Example of Wiley Interdisciplinary Reviews: Systems Biology and Medicine format
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Example of Wiley Interdisciplinary Reviews: Systems Biology and Medicine format Example of Wiley Interdisciplinary Reviews: Systems Biology and Medicine format Example of Wiley Interdisciplinary Reviews: Systems Biology and Medicine format Example of Wiley Interdisciplinary Reviews: Systems Biology and Medicine format Example of Wiley Interdisciplinary Reviews: Systems Biology and Medicine format Example of Wiley Interdisciplinary Reviews: Systems Biology and Medicine format
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Example of Wiley Interdisciplinary Reviews: Systems Biology and Medicine format Example of Wiley Interdisciplinary Reviews: Systems Biology and Medicine format Example of Wiley Interdisciplinary Reviews: Systems Biology and Medicine format Example of Wiley Interdisciplinary Reviews: Systems Biology and Medicine format Example of Wiley Interdisciplinary Reviews: Systems Biology and Medicine format Example of Wiley Interdisciplinary Reviews: Systems Biology and Medicine format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
open access Open Access
recommended Recommended

Wiley Interdisciplinary Reviews: Systems Biology and Medicine — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Biochemistry, Genetics and Molecular Biology (miscellaneous) #2 of 46 up up by 2 ranks
Medicine (miscellaneous) #18 of 238 up up by 16 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 101 Published Papers | 946 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 03/07/2020
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Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

4.275

21% from 2018

Impact factor for Wiley Interdisciplinary Reviews: Systems Biology and Medicine from 2016 - 2019
Year Value
2019 4.275
2018 3.542
2017 3.709
2016 2.385
graph view Graph view
table view Table view

9.4

2% from 2019

CiteRatio for Wiley Interdisciplinary Reviews: Systems Biology and Medicine from 2016 - 2020
Year Value
2020 9.4
2019 9.6
2018 7.4
2017 6.3
2016 6.4
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 21% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has decreased by 2% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

2.087

4% from 2019

SJR for Wiley Interdisciplinary Reviews: Systems Biology and Medicine from 2016 - 2020
Year Value
2020 2.087
2019 2.004
2018 1.569
2017 1.58
2016 1.228
graph view Graph view
table view Table view

1.164

10% from 2019

SNIP for Wiley Interdisciplinary Reviews: Systems Biology and Medicine from 2016 - 2020
Year Value
2020 1.164
2019 1.299
2018 1.001
2017 1.157
2016 0.85
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 4% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 10% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Wiley Interdisciplinary Reviews: Systems Biology and Medicine

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Wiley

Wiley Interdisciplinary Reviews: Systems Biology and Medicine

WIREs Systems Biology and Medicine is a cutting-edge interdisciplinary forum that combines the most powerful features of online reference works and review journals to provide the most comprehensive coverage of systems biology and systems medicine research. WIREs Systems Biolog...... Read More

Biochemistry, Genetics and Molecular Biology

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Last updated on
02 Jul 2020
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ISSN
1939-5094
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Impact Factor
High - 1.003
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Yellow faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
apa
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Citation Type
Numbered
[25]
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Bibliography Example
Beenakker, C.W.J. (2006) Specular andreev reflection in graphene.Phys. Rev. Lett., 97 (6), 067 007. URL 10.1103/PhysRevLett.97.067007.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1002/WSBM.86
Hematopoietic stem cell: self-renewal versus differentiation
Jun Seita1, Irving L. Weissman1

Abstract:

The mammalian blood system, containing more than 10 distinct mature cell types, stands on one specific cell type, hematopoietic stem cell (HSC). Within the system, only HSCs possess the ability of both multipotency and self-renewal. Multipotency is the ability to differentiate into all functional blood cells. Self-renewal is ... The mammalian blood system, containing more than 10 distinct mature cell types, stands on one specific cell type, hematopoietic stem cell (HSC). Within the system, only HSCs possess the ability of both multipotency and self-renewal. Multipotency is the ability to differentiate into all functional blood cells. Self-renewal is the ability to give rise to HSC itself without differentiation. Since mature blood cells (MBCs) are predominantly short-lived, HSCs continuously provide more differentiated progenitors while properly maintaining the HSC pool size throughout life by precisely balancing self-renewal and differentiation. Thus, understanding the mechanisms of self-renewal and differentiation of HSC has been a central issue. In this review, we focus on the hierarchical structure of the hematopoietic system, the current understanding of microenvironment and molecular cues regulating self-renewal and differentiation of adult HSCs, and the currently emerging systems approaches to understand HSC biology. read more read less

Topics:

Adult stem cell (56%)56% related to the paper, Cellular differentiation (55%)55% related to the paper, Hematopoietic stem cell (55%)55% related to the paper, Stem cell (53%)53% related to the paper, Progenitor cell (52%)52% related to the paper
View PDF
734 Citations
open accessOpen access Journal Article DOI: 10.1002/WSBM.1331
Signaling via the NFκB system.
Simon Mitchell1, Jesse D. Vargas1, Alexander Hoffmann1

Abstract:

The nuclear factor kappa B (NFκB) family of transcription factors is a key regulator of immune development, immune responses, inflammation, and cancer. The NFκB signaling system (defined by the interactions between NFκB dimers, IκB regulators, and IKK complexes) is responsive to a number of stimuli, and upon ligand-receptor e... The nuclear factor kappa B (NFκB) family of transcription factors is a key regulator of immune development, immune responses, inflammation, and cancer. The NFκB signaling system (defined by the interactions between NFκB dimers, IκB regulators, and IKK complexes) is responsive to a number of stimuli, and upon ligand-receptor engagement, distinct cellular outcomes, appropriate to the specific signal received, are set into motion. After almost three decades of study, many signaling mechanisms are well understood, rendering them amenable to mathematical modeling, which can reveal deeper insights about the regulatory design principles. While other reviews have focused on upstream, receptor proximal signaling (Hayden MS, Ghosh S. Signaling to NF-κB. Genes Dev 2004, 18:2195-2224; Verstrepen L, Bekaert T, Chau TL, Tavernier J, Chariot A, Beyaert R. TLR-4, IL-1R and TNF-R signaling to NF-κB: variations on a common theme. Cell Mol Life Sci 2008, 65:2964-2978), and advances through computational modeling (Basak S, Behar M, Hoffmann A. Lessons from mathematically modeling the NF-κB pathway. Immunol Rev 2012, 246:221-238; Williams R, Timmis J, Qwarnstrom E. Computational models of the NF-KB signalling pathway. Computation 2014, 2:131), in this review we aim to summarize the current understanding of the NFκB signaling system itself, the molecular mechanisms, and systems properties that are key to its diverse biological functions, and we discuss remaining questions in the field. WIREs Syst Biol Med 2016, 8:227-241. doi: 10.1002/wsbm.1331 For further resources related to this article, please visit the WIREs website. read more read less
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597 Citations
open accessOpen access Journal Article DOI: 10.1002/WSBM.1185
Post-translational modification: nature's escape from genetic imprisonment and the basis for dynamic information encoding.
Sudhakaran Prabakaran1, Guy Lippens2, Hanno Steen3, Jeremy Gunawardena1

Abstract:

We discuss protein post-translational modification (PTM) from an information processing perspective. PTM at multiple sites on a protein creates a combinatorial explosion in the number of potential 'mod-forms', or global patterns of modification. Distinct mod-forms can elicit distinct downstream responses, so that the overall ... We discuss protein post-translational modification (PTM) from an information processing perspective. PTM at multiple sites on a protein creates a combinatorial explosion in the number of potential 'mod-forms', or global patterns of modification. Distinct mod-forms can elicit distinct downstream responses, so that the overall response depends partly on the effectiveness of a particular mod-form to elicit a response and partly on the stoichiometry of that mod-form in the molecular population. We introduce the 'mod-form distribution'-the relative stoichiometries of each mod-form-as the most informative measure of a protein's state. Distinct mod-form distributions may summarize information about distinct cellular and physiological conditions and allow downstream processes to interpret this information accordingly. Such information 'encoding' by PTMs may facilitate evolution by weakening the need to directly link upstream conditions to downstream responses. Mod-form distributions provide a quantitative framework in which to interpret ideas of 'PTM codes' that are emerging in several areas of biology, as we show by reviewing examples of ion channels, GPCRs, microtubules, and transcriptional co-regulators. We focus particularly on examples other than the well-known 'histone code', to emphasize the pervasive use of information encoding in molecular biology. Finally, we touch briefly on new methods for measuring mod-form distributions. read more read less

Topics:

Population (51%)51% related to the paper
View PDF
324 Citations
open accessOpen access Journal Article DOI: 10.1002/WSBM.102
Hybrid models of tumor growth.

Abstract:

Cancer is a complex, multiscale process in which genetic mutations occurring at a subcellular level manifest themselves as functional changes at the cellular and tissue scale. The multiscale nature of cancer requires mathematical modeling approaches that can handle multiple intracellular and extracellular factors acting on di... Cancer is a complex, multiscale process in which genetic mutations occurring at a subcellular level manifest themselves as functional changes at the cellular and tissue scale. The multiscale nature of cancer requires mathematical modeling approaches that can handle multiple intracellular and extracellular factors acting on different time and space scales. Hybrid models provide a way to integrate both discrete and continuous variables that are used to represent individual cells and concentrationordensityfields,respectively.Eachdiscretecellcanalsobeequipped with submodels that drive cell behavior in response to microenvironmental cues. Moreover, the individual cells can interact with one another to form and act as an integrated tissue. Hybrid models form part of a larger class of individualbased models that can naturally connect with tumor cell biology and allow for the integration of multiple interacting variables both intrinsically and extrinsically and are therefore perfectly suited to a systems biology approach to tumor read more read less

Topics:

Systems biology (52%)52% related to the paper, Tumor Cell Biology (51%)51% related to the paper
View PDF
309 Citations
open accessOpen access Journal Article DOI: 10.1002/WSBM.45
Agent-based models in translational systems biology
Gary An1, Gary An2, Qi Mi2, Joyeeta Dutta-Moscato2, Yoram Vodovotz2

Abstract:

Agent-based modeling is an object-oriented, discrete event, population-focused method for the computational representation of dynamic systems. Agent-based models (ABMs) treat systems as aggregates of populations of interacting components governed by rules. This means of system representation allows ABMs to map well to how bio... Agent-based modeling is an object-oriented, discrete event, population-focused method for the computational representation of dynamic systems. Agent-based models (ABMs) treat systems as aggregates of populations of interacting components governed by rules. This means of system representation allows ABMs to map well to how biological knowledge is represented and communicated. As a result, agent-based modeling is an intuitive means by which biomedical researchers can represent their knowledge in a dynamic computational form and in so doing can lower the threshold for the general biological researcher to engage in computational modeling. ABMs are particularly suited for representing the behavior of populations of cells (i.e., “cell-as-agents”) but have also been used to model lower level processes, such as molecular interactions when spatial and structural properties are involved, as well as higher level systems, such as in human populations in epidemiological studies. For purposes of its use in translational systems biology, we focus on the use of cell/tissue-as-agent ABMs and demonstrate how agent-based modeling can serve as an integrating framework for dynamic knowledge representation of biological systems. read more read less

Topics:

Systems biology (53%)53% related to the paper, Knowledge representation and reasoning (52%)52% related to the paper
View PDF
283 Citations
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Frequently asked questions

1. Can I write Wiley Interdisciplinary Reviews: Systems Biology and Medicine in LaTeX?

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3. Can I cite my article in multiple styles in Wiley Interdisciplinary Reviews: Systems Biology and Medicine?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Wiley Interdisciplinary Reviews: Systems Biology and Medicine citation style.

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Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Wiley Interdisciplinary Reviews: Systems Biology and Medicine.

5. Can I use a manuscript in Wiley Interdisciplinary Reviews: Systems Biology and Medicine that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Wiley Interdisciplinary Reviews: Systems Biology and Medicine that you can download at the end.

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Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

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SciSpace's Wiley Interdisciplinary Reviews: Systems Biology and Medicine is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

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After writing your paper autoformatting in Wiley Interdisciplinary Reviews: Systems Biology and Medicine, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Wiley Interdisciplinary Reviews: Systems Biology and Medicine's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Wiley Interdisciplinary Reviews: Systems Biology and Medicine?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Wiley Interdisciplinary Reviews: Systems Biology and Medicine. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Wiley Interdisciplinary Reviews: Systems Biology and Medicine?

The 5 most common citation types in order of usage for Wiley Interdisciplinary Reviews: Systems Biology and Medicine are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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16. Can I download Wiley Interdisciplinary Reviews: Systems Biology and Medicine in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Wiley Interdisciplinary Reviews: Systems Biology and Medicine Endnote style according to Elsevier guidelines.

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