Example of Physiological Genomics format
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Example of Physiological Genomics format Example of Physiological Genomics format Example of Physiological Genomics format Example of Physiological Genomics format Example of Physiological Genomics format Example of Physiological Genomics format Example of Physiological Genomics format Example of Physiological Genomics format Example of Physiological Genomics format
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Example of Physiological Genomics format Example of Physiological Genomics format Example of Physiological Genomics format Example of Physiological Genomics format Example of Physiological Genomics format Example of Physiological Genomics format Example of Physiological Genomics format Example of Physiological Genomics format Example of Physiological Genomics format
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This content is only for preview purposes. The original open access content can be found here.
open access Open Access

Physiological Genomics — Template for authors

Categories Rank Trend in last 3 yrs
Physiology #61 of 169 down down by 4 ranks
Genetics #124 of 325 down down by 11 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 289 Published Papers | 1491 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 08/07/2020
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FAQ

Related Journals

open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 6.6
SJR: 1.17
SNIP: 1.385
open access Open Access
recommended Recommended

Wiley

Quality:  
High
CiteRatio: 7.2
SJR: 1.351
SNIP: 1.367
open access Open Access

The Scientific and Technological Research Council of Turkey (TUBITAK)

Quality:  
Good
CiteRatio: 2.0
SJR: 0.323
SNIP: 0.468
open access Open Access

Taylor and Francis

Quality:  
High
CiteRatio: 6.2
SJR: 0.981
SNIP: 1.447

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.

2.749

7% from 2018

Impact factor for Physiological Genomics from 2016 - 2019
Year Value
2019 2.749
2018 2.581
2017 2.782
2016 3.044
graph view Graph view
table view Table view

5.2

8% from 2019

CiteRatio for Physiological Genomics from 2016 - 2020
Year Value
2020 5.2
2019 4.8
2018 3.9
2017 5.1
2016 5.1
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 7% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 8% 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.

1.078

7% from 2019

SJR for Physiological Genomics from 2016 - 2020
Year Value
2020 1.078
2019 1.153
2018 1.029
2017 1.346
2016 1.448
graph view Graph view
table view Table view

0.779

1% from 2019

SNIP for Physiological Genomics from 2016 - 2020
Year Value
2020 0.779
2019 0.788
2018 0.683
2017 0.764
2016 0.715
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 7% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 1% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Physiological Genomics

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American Physiological Society

Physiological Genomics

Physiological Genomics publishes original papers, reviews and rapid reports in a wide area of research focused on uncovering the links between genes and physiology at all levels of biological organization. Articles on topics ranging from single genes to the whole genome and th...... Read More

Physiology

Genetics

Biochemistry, Genetics and Molecular Biology

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Last updated on
08 Jul 2020
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ISSN
1094-8341
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Impact Factor
Very High - 3.044
i
Open Access
No
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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
unsrt
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Citation Type
Numbered
(25)
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Bibliography Example
C. W. J. Beenakker. Specular andreev reflection in graphene. Phys. Rev. Lett., 97(6):067007, 2006.

Top papers written in this journal

Journal Article DOI: 10.1152/PHYSIOLGENOMICS.00025.2005
GAPDH as a housekeeping gene: analysis of GAPDH mRNA expression in a panel of 72 human tissues
Robert D Barber1, Dan W. Harmer1, R.A. Coleman1, Brian J. Clark1
11 May 2005 - Physiological Genomics

Abstract:

Quantitative gene expression data are often normalized to the expression levels of control or so-called “housekeeping” genes. An inherent assumption in the use of housekeeping genes is that express... Quantitative gene expression data are often normalized to the expression levels of control or so-called “housekeeping” genes. An inherent assumption in the use of housekeeping genes is that express... read more read less

Topics:

Housekeeping gene (79%)79% related to the paper, Regulation of gene expression (53%)53% related to the paper, Gene expression (51%)51% related to the paper, Gene (50%)50% related to the paper
755 Citations
Journal Article DOI: 10.1152/PHYSIOLGENOMICS.00122.2003
Life-long reduction in MnSOD activity results in increased DNA damage and higher incidence of cancer but does not accelerate aging
16 Dec 2003 - Physiological Genomics

Abstract:

Mice heterozygous for the Sod2 gene (Sod2+/− mice) have been used to study the phenotype of life-long reduced Mn-superoxide dismutase (MnSOD) activity. The Sod2+/− mice have reduced MnSOD activity ... Mice heterozygous for the Sod2 gene (Sod2+/− mice) have been used to study the phenotype of life-long reduced Mn-superoxide dismutase (MnSOD) activity. The Sod2+/− mice have reduced MnSOD activity ... read more read less

Topics:

SOD2 (50%)50% related to the paper
View PDF
713 Citations
Journal Article DOI: 10.1152/PHYSIOLGENOMICS.00144.2007
Altered microRNA expression in human heart disease
01 Nov 2007 - Physiological Genomics

Abstract:

MicroRNAs are recently discovered regulators of gene expression and are becoming increasingly recognized as important regulators of heart function. Genome-wide profiling of microRNAs in human heart... MicroRNAs are recently discovered regulators of gene expression and are becoming increasingly recognized as important regulators of heart function. Genome-wide profiling of microRNAs in human heart... read more read less

Topics:

Gene expression profiling (50%)50% related to the paper
View PDF
646 Citations
Journal Article DOI: 10.1152/PHYSIOLGENOMICS.2000.2.3.143
Comparison of human adult and fetal expression and identification of 535 housekeeping/maintenance genes
Janet A. Warrington1, Archana Nair1, Mamatha Mahadevappa1, Maya Tsyganskaya1
27 Apr 2000 - Physiological Genomics

Abstract:

Warrington, Janet A., Archana Nair, Mamatha Mahadevappa, and Maya Tsyganskaya. Comparison of human adult and fetal expression and identification of 535 housekeeping/maintenance genes. Physiol Genomics 2: 143–147, 2000.—Gene expression levels of about 7,000 genes were measured in 11 different human adult and fetal tissues usin... Warrington, Janet A., Archana Nair, Mamatha Mahadevappa, and Maya Tsyganskaya. Comparison of human adult and fetal expression and identification of 535 housekeeping/maintenance genes. Physiol Genomics 2: 143–147, 2000.—Gene expression levels of about 7,000 genes were measured in 11 different human adult and fetal tissues using high-density oligonucleotide arrays to identify genes involved in cellular maintenance. The tissues share a set of 535 transcripts that are turned on early in fetal development and stay on throughout adulthood. Because our goal was to identify genes that are involved in maintaining cellular function in normal individuals, we minimized the effect of individual variation by screening mRNA pooled from many individuals. This information is useful for establishing average expression levels in normal individuals. Additionally, we identified transcripts uniquely expressed in each of the 11 tissues. read more read less

Topics:

Housekeeping gene (62%)62% related to the paper, Gene expression profiling (51%)51% related to the paper
View PDF
555 Citations
open accessOpen access Journal Article DOI: 10.1152/PHYSIOLGENOMICS.00040.2001
A compendium of gene expression in normal human tissues.
21 Dec 2001 - Physiological Genomics

Abstract:

This study creates a compendium of gene expression in normal human tissues suitable as a reference for defining basic organ systems biology. Using oligonucleotide microarrays, we analyze 59 samples representing 19 distinct tissue types. Of approximately 7,000 genes analyzed, 451 genes are expressed in all tissue types and des... This study creates a compendium of gene expression in normal human tissues suitable as a reference for defining basic organ systems biology. Using oligonucleotide microarrays, we analyze 59 samples representing 19 distinct tissue types. Of approximately 7,000 genes analyzed, 451 genes are expressed in all tissue types and designated as housekeeping genes. These genes display significant variation in expression levels among tissues and are sufficient for discerning tissue-specific expression signatures, indicative of fundamental differences in biochemical processes. In addition, subsets of tissue-selective genes are identified that define key biological processes characterizing each organ. This compendium highlights similarities and differences among organ systems and different individuals and also provides a publicly available resource (Human Gene Expression Index, the HuGE Index, http://www.hugeindex.org) for future studies of pathophysiology. read more read less

Topics:

Housekeeping gene (59%)59% related to the paper, Gene expression profiling (55%)55% related to the paper, Organ Specificity (52%)52% related to the paper, DNA microarray (52%)52% related to the paper
View PDF
479 Citations
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With SciSpace, you do not need a word template for Physiological Genomics.

It automatically formats your research paper to American Physiological Society formatting guidelines and citation style.

You can download a submission ready research paper in pdf, LaTeX and docx formats.

Time comparison

Time taken to format a paper and Compliance with guidelines

Plagiarism Reports via Turnitin

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Using this service, researchers can compare submissions against more than 170 million scholarly articles, a database of 70+ billion current and archived web pages. How Turnitin Integration works?

Turnitin Stats
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Physiological Genomics format uses unsrt citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

1. Can I write Physiological Genomics in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Physiological Genomics guidelines and auto format it.

2. Do you follow the Physiological Genomics guidelines?

Yes, the template is compliant with the Physiological Genomics guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Physiological Genomics?

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 Physiological Genomics citation style.

4. Can I use the Physiological Genomics templates for free?

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 Physiological Genomics.

5. Can I use a manuscript in Physiological Genomics 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 Physiological Genomics that you can download at the end.

6. How long does it usually take you to format my papers in Physiological Genomics?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Physiological Genomics.

7. Where can I find the template for the Physiological Genomics?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Physiological Genomics's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Physiological Genomics's guidelines?

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.

9. Physiological Genomics an online tool or is there a desktop version?

SciSpace's Physiological Genomics 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.

10. I cannot find my template in your gallery. Can you create it for me like Physiological Genomics?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Physiological Genomics?”

11. What is the output that I would get after using Physiological Genomics?

After writing your paper autoformatting in Physiological Genomics, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Physiological Genomics'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 Physiological Genomics?

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 Physiological Genomics. 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 Physiological Genomics?

The 5 most common citation types in order of usage for Physiological Genomics are:.

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

15. How do I submit my article to the Physiological Genomics?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Physiological Genomics's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Physiological Genomics 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 Physiological Genomics Endnote style according to Elsevier guidelines.

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I spent hours with MS word for reformatting. It was frustrating - plain and simple. With SciSpace, I can draft my manuscripts and once it is finished I can just submit. In case, I have to submit to another journal it is really just a button click instead of an afternoon of reformatting.

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