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Institution

Linköping University

EducationLinköping, Sweden
About: Linköping University is a education organization based out in Linköping, Sweden. It is known for research contribution in the topics: Population & Thin film. The organization has 15671 authors who have published 50013 publications receiving 1542189 citations.


Papers
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Journal ArticleDOI
TL;DR: Optical band gaps, evaluated from spectrophotometric data, were widened in proportion to the Al doping, and could be quantitatively reconciled with an effective-mass model for n-doped semiconductors, provided the polar character of ZnO was accounted for.
Abstract: Films of ZnO:Al were produced by weakly reactive dual-target magnetron sputtering. Optical band gaps, evaluated from spectrophotometric data, were widened in proportion to the Al doping. The widening could be quantitatively reconciled with an effective-mass model for n-doped semiconductors, provided the polar character of ZnO was accounted for.

829 citations

Journal ArticleDOI
TL;DR: In this article, large scale synthesis and delamination of 2D Mo2CTx (where T is a surface termination group) has been achieved by selectively etching gallium from the recently discovered nanolaminated, ternary tra...
Abstract: Large scale synthesis and delamination of 2D Mo2CTx (where T is a surface termination group) has been achieved by selectively etching gallium from the recently discovered nanolaminated, ternary tra ...

829 citations

Journal ArticleDOI
TL;DR: The accumulation of lipofuscin within postmitotic cells is a recognized hallmark of aging occuring with a rate inversely related to longevity as mentioned in this paper, whereas proliferative cells efficiently dilute it during division.

827 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigate the research development in supply chain risk management (SCRM), which has shown an increasing global attention in recent years, and present a literature survey and ci...

825 citations

Journal ArticleDOI
TL;DR: The authors extracted explicit and implicit biomedical knowledge from publicly available gene and text databases to create a gene-to-gene co-citation network for 13,712 named human genes by automated analysis of titles and abstracts in over 10 million MEDLINE records.
Abstract: We have carried out automated extraction of explicit and implicit biomedical knowledge from publicly available gene and text databases to create a gene-to-gene co-citation network for 13,712 named human genes by automated analysis of titles and abstracts in over 10 million MEDLINE records. The associations between genes have been annotated by linking genes to terms from the medical subject heading (MeSH) index and terms from the gene ontology (GO) database. The extracted database and accompanying web tools for gene-expression analysis have collectively been named 'PubGene'. We validated the extracted networks by three large-scale experiments showing that co-occurrence reflects biologically meaningful relationships, thus providing an approach to extract and structure known biology. We validated the applicability of the tools by analyzing two publicly available microarray data sets.

822 citations


Authors

Showing all 15844 results

NameH-indexPapersCitations
Rui Zhang1512625107917
Jun Lu135152699767
Jean-Luc Brédas134102685803
Lars Wallentin12476761020
S. Shankar Sastry12285886155
Gerhard Andersson11890249159
Olle Inganäs11362750562
Antonio Facchetti11160251885
Ray H. Baughman11061660009
Michel W. Barsoum10654360539
Louis J. Ignarro10633546008
Per Björntorp10538640321
Jan Lubinski10368952120
Magnus Johannesson10234240776
Barbara Riegel10150777674
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
202385
2022359
20213,190
20203,210
20193,029