Jiang-Yan Yang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Biological Psychiatry top 10%
Papers in ⓘ
-
- Cell death mechanisms and regulation 8
- CRISPR and Genetic Engineering 3
- Surgery 8
- Pancreatic function and diabetes 8
- Co-authors
- Christian Widmann (16 shared papers)Igor Allaman (2 shared papers)Pierre J. Magistretti (2 shared papers)J. Petit (2 shared papers)Pascal Jourdain (1 shared paper)Evelyne Ruchti (1 shared paper)Gabriele Grenningloh (1 shared paper)Amar Abderrahmani (4 shared papers)
- Journals
- Diabetes (4 papers)Molecular and Cellular Biology (2 papers)Journal of Biological Chemistry (2 papers)Cytokine (2 papers)PLoS ONE (2 papers)
- Partner nations
- SwitzerlandChinaUnited States
In The Last Decade
Jiang-Yan Yang
27 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- Cancer Research 268
- Biological Psychiatry 44
- Developmental Neuroscience 63
- Neurology 124
- Cellular and Molecular Neuroscience 258
Countries citing papers authored by Jiang-Yan Yang
This map shows the geographic impact of Jiang-Yan Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jiang-Yan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang-Yan Yang more than expected).
Fields of papers citing papers by Jiang-Yan Yang
This network shows the impact of papers produced by Jiang-Yan Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jiang-Yan Yang. The network helps show where Jiang-Yan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiang-Yan Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 384 | |
| 2 | 2008 | 269 | |
| 3 | 2008 | 129 | |
| 4 | 2009 | 118 | |
| 5 | 2011 | 103 | |
| 6 | 2001 | 102 | |
| 7 | 2004 | 76 | |
| 8 | 2002 | 51 | |
| 9 | 2017 | 48 | |
| 10 | 2004 | 43 | |
| 11 | 2004 | 42 | |
| 12 | 2005 | 34 | |
| 13 | 2008 | 23 | |
| 14 | 2005 | 20 | |
| 15 | 2022 | 18 | |
| 16 | 2009 | 17 | |
| 17 | 2017 | 16 | |
| 18 | 2011 | 14 | |
| 19 | 2007 | 11 | |
| 20 | 2000 | 10 |
About Jiang-Yan Yang
Jiang-Yan Yang is a scholar working on Molecular Biology, Surgery, Genetics, Endocrinology, Diabetes and Metabolism and Oncology, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Cell death mechanisms and regulation (8 papers), Diabetes and associated disorders (6 papers), Diet, Metabolism, and Disease (3 papers), CRISPR and Genetic Engineering (3 papers), Plant Genetic and Mutation Studies (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Cancer Research (268 citations), Biological Psychiatry (44 citations), Developmental Neuroscience (63 citations), Neurology (124 citations) and Cellular and Molecular Neuroscience (258 citations). Jiang-Yan Yang has collaborated with scholars based in Switzerland, China and United States. Frequent co-authors include Christian Widmann, Igor Allaman, Pierre J. Magistretti, J. Petit, Pascal Jourdain, Evelyne Ruchti, Gabriele Grenningloh, Amar Abderrahmani, Romano Regazzi and David Michod. Their work appears in journals such as Diabetes, Molecular and Cellular Biology, Journal of Biological Chemistry, Cytokine and PLoS ONE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.