Yan Ge
Impact in
- Nephrology top 1%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
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- Regulation of Appetite and Obesity
Papers in
- Nephrology 27
- Renal Diseases and Glomerulopathies 23
- Chronic Kidney Disease and Diabetes 5
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- Wnt/β-catenin signaling in development and cancer 7
- Renal and related cancers 6
- Co-authors
- Rujun Gong (37 shared papers)Lance D. Dworkin (25 shared papers)Ai Peng (6 shared papers)Hui Bao (5 shared papers)Shougang Zhuang (7 shared papers)Patrick Concannon (7 shared papers)Shan Chen (3 shared papers)Zhihong Liu (3 shared papers)
- Journals
- Kidney International (6 papers)Scientific Reports (3 papers)PLoS ONE (3 papers)The Journal of Immunology (3 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Yan Ge
83 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 97
- Nephrology 509
- Endocrine and Autonomic Systems 116
- Immunology 283
- Molecular Biology 762
- Reproductive Medicine 74
Countries citing papers authored by Yan Ge
This map shows the geographic impact of Yan Ge'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 Yan Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ge more than expected).
Fields of papers citing papers by Yan Ge
This network shows the impact of papers produced by Yan Ge. 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 Yan Ge. The network helps show where Yan Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Ge, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 111 | |
| 2 | 2017 | 101 | |
| 3 | 2008 | 88 | |
| 4 | 2019 | 86 | |
| 5 | 2014 | 78 | |
| 6 | 2014 | 72 | |
| 7 | 2015 | 70 | |
| 8 | 2008 | 67 | |
| 9 | 2012 | 66 | |
| 10 | 2011 | 62 | |
| 11 | Age-related GSK3β overexpression drives podocyte senescence and glomerular aging | 2022 | 57 |
| 12 | 2014 | 57 | |
| 13 | 2015 | 57 | |
| 14 | 2013 | 49 | |
| 15 | 2017 | 48 | |
| 16 | 2016 | 48 | |
| 17 | 2000 | 47 | |
| 18 | 2019 | 47 | |
| 19 | 2008 | 37 | |
| 20 | 2013 | 36 |
About Yan Ge
Yan Ge is a scholar working on Nephrology, Molecular Biology, Immunology, Surgery and Genetics, having authored 91 papers that have together received 2.0k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (23 papers), Wnt/β-catenin signaling in development and cancer (7 papers), Renal and related cancers (6 papers), Systemic Lupus Erythematosus Research (6 papers), Epilepsy research and treatment (5 papers), Chronic Kidney Disease and Diabetes (5 papers), Immune Cell Function and Interaction (5 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Nephrology (509 citations), Endocrine and Autonomic Systems (116 citations), Immunology (283 citations), Molecular Biology (762 citations) and Reproductive Medicine (74 citations). Yan Ge has collaborated with scholars based in China, United States and France. Frequent co-authors include Rujun Gong, Lance D. Dworkin, Ai Peng, Hui Bao, Shougang Zhuang, Patrick Concannon, Shan Chen, Zhihong Liu, Abdalla Rifai and Zhangsuo Liu. Their work appears in journals such as Kidney International, Scientific Reports, PLoS ONE, The Journal of Immunology and Biochemical and Biophysical Research Communications.
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.