Yan Tan
Impact in
- Genetics top 10%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
Papers in
- Co-authors
- Ayad A. Jaffa (6 shared papers)Wei Tan (3 shared papers)Chunhua Li (1 shared paper)Zhiyou Cai (1 shared paper)Liangqing Zhang (1 shared paper)Sohel H. Quazi (1 shared paper)Bin Zhao (1 shared paper)Keshen Li (1 shared paper)
- Journals
- American Journal of Physiology-Renal Physiology (2 papers)American Journal of Physiology-Heart and Circulatory Physiology (2 papers)Biomedical Materials (1 paper)The Nephron journals/Nephron journals (1 paper)International journal of cardiac imaging (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Yan Tan
19 papers receiving 427 citations
Peers
Comparison fields: 5 of 75
- Genetics 103
- Nephrology 38
- Physiology 19
- Biological Psychiatry 9
- Pharmacology 58
Countries citing papers authored by Yan Tan
This map shows the geographic impact of Yan Tan'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 Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Tan more than expected).
Fields of papers citing papers by Yan Tan
This network shows the impact of papers produced by Yan Tan. 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 Tan. The network helps show where Yan Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 108 | |
| 2 | 2007 | 47 | |
| 3 | 2014 | 41 | |
| 4 | 2012 | 41 | |
| 5 | 2005 | 35 | |
| 6 | 2004 | 28 | |
| 7 | 2005 | 26 | |
| 8 | 2024 | 15 | |
| 9 | 2018 | 12 | |
| 10 | 2005 | 12 | |
| 11 | Urinary type IV collagen: a specific indicator of incipient diabetic nephropathy. | 2002 | 12 |
| 12 | 2012 | 10 | |
| 13 | 2009 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2010 | 8 | |
| 16 | 2017 | 7 | |
| 17 | 1984 | 6 | |
| 18 | 1982 | 3 | |
| 19 | 2015 | 1 |
About Yan Tan
Yan Tan is a scholar working on Genetics, Surgery, Molecular Biology, Nephrology and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 431 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Connective Tissue Growth Factor Research (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Renal Diseases and Glomerulopathies (3 papers), Mast cells and histamine (2 papers), Mesenchymal stem cell research (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Connective tissue disorders research (1 paper). The work is most often cited by research in Genetics (103 citations), Nephrology (38 citations), Physiology (19 citations), Biological Psychiatry (9 citations) and Pharmacology (58 citations). Yan Tan has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Ayad A. Jaffa, Wei Tan, Chunhua Li, Zhiyou Cai, Liangqing Zhang, Sohel H. Quazi, Bin Zhao, Keshen Li, Bing Wang and Min Li. Their work appears in journals such as American Journal of Physiology-Renal Physiology, American Journal of Physiology-Heart and Circulatory Physiology, Biomedical Materials, The Nephron journals/Nephron journals and International journal of cardiac imaging.
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.