Bing Yan
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
Papers in
-
- Gout, Hyperuricemia, Uric Acid 3
-
- Gestational Diabetes Research and Management 2
- Co-authors
- Shuyu Yang (11 shared papers)Xiulin Shi (10 shared papers)Huijie Zhang (4 shared papers)Zhibin Li (7 shared papers)Yongwen Liu (4 shared papers)Xuejun Li (11 shared papers)Changqin Liu (10 shared papers)Wei Zhang (4 shared papers)
- Journals
- Scientific Reports (3 papers)PLoS ONE (3 papers)Frontiers in Endocrinology (2 papers)Theranostics (1 paper)American Journal of Translational Research (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Bing Yan
28 papers receiving 732 citations
Peers
Comparison fields: 5 of 83
- Physiology 241
- Nephrology 66
- Reproductive Medicine 50
- Drug Discovery 1
- Endocrinology, Diabetes and Metabolism 76
Countries citing papers authored by Bing Yan
This map shows the geographic impact of Bing Yan'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 Bing Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Yan more than expected).
Fields of papers citing papers by Bing Yan
This network shows the impact of papers produced by Bing Yan. 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 Bing Yan. The network helps show where Bing Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Yan, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 146 | |
| 2 | 2022 | 93 | |
| 3 | 2017 | 76 | |
| 4 | 2010 | 57 | |
| 5 | 2012 | 54 | |
| 6 | 2011 | 37 | |
| 7 | 2016 | 37 | |
| 8 | 2016 | 32 | |
| 9 | 2010 | 20 | |
| 10 | 2023 | 20 | |
| 11 | 2019 | 19 | |
| 12 | 2020 | 17 | |
| 13 | 2016 | 17 | |
| 14 | 2020 | 16 | |
| 15 | 2013 | 15 | |
| 16 | 2022 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 2013 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2017 | 10 |
About Bing Yan
Bing Yan is a scholar working on Nephrology, Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, Physiology and Reproductive Medicine, having authored 28 papers that have together received 752 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (4 papers), Adipose Tissue and Metabolism (3 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Gestational Diabetes Research and Management (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Kruppel-like factors research (2 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Physiology (241 citations), Nephrology (66 citations), Reproductive Medicine (50 citations), Drug Discovery (1 citation) and Endocrinology, Diabetes and Metabolism (76 citations). Bing Yan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shuyu Yang, Xiulin Shi, Huijie Zhang, Zhibin Li, Yongwen Liu, Xuejun Li, Changqin Liu, Wei Zhang, Zhimin Ma and Lingling Pan. Their work appears in journals such as Scientific Reports, PLoS ONE, Frontiers in Endocrinology, Theranostics and American Journal of Translational Research.
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.