Jin Yang
Impact in
-
- Diabetes Treatment and Management
- Thyroid Disorders and Treatments
- Diabetes Management and Research
- Nephrology top 5%
- Parathyroid Disorders and Treatments
Papers in
- Surgery 24
- Pancreatic function and diabetes 22
-
- Metabolism, Diabetes, and Cancer 7
- Pluripotent Stem Cells Research 4
- Co-authors
- Tianpei Hong (45 shared papers)Rui Wei (37 shared papers)Ye Liu (9 shared papers)Toshio Ogihara (11 shared papers)Kun Yang (16 shared papers)Junling Liu (11 shared papers)Haining Wang (11 shared papers)Qing Tian (12 shared papers)
- Journals
- Peptides (4 papers)Diabetes/Metabolism Research and Reviews (3 papers)American Journal of Physiology-Endocrinology and Metabolism (3 papers)PLoS ONE (3 papers)Acta Diabetologica (3 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jin Yang
74 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 102
- Endocrinology, Diabetes and Metabolism 586
- Nephrology 173
- Surgery 456
- Endocrine and Autonomic Systems 61
- Physiology 213
Countries citing papers authored by Jin Yang
This map shows the geographic impact of Jin 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 Jin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Yang more than expected).
Fields of papers citing papers by Jin Yang
This network shows the impact of papers produced by Jin 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 Jin Yang. The network helps show where Jin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 150 | |
| 2 | 2016 | 117 | |
| 3 | 2007 | 90 | |
| 4 | 2020 | 76 | |
| 5 | 2013 | 74 | |
| 6 | 2014 | 66 | |
| 7 | 1998 | 66 | |
| 8 | 2019 | 66 | |
| 9 | 2002 | 58 | |
| 10 | 2014 | 57 | |
| 11 | 2016 | 54 | |
| 12 | 2020 | 45 | |
| 13 | 2003 | 39 | |
| 14 | 2002 | 37 | |
| 15 | 2019 | 36 | |
| 16 | 2023 | 34 | |
| 17 | 2001 | 33 | |
| 18 | 2017 | 33 | |
| 19 | 2020 | 32 | |
| 20 | 2017 | 32 |
About Jin Yang
Jin Yang is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology and Genetics, having authored 77 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (22 papers), Diabetes Treatment and Management (15 papers), Metabolism, Diabetes, and Cancer (7 papers), Parathyroid Disorders and Treatments (6 papers), Nitric Oxide and Endothelin Effects (4 papers), Diabetes and associated disorders (4 papers), Diabetes Management and Research (4 papers) and Pluripotent Stem Cells Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (586 citations), Nephrology (173 citations), Surgery (456 citations), Endocrine and Autonomic Systems (61 citations) and Physiology (213 citations). Jin Yang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Tianpei Hong, Rui Wei, Ye Liu, Toshio Ogihara, Kun Yang, Junling Liu, Haining Wang, Qing Tian, Keisuke Fukuo and Jing Ke. Their work appears in journals such as Peptides, Diabetes/Metabolism Research and Reviews, American Journal of Physiology-Endocrinology and Metabolism, PLoS ONE and Acta Diabetologica.
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.