Jing Ye
Impact in
- Biochemistry top 0.2%
- Lipid metabolism and biosynthesis
- Physiology top 2%
- Adipose Tissue and Metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 7
- Surgery 38
- Pancreatic function and diabetes 12
- Pancreatitis Pathology and Treatment 9
- Co-authors
- Peng Li (8 shared papers)Morris F. White (5 shared papers)Deborah J. Burks (5 shared papers)Markus Schubert (5 shared papers)Yuan Yuan (14 shared papers)Jake A. Kushner (3 shared papers)Carrie L. Flint (3 shared papers)Peng Li (3 shared papers)
- Journals
- PLoS ONE (5 papers)Proceedings of the National Academy of Sciences (5 papers)Scientific Reports (4 papers)Journal of Clinical Investigation (4 papers)Journal of Lipid Research (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jing Ye
168 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 148
- Biochemistry 1.1k
- Physiology 1.0k
- Endocrinology, Diabetes and Metabolism 616
- Molecular Biology 2.5k
- Cancer Research 523
Countries citing papers authored by Jing Ye
This map shows the geographic impact of Jing Ye'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 Jing Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Ye more than expected).
Fields of papers citing papers by Jing Ye
This network shows the impact of papers produced by Jing Ye. 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 Jing Ye. The network helps show where Jing Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Ye, 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 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 393 | |
| 2 | 2008 | 219 | |
| 3 | 2003 | 213 | |
| 4 | 2013 | 204 | |
| 5 | 2009 | 198 | |
| 6 | 2014 | 168 | |
| 7 | 1999 | 161 | |
| 8 | 2002 | 152 | |
| 9 | 2012 | 149 | |
| 10 | 2002 | 141 | |
| 11 | 2012 | 139 | |
| 12 | 2019 | 126 | |
| 13 | 2017 | 120 | |
| 14 | 2014 | 101 | |
| 15 | 1995 | 98 | |
| 16 | 2019 | 97 | |
| 17 | 2012 | 96 | |
| 18 | 1998 | 77 | |
| 19 | 2013 | 73 | |
| 20 | 2017 | 71 |
About Jing Ye
Jing Ye is a scholar working on Molecular Biology, Surgery, Biochemistry, Oncology and Epidemiology, having authored 171 papers that have together received 5.5k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (30 papers), Adipose Tissue and Metabolism (13 papers), Pancreatic function and diabetes (12 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Pancreatitis Pathology and Treatment (9 papers), Liver Disease Diagnosis and Treatment (7 papers), Glioma Diagnosis and Treatment (7 papers) and Metabolism, Diabetes, and Cancer (7 papers). The work is most often cited by research in Biochemistry (1.1k citations), Physiology (1.0k citations), Endocrinology, Diabetes and Metabolism (616 citations), Molecular Biology (2.5k citations) and Cancer Research (523 citations). Jing Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Peng Li, Morris F. White, Deborah J. Burks, Markus Schubert, Yuan Yuan, Jake A. Kushner, Carrie L. Flint, Peng Li, John Li and Yu Gu. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Scientific Reports, Journal of Clinical Investigation and Journal of Lipid 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.