Ji‐Ming Ye
Impact in
- Physiology top 2%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
-
- Diet, Metabolism, and Disease
Papers in
-
- Metabolism, Diabetes, and Cancer 20
- Peroxisome Proliferator-Activated Receptors 8
- Physiology 26
- Adipose Tissue and Metabolism 22
- Co-authors
- Edward W. Kraegen (15 shared papers)Gregory J. Cooney (13 shared papers)Miguel A. Iglesias (6 shared papers)Xiao‐Yi Zeng (17 shared papers)David G. Watson (2 shared papers)Eric Q. Colquhoun (8 shared papers)Georgia Frangioudakis (5 shared papers)Ruo‐Qiong Sun (7 shared papers)
- Journals
- Diabetes (9 papers)PLoS ONE (6 papers)British Journal of Pharmacology (5 papers)Acta Pharmacologica Sinica (5 papers)Endocrinology (4 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Ji‐Ming Ye
77 papers receiving 3.4k citations
Ji‐Ming Ye's Hit Papers
Peers
Comparison fields: 5 of 137
- Physiology 974
- Endocrinology, Diabetes and Metabolism 596
- Geriatrics and Gerontology 90
- Epidemiology 787
- Molecular Biology 1.6k
Countries citing papers authored by Ji‐Ming Ye
This map shows the geographic impact of Ji‐Ming 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 Ji‐Ming Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji‐Ming Ye more than expected).
Fields of papers citing papers by Ji‐Ming Ye
This network shows the impact of papers produced by Ji‐Ming 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 Ji‐Ming Ye. The network helps show where Ji‐Ming Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji‐Ming 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 313 | |
| 2 | Gut Akkermansia muciniphila ameliorates metabolic dysfunction-associated fatty liver disease by regulating the metabolism of L-aspartate via gut-liver axis Hit paper breakdown → | 2021 | 257 |
| 3 | 2002 | 250 | |
| 4 | 2003 | 137 | |
| 5 | 2009 | 135 | |
| 6 | 2013 | 129 | |
| 7 | 2012 | 127 | |
| 8 | 2010 | 86 | |
| 9 | 2004 | 67 | |
| 10 | 2015 | 65 | |
| 11 | 2013 | 63 | |
| 12 | 2012 | 62 | |
| 13 | 2014 | 59 | |
| 14 | 2006 | 57 | |
| 15 | 2003 | 57 | |
| 16 | 1988 | 57 | |
| 17 | 2004 | 57 | |
| 18 | 1999 | 54 | |
| 19 | 2013 | 53 | |
| 20 | 2013 | 52 |
About Ji‐Ming Ye
Ji‐Ming Ye is a scholar working on Molecular Biology, Physiology, Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 80 papers that have together received 3.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (22 papers), Metabolism, Diabetes, and Cancer (20 papers), Diet, Metabolism, and Disease (15 papers), Pancreatic function and diabetes (14 papers), Liver Disease Diagnosis and Treatment (14 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Peroxisome Proliferator-Activated Receptors (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). The work is most often cited by research in Physiology (974 citations), Endocrinology, Diabetes and Metabolism (596 citations), Geriatrics and Gerontology (90 citations), Epidemiology (787 citations) and Molecular Biology (1.6k citations). Ji‐Ming Ye has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Edward W. Kraegen, Gregory J. Cooney, Miguel A. Iglesias, Xiao‐Yi Zeng, David G. Watson, Eric Q. Colquhoun, Georgia Frangioudakis, Ruo‐Qiong Sun, Hao Wang and Patrick J. Doyle. Their work appears in journals such as Diabetes, PLoS ONE, British Journal of Pharmacology, Acta Pharmacologica Sinica and Endocrinology.
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.