John Ventre
Impact in
-
- Diabetes Treatment and Management
- Diet, Metabolism, and Disease
- Physiology top 1%
- Adipose Tissue and Metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 7
- Peroxisome Proliferator-Activated Receptors 7
-
- Adipose Tissue and Metabolism 6
- Co-authors
- Thomas W. Doebber (10 shared papers)David E. Moller (8 shared papers)Margaret Wu (9 shared papers)Gaochao Zhou (3 shared papers)Michael F. Hirshman (2 shared papers)Nicolas Musi (2 shared papers)Nobuharu Fujii (2 shared papers)Laurie J. Goodyear (2 shared papers)
- Journals
- Endocrinology (3 papers)Journal of Clinical Investigation (3 papers)Molecular Pharmacology (2 papers)Drug Information Journal (2 papers)Journal of Histochemistry & Cytochemistry (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
John Ventre
18 papers receiving 6.1k citations
John Ventre's Hit Papers
Peers
Comparison fields: 5 of 115
- Endocrinology, Diabetes and Metabolism 1.2k
- Physiology 1.4k
- Molecular Biology 3.9k
- Geriatrics and Gerontology 153
- Aging 72
Countries citing papers authored by John Ventre
This map shows the geographic impact of John Ventre'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 John Ventre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Ventre more than expected).
Fields of papers citing papers by John Ventre
This network shows the impact of papers produced by John Ventre. 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 John Ventre. The network helps show where John Ventre may publish in the future.
Co-authors
The 25 scholars most cited alongside John Ventre, 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 | Role of AMP-activated protein kinase in mechanism of metformin action Hit paper breakdown → | 2001 | 4523 |
| 2 | 2001 | 400 | |
| 3 | 2003 | 273 | |
| 4 | 1998 | 245 | |
| 5 | 1997 | 239 | |
| 6 | 1992 | 172 | |
| 7 | 1998 | 118 | |
| 8 | 2001 | 51 | |
| 9 | 2000 | 46 | |
| 10 | 2001 | 35 | |
| 11 | 1995 | 27 | |
| 12 | 1996 | 24 | |
| 13 | 1993 | 16 | |
| 14 | 1998 | 15 | |
| 15 | 1991 | 12 | |
| 16 | 1990 | 6 | |
| 17 | 1991 | 3 | |
| 18 | 2000 | 2 |
About John Ventre
John Ventre is a scholar working on Molecular Biology, Physiology, Surgery, Immunology and Virology, having authored 18 papers that have together received 6.2k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (7 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Adipose Tissue and Metabolism (6 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), HIV Research and Treatment (2 papers), Pancreatic function and diabetes (2 papers) and Vitamin C and Antioxidants Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Physiology (1.4k citations), Molecular Biology (3.9k citations), Geriatrics and Gerontology (153 citations) and Aging (72 citations). John Ventre has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Thomas W. Doebber, David E. Moller, Margaret Wu, Gaochao Zhou, Michael F. Hirshman, Nicolas Musi, Nobuharu Fujii, Laurie J. Goodyear, Judy Fenyk‐Melody and Xiaolan Shen. Their work appears in journals such as Endocrinology, Journal of Clinical Investigation, Molecular Pharmacology, Drug Information Journal and Journal of Histochemistry & Cytochemistry.
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.