Gregory Michelotti
Impact in
- Hepatology top 1%
- Liver physiology and pathology
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment
Papers in
- Hepatology 11
- Liver physiology and pathology 7
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- Diet, Metabolism, and Disease 10
- Co-authors
- Anna Mae DiehlMariana Verdelho MachadoGuanhua XieRobert DuncanDavid LevensThiago A. PereiraRichard T. PremontCynthia D. Guy
- Journals
- American Journal of Physiology-Gastrointestinal and Liver Physiology (4 papers)PLoS ONE (4 papers)Gut (2 papers)Nature Medicine (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- United StatesUnited KingdomPortugal
In The Last Decade
Gregory Michelotti
47 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Hepatology 653
- Epidemiology 1.5k
- Endocrinology, Diabetes and Metabolism 497
- Cell Biology 467
- Cancer Research 427
Countries citing papers authored by Gregory Michelotti
This map shows the geographic impact of Gregory Michelotti'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 Gregory Michelotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Michelotti more than expected).
Fields of papers citing papers by Gregory Michelotti
This network shows the impact of papers produced by Gregory Michelotti. 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 Gregory Michelotti. The network helps show where Gregory Michelotti may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory Michelotti, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2022 | 7 | |
| 5 | 2020 | 29 | |
| 6 | 2019 | 15 | |
| 7 | 2018 | 267 | |
| 8 | 2017 | 12 | |
| 9 | 2016 | 42 | |
| 10 | 2016 | 43 | |
| 11 | Mouse Models of Diet-Induced Nonalcoholic Steatohepatitis Reproduce the Heterogeneity of the Human Disease Hit paper breakdown → | 2015 | 292 |
| 12 | 2015 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2015 | 18 | |
| 15 | 2015 | 27 | |
| 16 | 2014 | 77 | |
| 17 | 2014 | 27 | |
| 18 | NAFLD, NASH and liver cancer Hit paper breakdown → | 2013 | 768 |
| 19 | 1998 | 19 | |
| 20 | 1996 | 167 |
About Gregory Michelotti
Gregory Michelotti is a scholar working on Hepatology, Endocrinology, Diabetes and Metabolism, Epidemiology, Physiology and Cell Biology, having authored 48 papers that have together received 3.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (21 papers), Diet, Metabolism, and Disease (10 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Liver physiology and pathology (7 papers), Diet and metabolism studies (7 papers), Adipose Tissue and Metabolism (5 papers), Birth, Development, and Health (4 papers) and Nutritional Studies and Diet (3 papers). The work is most often cited by research in Hepatology (653 citations), Epidemiology (1.5k citations), Endocrinology, Diabetes and Metabolism (497 citations), Cell Biology (467 citations) and Cancer Research (427 citations). Gregory Michelotti has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Anna Mae Diehl, Mariana Verdelho Machado, Guanhua Xie, Robert Duncan, David Levens, Thiago A. Pereira, Richard T. Premont, Cynthia D. Guy, Marzena Swiderska‐Syn and Jérôme Boursier. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, PLoS ONE, Gut, Nature Medicine and Journal of Proteome 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.