Jamie E. Mells
Impact in
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- Diet, Metabolism, and Disease
- Diabetes Treatment and Management
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 7
- Adipokines, Inflammation, and Metabolic Diseases 3
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- Diet, Metabolism, and Disease 2
- Diabetes Treatment and Management 2
- Co-authors
- Frank A. Anania (9 shared papers)Neeraj K. Saxena (7 shared papers)Jeffrey A. Handy (5 shared papers)Ping Fu (4 shared papers)Shvetank Sharma (4 shared papers)Nitika Gupta (2 shared papers)Arash Grakoui (1 shared paper)Richard M. Dunham (1 shared paper)
- Journals
- The FASEB Journal (2 papers)Hepatology (2 papers)Seminars in Liver Disease (1 paper)PLoS ONE (1 paper)Biochemical Journal (1 paper)
- Partner nations
- United States
In The Last Decade
Jamie E. Mells
11 papers receiving 1.5k citations
Jamie E. Mells's Hit Papers
Peers
Comparison fields: 5 of 74
- Endocrinology, Diabetes and Metabolism 551
- Epidemiology 868
- Hepatology 171
- Endocrine and Autonomic Systems 73
- Surgery 361
Countries citing papers authored by Jamie E. Mells
This map shows the geographic impact of Jamie E. Mells'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 Jamie E. Mells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie E. Mells more than expected).
Fields of papers citing papers by Jamie E. Mells
This network shows the impact of papers produced by Jamie E. Mells. 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 Jamie E. Mells. The network helps show where Jamie E. Mells may publish in the future.
Co-authors
The 25 scholars most cited alongside Jamie E. Mells, 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 | Glucagon-Like Peptide-1 Receptor Is Present on Human Hepatocytes and Has A Direct Role in Decreasing Hepatic Steatosis in Vitro by Modulating Elements of the Insulin Signaling Pathway Hit paper breakdown → | 2010 | 431 |
| 2 | 2011 | 228 | |
| 3 | 2016 | 190 | |
| 4 | 2011 | 172 | |
| 5 | 2010 | 156 | |
| 6 | 2010 | 84 | |
| 7 | 2011 | 78 | |
| 8 | 2014 | 68 | |
| 9 | 2013 | 59 | |
| 10 | 2014 | 35 | |
| 11 | 2007 | 1 |
About Jamie E. Mells
Jamie E. Mells is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Hepatology, Endocrine and Autonomic Systems and Physiology, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Liver physiology and pathology (2 papers), Diet, Metabolism, and Disease (2 papers), Diabetes Treatment and Management (2 papers), Regulation of Appetite and Obesity (2 papers), Diet and metabolism studies (1 paper) and Liver Diseases and Immunity (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (551 citations), Epidemiology (868 citations), Hepatology (171 citations), Endocrine and Autonomic Systems (73 citations) and Surgery (361 citations). Jamie E. Mells has collaborated with scholars based in United States. Frequent co-authors include Frank A. Anania, Neeraj K. Saxena, Jeffrey A. Handy, Ping Fu, Shvetank Sharma, Nitika Gupta, Arash Grakoui, Richard M. Dunham, Pradeep Kumar and Saul J. Karpen. Their work appears in journals such as The FASEB Journal, Hepatology, Seminars in Liver Disease, PLoS ONE and Biochemical Journal.
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.