Hemal H. Mehta
- Rheumatology top 0.5%
- GDF15 and Related Biomarkers 19
- Aging top 5%
- Physiology top 2%
- Nutrition and Health in Aging 14
- Immunology top 5%
- Molecular Biology top 10%
- Mitochondrial Function and Pathology 3
- Metabolism, Diabetes, and Cancer 3
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- Growth Hormone and Insulin-like Growth Factors 5
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- Lipid metabolism and disorders 3
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- Cancer, Hypoxia, and Metabolism 3
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- Apelin-related biomedical research 3
- Co-authors
- Pinchas CohenJunxiang WanKelvin YenSu‐Jeong KimChanghan LeeMariana J. KaplanW. Joseph McCuneLaura J. Cobb
- Cited by
- RheumatologyAgingPhysiology
- Journals
- Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (1 paper)Blood (1 paper)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Hemal H. Mehta
36 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Rheumatology 1.0k
- Aging 76
- Physiology 809
- Immunology 550
- Molecular Biology 1.3k
Countries citing papers authored by Hemal H. Mehta
This map shows the geographic impact of Hemal H. Mehta'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 Hemal H. Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hemal H. Mehta more than expected).
Fields of papers citing papers by Hemal H. Mehta
This network shows the impact of papers produced by Hemal H. Mehta. 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 Hemal H. Mehta. The network helps show where Hemal H. Mehta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hemal H. Mehta, 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 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 45 | |
| 6 | 2021 | 26 | |
| 7 | 2021 | 63 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 56 | |
| 10 | 2019 | 80 | |
| 11 | 2019 | 34 | |
| 12 | 2018 | 72 | |
| 13 | 2018 | 108 | |
| 14 | 2016 | 208 | |
| 15 | The Mitochondrial-Derived Peptide MOTS-c Promotes Metabolic Homeostasis and Reduces Obesity and Insulin Resistancebreakdown → | 2015 | 511 |
| 16 | 2012 | 151 | |
| 17 | 2011 | 78 | |
| 18 | 2007 | 226 | |
| 19 | 2006 | 118 | |
| 20 | 2004 | 13 |
About Hemal H. Mehta
Hemal H. Mehta is a scholar working on Rheumatology, Physiology and Aging, having authored 40 papers that have together received 2.4k indexed citations. Recurring topics across this work include GDF15 and Related Biomarkers (19 papers), Nutrition and Health in Aging (14 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Mitochondrial Function and Pathology (3 papers), Lipid metabolism and disorders (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Apelin-related biomedical research (3 papers). The work is most often cited by research in Rheumatology (1.0k citations), Aging (76 citations) and Physiology (809 citations). Hemal H. Mehta has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Pinchas Cohen, Junxiang Wan, Kelvin Yen, Su‐Jeong Kim, Changhan Lee, Mariana J. Kaplan, W. Joseph McCune, Laura J. Cobb, Rafael de Cabo and Tamer Sallam. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.