Utkarsh Tripathi
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Telomeres, Telomerase, and Senescence
- Alzheimer's disease research and treatments
Papers in
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- Telomeres, Telomerase, and Senescence 5
- Alzheimer's disease research and treatments 2
-
- Mitochondrial Function and Pathology 3
- Co-authors
- Tamar Tchkonia (6 shared papers)James L. Kirkland (6 shared papers)Yi Zhu (2 shared papers)Erin O. Wissler Gerdes (2 shared papers)Bettina M. Weigand (1 shared paper)Terence Burns (1 shared paper)Tohru Minamino (1 shared paper)Eugenia Trushina (2 shared papers)
- Journals
- Mitochondrion (1 paper)American Journal of Transplantation (1 paper)Endocrine Reviews (1 paper)Aging (1 paper)Ageing Research Reviews (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Utkarsh Tripathi
14 papers receiving 357 citations
Peers
Comparison fields: 5 of 88
- Aging 42
- Physiology 157
- Biological Psychiatry 11
- Neurology 30
- Geriatrics and Gerontology 11
Countries citing papers authored by Utkarsh Tripathi
This map shows the geographic impact of Utkarsh Tripathi'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 Utkarsh Tripathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Utkarsh Tripathi more than expected).
Fields of papers citing papers by Utkarsh Tripathi
This network shows the impact of papers produced by Utkarsh Tripathi. 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 Utkarsh Tripathi. The network helps show where Utkarsh Tripathi may publish in the future.
Co-authors
The 25 scholars most cited alongside Utkarsh Tripathi, 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 | 2020 | 80 | |
| 2 | 2021 | 71 | |
| 3 | 2021 | 62 | |
| 4 | 2018 | 36 | |
| 5 | 2024 | 32 | |
| 6 | 2018 | 26 | |
| 7 | 2023 | 17 | |
| 8 | 2023 | 11 | |
| 9 | 2024 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2019 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2022 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 0 | |
| 16 | 2021 | 0 | |
| 17 | 2024 | 0 |
About Utkarsh Tripathi
Utkarsh Tripathi is a scholar working on Physiology, Molecular Biology, Epidemiology, Aging and Plant Science, having authored 17 papers that have together received 362 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (5 papers), Mitochondrial Function and Pathology (3 papers), Alzheimer's disease research and treatments (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Smart Agriculture and AI (2 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Pregnancy-related medical research (1 paper). The work is most often cited by research in Aging (42 citations), Physiology (157 citations), Biological Psychiatry (11 citations), Neurology (30 citations) and Geriatrics and Gerontology (11 citations). Utkarsh Tripathi has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Tamar Tchkonia, James L. Kirkland, Yi Zhu, Erin O. Wissler Gerdes, Bettina M. Weigand, Terence Burns, Tohru Minamino, Eugenia Trushina, Masayoshi Suda and Sergey Trushin. Their work appears in journals such as Mitochondrion, American Journal of Transplantation, Endocrine Reviews, Aging and Ageing Research Reviews.
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.