Manish Chamoli
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 10%
- Aldose Reductase and Taurine
Papers in
- Aging 22
- Genetics, Aging, and Longevity in Model Organisms 22
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- Alzheimer's disease research and treatments 4
- Telomeres, Telomerase, and Senescence 2
- Co-authors
- Julie Kay Andersen (14 shared papers)Arnab Mukhopadhyay (4 shared papers)Shankar J. Chinta (7 shared papers)Gordon J. Lithgow (11 shared papers)Anupama Singh (3 shared papers)Anand Rane (6 shared papers)Pankaj Kapahi (4 shared papers)Tanuja Harshani Peiris (3 shared papers)
- Journals
- GeroScience (4 papers)Aging Cell (3 papers)Nature Communications (2 papers)eLife (2 papers)Nature Aging (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Manish Chamoli
31 papers receiving 1.1k citations
Manish Chamoli's Hit Papers
Peers
Comparison fields: 5 of 91
- Aging 378
- Cell Biology 107
- Clinical Biochemistry 28
- Physiology 136
- Neurology 63
Countries citing papers authored by Manish Chamoli
This map shows the geographic impact of Manish Chamoli'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 Manish Chamoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Chamoli more than expected).
Fields of papers citing papers by Manish Chamoli
This network shows the impact of papers produced by Manish Chamoli. 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 Manish Chamoli. The network helps show where Manish Chamoli may publish in the future.
Co-authors
The 25 scholars most cited alongside Manish Chamoli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Taurine deficiency as a driver of aging Hit paper breakdown → | 2023 | 311 |
| 2 | 2017 | 101 | |
| 3 | 2019 | 86 | |
| 4 | 2014 | 57 | |
| 5 | 2016 | 57 | |
| 6 | 2021 | 44 | |
| 7 | 2021 | 42 | |
| 8 | 2023 | 42 | |
| 9 | 2019 | 40 | |
| 10 | 2020 | 35 | |
| 11 | 2019 | 34 | |
| 12 | 2020 | 29 | |
| 13 | 2024 | 28 | |
| 14 | 2018 | 27 | |
| 15 | 2023 | 27 | |
| 16 | 2019 | 22 | |
| 17 | 2020 | 21 | |
| 18 | 2024 | 16 | |
| 19 | 2023 | 8 | |
| 20 | 2022 | 7 |
About Manish Chamoli
Manish Chamoli is a scholar working on Aging, Physiology, Neurology, Clinical Biochemistry and Neurology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (22 papers), Alzheimer's disease research and treatments (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Autophagy in Disease and Therapy (2 papers), Advanced Glycation End Products research (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Galectins and Cancer Biology (1 paper) and Pomegranate: compositions and health benefits (1 paper). The work is most often cited by research in Aging (378 citations), Cell Biology (107 citations), Clinical Biochemistry (28 citations), Physiology (136 citations) and Neurology (63 citations). Manish Chamoli has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Julie Kay Andersen, Arnab Mukhopadhyay, Shankar J. Chinta, Gordon J. Lithgow, Anupama Singh, Anand Rane, Pankaj Kapahi, Tanuja Harshani Peiris, Kausik Chakraborty and Nihar Ranjan Jana. Their work appears in journals such as GeroScience, Aging Cell, Nature Communications, eLife and Nature Aging.
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.