Manish Chamoli
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
- Aging 15
- Genetics, Aging, and Longevity in Model Organisms 15
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- Genomics, phytochemicals, and oxidative stress 2
- Co-authors
- Julie K. Andersen (15 shared papers)Arnab Mukhopadhyay (4 shared papers)Shankar J. Chinta (8 shared papers)Gordon J. Lithgow (12 shared papers)Anupama Singh (3 shared papers)Pankaj Kapahi (4 shared papers)Anand Rane (6 shared papers)Nihar Ranjan Jana (1 shared paper)
- Journals
- Aging Cell (3 papers)GeroScience (2 papers)eLife (2 papers)Molecular Neurobiology (1 paper)Cell Metabolism (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Manish Chamoli
22 papers receiving 530 citations
Peers
Comparison fields: 5 of 81
- Aging 200
- Endocrine and Autonomic Systems 63
- Biological Psychiatry 20
- Physiology 134
- Geriatrics and Gerontology 12
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 81 | |
| 2 | 2014 | 58 | |
| 3 | 2016 | 53 | |
| 4 | 2021 | 42 | |
| 5 | 2021 | 38 | |
| 6 | 2019 | 37 | |
| 7 | 2019 | 34 | |
| 8 | 2023 | 32 | |
| 9 | 2020 | 31 | |
| 10 | 2020 | 28 | |
| 11 | 2018 | 27 | |
| 12 | 2023 | 23 | |
| 13 | 2020 | 19 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2022 | 1 |
About Manish Chamoli
Manish Chamoli is a scholar working on Aging, Molecular Biology, Endocrine and Autonomic Systems, Physiology and Epidemiology, having authored 23 papers that have together received 535 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (15 papers), Circadian rhythm and melatonin (6 papers), Autophagy in Disease and Therapy (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Dietary Effects on Health (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). The work is most often cited by research in Aging (200 citations), Endocrine and Autonomic Systems (63 citations), Biological Psychiatry (20 citations), Physiology (134 citations) and Geriatrics and Gerontology (12 citations). Manish Chamoli has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Julie K. Andersen, Arnab Mukhopadhyay, Shankar J. Chinta, Gordon J. Lithgow, Anupama Singh, Pankaj Kapahi, Anand Rane, Nihar Ranjan Jana, Kausik Chakraborty and T. Harshani Peiris. Their work appears in journals such as Aging Cell, GeroScience, eLife, Molecular Neurobiology and Cell Metabolism.
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.