Ajay Bhat
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
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- Tryptophan and brain disorders 3
- Co-authors
- Shantanu Sengupta (8 shared papers)Thillaisthanam N. Pattabiraman (6 shared papers)Kausik Chakraborty (4 shared papers)Trayambak Basak (2 shared papers)Soumya Sinha Roy (2 shared papers)Shuvadeep Maity (2 shared papers)Dipankar Malakar (2 shared papers)Manoj M. Pillai (1 shared paper)
- Journals
- Science Advances (2 papers)BJOG An International Journal of Obstetrics & Gynaecology (2 papers)Life Science Alliance (1 paper)eLife (1 paper)Cell Reports (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Ajay Bhat
19 papers receiving 285 citations
Peers
Comparison fields: 5 of 83
- Aging 26
- Biological Psychiatry 7
- Cell Biology 46
- Endocrine and Autonomic Systems 14
- Molecular Biology 129
Countries citing papers authored by Ajay Bhat
This map shows the geographic impact of Ajay Bhat'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 Ajay Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajay Bhat more than expected).
Fields of papers citing papers by Ajay Bhat
This network shows the impact of papers produced by Ajay Bhat. 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 Ajay Bhat. The network helps show where Ajay Bhat may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajay Bhat, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 59 | |
| 2 | 2013 | 45 | |
| 3 | 2018 | 36 | |
| 4 | 2015 | 34 | |
| 5 | 2023 | 23 | |
| 6 | 2023 | 18 | |
| 7 | 2014 | 13 | |
| 8 | 1980 | 12 | |
| 9 | 1979 | 11 | |
| 10 | 1983 | 7 | |
| 11 | 2024 | 7 | |
| 12 | 1981 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 1982 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2019 | 2 | |
| 18 | 1982 | 1 | |
| 19 | EVALUATION OF SWATH-MS BASED QUANTIFICATION FOR ITS ACCURACY AND CONSISTENCY ACROSS CONCENTRATIONS OF SPIKED-IN PEPTIDES | 2016 | 1 |
| 20 | 2025 | 0 |
About Ajay Bhat
Ajay Bhat is a scholar working on Aging, Biological Psychiatry, Cell Biology, Endocrine and Autonomic Systems and Hematology, having authored 21 papers that have together received 288 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Tryptophan and brain disorders (3 papers), Circadian rhythm and melatonin (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Diet and metabolism studies (3 papers), Enzyme Production and Characterization (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Aging (26 citations), Biological Psychiatry (7 citations), Cell Biology (46 citations), Endocrine and Autonomic Systems (14 citations) and Molecular Biology (129 citations). Ajay Bhat has collaborated with scholars based in India and United States. Frequent co-authors include Shantanu Sengupta, Thillaisthanam N. Pattabiraman, Kausik Chakraborty, Trayambak Basak, Soumya Sinha Roy, Shuvadeep Maity, Dipankar Malakar, Manoj M. Pillai, Rahul Chakraborty and Ganesh N. Agam. Their work appears in journals such as Science Advances, BJOG An International Journal of Obstetrics & Gynaecology, Life Science Alliance, eLife and Cell Reports.
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.