Kunal NANDY
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 6
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- Biochemical effects in animals 4
- Adipose Tissue and Metabolism 4
- Co-authors
- G.H. Bourne (2 shared papers)Abhijeet Ashok Salunke (5 shared papers)Geoffrey H. Bourne (8 shared papers)Subodh Kumar Pathak (4 shared papers)Apurva Kumari Pandey (2 shared papers)Ketul Sureshbhai Puj (2 shared papers)Vikas Warikoo (2 shared papers)Mohit R. Sharma (1 shared paper)
- Journals
- Diabetes & Metabolic Syndrome Clinical Research & Reviews (4 papers)HPB (4 papers)Annals of Surgical Oncology (3 papers)Mechanisms of Ageing and Development (2 papers)Nature (2 papers)
- Partner nations
- United StatesIndia
In The Last Decade
Kunal NANDY
52 papers receiving 813 citations
Peers
Comparison fields: 5 of 103
- Aging 82
- Biological Psychiatry 59
- Neurology 167
- Developmental Neuroscience 48
- Cellular and Molecular Neuroscience 180
Countries citing papers authored by Kunal NANDY
This map shows the geographic impact of Kunal NANDY'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 Kunal NANDY with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunal NANDY more than expected).
Fields of papers citing papers by Kunal NANDY
This network shows the impact of papers produced by Kunal NANDY. 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 Kunal NANDY. The network helps show where Kunal NANDY may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunal NANDY, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 161 | |
| 2 | 1966 | 100 | |
| 3 | 1987 | 82 | |
| 4 | 1968 | 77 | |
| 5 | 2020 | 45 | |
| 6 | 1972 | 45 | |
| 7 | 1971 | 43 | |
| 8 | 1978 | 40 | |
| 9 | 1975 | 33 | |
| 10 | 1972 | 28 | |
| 11 | 1968 | 22 | |
| 12 | 1975 | 19 | |
| 13 | 1978 | 18 | |
| 14 | 1977 | 17 | |
| 15 | 1978 | 15 | |
| 16 | 1963 | 12 | |
| 17 | 1964 | 12 | |
| 18 | 2017 | 12 | |
| 19 | 1972 | 10 | |
| 20 | 1985 | 10 |
About Kunal NANDY
Kunal NANDY is a scholar working on Neurology, Physiology, Endocrine and Autonomic Systems, Hepatology and Surgery, having authored 58 papers that have together received 929 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Biochemical effects in animals (4 papers), Adipose Tissue and Metabolism (4 papers), Gallbladder and Bile Duct Disorders (3 papers) and Olfactory and Sensory Function Studies (3 papers). The work is most often cited by research in Aging (82 citations), Biological Psychiatry (59 citations), Neurology (167 citations), Developmental Neuroscience (48 citations) and Cellular and Molecular Neuroscience (180 citations). Kunal NANDY has collaborated with scholars based in United States and India. Frequent co-authors include G.H. Bourne, Abhijeet Ashok Salunke, Geoffrey H. Bourne, Subodh Kumar Pathak, Apurva Kumari Pandey, Ketul Sureshbhai Puj, Vikas Warikoo, Mohit R. Sharma, Abhishek Ramesh Jain and David I. Mostofsky. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, HPB, Annals of Surgical Oncology, Mechanisms of Ageing and Development and Nature.
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.