K. Nandy
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
-
- RNA Interference and Gene Delivery 2
- Surgery 10
- Cholangiocarcinoma and Gallbladder Cancer Studies 4
- Co-authors
- G.H. Bourne (2 shared papers)Abhijeet Ashok Salunke (5 shared papers)Subodh Kumar Pathak (4 shared papers)Apurva Pandey (2 shared papers)Vikas Warikoo (2 shared papers)Mohit Sharma (1 shared paper)Abhishek Jain (1 shared paper)G. H. Bourne (8 shared papers)
- Journals
- Diabetes & Metabolic Syndrome Clinical Research & Reviews (4 papers)HPB (3 papers)Annals of Surgical Oncology (3 papers)Surgical Oncology (2 papers)Experimental Gerontology (2 papers)
- Partner nations
- United StatesIndia
In The Last Decade
K. Nandy
47 papers receiving 707 citations
Peers
Comparison fields: 5 of 97
- Aging 59
- Biological Psychiatry 52
- Neurology 130
- Developmental Neuroscience 42
- Behavioral Neuroscience 31
Countries citing papers authored by K. Nandy
This map shows the geographic impact of K. 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 K. Nandy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Nandy more than expected).
Fields of papers citing papers by K. Nandy
This network shows the impact of papers produced by K. 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 K. Nandy. The network helps show where K. Nandy may publish in the future.
Co-authors
The 25 scholars most cited alongside K. 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 155 | |
| 2 | 1966 | 82 | |
| 3 | 1987 | 76 | |
| 4 | 1968 | 60 | |
| 5 | 2020 | 42 | |
| 6 | 1972 | 38 | |
| 7 | 1971 | 36 | |
| 8 | 1978 | 31 | |
| 9 | 1975 | 26 | |
| 10 | 1968 | 22 | |
| 11 | 1972 | 22 | |
| 12 | 1977 | 17 | |
| 13 | 1978 | 17 | |
| 14 | 1975 | 16 | |
| 15 | 1978 | 11 | |
| 16 | 1964 | 10 | |
| 17 | 1963 | 8 | |
| 18 | 2017 | 7 | |
| 19 | 1972 | 7 | |
| 20 | 2020 | 6 |
About K. Nandy
K. Nandy is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Neurology and Physiology, having authored 54 papers that have together received 772 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Biochemical effects in animals (4 papers), Olfactory and Sensory Function Studies (3 papers), Tryptophan and brain disorders (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Aging (59 citations), Biological Psychiatry (52 citations), Neurology (130 citations), Developmental Neuroscience (42 citations) and Behavioral Neuroscience (31 citations). K. Nandy has collaborated with scholars based in United States and India. Frequent co-authors include G.H. Bourne, Abhijeet Ashok Salunke, Subodh Kumar Pathak, Apurva Pandey, Vikas Warikoo, Mohit Sharma, Abhishek Jain, G. H. Bourne, Fabio Idrobo and David I. Mostofsky. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, HPB, Annals of Surgical Oncology, Surgical Oncology and Experimental Gerontology.
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.