S. K. Bhattacharya
- Complementary and alternative medicine top 0.5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Pharmacology top 5%
- Physiology
- Co-authors
- Amit ChakrabartiShibnath GhosalK S SatyanArun Kumar JaiswalR K GoelK SairamM DorababuAshok Kumar
- Topics
- Neuropeptides and Animal Physiology (11 papers)Pain Mechanisms and Treatments (10 papers)Neuroscience and Neuropharmacology Research (8 papers)
- Journals
- NatureSHILAP Revista de lepidopterologíaBritish Journal of Pharmacology
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
S. K. Bhattacharya
68 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 124
- Complementary and alternative medicine 480
- Molecular Biology 265
- Cellular and Molecular Neuroscience 262
- Pharmacology 202
- Physiology 173
Countries citing papers authored by S. K. Bhattacharya
This map shows the geographic impact of S. K. Bhattacharya'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 S. K. Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. K. Bhattacharya more than expected).
Fields of papers citing papers by S. K. Bhattacharya
This network shows the impact of papers produced by S. K. Bhattacharya. 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 S. K. Bhattacharya. The network helps show where S. K. Bhattacharya may publish in the future.
Co-authorship network of co-authors of S. K. Bhattacharya
This figure shows the co-authorship network connecting the top 25 collaborators of S. K. Bhattacharya. A scholar is included among the top collaborators of S. K. Bhattacharya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. K. Bhattacharya. S. K. Bhattacharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Support For a Retinoid–Processing Complex In Apical RPE | 1 |
| 2 | 38 | |
| 3 | 175 | |
| 4 | 56 | |
| 5 | Antidepressant activity of hyperforin conjugates of the St. John's wort, Hypericum perforatum Linn.: an experimental study. | 2 |
| 6 | Stress and water balance: the roles of ANP, AVP and isatin. | 10 |
| 7 | 45 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 65 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 11 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 13 | |
| 20 | 1 |
About S. K. Bhattacharya
S. K. Bhattacharya is a scholar working on Cellular and Molecular Neuroscience, Neurology and Behavioral Neuroscience, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Pain Mechanisms and Treatments (10 papers) and Neuroscience and Neuropharmacology Research (8 papers). The work is most often cited by research in Complementary and alternative medicine (480 citations), Behavioral Neuroscience (59 citations) and Endocrinology (81 citations). S. K. Bhattacharya has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Amit Chakrabarti, Shibnath Ghosal, K S Satyan, Arun Kumar Jaiswal, R K Goel, K Sairam, M Dorababu, Ashok Kumar, Utpala Chattopadhyay and M. Sandler. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and British Journal of Pharmacology.
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.