Amitava Chakrabarti
- Physiology top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Neurology top 10%
- Pharmacology top 10%
- Co-authors
- Debasish HotaLekha SahaPinaki DuttaAnil BhansaliAlka BhatiaDibyajyoti BanerjeeDipika BansalBikash Medhi
- Topics
- Neuroscience and Neuropharmacology Research (21 papers)Epilepsy research and treatment (11 papers)Drug Transport and Resistance Mechanisms (8 papers)
- Cited by
- PhysiologyPharmacologyNeurology
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismDiabetes Care
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Amitava Chakrabarti
77 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 114
- Physiology 347
- Molecular Biology 260
- Cellular and Molecular Neuroscience 199
- Neurology 172
- Pharmacology 171
Countries citing papers authored by Amitava Chakrabarti
This map shows the geographic impact of Amitava Chakrabarti'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 Amitava Chakrabarti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amitava Chakrabarti more than expected).
Fields of papers citing papers by Amitava Chakrabarti
This network shows the impact of papers produced by Amitava Chakrabarti. 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 Amitava Chakrabarti. The network helps show where Amitava Chakrabarti may publish in the future.
Co-authorship network of co-authors of Amitava Chakrabarti
This figure shows the co-authorship network connecting the top 25 collaborators of Amitava Chakrabarti. A scholar is included among the top collaborators of Amitava Chakrabarti 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 Amitava Chakrabarti. Amitava Chakrabarti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 18 | |
| 6 | 24 | |
| 7 | 56 | |
| 8 | 9 | |
| 9 | STUDY OF HAEMATOLOGICAL PROFILES OF DOGS INFECTED WITH PATHOGENIC AEROBES | 2 |
| 10 | 6 | |
| 11 | 24 | |
| 12 | 48 | |
| 13 | 2 | |
| 14 | 90 | |
| 15 | 70 | |
| 16 | 10 | |
| 17 | A note on generalized demodicosis in canines | 2 |
| 18 | 5 | |
| 19 | 5 | |
| 20 | An outbreak of inclusion body hepatitis in broiler chickens in West Bengal. | 1 |
About Amitava Chakrabarti
Amitava Chakrabarti is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Pharmacology, having authored 79 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (21 papers), Epilepsy research and treatment (11 papers) and Drug Transport and Resistance Mechanisms (8 papers). The work is most often cited by research in Physiology (347 citations), Pharmacology (108 citations) and Neurology (100 citations). Amitava Chakrabarti has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Debasish Hota, Lekha Saha, Pinaki Dutta, Anil Bhansali, Alka Bhatia, Dibyajyoti Banerjee, Dipika Bansal, Bikash Medhi, Bhattacharya Sk and Anand Srinivasan. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.