Shailesh P. Banerjee
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Physiology top 5%
- Psychiatry and Mental health top 5%
- Pharmacology top 5%
- Co-authors
- Solomon H. SnyderVirendra K. SharmaSubir K. ChandaHenry I. YamamuraDavid A. GreenbergStephen J. RiggiSami I. HarikJ.M. Khanna
- Topics
- Neuroscience and Neuropharmacology Research (16 papers)Receptor Mechanisms and Signaling (13 papers)Ion channel regulation and function (12 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Shailesh P. Banerjee
50 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Cellular and Molecular Neuroscience 1.4k
- Molecular Biology 1.2k
- Physiology 390
- Psychiatry and Mental health 307
- Pharmacology 266
Countries citing papers authored by Shailesh P. Banerjee
This map shows the geographic impact of Shailesh P. Banerjee'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 Shailesh P. Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shailesh P. Banerjee more than expected).
Fields of papers citing papers by Shailesh P. Banerjee
This network shows the impact of papers produced by Shailesh P. Banerjee. 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 Shailesh P. Banerjee. The network helps show where Shailesh P. Banerjee may publish in the future.
Co-authorship network of co-authors of Shailesh P. Banerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Shailesh P. Banerjee. A scholar is included among the top collaborators of Shailesh P. Banerjee 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 Shailesh P. Banerjee. Shailesh P. Banerjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 40 | |
| 3 | 6 | |
| 4 | 33 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 14 | |
| 10 | 72 | |
| 11 | 23 | |
| 12 | 83 | |
| 13 | 60 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | 14 | |
| 17 | 34 | |
| 18 | 7 | |
| 19 | Development of β-adrenergic receptor subsensitivity by antidepressantsbreakdown → | 583 |
| 20 | 2 |
About Shailesh P. Banerjee
Shailesh P. Banerjee is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 50 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Receptor Mechanisms and Signaling (13 papers) and Ion channel regulation and function (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Biological Psychiatry (110 citations) and Behavioral Neuroscience (151 citations). Shailesh P. Banerjee has collaborated with scholars based in United States and Canada. Frequent co-authors include Solomon H. Snyder, Virendra K. Sharma, Subir K. Chanda, Henry I. Yamamura, David A. Greenberg, Stephen J. Riggi, Sami I. Harik, J.M. Khanna, Pedro Cuatrecasas and Lloyd A. Greene. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.