Subhojit Chakraborty
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 2%
- Molecular Biology
- Neurology top 10%
- Physiology
- Co-authors
- Mark A. UnglessDaniel I. BrierleyFrédéric BrischouxAnna S. MitchellMichael AndersonKathryn J. JefferyRobin HaymanPhilip G. F. Browning
- Topics
- Neural dynamics and brain function (8 papers)Neuroscience and Neuropharmacology Research (7 papers)Memory and Neural Mechanisms (6 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Subhojit Chakraborty
21 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Cellular and Molecular Neuroscience 821
- Cognitive Neuroscience 818
- Molecular Biology 301
- Neurology 135
- Physiology 107
Countries citing papers authored by Subhojit Chakraborty
This map shows the geographic impact of Subhojit Chakraborty'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 Subhojit Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhojit Chakraborty more than expected).
Fields of papers citing papers by Subhojit Chakraborty
This network shows the impact of papers produced by Subhojit Chakraborty. 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 Subhojit Chakraborty. The network helps show where Subhojit Chakraborty may publish in the future.
Co-authorship network of co-authors of Subhojit Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of Subhojit Chakraborty. A scholar is included among the top collaborators of Subhojit Chakraborty 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 Subhojit Chakraborty. Subhojit Chakraborty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 32 | |
| 3 | 12 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 29 | |
| 7 | 83 | |
| 8 | 14 | |
| 9 | 32 | |
| 10 | 50 | |
| 11 | 47 | |
| 12 | 204 | |
| 13 | 39 | |
| 14 | Phasic excitation of dopamine neurons in ventral VTA by noxious stimulibreakdown → | 631 |
| 15 | 27 | |
| 16 | 8 | |
| 17 | 7 | |
| 18 | 78 | |
| 19 | 65 | |
| 20 | 21 |
About Subhojit Chakraborty
Subhojit Chakraborty is a scholar working on Cognitive Neuroscience, Sensory Systems and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Memory and Neural Mechanisms (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (821 citations), Cognitive Neuroscience (818 citations) and Behavioral Neuroscience (93 citations). Subhojit Chakraborty has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Mark A. Ungless, Daniel I. Brierley, Frédéric Brischoux, Anna S. Mitchell, Michael Anderson, Kathryn J. Jeffery, Robin Hayman, Philip G. F. Browning, Mark E. Walton and Peter Thier. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.
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.