Samit Chakrabarty
Impact in
- Neurology top 2%
- Transcranial Magnetic Stimulation Studies
- Developmental Neuroscience top 5%
Papers in
-
- Muscle activation and electromyography studies 17
- Neurology 16
- Transcranial Magnetic Stimulation Studies 16
- Co-authors
- John H. Martin (17 shared papers)Kathleen M. Friel (8 shared papers)Marcel Brus‐Ramer (1 shared paper)Jason B. Carmel (1 shared paper)Iran Salimi (3 shared papers)Lynn C. Yeoman (2 shared papers)James Martín (1 shared paper)B H Long (1 shared paper)
- Journals
- Journal of Neuroscience (7 papers)Journal of Neurophysiology (4 papers)European Journal of Neuroscience (2 papers)Developmental Medicine & Child Neurology (2 papers)Sensors (2 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Samit Chakrabarty
58 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 95
- Neurology 283
- Developmental Neuroscience 88
- Psychiatry and Mental health 309
- Pathology and Forensic Medicine 320
- Cellular and Molecular Neuroscience 310
Countries citing papers authored by Samit Chakrabarty
This map shows the geographic impact of Samit Chakrabarty'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 Samit Chakrabarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samit Chakrabarty more than expected).
Fields of papers citing papers by Samit Chakrabarty
This network shows the impact of papers produced by Samit Chakrabarty. 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 Samit Chakrabarty. The network helps show where Samit Chakrabarty may publish in the future.
Co-authors
The 25 scholars most cited alongside Samit Chakrabarty, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 183 | |
| 2 | 2007 | 171 | |
| 3 | 2007 | 127 | |
| 4 | 2023 | 108 | |
| 5 | 2012 | 98 | |
| 6 | 2012 | 79 | |
| 7 | 2000 | 77 | |
| 8 | 2011 | 72 | |
| 9 | 2014 | 61 | |
| 10 | 2009 | 53 | |
| 11 | 2019 | 51 | |
| 12 | 2013 | 47 | |
| 13 | 2005 | 43 | |
| 14 | 2017 | 37 | |
| 15 | 2008 | 32 | |
| 16 | 2020 | 28 | |
| 17 | 2005 | 26 | |
| 18 | 2010 | 26 | |
| 19 | 1998 | 23 | |
| 20 | 2011 | 22 |
About Samit Chakrabarty
Samit Chakrabarty is a scholar working on Biomedical Engineering, Neurology, Pathology and Forensic Medicine, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (17 papers), Transcranial Magnetic Stimulation Studies (16 papers), Spinal Cord Injury Research (12 papers), Motor Control and Adaptation (8 papers), Cerebral Palsy and Movement Disorders (7 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Neurology (283 citations), Developmental Neuroscience (88 citations), Psychiatry and Mental health (309 citations), Pathology and Forensic Medicine (320 citations) and Cellular and Molecular Neuroscience (310 citations). Samit Chakrabarty has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include John H. Martin, Kathleen M. Friel, Marcel Brus‐Ramer, Jason B. Carmel, Iran Salimi, Lynn C. Yeoman, James Martín, B H Long, James K. V. Willson and Alan E. Levine. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology, European Journal of Neuroscience, Developmental Medicine & Child Neurology and Sensors.
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.