Bhaskar Roy
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
Papers in
-
- RNA modifications and cancer 10
-
- MicroRNA in disease regulation 15
- Cancer-related molecular mechanisms research 9
- Co-authors
- Yogesh Dwivedi (37 shared papers)Richard C. Shelton (3 shared papers)Qingzhong Wang (5 shared papers)Michael Dunbar (2 shared papers)Yuta Yoshino (5 shared papers)Richard J. Nowak (20 shared papers)Kevin Prall (5 shared papers)Shiladitya Sengupta (6 shared papers)
- Journals
- Neurology (9 papers)Journal of the Neurological Sciences (6 papers)Neuropsychopharmacology (4 papers)Molecular Psychiatry (3 papers)Clinical and Experimental Rheumatology (3 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Bhaskar Roy
128 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 137
- Biological Psychiatry 260
- Behavioral Neuroscience 196
- Cancer Research 442
- Developmental Neuroscience 103
- Neurology 227
Countries citing papers authored by Bhaskar Roy
This map shows the geographic impact of Bhaskar Roy'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 Bhaskar Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bhaskar Roy more than expected).
Fields of papers citing papers by Bhaskar Roy
This network shows the impact of papers produced by Bhaskar Roy. 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 Bhaskar Roy. The network helps show where Bhaskar Roy may publish in the future.
Co-authors
The 25 scholars most cited alongside Bhaskar Roy, 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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 164 | |
| 2 | 2015 | 113 | |
| 3 | 2017 | 97 | |
| 4 | 2018 | 81 | |
| 5 | 2014 | 72 | |
| 6 | 2017 | 70 | |
| 7 | 2020 | 69 | |
| 8 | 2020 | 67 | |
| 9 | 2013 | 64 | |
| 10 | 2012 | 62 | |
| 11 | 2014 | 55 | |
| 12 | 2013 | 53 | |
| 13 | 2008 | 53 | |
| 14 | 2020 | 45 | |
| 15 | 2019 | 41 | |
| 16 | 2018 | 40 | |
| 17 | 2022 | 39 | |
| 18 | 2018 | 36 | |
| 19 | 2018 | 36 | |
| 20 | 2016 | 35 |
About Bhaskar Roy
Bhaskar Roy is a scholar working on Molecular Biology, Cancer Research, Neurology, Genetics and Epidemiology, having authored 141 papers that have together received 2.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Tryptophan and brain disorders (12 papers), RNA modifications and cancer (10 papers), Cancer-related molecular mechanisms research (9 papers), Inflammatory Myopathies and Dermatomyositis (9 papers), Myasthenia Gravis and Thymoma (9 papers), Stress Responses and Cortisol (8 papers) and Peripheral Neuropathies and Disorders (7 papers). The work is most often cited by research in Biological Psychiatry (260 citations), Behavioral Neuroscience (196 citations), Cancer Research (442 citations), Developmental Neuroscience (103 citations) and Neurology (227 citations). Bhaskar Roy has collaborated with scholars based in United States, India and China. Frequent co-authors include Yogesh Dwivedi, Richard C. Shelton, Qingzhong Wang, Michael Dunbar, Yuta Yoshino, Richard J. Nowak, Kevin Prall, Shiladitya Sengupta, Neil R. Smalheiser and Giovanni Lugli. Their work appears in journals such as Neurology, Journal of the Neurological Sciences, Neuropsychopharmacology, Molecular Psychiatry and Clinical and Experimental Rheumatology.
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.