Vaskar Das
Impact in
- Pharmacology top 10%
- Musculoskeletal pain and rehabilitation
- Treatment of Major Depression
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- Pain Mechanisms and Treatments
Papers in
- Physiology 10
- Pain Mechanisms and Treatments 9
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- Bioactive natural compounds 2
- Co-authors
- Jeffrey S. Kroin (11 shared papers)Mario Moric (6 shared papers)Asokumar Buvanendran (7 shared papers)Shilpi Ghosh (6 shared papers)Gregory Dussor (1 shared paper)Theodore J. Price (1 shared paper)Seik Weng Ng (1 shared paper)Thomas C. W. Mak (1 shared paper)
- Journals
- Regional Anesthesia & Pain Medicine (4 papers)Anesthesia & Analgesia (3 papers)Gene (2 papers)Journal of Cellular Physiology (2 papers)Progress in molecular biology and translational science (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Vaskar Das
25 papers receiving 562 citations
Peers
Comparison fields: 5 of 100
- Pharmacology 133
- Physiology 142
- Anesthesiology and Pain Medicine 22
- Pathology and Forensic Medicine 73
- Biological Psychiatry 10
Countries citing papers authored by Vaskar Das
This map shows the geographic impact of Vaskar Das'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 Vaskar Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vaskar Das more than expected).
Fields of papers citing papers by Vaskar Das
This network shows the impact of papers produced by Vaskar Das. 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 Vaskar Das. The network helps show where Vaskar Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Vaskar Das, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 89 | |
| 2 | 1987 | 62 | |
| 3 | 2016 | 53 | |
| 4 | 2017 | 45 | |
| 5 | 2019 | 36 | |
| 6 | 2017 | 36 | |
| 7 | 2018 | 36 | |
| 8 | 2015 | 27 | |
| 9 | 2019 | 23 | |
| 10 | 2019 | 22 | |
| 11 | 2018 | 20 | |
| 12 | 2017 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2022 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2019 | 13 | |
| 17 | 2017 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2016 | 10 | |
| 20 | 2015 | 3 |
About Vaskar Das
Vaskar Das is a scholar working on Physiology, Molecular Biology, Pharmacology, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 27 papers that have together received 572 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (9 papers), Spine and Intervertebral Disc Pathology (4 papers), Musculoskeletal pain and rehabilitation (4 papers), Phytochemicals and Antioxidant Activities (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Treatment of Major Depression (2 papers), Bioactive natural compounds (2 papers) and Natural Antidiabetic Agents Studies (2 papers). The work is most often cited by research in Pharmacology (133 citations), Physiology (142 citations), Anesthesiology and Pain Medicine (22 citations), Pathology and Forensic Medicine (73 citations) and Biological Psychiatry (10 citations). Vaskar Das has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Jeffrey S. Kroin, Mario Moric, Asokumar Buvanendran, Shilpi Ghosh, Gregory Dussor, Theodore J. Price, Seik Weng Ng, Thomas C. W. Mak, Wei Chen and André J. van Wijnen. Their work appears in journals such as Regional Anesthesia & Pain Medicine, Anesthesia & Analgesia, Gene, Journal of Cellular Physiology and Progress in molecular biology and translational science.
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.