Devki D. Sukhtankar
Impact in
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- Neuropeptides and Animal Physiology
- Neurotransmitter Receptor Influence on Behavior
-
- Pain Management and Opioid Use
Papers in
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- Neuropeptides and Animal Physiology 11
- Neurotransmitter Receptor Influence on Behavior 1
- Physiology 13
- Pain Mechanisms and Treatments 13
- Co-authors
- Mei‐Chuan Ko (12 shared papers)Huiping Ding (6 shared papers)Stephen M. Husbands (3 shared papers)Norikazu Kiguchi (3 shared papers)Gerta Cami‐Kobeci (2 shared papers)Paul W. Czoty (2 shared papers)Nurulain T. Zaveri (1 shared paper)Tamara E. King (4 shared papers)
- Journals
- PLoS ONE (2 papers)The FASEB Journal (2 papers)British Journal of Pharmacology (2 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)Pain (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Devki D. Sukhtankar
18 papers receiving 511 citations
Peers
Comparison fields: 5 of 48
- Cellular and Molecular Neuroscience 272
- Anesthesiology and Pain Medicine 84
- Physiology 244
- Sensory Systems 31
- Dermatology 40
Countries citing papers authored by Devki D. Sukhtankar
This map shows the geographic impact of Devki D. Sukhtankar'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 Devki D. Sukhtankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devki D. Sukhtankar more than expected).
Fields of papers citing papers by Devki D. Sukhtankar
This network shows the impact of papers produced by Devki D. Sukhtankar. 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 Devki D. Sukhtankar. The network helps show where Devki D. Sukhtankar may publish in the future.
Co-authors
The 25 scholars most cited alongside Devki D. Sukhtankar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 89 | |
| 2 | 2013 | 56 | |
| 3 | 2013 | 48 | |
| 4 | 2015 | 47 | |
| 5 | 2019 | 46 | |
| 6 | 2015 | 33 | |
| 7 | 2013 | 32 | |
| 8 | 2011 | 31 | |
| 9 | 2014 | 31 | |
| 10 | 2015 | 28 | |
| 11 | 2015 | 26 | |
| 12 | 2017 | 24 | |
| 13 | 2023 | 12 | |
| 14 | 2017 | 11 | |
| 15 | 2023 | 6 | |
| 16 | 2013 | 5 | |
| 17 | 2013 | 1 | |
| 18 | 2015 | 1 |
About Devki D. Sukhtankar
Devki D. Sukhtankar is a scholar working on Cellular and Molecular Neuroscience, Physiology, Anesthesiology and Pain Medicine, Hematology and Oncology, having authored 18 papers that have together received 527 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (13 papers), Neuropeptides and Animal Physiology (11 papers), Pain Management and Opioid Use (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Management of metastatic bone disease (1 paper), Bone health and treatments (1 paper), Neurotransmitter Receptor Influence on Behavior (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (272 citations), Anesthesiology and Pain Medicine (84 citations), Physiology (244 citations), Sensory Systems (31 citations) and Dermatology (40 citations). Devki D. Sukhtankar has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Mei‐Chuan Ko, Huiping Ding, Stephen M. Husbands, Norikazu Kiguchi, Gerta Cami‐Kobeci, Paul W. Czoty, Nurulain T. Zaveri, Tamara E. King, Kenner C. Rice and Michael A. Nader. Their work appears in journals such as PLoS ONE, The FASEB Journal, British Journal of Pharmacology, Journal of Pharmacology and Experimental Therapeutics and Pain.
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.