Arvind Narayana
Impact in
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- Pain Management and Opioid Use
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- Pediatric Pain Management Techniques
Papers in
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- Amyloidosis: Diagnosis, Treatment, Outcomes 3
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- Opioid Use Disorder Treatment 5
- Co-authors
- Steven D. Passik (2 shared papers)Ronghua Yang (2 shared papers)Perry G. Fine (1 shared paper)Alicia C. Shillington (1 shared paper)Lynn R. Webster (1 shared paper)Craig Q. Earl (1 shared paper)Qing Harshaw (1 shared paper)Nathaniel P. Katz (1 shared paper)
- Journals
- Pain Medicine (3 papers)Journal of the American College of Cardiology (2 papers)Pain (1 paper)Neurology and Therapy (1 paper)Journal of Pain Research (1 paper)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Arvind Narayana
10 papers receiving 137 citations
Peers
Comparison fields: 5 of 39
- Anesthesiology and Pain Medicine 76
- Pediatrics, Perinatology and Child Health 47
- Pharmacology 27
- Public Health, Environmental and Occupational Health 44
- Physiology 36
Countries citing papers authored by Arvind Narayana
This map shows the geographic impact of Arvind Narayana'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 Arvind Narayana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Narayana more than expected).
Fields of papers citing papers by Arvind Narayana
This network shows the impact of papers produced by Arvind Narayana. 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 Arvind Narayana. The network helps show where Arvind Narayana may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind Narayana, 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 | 2015 | 31 | |
| 2 | 2014 | 26 | |
| 3 | 2017 | 24 | |
| 4 | 2013 | 20 | |
| 5 | 2010 | 15 | |
| 6 | 2015 | 10 | |
| 7 | 2022 | 7 | |
| 8 | 1972 | 7 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 1 |
About Arvind Narayana
Arvind Narayana is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Anesthesiology and Pain Medicine, Pharmacology and Cognitive Neuroscience, having authored 10 papers that have together received 142 indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (5 papers), Pain Management and Opioid Use (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Pain Mechanisms and Treatments (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Pain Management and Placebo Effect (2 papers), Dermatological and Skeletal Disorders (1 paper) and Parathyroid Disorders and Treatments (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (76 citations), Pediatrics, Perinatology and Child Health (47 citations), Pharmacology (27 citations), Public Health, Environmental and Occupational Health (44 citations) and Physiology (36 citations). Arvind Narayana has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Steven D. Passik, Ronghua Yang, Perry G. Fine, Alicia C. Shillington, Lynn R. Webster, Craig Q. Earl, Qing Harshaw, Nathaniel P. Katz, Ronghua Yang and Carla B. Frye. Their work appears in journals such as Pain Medicine, Journal of the American College of Cardiology, Pain, Neurology and Therapy and Journal of Pain Research.
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.