Arvind Narayana

610 total citations
10 papers, 142 citations indexed

About

Arvind Narayana is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Anesthesiology and Pain Medicine. According to data from OpenAlex, Arvind Narayana has authored 10 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Anesthesiology and Pain Medicine. Recurrent topics in Arvind Narayana's work include Opioid Use Disorder Treatment (5 papers), Pain Management and Opioid Use (4 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers). Arvind Narayana is often cited by papers focused on Opioid Use Disorder Treatment (5 papers), Pain Management and Opioid Use (4 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers). Arvind Narayana collaborates with scholars based in United States, Australia and India. Arvind Narayana's co-authors include Steven D. Passik, Ronghua Yang, Perry G. Fine, Ronghua Yang, Carla B. Frye, Russell K. Portenoy, Qing Harshaw, Craig Q. Earl, Nathaniel P. Katz and Alicia C. Shillington and has published in prestigious journals such as Journal of the American College of Cardiology, Pain and Pain Medicine.

In The Last Decade

Arvind Narayana

10 papers receiving 137 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arvind Narayana United States 8 76 47 44 40 36 10 142
Todd Bertoch United States 6 53 0.7× 21 0.4× 14 0.3× 49 1.2× 72 2.0× 10 177
Rumiko Kan Japan 6 10 0.1× 57 1.2× 21 0.5× 17 0.4× 4 0.1× 20 138
Nathan Miller United States 9 16 0.2× 3 0.1× 13 0.3× 36 0.9× 11 0.3× 21 164
Nomen Azeem United States 6 63 0.8× 9 0.2× 7 0.2× 6 0.1× 37 1.0× 12 125
Brigitte A. Brouwer Netherlands 7 9 0.1× 6 0.1× 6 0.1× 44 1.1× 118 3.3× 14 199
Elmer Dunbar United States 4 39 0.5× 13 0.3× 3 0.1× 11 0.3× 30 0.8× 4 73
Zirong Zhao United States 5 41 0.5× 7 0.1× 14 0.3× 5 0.1× 45 1.3× 14 213
Nathan Li United States 8 9 0.1× 9 0.2× 5 0.1× 20 0.5× 24 0.7× 18 158
Sophie von Brauchitsch Germany 5 6 0.1× 58 1.2× 6 0.1× 8 0.2× 5 0.1× 5 119

Countries citing papers authored by Arvind Narayana

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Arvind Narayana

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind Narayana. A scholar is included among the top collaborators of Arvind Narayana based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arvind Narayana. Arvind Narayana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Patel, J., et al.. (2022). Three Newly Recognized Likely Pathogenic Gene Variants Associated with Hereditary Transthyretin Amyloidosis. Neurology and Therapy. 11(4). 1595–1607. 7 indexed citations
2.
Keller, Andrew, Keyur B. Shah, Diego Delgado, et al.. (2021). GENOTYPIC AND PHENOTYPIC DIFFERENCES AND SIMILARITIES AMONG PATIENTS WITH TRANSTHYRETIN AMYLOIDOSIS OR OTHER INHERITED CARDIOVASCULAR DISEASES: INSIGHTS FROM A GENETIC TESTING PROGRAM. Journal of the American College of Cardiology. 77(18). 888–888. 1 indexed citations
3.
Shah, Keyur B., Naresh Bumma, Diego Delgado, et al.. (2021). CHARACTERISTICS OF PATIENTS WITH P.V142I MUTATIONS ASSOCIATED WITH HEREDITARY TRANSTHYRETIN AMYLOIDOSIS: INSIGHTS FROM A GENETIC TESTING PROGRAM. Journal of the American College of Cardiology. 77(18). 742–742. 1 indexed citations
4.
Ke, Qing, Robert C. Griggs, Veronica Wiley, et al.. (2017). Newborn screening for Duchenne muscular dystrophy in China: follow-up diagnosis and subsequent treatment. World Journal of Pediatrics. 13(3). 197–201. 24 indexed citations
5.
Hale, M., Charles Laudadio, Ronghua Yang, Arvind Narayana, & Richard Malamut. (2015). Efficacy and tolerability of a hydrocodone extended-release tablet formulated with abuse-deterrence technology for the treatment of moderate-to-severe chronic pain in patients with osteoarthritis or low back pain. Journal of Pain Research. 8. 623–623. 10 indexed citations
6.
Narayana, Arvind, Nathaniel P. Katz, Alicia C. Shillington, et al.. (2015). National Breakthrough Pain Study. Pain. 156(2). 252–259. 31 indexed citations
7.
8.
9.
Fine, Perry G., Arvind Narayana, & Steven D. Passik. (2010). Treatment of Breakthrough Pain with Fentanyl Buccal Tablet in Opioid-Tolerant Patients with Chronic Pain: Appropriate Patient Selection and Management. Pain Medicine. 11(7). 1024–1036. 15 indexed citations
10.
Chandra, H. Sharat, et al.. (1972). Peripheral location of the human late X and homologous association of autosomes numbers one, two and three. Journal of Genetics. 61(1). 78–83. 7 indexed citations

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.

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2026