Prasun Subedi

603 total citations
22 papers, 434 citations indexed

About

Prasun Subedi is a scholar working on Economics and Econometrics, General Health Professions and Psychiatry and Mental health. According to data from OpenAlex, Prasun Subedi has authored 22 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Economics and Econometrics, 7 papers in General Health Professions and 4 papers in Psychiatry and Mental health. Recurrent topics in Prasun Subedi's work include Health Systems, Economic Evaluations, Quality of Life (12 papers), Pharmaceutical Economics and Policy (6 papers) and Migraine and Headache Studies (4 papers). Prasun Subedi is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (12 papers), Pharmaceutical Economics and Policy (6 papers) and Migraine and Headache Studies (4 papers). Prasun Subedi collaborates with scholars based in United States, Switzerland and Netherlands. Prasun Subedi's co-authors include C. Daniel Mullins, Richard J. Willke, Pengxiang Li, Jalpa A. Doshi, Eleanor M. Perfetto, Katrina Armstrong, Yu‐Ning Wong, Naomi B. Haas, James D. Chambers and Sachin Kamal‐Bahl and has published in prestigious journals such as BMC Medical Research Methodology, Cephalalgia and Clinical Therapeutics.

In The Last Decade

Prasun Subedi

20 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prasun Subedi United States 10 142 97 80 60 56 22 434
Jacqueline Corrigan‐Curay United States 9 148 1.0× 44 0.5× 119 1.5× 135 2.3× 32 0.6× 13 616
Syed Mohiuddin United Kingdom 14 108 0.8× 97 1.0× 49 0.6× 27 0.5× 62 1.1× 52 643
Frédéric Balusson France 14 56 0.4× 151 1.6× 58 0.7× 43 0.7× 28 0.5× 38 469
Hongjuan Yu China 18 101 0.7× 88 0.9× 74 0.9× 159 2.6× 85 1.5× 36 615
Huah Shin Ng Australia 14 49 0.3× 65 0.7× 162 2.0× 71 1.2× 20 0.4× 36 548
Shiraz R. Gupta United States 15 237 1.7× 34 0.4× 61 0.8× 65 1.1× 52 0.9× 20 1.2k
Alar Irs Estonia 8 146 1.0× 85 0.9× 89 1.1× 12 0.2× 74 1.3× 16 434
Zhezhou Huang China 14 47 0.3× 63 0.6× 194 2.4× 163 2.7× 44 0.8× 35 748
Sheng‐Mao Chang Taiwan 13 31 0.2× 97 1.0× 65 0.8× 38 0.6× 26 0.5× 34 456
Giacomo Siri Italy 14 65 0.5× 44 0.5× 41 0.5× 17 0.3× 38 0.7× 36 404

Countries citing papers authored by Prasun Subedi

Since Specialization
Citations

This map shows the geographic impact of Prasun Subedi'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 Prasun Subedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasun Subedi more than expected).

Fields of papers citing papers by Prasun Subedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prasun Subedi. 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 Prasun Subedi. The network helps show where Prasun Subedi may publish in the future.

Co-authorship network of co-authors of Prasun Subedi

This figure shows the co-authorship network connecting the top 25 collaborators of Prasun Subedi. A scholar is included among the top collaborators of Prasun Subedi 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 Prasun Subedi. Prasun Subedi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Kaufman, Howard L., Michael B. Atkins, Prasun Subedi, et al.. (2019). The promise of Immuno-oncology: implications for defining the value of cancer treatment. Journal for ImmunoTherapy of Cancer. 7(1). 129–129. 75 indexed citations
3.
Baker, Christine L., et al.. (2018). A cost–benefit analysis of smoking cessation prescription coverage from a US payer perspective. ClinicoEconomics and Outcomes Research. Volume 10. 359–370. 16 indexed citations
4.
Chambers, James D., et al.. (2017). A Review of Empirical Analyses of Disinvestment Initiatives. Value in Health. 20(7). 909–918. 30 indexed citations
5.
Brown, Joshua D., Margaret K. Pasquale, Lavanya Sudharshan, et al.. (2017). Payer and Pharmaceutical Manufacturer Considerations for Outcomes-Based Agreements in the United States. Value in Health. 21(1). 33–40. 8 indexed citations
6.
Basu, Anirban, Prasun Subedi, & Sachin Kamal‐Bahl. (2016). Financing a Cure for Diabetes in a Multipayer Environment. Value in Health. 19(6). 861–868. 9 indexed citations
7.
Chambers, James D., et al.. (2016). Estimating Population Health Benefits Associated with Specialty and Traditional Drugs in the Year Following Product Approval. Applied Health Economics and Health Policy. 15(2). 227–235. 2 indexed citations
8.
Kamal‐Bahl, Sachin, et al.. (2015). Financing a Cure for Diabetes In a multi-Payer environment. Value in Health. 18(3). A69–A70. 1 indexed citations
9.
Li, Pengxiang, Yu‐Ning Wong, Katrina Armstrong, et al.. (2015). Survival among patients with advanced renal cell carcinoma in the pretargeted versus targeted therapy eras. Cancer Medicine. 5(2). 169–181. 81 indexed citations
10.
Subedi, Prasun & Sachin Kamal‐Bahl. (2015). Economic Considerations In Clinical Guidelines - Are Patient Perspectives Considered?. Value in Health. 18(7). A565–A566. 1 indexed citations
11.
Berger, Marc L., et al.. (2014). Optimizing the Leveraging of Real-World Data to Improve the Development and Use of Medicines. Value in Health. 18(1). 127–130. 41 indexed citations
12.
Gagne, Joshua J., Katsiaryna Bykov, Richard J. Willke, et al.. (2013). Treatment Dynamics of Newly Marketed Drugs and Implications for Comparative Effectiveness Research. Value in Health. 16(6). 1054–1062. 27 indexed citations
13.
Willke, Richard J., et al.. (2012). From concepts, theory, and evidence of heterogeneity of treatment effects to methodological approaches: a primer. BMC Medical Research Methodology. 12(1). 185–185. 45 indexed citations
14.
Subedi, Prasun, Eleanor M. Perfetto, & Ali Riaz. (2011). Something Old, Something New, Something Borrowed"¦Comparative Effectiveness Research: A Policy Perspective. Journal of Managed Care Pharmacy. 17(9 Supp A). S05–S09. 6 indexed citations
15.
Alemayehu, Demissie, Ali Riaz, Jose Ma. J. Alvir, et al.. (2011). Examination of Data, Analytical Issues and Proposed Methods for Conducting Comparative Effectiveness Research Using "Real-World Data". Journal of Managed Care Pharmacy. 17(9 Supp A). 1–37. 9 indexed citations
16.
Mullins, C. Daniel, Prasun Subedi, Paul J. Healey, & Robert J. Sanchez. (2007). Economic Analysis of Triptan Therapy for Acute Migraine: A Medicaid Perspective. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 27(8). 1092–1101. 6 indexed citations
17.
Perfetto, Eleanor M., et al.. (2005). An Economic Evaluation of Triptan Products for Migraine. Value in Health. 8(6). 647–655. 15 indexed citations
18.
Keating, Karen, Eleanor M. Perfetto, & Prasun Subedi. (2005). Economic burden of uncomplicated urinary tract infections: direct, indirect and intangible costs. Expert Review of Pharmacoeconomics & Outcomes Research. 5(4). 457–466. 14 indexed citations
19.
Palmer, Cynthia S., et al.. (2002). Cost Effectiveness of Treatment of Parkinson??s Disease with Entacapone in the United States. PharmacoEconomics. 20(9). 617–628. 35 indexed citations
20.
Perfetto, Eleanor M., et al.. (2001). Selection of clinical, patient-reported, and economic end points in acute exacerbation of chronic bronchitis. Clinical Therapeutics. 23(10). 1747–1772. 5 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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