Puvan Tharmanathan

2.4k citations
24 papers · 445 · h-index 11

Impact in

Papers in

Puvan Tharmanathan

21 papers receiving 424 citations

Peers

Puvan Tharmanathan
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 174
  • Biological Psychiatry 19
  • Pharmacology 115
  • Rheumatology 56
  • Statistics, Probability and Uncertainty 25
Replace Raymond J. Matta with:
Raymond J. Matta United States
Arindam Pande India
Gianluca Trifirò Netherlands
Janne Suvisaari Finland
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Sai Dheeraj Gutlapalli United States
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Countries citing papers authored by Puvan Tharmanathan

Since Specialization
Citations

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

Fields of papers citing papers by Puvan Tharmanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Puvan Tharmanathan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Puvan Tharmanathan Line = papers co-authored together Puvan Tharmanathan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006147
2 200979
3 201534
4 201034
5 200829
6 200824
7 201322
8 201313
9 201213
10 201911
11 202310
12 20157
13 20135
14 20165
15
Significant Pain Reduction with Oral Methotrexate in Knee Osteoarthritis; Results from a Randomised Controlled Phase III Trial of Treatment Effectiveness
20183
16 20113
17
Report for the EcoNomics of Adaptive Clinical Trials (ENACT) project : Application of a Bayesian Value-Based Sequential Model of a Clinical Trial to the CACTUS and HERO Case Studies (with Guidance Material for Clinical Trials Units)
20212
18 20241
19 20221
20 20151

About Puvan Tharmanathan

Puvan Tharmanathan is a scholar working on Statistics and Probability, Economics and Econometrics, Statistics, Probability and Uncertainty, Rheumatology and Pharmacology, having authored 24 papers that have together received 445 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Meta-analysis and systematic reviews (6 papers), Rheumatoid Arthritis Research and Therapies (4 papers), Advanced Causal Inference Techniques (3 papers), Ethics in Clinical Research (3 papers), Heart Failure Treatment and Management (2 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (174 citations), Biological Psychiatry (19 citations), Pharmacology (115 citations), Rheumatology (56 citations) and Statistics, Probability and Uncertainty (25 citations). Puvan Tharmanathan has collaborated with scholars based in United Kingdom, Italy and France. Frequent co-authors include Nick Freemantle, Melanie Calvert, Justin Ghosh, William T. Abraham, John G.F. Cleland, Michael Bauer, Hans‐Juergen Moeller, Hans‐Peter Volz, Raoul Herbrecht and Catherine Hewitt. Their work appears in journals such as Trials, Journal of Evaluation in Clinical Practice, BMC Medical Research Methodology, Journal of Antimicrobial Chemotherapy and PharmacoEconomics.

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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