Puvan Tharmanathan

2.4k total citations
24 papers, 445 citations indexed

About

Puvan Tharmanathan is a scholar working on Statistics and Probability, Economics and Econometrics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Puvan Tharmanathan has authored 24 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 7 papers in Economics and Econometrics and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Puvan Tharmanathan's work include Statistical Methods in Clinical Trials (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Meta-analysis and systematic reviews (6 papers). Puvan Tharmanathan is often cited by papers focused on Statistical Methods in Clinical Trials (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Meta-analysis and systematic reviews (6 papers). Puvan Tharmanathan collaborates with scholars based in United Kingdom, Italy and France. Puvan Tharmanathan's co-authors include Nick Freemantle, Melanie Calvert, Justin Ghosh, William T. Abraham, John G.F. Cleland, Michael Bauer, Hans‐Peter Volz, Hans‐Juergen Moeller, Raoul Herbrecht and Catherine Hewitt and has published in prestigious journals such as Journal of Antimicrobial Chemotherapy, Osteoarthritis and Cartilage and BMC Medical Research Methodology.

In The Last Decade

Puvan Tharmanathan

21 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Puvan Tharmanathan United Kingdom	11	174	115	56	48	42	24	445
Arindam Pande India	11	114 0.7×	46 0.4×	49 0.9×	37 0.8×	82 2.0×	62	406
Maurício Pimentel Brazil	11	185 1.1×	51 0.4×	31 0.6×	10 0.2×	36 0.9×	37	390
Grzegorz Dzida Poland	15	122 0.7×	32 0.3×	11 0.2×	102 2.1×	74 1.8×	63	642
G. Veyrac France	11	18 0.1×	198 1.7×	82 1.5×	56 1.2×	32 0.8×	41	531
Rogério Santos‐Jesus Brazil	11	16 0.1×	66 0.6×	18 0.3×	103 2.1×	46 1.1×	18	319
Benjamin G. Feakins United Kingdom	9	77 0.4×	16 0.1×	8 0.1×	43 0.9×	36 0.9×	15	299
Raymond J. Matta United States	9	263 1.5×	24 0.2×	7 0.1×	31 0.6×	123 2.9×	13	559
Michael B. Miller United States	12	105 0.6×	23 0.2×	8 0.1×	43 0.9×	90 2.1×	21	560
Sharon Remmelzwaal Netherlands	13	119 0.7×	17 0.1×	12 0.2×	37 0.8×	40 1.0×	37	459
Gianluca Trifirò Netherlands	7	68 0.4×	16 0.1×	9 0.2×	46 1.0×	28 0.7×	8	532

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-authorship network of co-authors of Puvan Tharmanathan

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

All Works

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20 of 20 papers shown

Flight, Laura, Alan Brennan, Stephen E. Chick, et al.. (2025). Value-adaptive clinical trial designs for efficient delivery of publicly funded trials - a discussion of methods, case studies, opportunities and challenges. BMC Medical Research Methodology. 25(1). 153–153.

Wu, Qi, Catherine Arundel, Puvan Tharmanathan, et al.. (2025). The Cost-Effectiveness of Collagenase Injection Versus Limited Fasciectomy for Moderate Dupuytren’s Contracture: An Economic Evaluation of the Dupuytren’s Interventions Surgery Versus Collagenase Trial and a Decision Analytical Model. Value in Health. 29(1). 54–63.

Förster, Martin, et al.. (2024). The performance of a Bayesian value-based sequential clinical trial design in the presence of an equivocal cost-effectiveness signal: evidence from the HERO trial. BMC Medical Research Methodology. 24(1). 155–155. 1 indexed citations

Rangan, Amar, Stephen Gwilym, Ada Keding, et al.. (2023). Reverse shoulder arthroplasty versus hemiarthroplasty versus non-surgical treatment for older adults with acute 3- or 4-part fractures of the proximal humerus: study protocol for a randomised controlled trial (PROFHER-2: PROximal Fracture of Humerus Evaluation by Randomisation – Trial Number 2). Trials. 24(1). 270–270. 10 indexed citations

Tharmanathan, Puvan, et al.. (2022). Can learnings from the COVID-19 pandemic improve trial conduct post-pandemic? A case study of strategies used by the DISC trial. PubMed. 4(2). 50–60. 1 indexed citations

Förster, Martin, Laura Flight, Belén Corbacho, et al.. (2021). 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). White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 2 indexed citations

Kingsbury, Sarah R., Puvan Tharmanathan, Ada Keding, et al.. (2019). Significant pain reduction with oral methotrexate in knee osteoarthritis; results from the promote randomised controlled phase iii trial of treatment effectiveness. Osteoarthritis and Cartilage. 27. S84–S85. 11 indexed citations

Tharmanathan, Puvan, Ada Keding, Belén Corbacho, et al.. (2018). Significant Pain Reduction with Oral Methotrexate in Knee Osteoarthritis; Results from a Randomised Controlled Phase III Trial of Treatment Effectiveness. Oxford University Research Archive (ORA) (University of Oxford). 70. 3 indexed citations

Jefferson, Laura, Caroline Fairhurst, Emily A. Cooper, et al.. (2016). No difference found in time to publication by statistical significance of trial results: a methodological review. JRSM Open. 7(10). 443874371–443874371. 5 indexed citations

10.

Kingsbury, Sarah R., Puvan Tharmanathan, Nigel Arden, et al.. (2015). Pain reduction with oral methotrexate in knee osteoarthritis, a pragmatic phase iii trial of treatment effectiveness (PROMOTE): study protocol for a randomized controlled trial. Trials. 16(1). 77–77. 34 indexed citations

11.

Tharmanathan, Puvan, et al.. (2015). Use and reporting of restricted randomization: a review. Journal of Evaluation in Clinical Practice. 21(6). 1205–1211. 7 indexed citations

12.

Kingsbury, Sarah R., Puvan Tharmanathan, Joy Adamson, et al.. (2013). Hydroxychloroquine effectiveness in reducing symptoms of hand osteoarthritis (HERO): study protocol for a randomized controlled trial. Trials. 14(1). 64–64. 22 indexed citations

13.

Clark, Laura, Ulrike Schmidt, Puvan Tharmanathan, et al.. (2013). Allocation concealment: a methodological review. Journal of Evaluation in Clinical Practice. 19(4). 708–712. 5 indexed citations

14.

Clark, Laura, Ulrike Schmidt, Puvan Tharmanathan, et al.. (2013). Poor reporting quality of key Randomization and Allocation Concealment details is still prevalent among published RCTs in 2011: a review. Journal of Evaluation in Clinical Practice. 19(4). 703–707. 13 indexed citations

15.

Tharmanathan, Puvan, Joy Adamson, Rebecca L Ashby, & Sam Eldabe. (2012). Diagnosis and treatment of failed back surgery syndrome in the UK: mapping of practice using a cross-sectional survey. British Journal of Pain. 6(4). 142–152. 13 indexed citations

16.

Freemantle, Nick, Puvan Tharmanathan, & Raoul Herbrecht. (2010). Systematic review and mixed treatment comparison of randomized evidence for empirical, pre-emptive and directed treatment strategies for invasive mould disease. Journal of Antimicrobial Chemotherapy. 66(Supplement 1). i25–i35. 34 indexed citations

17.

Bauer, Michael, Puvan Tharmanathan, Hans‐Peter Volz, Hans‐Juergen Moeller, & Nick Freemantle. (2009). The effect of venlafaxine compared with other antidepressants and placebo in the treatment of major depression. European Archives of Psychiatry and Clinical Neuroscience. 259(3). 172–185. 79 indexed citations

18.

Yao, Guiqing, Nick Freemantle, Marcus Flather, et al.. (2008). Long-Term Cost-Effectiveness Analysis of Nebivolol Compared with Standard Care in Elderly Patients with Heart Failure. PharmacoEconomics. 26(10). 879–889. 29 indexed citations

19.

Tharmanathan, Puvan, Melanie Calvert, John Hampton, & Nick Freemantle. (2008). The use of interim data and Data Monitoring Committee recommendations in randomized controlled trial reports: frequency, implications and potential sources of bias. BMC Medical Research Methodology. 8(1). 12–12. 24 indexed citations

20.

Freemantle, Nick, Puvan Tharmanathan, Melanie Calvert, et al.. (2006). Cardiac Resynchronisation for Patients with Heart Failure Due to Left Ventricular Systolic Dysfunction — A Systematic Review and Meta-Analysis. European Journal of Heart Failure. 8(4). 433–440. 147 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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