Vivek Pradhan

754 total citations
26 papers, 491 citations indexed

About

Vivek Pradhan is a scholar working on Statistics and Probability, Oncology and Epidemiology. According to data from OpenAlex, Vivek Pradhan has authored 26 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 6 papers in Oncology and 4 papers in Epidemiology. Recurrent topics in Vivek Pradhan's work include Statistical Methods and Bayesian Inference (11 papers), Advanced Statistical Methods and Models (7 papers) and Statistical Methods in Clinical Trials (7 papers). Vivek Pradhan is often cited by papers focused on Statistical Methods and Bayesian Inference (11 papers), Advanced Statistical Methods and Models (7 papers) and Statistical Methods in Clinical Trials (7 papers). Vivek Pradhan collaborates with scholars based in United States, India and Austria. Vivek Pradhan's co-authors include Tapabrata Maiti, Elena Peeva, Sanela Tarabar, Michael S. Vincent, Pralay Senchaudhuri, Stian Lydersen, Kenneth J. Gorelick, Petter Laake, Fabio Cataldi and Ravi Shankar Prasad Singh and has published in prestigious journals such as The Lancet, Gastroenterology and Biometrics.

In The Last Decade

Vivek Pradhan

24 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vivek Pradhan United States 12 173 150 77 74 72 26 491
Rachel Lorier United States 10 247 1.4× 124 0.8× 31 0.4× 33 0.4× 32 0.4× 13 698
Paul Stryszak United States 15 343 2.0× 19 0.1× 45 0.6× 177 2.4× 21 0.3× 20 1.3k
K.J. Mason United Kingdom 15 490 2.8× 46 0.3× 8 0.1× 66 0.9× 294 4.1× 39 781
Girish Aras United States 9 730 4.2× 29 0.2× 53 0.7× 26 0.4× 360 5.0× 21 931
Irene Stefanaki Greece 15 127 0.7× 44 0.3× 8 0.1× 153 2.1× 285 4.0× 35 657
Yaowei Zhu United States 14 843 4.9× 103 0.7× 14 0.2× 51 0.7× 380 5.3× 19 1.1k
Tianshuang Wu United States 9 395 2.3× 30 0.2× 38 0.5× 14 0.2× 483 6.7× 21 735
Gautier Paux France 9 26 0.2× 74 0.5× 64 0.8× 10 0.1× 38 0.5× 26 394

Countries citing papers authored by Vivek Pradhan

Since Specialization
Citations

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

Fields of papers citing papers by Vivek Pradhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivek Pradhan

This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Pradhan. A scholar is included among the top collaborators of Vivek Pradhan 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 Vivek Pradhan. Vivek Pradhan 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
1.
Choung, Rok Seon, Jyoti Ramakrishna, Vivek Pradhan, et al.. (2025). Ritlecitinib, a JAK3 /TEC inhibitor, modulates the markers of celiac autoimmunity in alopecia areata and vitiligo patients. Archives of Dermatological Research. 317(1). 280–280. 3 indexed citations
2.
Reinisch, Walter, et al.. (2023). Alternative Endoscopy Reading Paradigms Determine Score Reliability and Effect Size in Ulcerative Colitis. Journal of Crohn s and Colitis. 18(1). 82–90.
3.
Landis, Megan N., Stacy Smith, Gabriel Berstein, et al.. (2023). Efficacy and safety of topical brepocitinib cream for mild-to-moderate chronic plaque psoriasis: a phase IIb randomized double-blind vehicle-controlled parallel-group study. British Journal of Dermatology. 189(1). 33–41. 18 indexed citations
4.
Singh, Ravi Shankar Prasad, Vivek Pradhan, Sanela Tarabar, et al.. (2022). Oral tyrosine kinase 2 inhibitor PF-06826647 demonstrates efficacy and an acceptable safety profile in participants with moderate-to-severe plaque psoriasis in a phase 2b, randomized, double-blind, placebo-controlled study. Journal of the American Academy of Dermatology. 87(2). 333–342. 40 indexed citations
5.
Landis, Megan N., Stacy Smith, Zoé Kececioglu Draelos, et al.. (2022). Efficacy and safety of topical brepocitinib for the treatment of mild-to-moderate atopic dermatitis: a phase IIb, randomized, double-blind, vehicle-controlled, dose-ranging and parallel-group study. British Journal of Dermatology. 187(6). 878–887. 43 indexed citations
6.
7.
8.
Vermeire, Séverine, William J. Sandborn, Silvio Danese, et al.. (2017). Anti-MAdCAM antibody (PF-00547659) for ulcerative colitis (TURANDOT): a phase 2, randomised, double-blind, placebo-controlled trial. The Lancet. 390(10090). 135–144. 146 indexed citations
9.
Maity, Arnab, Vivek Pradhan, & Ujjwal Das. (2017). Bias Reduction in Logistic Regression with Missing Responses When the Missing Data Mechanism is Nonignorable. The American Statistician. 73(4). 340–349. 10 indexed citations
10.
Stüve, Olaf, Fabio Cataldi, Vivek Pradhan, & Kenneth J. Gorelick. (2017). Normal intrathecal leukocyte cell number and composition do not decrease the incidence of post–lumbar puncture headache. Journal of Neuroimmunology. 310. 69–71. 1 indexed citations
11.
12.
Pradhan, Vivek, Sandeep Menon, & Ujjwal Das. (2013). Corrected profile likelihood confidence interval for binomial paired incomplete data. Pharmaceutical Statistics. 12(1). 48–58. 1 indexed citations
13.
Pradhan, Vivek, et al.. (2013). Binomial confidence intervals for testing non-inferiority or superiority: a practitioner’s dilemma. Statistical Methods in Medical Research. 25(4). 1707–1717. 7 indexed citations
14.
Pradhan, Vivek. (2012). Response from the author. Statistical Methods in Medical Research. 21(6). 665–667.
15.
Das, Ujjwal, Tapabrata Maiti, & Vivek Pradhan. (2010). Bias correction in logistic regression with missing categorical covariates. Journal of Statistical Planning and Inference. 140(9). 2478–2485. 9 indexed citations
16.
Maiti, Tapabrata & Vivek Pradhan. (2009). Bias Reduction and a Solution for Separation of Logistic Regression with Missing Covariates. Biometrics. 65(4). 1262–1269. 13 indexed citations
17.
Pradhan, Vivek & Tathagata Banerjee. (2008). Confidence Interval of the Difference of Two Independent Binomial Proportions Using Weighted Profile Likelihood. Communications in Statistics - Simulation and Computation. 37(4). 645–659. 7 indexed citations
18.
Lydersen, Stian, Vivek Pradhan, Pralay Senchaudhuri, & Petter Laake. (2007). Choice of test for association in small sample unordered r × c tables. Statistics in Medicine. 26(23). 4328–4343. 31 indexed citations
19.
Santner, Thomas J., Vivek Pradhan, Pralay Senchaudhuri, Cyrus R. Mehta, & Ajit C. Tamhane. (2006). Small-sample comparisons of confidence intervals for the difference of two independent binomial proportions. Computational Statistics & Data Analysis. 51(12). 5791–5799. 22 indexed citations
20.
Lydersen, Stian, Vivek Pradhan, Pralay Senchaudhuri, & Petter Laake. (2005). Comparison of exact tests for association in unordered contingency tables using standard, mid- p , and randomized test versions. Journal of Statistical Computation and Simulation. 75(6). 447–458. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Rachel Lorier Breakdown of academic impact, for papers by Paul Stryszak Breakdown of academic impact, for papers by K.J. Mason Breakdown of academic impact, for papers by Girish Aras Breakdown of academic impact, for papers by Irene Stefanaki Breakdown of academic impact, for papers by Yaowei Zhu Breakdown of academic impact, for papers by Tianshuang Wu Breakdown of academic impact, for papers by Gautier Paux
Rankless by CCL
2026