Venkat Sethuraman

1.1k total citations
27 papers, 812 citations indexed

About

Venkat Sethuraman is a scholar working on Statistics and Probability, Surgery and Genetics. According to data from OpenAlex, Venkat Sethuraman has authored 27 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 6 papers in Surgery and 6 papers in Genetics. Recurrent topics in Venkat Sethuraman's work include Statistical Methods in Clinical Trials (9 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Chronic Myeloid Leukemia Treatments (6 papers). Venkat Sethuraman is often cited by papers focused on Statistical Methods in Clinical Trials (9 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Chronic Myeloid Leukemia Treatments (6 papers). Venkat Sethuraman collaborates with scholars based in United States, Switzerland and Germany. Venkat Sethuraman's co-authors include Alexander R. Vaccaro, Alan S. Hilibrand, Todd J. Albert, Daniel M. Schwartz, Horst Schran, Ophelia Yin, Chiaki Tanaka, Lawrence Galitz, William J. Hozack and Theodore A Smith and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Blood.

In The Last Decade

Venkat Sethuraman

27 papers receiving 788 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Venkat Sethuraman United States 14 371 177 132 124 109 27 812
I Iacona Italy 17 129 0.3× 194 1.1× 171 1.3× 238 1.9× 161 1.5× 27 970
Wanyin Hou China 13 197 0.5× 57 0.3× 37 0.3× 87 0.7× 65 0.6× 21 1.1k
Michael K. Palmer United Kingdom 15 423 1.1× 40 0.2× 27 0.2× 58 0.5× 136 1.2× 20 786
Sophie Séronie-Vivien France 11 47 0.1× 178 1.0× 115 0.9× 49 0.4× 157 1.4× 23 744
Serena Valsami Greece 16 78 0.2× 195 1.1× 106 0.8× 88 0.7× 153 1.4× 59 1.1k
Patrick J. Medina United States 14 70 0.2× 113 0.6× 64 0.5× 72 0.6× 210 1.9× 22 719
Mervyn A. Sahud United States 16 90 0.2× 443 2.5× 139 1.1× 37 0.3× 34 0.3× 36 802
Yao‐Peng Hsieh Taiwan 16 115 0.3× 66 0.4× 34 0.3× 29 0.2× 88 0.8× 31 727
Maxine D. Fisher United States 18 203 0.5× 35 0.2× 33 0.3× 34 0.3× 149 1.4× 52 744
Heikki Relas Finland 13 186 0.5× 75 0.4× 49 0.4× 34 0.3× 33 0.3× 36 461

Countries citing papers authored by Venkat Sethuraman

Since Specialization
Citations

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

Fields of papers citing papers by Venkat Sethuraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Venkat Sethuraman

This figure shows the co-authorship network connecting the top 25 collaborators of Venkat Sethuraman. A scholar is included among the top collaborators of Venkat Sethuraman 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 Venkat Sethuraman. Venkat Sethuraman 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.
Viraswami-Appanna, Kalyanee, Joan Buenconsejo, Charlotte A. Baidoo, et al.. (2024). Accelerating drug development at Bristol Myers Squibb through innovation. Drug Discovery Today. 29(5). 103952–103952. 2 indexed citations
2.
Castellanos, Emily, Joseph Fiore, Stephen J. Lane, et al.. (2023). Emulating Randomized Controlled Trials with Hybrid Control Arms in Oncology: A Case Study. Clinical Pharmacology & Therapeutics. 113(4). 867–877. 6 indexed citations
3.
Getz, Kenneth, et al.. (2020). Assessing Patient Participation Burden Based on Protocol Design Characteristics. Therapeutic Innovation & Regulatory Science. 54(3). 598–604. 3 indexed citations
4.
Young, Tina C., Subasree Srinivasan, Marion Vetter, et al.. (2017). A Systematic Review and Pooled Analysis of Select Safety Parameters Among Normal Healthy Volunteers Taking Placebo in Phase 1 Clinical Trials. The Journal of Clinical Pharmacology. 57(9). 1079–1087. 6 indexed citations
5.
6.
Chow, Shein‐Chung, Na Zeng, Jiayin Zheng, et al.. (2017). On evaluation of consistency in multi-regional clinical trials. Journal of Biopharmaceutical Statistics. 28(5). 840–856. 3 indexed citations
7.
Tanaka, Chiaki, et al.. (2010). Effects of Rifampin and Ketoconazole on the Pharmacokinetics of Nilotinib in Healthy Participants. The Journal of Clinical Pharmacology. 51(1). 75–83. 57 indexed citations
8.
Sethuraman, Venkat, et al.. (2010). Statistical Consideration in Testing for Assay Sensitivity in a Thorough QT Study. Journal of Biopharmaceutical Statistics. 20(3). 641–653. 1 indexed citations
9.
Tanaka, Chiaki, Ophelia Yin, Venkat Sethuraman, et al.. (2009). Clinical Pharmacokinetics of the BCR–ABL Tyrosine Kinase Inhibitor Nilotinib. Clinical Pharmacology & Therapeutics. 87(2). 197–203. 126 indexed citations
10.
Yin, Ophelia, Neil J. Gallagher, Chiaki Tanaka, et al.. (2009). Effects of hepatic impairment on the pharmacokinetics of nilotinib: An open-label, single-dose, parallel-group study. Clinical Therapeutics. 31. 2459–2469. 29 indexed citations
11.
Sethuraman, Venkat & Damaraju Raghavarao. (2009). Balanced 2nFactorial Designs When Observations are Spatially Correlated. Journal of Biopharmaceutical Statistics. 19(2). 332–344. 5 indexed citations
12.
Wang, Yanfeng, Li Zhou, Catherine Dutreix, et al.. (2008). Effects of imatinib (Glivec) on the pharmacokinetics of metoprolol, a CYP2D6 substrate, in Chinese patients with chronic myelogenous leukaemia. British Journal of Clinical Pharmacology. 65(6). 885–892. 41 indexed citations
13.
Sethuraman, Venkat, et al.. (2008). Impact of baseline ECG collection on the planning, analysis and interpretation of ‘thorough’ QT trials. Pharmaceutical Statistics. 8(2). 113–124. 19 indexed citations
14.
Sethuraman, Venkat, et al.. (2006). Sample size calculation for the Power Model for dose proportionality studies. Pharmaceutical Statistics. 6(1). 35–41. 14 indexed citations
15.
16.
Morganroth, Joel, et al.. (2004). Evaluation of vardenafil and sildenafil on cardiac repolarization. The American Journal of Cardiology. 93(11). 1378–1383. 56 indexed citations
17.
Hilibrand, Alan S., Daniel M. Schwartz, Venkat Sethuraman, Alexander R. Vaccaro, & Todd J. Albert. (2004). Comparison of Transcranial Electric Motor and Somatosensory Evoked Potential Monitoring During Cervical Spine Surgery. Journal of Bone and Joint Surgery. 86(6). 1248–1253. 257 indexed citations
18.
Hilibrand, Alan S., Daniel Schwartz, Venkat Sethuraman, Alexander R. Vaccaro, & Todd J. Albert. (2003). 16. Comparison of transcranial electric motor and somatosensory evoked potential monitoring during cervical spine surgery. The Spine Journal. 3(5). 73–74. 28 indexed citations
19.
Sethuraman, Venkat, et al.. (2000). Routine follow-up office visits after total joint replacement. The Journal of Arthroplasty. 15(2). 183–186. 27 indexed citations
20.
Sethuraman, Venkat, William J. Hozack, Peter F. Sharkey, & Richard H. Rothman. (2000). Pseudoaneurysm of femoral artery after revision total hip arthroplasty with a constrained cup. The Journal of Arthroplasty. 15(4). 531–534. 26 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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