Lee‐Jen Wei

7.9k total citations · 1 hit paper
85 papers, 4.6k citations indexed

About

Lee‐Jen Wei is a scholar working on Statistics and Probability, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Lee‐Jen Wei has authored 85 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Statistics and Probability, 20 papers in Economics and Econometrics and 14 papers in Management Science and Operations Research. Recurrent topics in Lee‐Jen Wei's work include Statistical Methods in Clinical Trials (46 papers), Advanced Causal Inference Techniques (23 papers) and Statistical Methods and Inference (23 papers). Lee‐Jen Wei is often cited by papers focused on Statistical Methods in Clinical Trials (46 papers), Advanced Causal Inference Techniques (23 papers) and Statistical Methods and Inference (23 papers). Lee‐Jen Wei collaborates with scholars based in United States, Japan and Brazil. Lee‐Jen Wei's co-authors include John M. Lachin, S. D. Durham, Lü Tian, Hajime Uno, Brian Claggett, Alkes L. Price, Gregory V. Kryukov, Shaun Purcell, Shamil Sunyaev and Wayne E. Johnson and has published in prestigious journals such as Circulation, Journal of the American Statistical Association and Annals of Internal Medicine.

In The Last Decade

Lee‐Jen Wei

82 papers receiving 4.4k citations

Hit Papers

Pooled Association Tests for Rare Variants in Exon-Resequ... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lee‐Jen Wei United States 30 2.2k 767 673 602 519 85 4.6k
Nigel Stallard United Kingdom 36 2.0k 0.9× 220 0.3× 1.2k 1.7× 376 0.6× 789 1.5× 193 4.4k
Donglin Zeng United States 41 2.4k 1.1× 655 0.9× 199 0.3× 603 1.0× 501 1.0× 328 6.2k
Cyrus R. Mehta United States 38 2.1k 0.9× 334 0.4× 694 1.0× 1.5k 2.4× 509 1.0× 137 8.5k
Gerhard Hommel Germany 38 859 0.4× 366 0.5× 550 0.8× 592 1.0× 190 0.4× 115 5.4k
John Whitehead United Kingdom 33 2.7k 1.2× 165 0.2× 1.2k 1.8× 379 0.6× 906 1.7× 147 4.8k
Adrian Mander United Kingdom 31 792 0.4× 229 0.3× 376 0.6× 301 0.5× 375 0.7× 115 4.3k
Weichung Joe Shih United States 37 924 0.4× 277 0.4× 279 0.4× 1.2k 2.0× 402 0.8× 139 5.4k
John O’Quigley France 37 2.9k 1.3× 119 0.2× 1.5k 2.3× 585 1.0× 846 1.6× 133 5.3k
Sally Hunsberger United States 33 764 0.3× 228 0.3× 326 0.5× 699 1.2× 240 0.5× 98 4.4k
James E. Grizzle United States 24 1.4k 0.6× 202 0.3× 493 0.7× 275 0.5× 274 0.5× 59 4.1k

Countries citing papers authored by Lee‐Jen Wei

Since Specialization
Citations

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

Fields of papers citing papers by Lee‐Jen Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee‐Jen Wei. 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 Lee‐Jen Wei. The network helps show where Lee‐Jen Wei may publish in the future.

Co-authorship network of co-authors of Lee‐Jen Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Lee‐Jen Wei. A scholar is included among the top collaborators of Lee‐Jen Wei 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 Lee‐Jen Wei. Lee‐Jen Wei 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.
Shen, Guo‐Ping, et al.. (2025). The Clinical Trials Landscape for Alzheimer's Disease. CNS Neuroscience & Therapeutics. 31(6). e70492–e70492.
2.
Gronda, Edoardo, Maurizio Gallieni, Giuseppe Pacileo, et al.. (2024). Rationale and Design of PURE: A Randomized Controlled Trial to Evaluate Peritoneal Ultrafiltration with PolyCore in Refractory Congestive Heart Failure. Kidney & Blood Pressure Research. 49(1). 852–862. 2 indexed citations
3.
Huang, Bo, Ryan Sun, Brian Claggett, et al.. (2022). Handling Informative Premature Treatment or Study Discontinuation for Assessing Between-Group Differences in a Comparative Oncology Trial. JAMA Oncology. 8(10). 1502–1502. 1 indexed citations
4.
McDonald, Craig M., Lee‐Jen Wei, Kevin M. Flanigan, et al.. (2021). Evaluating longitudinal therapy effects via the North Star Ambulatory Assessment. Muscle & Nerve. 64(5). 614–619. 5 indexed citations
5.
Hantel, Stefan, B. Nhi Beasley, Lee‐Jen Wei, et al.. (2019). Restricted mean survival time for the analysis of cardiovascular outcome trials assessing non-inferiority: Case studies from antihyperglycemic drug development. American Heart Journal. 215. 178–186. 4 indexed citations
6.
Yong, Florence H., Lü Tian, Sheng Yu, Tianxi Cai, & Lee‐Jen Wei. (2016). Optimal stratification in outcome prediction using baseline information. Biometrika. 103(4). 817–828. 7 indexed citations
7.
Zhao, Lihui, Brian Claggett, Lü Tian, et al.. (2015). On the Restricted Mean Survival Time Curve in Survival Analysis. Biometrics. 72(1). 215–221. 170 indexed citations
8.
Price, Alkes L., Gregory V. Kryukov, Paul I.W. de Bakker, et al.. (2010). Pooled Association Tests for Rare Variants in Exon-Resequencing Studies. The American Journal of Human Genetics. 86(6). 832–838. 552 indexed citations breakdown →
9.
Price, Alkes L., Gregory V. Kryukov, Paul I. W. de Bakker, et al.. (2010). Pooled Association Tests for Rare Variants in Exon-Resequencing Studies. The American Journal of Human Genetics. 86(6). 982–982. 27 indexed citations
10.
Tian, Lü, Rui Wang, Tianxi Cai, & Lee‐Jen Wei. (2010). The Highest Confidence Density Region and Its Usage for Joint Inferences about Constrained Parameters. Biometrics. 67(2). 604–610. 17 indexed citations
11.
Tian, Lü, Rui Wang, Tianxi Cai, & Lee‐Jen Wei. (2008). The Highest Confidence Density Region and Its Usage for Inferences about the Survival Function with Censored Data. Pakistan Journal of Pharmaceutical Sciences. 26(1). 75–83. 1 indexed citations
12.
Tian, Lü, Tianxi Cai, & Lee‐Jen Wei. (2008). Identifying Subjects Who Benefit from Additional Information for Better Prediction of the Outcome Variables. Biometrics. 65(3). 894–902. 7 indexed citations
14.
Park, Yuhyun, Sean R. Downing, Dohyun Kim, et al.. (2007). Simultaneous and exact interval estimates for the contrast of two groups based on an extremely high dimensional variable: application to mass spec data. Bioinformatics. 23(12). 1451–1458. 10 indexed citations
15.
Cai, Tommaso, Lü Tian, Scott D. Solomon, & Lee‐Jen Wei. (2007). Predicting future responses based on possibly mis-specified working models. Biometrika. 95(1). 75–92. 9 indexed citations
16.
Wei, Lee‐Jen & David V. Glidden. (1997). AN OVERVIEW OF STATISTICAL METHODS FOR MULTIPLE FAILURE TIME DATA IN CLINICAL TRIALS. Statistics in Medicine. 16(8). 833–839. 108 indexed citations
17.
Wei, Lee‐Jen & John M. Lachin. (1988). Properties of the urn randomization in clinical trials. Controlled Clinical Trials. 9(4). 345–364. 227 indexed citations
18.
Lachin, John M., John P. Matts, & Lee‐Jen Wei. (1988). Randomization in clinical trials: Conclusions and recommendations. Controlled Clinical Trials. 9(4). 365–374. 195 indexed citations
19.
Wei, Lee‐Jen, R. T. Smythe, & Richard L. Smith. (1986). $K$-Treatment Comparisons with Restricted Randomization Rules in Clinical Trials. The Annals of Statistics. 14(1). 41 indexed citations
20.
Wei, Lee‐Jen. (1977). A Class of Designs for Sequential Clinical Trials. Journal of the American Statistical Association. 72(358). 382–382. 22 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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