Lei Nie

3.5k total citations · 1 hit paper
72 papers, 2.0k citations indexed

About

Lei Nie is a scholar working on Statistics and Probability, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Lei Nie has authored 72 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Statistics and Probability, 11 papers in Management Science and Operations Research and 9 papers in Economics and Econometrics. Recurrent topics in Lei Nie's work include Statistical Methods in Clinical Trials (42 papers), Advanced Causal Inference Techniques (20 papers) and Statistical Methods and Bayesian Inference (20 papers). Lei Nie is often cited by papers focused on Statistical Methods in Clinical Trials (42 papers), Advanced Causal Inference Techniques (20 papers) and Statistical Methods and Bayesian Inference (20 papers). Lei Nie collaborates with scholars based in United States, China and Netherlands. Lei Nie's co-authors include Richard Pazdur, Ann T. Farrell, Haitao Chu, Donna Przepiorka, Stacy S. Shord, Bahru Habtemariam, Robert Q. Le, Liang Li, Weishi Yuan and Ying Yuan and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Lei Nie

66 papers receiving 1.9k citations

Hit Papers

FDA Approval Summary: Tocilizumab for Treatment of Chimer... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Nie United States 22 659 545 304 257 221 72 2.0k
Myron Chang United States 33 467 0.7× 722 1.3× 236 0.8× 70 0.3× 883 4.0× 126 3.4k
Pascal Girard France 27 437 0.7× 602 1.1× 145 0.5× 75 0.3× 133 0.6× 102 2.3k
Brian P. Hobbs United States 35 1.1k 1.7× 1.4k 2.6× 234 0.8× 49 0.2× 86 0.4× 149 4.9k
Mei‐Jie Zhang United States 28 449 0.7× 454 0.8× 184 0.6× 59 0.2× 674 3.0× 112 2.5k
Mark D. Rothmann United States 16 382 0.6× 443 0.8× 135 0.4× 29 0.1× 508 2.3× 46 1.9k
Dirk F. Moore United States 34 338 0.5× 769 1.4× 100 0.3× 130 0.5× 46 0.2× 120 3.5k
John O’Quigley France 37 2.9k 4.5× 768 1.4× 437 1.4× 47 0.2× 518 2.3× 133 5.3k
Pavlos Msaouel United States 31 138 0.2× 1.1k 2.0× 237 0.8× 158 0.6× 57 0.3× 225 3.4k
Anthony Rossini United States 21 582 0.9× 52 0.1× 96 0.3× 287 1.1× 140 0.6× 42 1.8k
Joseph S. Koopmeiners United States 28 305 0.5× 273 0.5× 83 0.3× 71 0.3× 21 0.1× 109 2.2k

Countries citing papers authored by Lei Nie

Since Specialization
Citations

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

Fields of papers citing papers by Lei Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Nie. A scholar is included among the top collaborators of Lei Nie 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 Lei Nie. Lei Nie 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.
Gruber, Susan, Haitao Chu, Shiowjen Lee, et al.. (2025). Use of Real‐World Data and Real‐World Evidence in Rare Disease Drug Development: A Statistical Perspective. Clinical Pharmacology & Therapeutics. 117(4). 946–960. 2 indexed citations
2.
Nie, Lei, Shiowjen Lee, Haitao Chu, et al.. (2025). Challenges and Possible Strategies to Address Them in Rare Disease Drug Development: A Statistical Perspective. Clinical Pharmacology & Therapeutics. 118(1). 62–73. 1 indexed citations
3.
Nie, Lei, et al.. (2025). The research on the infrared time-sequence imaging inspection method for internal defects of 3D TSV packaging. Microelectronics Reliability. 166. 115608–115608.
4.
Gilbert, Peter B., James Peng, Larry Han, et al.. (2024). A surrogate endpoint-based provisional approval causal roadmap, illustrated by vaccine development. Biostatistics. 26(1).
5.
Zhou, Heng, et al.. (2024). Robustness Assessment of Oncology Dose-Finding Trials Using the Modified Fragility Index. Cancers. 16(20). 3504–3504. 1 indexed citations
6.
Zhang, Zhiwei, Zonghui Hu, Dean Follmann, & Lei Nie. (2023). Estimating the average treatment effect in randomized clinical trials with all-or-none compliance. The Annals of Applied Statistics. 17(1).
7.
Peng, Yang, et al.. (2023). SAM: Self-Adapting Mixture Prior to Dynamically Borrow Information from Historical Data in Clinical Trials. Biometrics. 79(4). 2857–2868. 9 indexed citations
8.
Liu, Jialing, et al.. (2023). Borrowing Concurrent Information from Non-Concurrent Control to Enhance Statistical Efficiency in Platform Trials. Current Oncology. 30(4). 3964–3973. 3 indexed citations
9.
Jiang, Liyun, Lei Nie, & Ying Yuan. (2021). Elastic priors to dynamically borrow information from historical data in clinical trials. Biometrics. 79(1). 49–60. 27 indexed citations
10.
Kasamon, Yvette L., Haiyan Chen, R. Angelo de Claro, et al.. (2019). FDA Approval Summary: Mogamulizumab-kpkc for Mycosis Fungoides and Sézary Syndrome. Clinical Cancer Research. 25(24). 7275–7280. 51 indexed citations
11.
Przepiorka, Donna, Lola Luo, Sriram Subramaniam, et al.. (2019). FDA Approval Summary: Ruxolitinib for Treatment of Steroid-Refractory Acute Graft-Versus-Host Disease. The Oncologist. 25(2). e328–e334. 91 indexed citations
12.
Le, Robert Q., Liang Li, Weishi Yuan, et al.. (2018). FDA Approval Summary: Tocilizumab for Treatment of Chimeric Antigen Receptor T Cell-Induced Severe or Life-Threatening Cytokine Release Syndrome. The Oncologist. 23(8). 943–947. 610 indexed citations breakdown →
13.
Zhou, Heng, Ying Yuan, & Lei Nie. (2018). Accuracy, Safety, and Reliability of Novel Phase I Trial Designs. Clinical Cancer Research. 24(18). 4357–4364. 72 indexed citations
14.
Yuan, Ying, Ruitao Lin, Daniel Li, Lei Nie, & Katherine E. Warren. (2018). Time-to-Event Bayesian Optimal Interval Design to Accelerate Phase I Trials. Clinical Cancer Research. 24(20). 4921–4930. 84 indexed citations
15.
Pulte, Dianne, Jonathon Vallejo, Donna Przepiorka, et al.. (2018). FDA Supplemental Approval: Blinatumomab for Treatment of Relapsed and Refractory Precursor B-Cell Acute Lymphoblastic Leukemia. The Oncologist. 23(11). 1366–1371. 44 indexed citations
16.
Zhang, Zhiwei, Shujie Ma, Lei Nie, & Guoxing Soon. (2017). A Quantitative Concordance Measure for Comparing and Combining Treatment Selection Markers. The International Journal of Biostatistics. 13(1). 1 indexed citations
17.
Carlin, Bradley P., James D. Neaton, Guoxing Soon, et al.. (2013). Network meta-analysis of randomized clinical trials: Reporting the proper summaries. Clinical Trials. 11(2). 246–262. 89 indexed citations
18.
Nie, Lei, et al.. (2013). Study on Mineral Distribution of Peat Soil in Northeast China. Asian Journal of Chemistry. 25(18). 10150–10152. 1 indexed citations
19.
Nie, Lei & Guoxing Soon. (2010). A covariate‐adjustment regression model approach to noninferiority margin definition. Statistics in Medicine. 29(10). 1107–1113. 12 indexed citations
20.
Li, Runze & Lei Nie. (2007). Efficient Statistical Inference Procedures for Partially Nonlinear Models and their Applications. Biometrics. 64(3). 904–911. 35 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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