Lei Liu

8.4k total citations
265 papers, 5.5k citations indexed

About

Lei Liu is a scholar working on Statistics and Probability, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lei Liu has authored 265 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Statistics and Probability, 37 papers in Molecular Biology and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lei Liu's work include Statistical Methods and Inference (50 papers), Statistical Methods and Bayesian Inference (38 papers) and Advanced Causal Inference Techniques (21 papers). Lei Liu is often cited by papers focused on Statistical Methods and Inference (50 papers), Statistical Methods and Bayesian Inference (38 papers) and Advanced Causal Inference Techniques (21 papers). Lei Liu collaborates with scholars based in China, United States and Hong Kong. Lei Liu's co-authors include Xuelin Huang, Robert A. Wolfe, Bankole A. Johnson, John O’Quigley, Ya‐Chen Tina Shih, Robert L. Strawderman, Nassima Ait‐Daoud, Xin Qun Wang, Quan Chen and Masud Alam and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Lei Liu

240 papers receiving 5.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lei Liu	1.1k	1.0k	760	470	437	265	5.5k
Cyrus R. Mehta	2.1k 1.9×	1.5k 1.5×	652 0.9×	509 1.1×	602 1.4×	137	8.5k
Yong Chen	545 0.5×	936 0.9×	399 0.5×	200 0.4×	230 0.5×	320	5.9k
Brian Caffo	1.4k 1.3×	640 0.6×	593 0.8×	261 0.6×	764 1.7×	228	10.1k
Nicholas H. G. Holford	999 0.9×	1.5k 1.5×	1.1k 1.4×	482 1.0×	874 2.0×	210	12.9k
Aiyi Liu	667 0.6×	1.5k 1.5×	484 0.6×	126 0.3×	327 0.7×	232	6.0k
Michael J. Daniels	1.8k 1.6×	3.0k 3.0×	479 0.6×	671 1.4×	722 1.7×	281	13.4k
Daniel Commenges	1.3k 1.2×	386 0.4×	450 0.6×	463 1.0×	177 0.4×	174	7.5k
Scott Berry	1.4k 1.3×	600 0.6×	638 0.8×	927 2.0×	1.1k 2.6×	144	6.6k
Stephen B. Duffull	688 0.6×	921 0.9×	865 1.1×	355 0.8×	481 1.1×	278	8.3k
Stuart L. Beal	1.6k 1.4×	703 0.7×	633 0.8×	203 0.4×	333 0.8×	52	6.6k

Countries citing papers authored by Lei Liu

Since Specialization

Citations

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

Fields of papers citing papers by Lei Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Liu. A scholar is included among the top collaborators of Lei Liu 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 Liu. Lei Liu 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

Zhang, Ping, Yuyan Yang, Wei Shi, et al.. (2024). Highly Potent and Intestine Specific P‐Glycoprotein Inhibitor to Enable Oral Delivery of Taxol. Angewandte Chemie International Edition. 63(45). e202412649–e202412649. 5 indexed citations

May, Adam M., Elena Deych, Lei Liu, et al.. (2024). Automated differentiation of wide QRS complex tachycardia using QRS complex polarity. SHILAP Revista de lepidopterología. 4(1). 282–282.

Bai, Xueyan, Yinan Zheng, Lifang Hou, et al.. (2024). An Efficient Testing Procedure for High-Dimensional Mediators with FDR Control. Statistics in Biosciences. 17(3). 615–629. 1 indexed citations

Miller, J. Philip, et al.. (2024). Precision Medicine: Interaction Survival Tree for Recurrent Event Data. Journal of Data Science. 298–313.

Johnson, Bankole A., et al.. (2024). Low-dose ondansetron: A candidate prospective precision medicine to treat alcohol use disorder endophenotypes. European Journal of Internal Medicine. 127. 50–62. 3 indexed citations

Zhang, Haixiang, Xiumei Hong, Yinan Zheng, et al.. (2024). High-dimensional quantile mediation analysis with application to a birth cohort study of mother–newborn pairs. Bioinformatics. 40(2). 1 indexed citations

Cai, Kangfeng, et al.. (2024). Identification and Functional Characterization of Abiotic Stress Tolerance-Related PLATZ Transcription Factor Family in Barley (Hordeum vulgare L.). International Journal of Molecular Sciences. 25(18). 10191–10191. 5 indexed citations

Miller, J. Philip, Mae O. Gordon, Michael A. Kass, et al.. (2024). Deep learning models to predict primary open‐angle glaucoma. Stat. 13(1). 1 indexed citations

Niu, Fang, Cheng Zheng, & Lei Liu. (2023). Exploring causal mechanisms and quantifying direct and indirect effects using a joint modeling approach for recurrent and terminal events. Statistics in Medicine. 42(22). 4028–4042.

10.

Sun, Feinuo, Jie Yao, Feng Qian, et al.. (2023). Social Determinants, Cardiovascular Disease, and Health Care Cost: A Nationwide Study in the United States Using Machine Learning. Journal of the American Heart Association. 12(5). e027919–e027919. 13 indexed citations

11.

Shi, Yi‐Ming, Huilin Li, Chan Wang, et al.. (2023). A flexible quasi‐likelihood model for microbiome abundance count data. Statistics in Medicine. 42(25). 4632–4643. 1 indexed citations

12.

Su, Xiaogang, et al.. (2020). Variable selection in joint frailty models of recurrent and terminal events. Biometrics. 76(4). 1330–1339. 6 indexed citations

13.

Zhang, Haixiang, Jun Chen, Yang Feng, et al.. (2020). Mediation effect selection in high‐dimensional and compositional microbiome data. Statistics in Medicine. 40(4). 885–896. 18 indexed citations

14.

He, Yong, Hao Chen, Hao Sun, et al.. (2020). High‐dimensional integrative copula discriminant analysis for multiomics data. Statistics in Medicine. 39(30). 4869–4884. 3 indexed citations

15.

Huang, Xuelin, Lei Liu, Jing Ning, Liang Li, & Yu Shen. (2019). Estimation of the distribution of longitudinal biomarker trajectories prior to disease progression. Statistics in Medicine. 38(11). 2030–2046. 4 indexed citations

16.

Zhang, Haixiang, Jun Chen, Zhigang Li, & Lei Liu. (2019). Testing for Mediation Effect with Application to Human Microbiome Data. Statistics in Biosciences. 13(2). 313–328. 25 indexed citations

17.

Su, Xiaogang, et al.. (2018). Random forests of interaction trees for estimating individualized treatment effects in randomized trials. Statistics in Medicine. 37(17). 2547–2560. 26 indexed citations

18.

Liu, Lei, Cheng Zheng, & Joseph Kang. (2018). Exploring causality mechanism in the joint analysis of longitudinal and survival data. Statistics in Medicine. 37(26). 3733–3744. 9 indexed citations

19.

Li, Zhigang, H. Robert Frost, Tor D. Tosteson, et al.. (2017). A semiparametric joint model for terminal trend of quality of life and survival in palliative care research. Statistics in Medicine. 36(29). 4692–4704. 10 indexed citations

20.

Liu, Lei, et al.. (2012). Timing of internal fixation and effect on Schatzker IV-VI. SHILAP Revista de lepidopterología. 1 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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