Fan Li

8.0k total citations · 1 hit paper
269 papers, 4.3k citations indexed

About

Fan Li is a scholar working on Statistics and Probability, Economics and Econometrics and Infectious Diseases. According to data from OpenAlex, Fan Li has authored 269 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Statistics and Probability, 31 papers in Economics and Econometrics and 23 papers in Infectious Diseases. Recurrent topics in Fan Li's work include Advanced Causal Inference Techniques (99 papers), Statistical Methods and Bayesian Inference (97 papers) and Statistical Methods in Clinical Trials (60 papers). Fan Li is often cited by papers focused on Advanced Causal Inference Techniques (99 papers), Statistical Methods and Bayesian Inference (97 papers) and Statistical Methods in Clinical Trials (60 papers). Fan Li collaborates with scholars based in United States, China and Canada. Fan Li's co-authors include Laine Thomas, Elizabeth L. Turner, David M. Murray, Nancy R. Zhang, John S. Preisser, John A. Gallis, Alan M. Zaslavsky, Mary Beth Landrum, Mélanie Prague and Peng Ding and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Fan Li

244 papers receiving 4.2k citations

Hit Papers

Addressing Extreme Propensity Scores via the Overlap Weights 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fan Li United States 33 1.5k 524 492 409 359 269 4.3k
Nigel Stallard United Kingdom 36 2.0k 1.3× 789 1.5× 376 0.8× 249 0.6× 225 0.6× 193 4.4k
Shirley Wang United States 32 676 0.4× 919 1.8× 339 0.7× 434 1.1× 143 0.4× 147 4.1k
Gerald J. Dal Pan United States 30 391 0.3× 709 1.4× 287 0.6× 429 1.0× 358 1.0× 106 4.1k
Tim Friede Germany 45 1.7k 1.1× 649 1.2× 524 1.1× 592 1.4× 141 0.4× 331 7.5k
Sengwee Toh United States 40 735 0.5× 719 1.4× 356 0.7× 560 1.4× 112 0.3× 200 5.5k
John Whitehead United Kingdom 33 2.7k 1.7× 906 1.7× 379 0.8× 365 0.9× 136 0.4× 147 4.8k
Weichung Joe Shih United States 37 924 0.6× 402 0.8× 1.2k 2.5× 266 0.7× 73 0.2× 139 5.4k
Abraham G. Hartzema United States 37 351 0.2× 534 1.0× 339 0.7× 680 1.7× 159 0.4× 113 4.4k
Jessica M. Franklin United States 45 1.1k 0.7× 1.8k 3.4× 504 1.0× 563 1.4× 171 0.5× 160 6.5k
KyungMann Kim United States 39 1.2k 0.8× 387 0.7× 1.4k 2.8× 1.3k 3.1× 104 0.3× 176 6.7k

Countries citing papers authored by Fan Li

Since Specialization
Citations

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

Fields of papers citing papers by Fan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Li. A scholar is included among the top collaborators of Fan Li 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 Fan Li. Fan Li 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.
Yang, Jian, et al.. (2025). Cost-Effectiveness of Sorafenib, Lenvatinib, and FOLFOX4 for Advanced Hepatocellular Carcinoma in China. Journal of Health Science and Medical Research. 20251153–20251153. 1 indexed citations
2.
Lin, Aifen, Adam J. Lamble, Rhonda E. Ries, et al.. (2025). TP53 inactivation confers resistance to the menin inhibitor revumenib in Acute Myeloid Leukemia. Blood. 146(Supplement 1). 3470–3470.
3.
Niu, Zhigao, Lasse Ingerslev Blaabjerg, Henrik D. Pedersen, et al.. (2024). Salcaprozate-based ionic liquids for GLP-1 gastric delivery: A mechanistic understanding of in vivo performance. Journal of Controlled Release. 377. 267–276. 4 indexed citations
4.
Wang, Bingkai, et al.. (2024). How to achieve model-robust inference in stepped wedge trials with model-based methods?. Biometrics. 80(4). 8 indexed citations
5.
6.
Dreyer, Rachel P., Fan Li, Erica S. Spatz, et al.. (2024). Association of marital/partner status with hospital readmission among young adults with acute myocardial infarction. PLoS ONE. 19(1). e0287949–e0287949.
7.
Li, Fan, Andrea J. Cook, Patrick J. Heagerty, et al.. (2024). Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs. Statistics in Medicine. 43(25). 4796–4818. 3 indexed citations
8.
Preisser, John S., et al.. (2023). GEEMAEE: A SAS macro for the analysis of correlated outcomes based on GEE and finite-sample adjustments with application to cluster randomized trials. Computer Methods and Programs in Biomedicine. 230. 107362–107362. 5 indexed citations
9.
Kahan, Brennan C, Suzie Cro, Fan Li, & Michael O. Harhay. (2023). Eliminating Ambiguous Treatment Effects Using Estimands. American Journal of Epidemiology. 192(6). 987–994. 24 indexed citations
10.
Li, Fan, et al.. (2023). Planning stepped wedge cluster randomized trials to detect treatment effect heterogeneity. Statistics in Medicine. 43(5). 890–911. 2 indexed citations
11.
Li, Mingwei, et al.. (2023). Biallelic truncating TTN variants in M‐band encoding exons cause a fetal lethal titinopathy. Prenatal Diagnosis. 44(1). 81–87. 1 indexed citations
12.
Dreyer, Rachel P., Fan Li, Erica S. Spatz, et al.. (2023). Impact of Marital Stress on 1‐Year Health Outcomes Among Young Adults With Acute Myocardial Infarction. Journal of the American Heart Association. 12(17). e030031–e030031. 6 indexed citations
13.
Yang, Siyun, et al.. (2023). Propensity score weighting methods for causal subgroup analysis with time-to-event outcomes. Statistical Methods in Medical Research. 32(10). 1919–1935. 1 indexed citations
14.
Ghazi, Lama, Fan Li, Xinyuan Chen, et al.. (2022). Severe inpatient hypertension prevalence and blood pressure response to antihypertensive treatment. Journal of Clinical Hypertension. 24(3). 339–349. 10 indexed citations
15.
Li, Fan & Rui Wang. (2022). Stepped Wedge Cluster Randomized Trials: A Methodological Overview. World Neurosurgery. 161. 323–330. 15 indexed citations
16.
Li, Fan, Wenhan Lu, Yuxuan Wang, et al.. (2022). A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risks. Statistical Methods in Medical Research. 31(7). 1224–1241. 7 indexed citations
17.
Kahan, Brennan C, Fan Li, Andrew Copas, & Michael O. Harhay. (2022). Estimands in cluster-randomized trials: choosing analyses that answer the right question. International Journal of Epidemiology. 52(1). 107–118. 57 indexed citations
18.
Hu, Liangyuan, Jiayi Ji, & Fan Li. (2021). Estimating heterogeneous survival treatment effect in observational data using machine learning. Statistics in Medicine. 40(21). 4691–4713. 41 indexed citations
19.
Yang, Siyun, Fan Li, & Laine Thomas. (2021). Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach. Clinical Trials. 18(5). 570–581. 9 indexed citations
20.
Majoros, William H., Young‐Sook Kim, Alejandro Barrera, et al.. (2019). Bayesian estimation of genetic regulatory effects in high-throughput reporter assays. Bioinformatics. 36(2). 331–338. 2 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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