William Yuan

807 total citations
10 papers, 302 citations indexed

About

William Yuan is a scholar working on Statistics and Probability, Economics and Econometrics and Statistics, Probability and Uncertainty. According to data from OpenAlex, William Yuan has authored 10 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 2 papers in Economics and Econometrics and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in William Yuan's work include Meta-analysis and systematic reviews (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Advanced Causal Inference Techniques (2 papers). William Yuan is often cited by papers focused on Meta-analysis and systematic reviews (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Advanced Causal Inference Techniques (2 papers). William Yuan collaborates with scholars based in United States, United Kingdom and Taiwan. William Yuan's co-authors include Isaac S. Kohane, Kun‐Hsing Yu, Brett K. Beaulieu‐Jones, Vinay Prasad, Russ B. Altman, Samuel G. Finlayson, Lea Goentoro, Michael J. Abrams, Chin‐Lin Guo and Nathan Palmer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and International Journal of Obesity.

In The Last Decade

William Yuan

10 papers receiving 297 citations

Peers

William Yuan

MB

CTM

MC

EE

PALEO

Jackson Burton United States

Yohann Mansiaux France

Tianmeng Lyu United States

Tobias Hepp Germany

M. Sofia Massa United Kingdom

Sandra S. Ferreira Portugal

Emma Magavern United Kingdom

Evelyne Bischof China

Ghislain Rocheleau United States

Franco Cortese United Kingdom

Jackson Burton United States

William Yuan

71 ×1.0

MB

45 ×0.8

CTM

9 ×0.2

MC

14 ×0.3

EE

0 ×0.0

PALEO

Citations per year, relative to William Yuan William Yuan (= 1×) peers Jackson Burton

Countries citing papers authored by William Yuan

Since Specialization

Citations

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

Fields of papers citing papers by William Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of William Yuan. A scholar is included among the top collaborators of William Yuan 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 William Yuan. William Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Marwaha, Jayson S., et al.. (2024). An operational guide to translational clinical machine learning in academic medical centers. npj Digital Medicine. 7(1). 129–129. 8 indexed citations

2.

Marwaha, Jayson S., Brendin R. Beaulieu‐Jones, William Yuan, et al.. (2023). Quantifying the Prognostic Value of Preoperative Surgeon Intuition: Comparing Surgeon Intuition and Clinical Risk Prediction as Derived from the American College of Surgeons NSQIP Risk Calculator. Journal of the American College of Surgeons. 236(6). 1093–1103. 4 indexed citations

3.

Yuan, William, Jayson S. Marwaha, Shana Rakowsky, et al.. (2022). Trends in Medical Management of Moderately to Severely Active Ulcerative Colitis: A Nationwide Retrospective Analysis. Inflammatory Bowel Diseases. 29(5). 695–704. 5 indexed citations

4.

Yuan, William, et al.. (2021). Illustrating potential effects of alternate control populations on real-world evidence-based statistical analyses. JAMIA Open. 4(2). ooab045–ooab045. 2 indexed citations

5.

Yuan, William, Brett K. Beaulieu‐Jones, Kun‐Hsing Yu, et al.. (2021). Temporal bias in case-control design: preventing reliable predictions of the future. Nature Communications. 12(1). 1107–1107. 41 indexed citations

6.

Yuan, William, Kun‐Hsing Yu, Nathan Palmer, Fatima Cody Stanford, & Isaac S. Kohane. (2019). Evaluation of the association of bariatric surgery with subsequent depression. International Journal of Obesity. 43(12). 2528–2535. 14 indexed citations

7.

Beaulieu‐Jones, Brett K., Samuel G. Finlayson, William Yuan, et al.. (2019). Examining the Use of Real‐World Evidence in the Regulatory Process. Clinical Pharmacology & Therapeutics. 107(4). 843–852. 105 indexed citations

8.

Yuan, William, Dadi Jiang, Dhanya K. Nambiar, et al.. (2017). Chemical Space Mimicry for Drug Discovery. Journal of Chemical Information and Modeling. 57(4). 875–882. 62 indexed citations

9.

Abrams, Michael J., et al.. (2015). Self-repairing symmetry in jellyfish through mechanically driven reorganization. Proceedings of the National Academy of Sciences. 112(26). E3365–73. 60 indexed citations

10.

Shun, Zhenming, et al.. (2001). Rejoinder. Statistics in Medicine. 20(4). 519–520. 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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