Ying Yuan
Impact in
- Statistics and Probability top 0.05%
- Statistical Methods in Clinical Trials
-
- Optimal Experimental Design Methods
Papers in
-
- Statistical Methods in Clinical Trials 149
- Statistical Methods and Inference 30
- Statistical Methods and Bayesian Inference 26
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- Optimal Experimental Design Methods 81
- Co-authors
- Guosheng Yin (16 shared papers)Clifton E. Barry (6 shared papers)David P. MacKinnon (2 shared papers)Suyu Liu (16 shared papers)David R. Sherman (3 shared papers)Peter F. Thall (22 shared papers)Beibei Guo (11 shared papers)Ruitao Lin (24 shared papers)
- Journals
- Journal of Clinical Oncology (26 papers)Biometrics (26 papers)Statistics in Medicine (25 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (16 papers)Neuro-Oncology (15 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ying Yuan
357 papers receiving 10.9k citations
Ying Yuan's Hit Papers
Peers
Comparison fields: 5 of 204
- Statistics and Probability 3.3k
- Management Science and Operations Research 1.6k
- Infectious Diseases 1.5k
- Genetics 698
- Cancer Research 845
Countries citing papers authored by Ying Yuan
This map shows the geographic impact of Ying 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 Ying Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Yuan more than expected).
Fields of papers citing papers by Ying Yuan
This network shows the impact of papers produced by Ying 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 Ying Yuan. The network helps show where Ying Yuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Yuan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 387 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A small-molecule nitroimidazopyran drug candidate for the treatment of tuberculosis Hit paper breakdown → | 2000 | 803 |
| 2 | Bayesian mediation analysis. Hit paper breakdown → | 2009 | 477 |
| 3 | 1998 | 417 | |
| 4 | 1998 | 273 | |
| 5 | 2015 | 262 | |
| 6 | 1989 | 230 | |
| 7 | 2014 | 216 | |
| 8 | 1995 | 167 | |
| 9 | 2017 | 165 | |
| 10 | 1995 | 159 | |
| 11 | 2011 | 150 | |
| 12 | 2011 | 143 | |
| 13 | 2016 | 135 | |
| 14 | 2008 | 133 | |
| 15 | 2011 | 133 | |
| 16 | 2010 | 115 | |
| 17 | 2011 | 114 | |
| 18 | 2018 | 114 | |
| 19 | 2017 | 112 | |
| 20 | 2013 | 111 |
About Ying Yuan
Ying Yuan is a scholar working on Statistics and Probability, Management Science and Operations Research, Oncology, Molecular Biology and Economics and Econometrics, having authored 387 papers that have together received 11.1k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (149 papers), Optimal Experimental Design Methods (81 papers), Health Systems, Economic Evaluations, Quality of Life (40 papers), Statistical Methods and Inference (30 papers), Glioma Diagnosis and Treatment (29 papers), Statistical Methods and Bayesian Inference (26 papers), Computational Drug Discovery Methods (21 papers) and Biosimilars and Bioanalytical Methods (18 papers). The work is most often cited by research in Statistics and Probability (3.3k citations), Management Science and Operations Research (1.6k citations), Infectious Diseases (1.5k citations), Genetics (698 citations) and Cancer Research (845 citations). Ying Yuan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Guosheng Yin, Clifton E. Barry, David P. MacKinnon, Suyu Liu, David R. Sherman, Peter F. Thall, Beibei Guo, Ruitao Lin, Richard Lee and Mark R. Gilbert. Their work appears in journals such as Journal of Clinical Oncology, Biometrics, Statistics in Medicine, Journal of the Royal Statistical Society Series C (Applied Statistics) and Neuro-Oncology.
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.