Mei‐Ling Ting Lee
Impact in
- Statistics and Probability top 0.5%
- Statistical Distribution Estimation and Applications
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Statistical Methods and Bayesian Inference 27
- Statistical Methods and Inference 25
- Statistical Distribution Estimation and Applications 18
- Statistical Methods in Clinical Trials 10
- Co-authors
- G. À. WhitmoreBernard RosnerRobert J. GlynnFrank C. KuoJeffrey SklarAlbert J. BelangerRalph B. D’AgostinoKeaven M. Anderson
- Journals
- Statistics in Medicine (10 papers)Biometrics (8 papers)Lifetime Data Analysis (5 papers)Journal of Biopharmaceutical Statistics (3 papers)Journal of the American Statistical Association (3 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Mei‐Ling Ting Lee
101 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 207
- Statistics and Probability 878
- Cancer Research 1.0k
- Molecular Biology 2.0k
- Orthopedics and Sports Medicine 247
- Management Science and Operations Research 300
Countries citing papers authored by Mei‐Ling Ting Lee
This map shows the geographic impact of Mei‐Ling Ting Lee'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 Mei‐Ling Ting Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Ling Ting Lee more than expected).
Fields of papers citing papers by Mei‐Ling Ting Lee
This network shows the impact of papers produced by Mei‐Ling Ting Lee. 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 Mei‐Ling Ting Lee. The network helps show where Mei‐Ling Ting Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei‐Ling Ting Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 35 | |
| 6 | 2021 | 1 | |
| 7 | 2019 | 3 | |
| 8 | 2018 | 6 | |
| 9 | 2016 | 4 | |
| 10 | 2015 | 29 | |
| 11 | 2015 | 6 | |
| 12 | 2012 | 5 | |
| 13 | 2012 | 11 | |
| 14 | 2009 | 6 | |
| 15 | 2005 | 1 | |
| 16 | 2005 | 340 | |
| 17 | 2002 | 8 | |
| 18 | 1999 | 12 | |
| 19 | 1997 | 5 | |
| 20 | 1996 | 17 |
About Mei‐Ling Ting Lee
Mei‐Ling Ting Lee is a scholar working on Statistics and Probability, Family Practice, Statistics, Probability and Uncertainty, Management Science and Operations Research and Orthopedics and Sports Medicine, having authored 103 papers that have together received 5.2k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (27 papers), Statistical Methods and Inference (25 papers), Statistical Distribution Estimation and Applications (18 papers), Bayesian Methods and Mixture Models (15 papers), Gene expression and cancer classification (13 papers), Statistical Methods in Clinical Trials (10 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Data-Driven Disease Surveillance (7 papers). The work is most often cited by research in Statistics and Probability (878 citations), Cancer Research (1.0k citations), Molecular Biology (2.0k citations), Orthopedics and Sports Medicine (247 citations) and Management Science and Operations Research (300 citations). Mei‐Ling Ting Lee has collaborated with scholars based in United States, Canada and China. Frequent co-authors include G. À. Whitmore, Bernard Rosner, Robert J. Glynn, Frank C. Kuo, Jeffrey Sklar, Albert J. Belanger, Ralph B. D’Agostino, Keaven M. Anderson, William B. Kannel and L. Adrienne Cupples. Their work appears in journals such as Statistics in Medicine, Biometrics, Lifetime Data Analysis, Journal of Biopharmaceutical Statistics and Journal of the American Statistical Association.
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.