Shing M. Lee
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials 22
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- Chronic Obstructive Pulmonary Disease (COPD) Research 8
- Sarcoma Diagnosis and Treatment 5
- Respiratory Support and Mechanisms 4
- Genetics top 5%
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- Health Systems, Economic Evaluations, Quality of Life 12
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- Cancer Genomics and Diagnostics 9
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- Optimal Experimental Design Methods 6
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- Computational Drug Discovery Methods 5
- Co-authors
- Ying Kuen CheungRobert A. WiseFrank C. SciurbaZab MohsenifarGerard J. CrinerWilliam A. SlivkaDavid ShadeMark L. Gonzalgo
- Journals
- Journal of Clinical Oncology (6 papers)Journal of Biopharmaceutical Statistics (5 papers)Statistics in Medicine (5 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Shing M. Lee
75 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 132
- Statistics and Probability 286
- Pulmonary and Respiratory Medicine 748
- Genetics 180
- Pathology and Forensic Medicine 294
- Complementary and alternative medicine 125
Countries citing papers authored by Shing M. Lee
This map shows the geographic impact of Shing M. 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 Shing M. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shing M. Lee more than expected).
Fields of papers citing papers by Shing M. Lee
This network shows the impact of papers produced by Shing M. 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 Shing M. Lee. The network helps show where Shing M. Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shing M. 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 | 4 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 8 | |
| 7 | 2019 | 3 | |
| 8 | 2019 | 26 | |
| 9 | 2017 | 13 | |
| 10 | 2016 | 3 | |
| 11 | 2016 | 50 | |
| 12 | 2011 | 30 | |
| 13 | 2009 | 53 | |
| 14 | 2008 | 42 | |
| 15 | 2005 | 8 | |
| 16 | 2004 | 64 | |
| 17 | 2003 | 300 | |
| 18 | 2002 | 11 | |
| 19 | 2001 | 116 | |
| 20 | 2001 | 51 |
About Shing M. Lee
Shing M. Lee is a scholar working on Statistics and Probability, Family Practice, Cancer Research, Pulmonary and Respiratory Medicine and Economics and Econometrics, having authored 75 papers that have together received 2.3k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (22 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers), Cancer Genomics and Diagnostics (9 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), Optimal Experimental Design Methods (6 papers), Computational Drug Discovery Methods (5 papers), Sarcoma Diagnosis and Treatment (5 papers) and Respiratory Support and Mechanisms (4 papers). The work is most often cited by research in Statistics and Probability (286 citations), Pulmonary and Respiratory Medicine (748 citations), Genetics (180 citations), Pathology and Forensic Medicine (294 citations) and Complementary and alternative medicine (125 citations). Shing M. Lee has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Ying Kuen Cheung, Robert A. Wise, Frank C. Sciurba, Zab Mohsenifar, Gerard J. Criner, William A. Slivka, David Shade, Mark L. Gonzalgo, William G. Nelson and Christian P. Pavlovich. Their work appears in journals such as Journal of Clinical Oncology, Journal of Biopharmaceutical Statistics, Statistics in Medicine, Clinical Trials and Breast Cancer Research and Treatment.
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.