Young Jack Lee
Impact in
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
- Obstetrics and Gynecology top 5%
- Gestational Diabetes Research and Management
- Pregnancy and preeclampsia studies
Papers in
-
- Statistical Methods in Clinical Trials 10
- Statistical Methods and Bayesian Inference 9
- Advanced Statistical Methods and Models 8
- Statistical Methods and Inference 5
- Statistical Distribution Estimation and Applications 3
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- Meta-analysis and systematic reviews 3
- Co-authors
- Karin B. Nelson (2 shared papers)Deborah G. Hirtz (2 shared papers)Jonas H. Ellenberg (2 shared papers)Jacqueline R. Farwell (1 shared paper)Stephen Sulzbacher (1 shared paper)James L. Mills (5 shared papers)Mary Conley (4 shared papers)Franco M. Muggia (1 shared paper)
- Journals
- Journal of the American Statistical Association (6 papers)Statistics in Medicine (4 papers)Journal of Statistical Planning and Inference (2 papers)Technometrics (2 papers)Cancer (1 paper)
- Partner nations
- United StatesSouth KoreaIreland
In The Last Decade
Young Jack Lee
33 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 155
- Statistics and Probability 222
- Obstetrics and Gynecology 212
- Pediatrics, Perinatology and Child Health 447
- Psychiatry and Mental health 334
- Statistics, Probability and Uncertainty 100
Countries citing papers authored by Young Jack Lee
This map shows the geographic impact of Young Jack 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 Young Jack Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Jack Lee more than expected).
Fields of papers citing papers by Young Jack Lee
This network shows the impact of papers produced by Young Jack 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 Young Jack Lee. The network helps show where Young Jack Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Young Jack 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
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 417 | |
| 2 | 1991 | 217 | |
| 3 | 1998 | 133 | |
| 4 | 1981 | 127 | |
| 5 | 1999 | 114 | |
| 6 | 1980 | 90 | |
| 7 | 1996 | 81 | |
| 8 | 2005 | 74 | |
| 9 | 1983 | 72 | |
| 10 | 1976 | 27 | |
| 11 | 2001 | 27 | |
| 12 | 2001 | 25 | |
| 13 | 1988 | 21 | |
| 14 | 1984 | 18 | |
| 15 | 1987 | 17 | |
| 16 | 1999 | 15 | |
| 17 | 1983 | 14 | |
| 18 | 2006 | 13 | |
| 19 | 1984 | 11 | |
| 20 | 1980 | 8 |
About Young Jack Lee
Young Jack Lee is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Surgery and Molecular Biology, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (10 papers), Statistical Methods and Bayesian Inference (9 papers), Advanced Statistical Methods and Models (8 papers), Statistical Methods and Inference (5 papers), Bayesian Methods and Mixture Models (4 papers), Folate and B Vitamins Research (3 papers), Meta-analysis and systematic reviews (3 papers) and Statistical Distribution Estimation and Applications (3 papers). The work is most often cited by research in Statistics and Probability (222 citations), Obstetrics and Gynecology (212 citations), Pediatrics, Perinatology and Child Health (447 citations), Psychiatry and Mental health (334 citations) and Statistics, Probability and Uncertainty (100 citations). Young Jack Lee has collaborated with scholars based in United States, South Korea and Ireland. Frequent co-authors include Karin B. Nelson, Deborah G. Hirtz, Jonas H. Ellenberg, Jacqueline R. Farwell, Stephen Sulzbacher, James L. Mills, Mary Conley, Franco M. Muggia, Maurice J. Staquet and Marcel Rozencweig. Their work appears in journals such as Journal of the American Statistical Association, Statistics in Medicine, Journal of Statistical Planning and Inference, Technometrics and Cancer.
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.