David Pee
- Oncology top 2%
- Global Cancer Incidence and Screening 9
- Cancer Risks and Factors 6
- Statistics and Probability top 1%
- Advanced Causal Inference Techniques 7
- Statistical Methods and Bayesian Inference 6
- Statistical Methods and Inference 6
- Gastroenterology top 5%
- Cancer Research top 5%
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- Helicobacter pylori-related gastroenterology studies 7
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- Genetic Associations and Epidemiology 6
- BRCA gene mutations in cancer 5
- Co-authors
- Mitchell H. GailRaymond J. CarrollRuth M. PfeifferWei‐Cheng YouWeidong LiuLínda Morris BrownWilliam J. BlotKai‐Feng Pan
- Journals
- JNCI Journal of the National Cancer Institute (7 papers)Genetic Epidemiology (5 papers)Statistics in Medicine (4 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
David Pee
48 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Oncology 1.1k
- Statistics and Probability 314
- Pathology and Forensic Medicine 501
- Gastroenterology 145
- Cancer Research 372
Countries citing papers authored by David Pee
This map shows the geographic impact of David Pee'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 David Pee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Pee more than expected).
Fields of papers citing papers by David Pee
This network shows the impact of papers produced by David Pee. 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 David Pee. The network helps show where David Pee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Pee, 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 | 2016 | 54 | |
| 2 | 2013 | 110 | |
| 3 | 2011 | 135 | |
| 4 | 2010 | 30 | |
| 5 | 2008 | 8 | |
| 6 | 2006 | 336 | |
| 7 | 2006 | 264 | |
| 8 | 2005 | 280 | |
| 9 | 2005 | 7 | |
| 10 | 2002 | 85 | |
| 11 | 2002 | 4 | |
| 12 | 2001 | 11 | |
| 13 | 2000 | 3 | |
| 14 | 1999 | 161 | |
| 15 | 1999 | 46 | |
| 16 | 1993 | 33 | |
| 17 | 1992 | 318 | |
| 18 | 1991 | 7 | |
| 19 | 1990 | 7 | |
| 20 | 1988 | 34 |
About David Pee
David Pee is a scholar working on Statistics and Probability, Oncology and Genetics, having authored 48 papers that have together received 3.5k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (9 papers), Advanced Causal Inference Techniques (7 papers), Helicobacter pylori-related gastroenterology studies (7 papers), Cancer Risks and Factors (6 papers), Statistical Methods and Bayesian Inference (6 papers), Genetic Associations and Epidemiology (6 papers), Statistical Methods and Inference (6 papers) and BRCA gene mutations in cancer (5 papers). The work is most often cited by research in Oncology (1.1k citations), Statistics and Probability (314 citations) and Pathology and Forensic Medicine (501 citations). David Pee has collaborated with scholars based in United States, China and France. Frequent co-authors include Mitchell H. Gail, Raymond J. Carroll, Ruth M. Pfeiffer, Wei‐Cheng You, Weidong Liu, Línda Morris Brown, William J. Blot, Kai‐Feng Pan, Joseph F. Fraumeni and Lian Zhang. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Genetic Epidemiology, Statistics in Medicine, Journal of Clinical Oncology and Biometrics.
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.