David Pee
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Bayesian Inference
- Oncology top 5%
- Global Cancer Incidence and Screening
- Colorectal Cancer Screening and Detection
- Cancer Risks and Factors
Papers in
- Oncology 13
- Global Cancer Incidence and Screening 4
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- Advanced Causal Inference Techniques 7
- Statistical Methods and Bayesian Inference 6
- Statistical Methods and Inference 6
- Statistical Methods in Clinical Trials 4
- Co-authors
- Mitchell H. Gail (31 shared papers)Raymond J. Carroll (6 shared papers)Ruth M. Pfeiffer (8 shared papers)Wei‐Cheng You (6 shared papers)Weidong Liu (5 shared papers)Línda Morris Brown (5 shared papers)William J. Blot (4 shared papers)Kai‐Feng Pan (5 shared papers)
- Journals
- JNCI Journal of the National Cancer Institute (7 papers)Statistics in Medicine (5 papers)Genetic Epidemiology (5 papers)Journal of Clinical Oncology (3 papers)Biometrics (3 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
David Pee
49 papers receiving 3.4k citations
David Pee's Hit Papers
Peers
Comparison fields: 5 of 143
- Statistics and Probability 299
- Oncology 796
- Pathology and Forensic Medicine 344
- Surgery 736
- Cancer Research 257
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-authors
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
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fifteen-Year Effects of Helicobacter pylori, Garlic, and Vitamin Treatments on Gastric Cancer Incidence and Mortality Hit paper breakdown → | 2012 | 347 |
| 2 | 2006 | 337 | |
| 3 | 1992 | 319 | |
| 4 | 2005 | 280 | |
| 5 | 2006 | 264 | |
| 6 | 2008 | 178 | |
| 7 | 1996 | 177 | |
| 8 | 1999 | 162 | |
| 9 | 2011 | 136 | |
| 10 | 2013 | 116 | |
| 11 | 2014 | 115 | |
| 12 | 2008 | 106 | |
| 13 | 2002 | 85 | |
| 14 | 2004 | 78 | |
| 15 | 1987 | 74 | |
| 16 | 2005 | 70 | |
| 17 | 1989 | 62 | |
| 18 | 2016 | 55 | |
| 19 | 1995 | 47 | |
| 20 | 1999 | 46 |
About David Pee
David Pee is a scholar working on Oncology, Statistics and Probability, Genetics, Surgery and Molecular Biology, having authored 49 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (7 papers), Helicobacter pylori-related gastroenterology studies (7 papers), Statistical Methods and Bayesian Inference (6 papers), Statistical Methods and Inference (6 papers), Genetic Associations and Epidemiology (6 papers), Statistical Methods in Clinical Trials (4 papers), Global Cancer Incidence and Screening (4 papers) and BRCA gene mutations in cancer (3 papers). The work is most often cited by research in Statistics and Probability (299 citations), Oncology (796 citations), Pathology and Forensic Medicine (344 citations), Surgery (736 citations) and Cancer Research (257 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, Statistics in Medicine, Genetic Epidemiology, 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.