David Pee

4.8k total citations · 1 hit paper
48 papers, 3.5k citations indexed

About

David Pee is a scholar working on Oncology, Statistics and Probability and Genetics. According to data from OpenAlex, David Pee has authored 48 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 13 papers in Statistics and Probability and 10 papers in Genetics. Recurrent topics in David Pee's work include Global Cancer Incidence and Screening (9 papers), Advanced Causal Inference Techniques (7 papers) and Helicobacter pylori-related gastroenterology studies (7 papers). David Pee is often cited by papers focused on Global Cancer Incidence and Screening (9 papers), Advanced Causal Inference Techniques (7 papers) and Helicobacter pylori-related gastroenterology studies (7 papers). David Pee collaborates with scholars based in United States, China and France. David Pee's 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 and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and Hepatology.

In The Last Decade

David Pee

48 papers receiving 3.3k citations

Hit Papers

Fifteen-Year Effects of Helicobacter pylori, Garlic, and ... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Pee United States 27 1.1k 832 800 538 501 48 3.5k
Anne I. Goldman United States 36 1.2k 1.1× 630 0.8× 557 0.7× 326 0.6× 510 1.0× 73 5.1k
Susanne Möller Denmark 29 1.4k 1.2× 459 0.6× 424 0.5× 317 0.6× 366 0.7× 82 2.8k
Eisuke Inoue Japan 39 509 0.4× 626 0.8× 595 0.7× 224 0.4× 791 1.6× 233 5.5k
Dirk F. Moore United States 34 769 0.7× 451 0.5× 851 1.1× 212 0.4× 203 0.4× 120 3.5k
Sholom Wacholder United States 26 622 0.5× 1.1k 1.3× 316 0.4× 361 0.7× 229 0.5× 44 4.3k
Donald K. Corle United States 20 2.2k 1.9× 426 0.5× 989 1.2× 1.7k 3.1× 895 1.8× 33 4.8k
Swen‐Olof Andersson Sweden 34 1.3k 1.1× 1.3k 1.6× 3.4k 4.3× 215 0.4× 282 0.6× 59 5.6k
Michel Velten France 36 2.0k 1.8× 900 1.1× 889 1.1× 299 0.6× 575 1.1× 175 4.6k
J. Wahrendorf Germany 27 444 0.4× 474 0.6× 408 0.5× 258 0.5× 152 0.3× 54 2.8k
Laura Baglietto Australia 37 1.7k 1.5× 320 0.4× 533 0.7× 805 1.5× 911 1.8× 116 4.3k

Countries citing papers authored by David Pee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of David Pee

This figure shows the co-authorship network connecting the top 25 collaborators of David Pee. A scholar is included among the top collaborators of David Pee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Pee. David Pee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Banegas, Matthew P., Esther M. John, Martha L. Slattery, et al.. (2016). Projecting Individualized Absolute Invasive Breast Cancer Risk in US Hispanic Women. JNCI Journal of the National Cancer Institute. 109(2). djw215–djw215. 54 indexed citations
2.
Li, Wenqing, Junling Ma, Lian Zhang, et al.. (2014). Effects of Helicobacter pylori Treatment on Gastric Cancer Incidence and Mortality in Subgroups. JNCI Journal of the National Cancer Institute. 106(7). 114 indexed citations
3.
Pfeiffer, Ruth M., Yikyung Park, Aimée R. Kreimer, et al.. (2013). Risk Prediction for Breast, Endometrial, and Ovarian Cancer in White Women Aged 50 y or Older: Derivation and Validation from Population-Based Cohort Studies. PLoS Medicine. 10(7). e1001492–e1001492. 110 indexed citations
5.
Freedman, Andrew N., Martha L. Slattery, Rachel Ballard‐Barbash, et al.. (2008). Colorectal Cancer Risk Prediction Tool for White Men and Women Without Known Susceptibility. Journal of Clinical Oncology. 27(5). 686–693. 174 indexed citations
6.
You, Wei‐Cheng, Línda Morris Brown, Lian Zhang, et al.. (2006). Randomized Double-Blind Factorial Trial of Three Treatments To Reduce the Prevalence of Precancerous Gastric Lesions. JNCI Journal of the National Cancer Institute. 98(14). 974–983. 336 indexed citations
7.
You, Wei‐Cheng, Jun‐Yan Hong, Lian Zhang, et al.. (2005). Genetic Polymorphisms of CYP2E1, GSTT1, GSTP1, GSTM1, ALDH2, and ODC and the Risk of Advanced Precancerous Gastric Lesions in a Chinese Population. Cancer Epidemiology Biomarkers & Prevention. 14(2). 451–458. 27 indexed citations
8.
Pfeiffer, Ruth M., Louise Ryan, Augusto A. Litonjua, & David Pee. (2005). A Case‐Cohort Design for Assessing Covariate Effects in Longitudinal Studies. Biometrics. 61(4). 982–991. 7 indexed citations
9.
Travis, Lois B., Deirdre A. Hill, Graça M. Dores, et al.. (2005). Cumulative Absolute Breast Cancer Risk for Young Women Treated for Hodgkin Lymphoma. JNCI Journal of the National Cancer Institute. 97(19). 1428–1437. 280 indexed citations
10.
Brown, Línda Morris, Tami L. Thomas, Wei‐Cheng You, et al.. (2002). Helicobacter pylori infection in rural China: demographic, lifestyle and environmental factors. International Journal of Epidemiology. 31(3). 638–645. 85 indexed citations
11.
Li, Zhaohai, Mitchell H. Gail, David Pee, & Joseph L. Gastwirth. (2002). Statistical Properties of Teng and Risch’s Sibship Type Tests for Detecting an Association between Disease and a Candidate Allele. Human Heredity. 53(3). 114–129. 4 indexed citations
12.
Moore, Dirk F., et al.. (2001). Pseudo-likelihood estimates of the cumulative risk of an autosomal dominant disease from a kin-cohort study. Genetic Epidemiology. 20(2). 210–227. 11 indexed citations
13.
Sun, Zongtang, Peixin Lu, Mitchell H. Gail, et al.. (1999). Increased risk of hepatocellular carcinoma in male hepatitis B surface antigen carriers with chronic hepatitis who have detectable urinary aflatoxin metabolite M1. Hepatology. 30(2). 379–383. 161 indexed citations
14.
Gail, Mitchell H., David Pee, Jacques Bénichou, & Raymond J. Carroll. (1999). Designing studies to estimate the penetrance of an identified autosomal dominant mutation: Cohort, case-control, and genotyped-proband designs. Genetic Epidemiology. 16(1). 15–39. 46 indexed citations
15.
Wacholder, Sholom, et al.. (1994). The partial questionnaire design for case‐control studies. Statistics in Medicine. 13(5-7). 623–634. 37 indexed citations
17.
Basu, Tapan K., et al.. (1991). Biochemical Status of Vitamin A in Colorectal Cancer.. Journal of Clinical Biochemistry and Nutrition. 10(1). 65–70. 1 indexed citations
18.
Pee, David & Laurence S. Freedman. (1990). A stratified Wilcoxon‐type test for trend. Statistics in Medicine. 9(7). 829–834. 7 indexed citations
19.
Freedman, Laurence S. & David Pee. (1989). Return to a Note on Screening Regression Equations. The American Statistician. 43(4). 279–282. 43 indexed citations
20.
Wacholder, Sholom, Mitchell H. Gail, David Pee, & Ron Brookmeyer. (1989). Alternative Variance and Efficiency Calculations for the Case-Cohort Design. Biometrika. 76(1). 117–117. 3 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026