D. Pee

2.3k total citations · 1 hit paper
23 papers, 1.7k citations indexed

About

D. Pee is a scholar working on Genetics, Statistics and Probability and Molecular Biology. According to data from OpenAlex, D. Pee has authored 23 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 6 papers in Statistics and Probability and 4 papers in Molecular Biology. Recurrent topics in D. Pee's work include BRCA gene mutations in cancer (7 papers), Genetic Associations and Epidemiology (5 papers) and Statistical Methods and Bayesian Inference (4 papers). D. Pee is often cited by papers focused on BRCA gene mutations in cancer (7 papers), Genetic Associations and Epidemiology (5 papers) and Statistical Methods and Bayesian Inference (4 papers). D. Pee collaborates with scholars based in United States, Malaysia and Italy. D. Pee's co-authors include Mitchell H. Gail, Joseph P. Costantino, H. Samuel Wieand, Jacques Bénichou, Carol Redmond, Stewart Anderson, Lisa Kahle, W. Rosenberger, Gladys Block and B H Patterson and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and American Journal of Clinical Nutrition.

In The Last Decade

D. Pee

22 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Validation Studies for Models Projecting the Risk of Invasive and Total Breast Cancer Incidence

1999 564 citations Joseph P. Costantino, Mitchell H. Gail et al. JNCI Journal of the National Cancer Institute profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Pee United States	17	794	773	302	247	234	23	1.7k
Edward D. Lustbader United States	27	855 1.1×	825 1.1×	266 0.9×	505 2.0×	268 1.1×	55	2.7k
Gabriela Torres-Mejı́a Mexico	25	397 0.5×	745 1.0×	333 1.1×	300 1.2×	392 1.7×	82	1.7k
Rosemary B. Duda United States	23	472 0.6×	649 0.8×	651 2.2×	497 2.0×	188 0.8×	53	2.5k
Kate Walker United Kingdom	24	393 0.5×	639 0.8×	175 0.6×	302 1.2×	145 0.6×	84	1.8k
Shu Yuasa Japan	11	482 0.6×	1.1k 1.5×	295 1.0×	182 0.7×	199 0.9×	29	1.7k
Louise Wideroff United States	26	738 0.9×	643 0.8×	320 1.1×	637 2.6×	326 1.4×	39	2.6k
Philip Strax United States	20	655 0.8×	1.7k 2.3×	513 1.7×	141 0.6×	200 0.9×	51	2.6k
David Pee United States	27	538 0.7×	1.1k 1.5×	372 1.2×	396 1.6×	428 1.8×	48	3.5k
Linda K. Weiss United States	30	559 0.7×	1.6k 2.0×	614 2.0×	530 2.1×	535 2.3×	53	3.1k
Jennifer D. Brooks Canada	26	486 0.6×	571 0.7×	495 1.6×	335 1.4×	86 0.4×	89	2.1k

Countries citing papers authored by D. Pee

Since Specialization

Citations

This map shows the geographic impact of D. 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 D. Pee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Pee more than expected).

Fields of papers citing papers by D. Pee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. 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 D. Pee. The network helps show where D. Pee may publish in the future.

Co-authorship network of co-authors of D. Pee

This figure shows the co-authorship network connecting the top 25 collaborators of D. Pee. A scholar is included among the top collaborators of D. 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 D. Pee. D. Pee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gail, Mitchell H., Tony Sheehy, Marco Cosentino, et al.. (2013). Maximizing DNA Yield for Epidemiologic Studies: No More Buffy Coats?. American Journal of Epidemiology. 178(7). 1170–1176. 14 indexed citations

Petracci, Elisabetta, Adriano Decarli, Catherine Schairer, et al.. (2011). Risk Factor Modification and Projections of Absolute Breast Cancer Risk. JNCI Journal of the National Cancer Institute. 103(13). 1037–1048. 70 indexed citations

Gail, Mitchell H., Ruth M. Pfeiffer, William Wheeler, & D. Pee. (2008). Probability that a Two‐Stage Genome‐Wide Association Study will Detect a Disease‐Associated SNP and Implications for Multistage Designs. Annals of Human Genetics. 72(6). 812–820. 9 indexed citations

Gail, Mitchell H., Ruth M. Pfeiffer, William Wheeler, & D. Pee. (2007). Probability of detecting disease-associated single nucleotide polymorphisms in case-control genome-wide association studies. Biostatistics. 9(2). 201–215. 27 indexed citations

Gail, Mitchell H., Joseph P. Costantino, D. Pee, et al.. (2007). Projecting Individualized Absolute Invasive Breast Cancer Risk in African American Women. JNCI Journal of the National Cancer Institute. 99(23). 1782–1792. 258 indexed citations

Pfeiffer, Ruth M., Lynn R. Goldin, Nilanjan Chatterjee, et al.. (2004). Methods for testing familial aggregation of diseases in population‐based samples: application to hodgkin lymphoma in swedish registry data. Annals of Human Genetics. 68(5). 498–508. 29 indexed citations

Gail, Mitchell H., D. Pee, & Raymond J. Carroll. (1999). Kin-Cohort Designs for Gene Characterization. JNCI Monographs. 1999(26). 55–60. 29 indexed citations

Lee, Jun Sung, Sholom Wacholder, Jeffery P. Struewing, et al.. (1999). Survival After Breast Cancer in Ashkenazi Jewish BRCA1 and BRCA2 Mutation Carriers. JNCI Journal of the National Cancer Institute. 91(3). 259–263. 76 indexed citations

Costantino, Joseph P., Mitchell H. Gail, D. Pee, et al.. (1999). Validation Studies for Models Projecting the Risk of Invasive and Total Breast Cancer Incidence. JNCI Journal of the National Cancer Institute. 91(18). 1541–1548. 564 indexed citations breakdown →

10.

Wacholder, Sholom, Patricia Hartge, Jeffery P. Struewing, et al.. (1998). The Kin-Cohort Study for Estimating Penetrance. American Journal of Epidemiology. 148(7). 623–630. 91 indexed citations

11.

Gail, Mitchell H., Wai‐Yuan Tan, D. Pee, & James J. Goedert. (1997). Survival After AIDS Diagnosis in a Cohort of Hemophilia Patients. Journal of Acquired Immune Deficiency Syndromes & Human Retrovirology. 15(5). 363–369. 5 indexed citations

12.

Carroll, Raymond J., D. Pee, Laurence S. Freedman, & C. C. Brown. (1997). Statistical design of calibration studies. American Journal of Clinical Nutrition. 65(4). 1187S–1189S. 30 indexed citations

13.

Gail, Mitchell H., Thomas R. Fears, Robert N. Hoover, et al.. (1996). Reproducibility studies and interlaboratory concordance for assays of serum hormone levels: estrone, estradiol, estrone sulfate, and progesterone.. PubMed. 5(10). 835–44. 33 indexed citations

14.

Byrne, Jenny, et al.. (1992). Early menopause in long-term survivors of cancer during adolescence. International Journal of Gynecology & Obstetrics. 39(3). 252–252. 8 indexed citations

15.

Freedman, L. S., D. Pee, & Douglas N. Midthune. (1992). The Problem of Underestimating the Residual Error Variance in Forward Stepwise Regression. Journal of the Royal Statistical Society Series D (The Statistician). 41(4). 405–405. 34 indexed citations

16.

Rosenberg, Philip S., Mitchell H. Gail, & D. Pee. (1991). Mean square error of estimates of HIV prevalence and short‐term aids projections derived by backcalculation. Statistics in Medicine. 10(8). 1167–1180. 16 indexed citations

17.

Patterson, B H, Gladys Block, W. Rosenberger, D. Pee, & Lisa Kahle. (1990). Fruit and vegetables in the American diet: data from the NHANES II survey.. American Journal of Public Health. 80(12). 1443–1449. 212 indexed citations

18.

Gail, Mitchell H., Larry R. Muenz, K. Robert McIntire, et al.. (1988). Multiple Markers for Lung Cancer Diagnosis: Validation of Models for Localized Lung Cancer. JNCI Journal of the National Cancer Institute. 80(2). 97–101. 67 indexed citations

19.

Wei, L. J. & D. Pee. (1985). Distribution-Free Methods of Estimating Location Difference With Censored Paired Data. Journal of the American Statistical Association. 80(390). 405–405.

20.

Wei, L. J. & D. Pee. (1985). Distribution-Free Methods of Estimating Location Difference with Censored Paired Data. Journal of the American Statistical Association. 80(390). 405–410. 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.

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