D. Pee
Impact in
Papers in
- Genetics 11
- BRCA gene mutations in cancer 7
- Genetic Associations and Epidemiology 5
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- Statistical Methods and Bayesian Inference 4
- Statistical Methods and Inference 4
- Co-authors
- Mitchell H. Gail (12 shared papers)Joseph P. Costantino (2 shared papers)H. Samuel Wieand (1 shared paper)Carol Redmond (1 shared paper)Stewart Anderson (1 shared paper)Jacques Bénichou (1 shared paper)Gladys Block (1 shared paper)B H Patterson (1 shared paper)
- Journals
- JNCI Journal of the National Cancer Institute (5 papers)Annals of Human Genetics (2 papers)Journal of the American Statistical Association (2 papers)American Journal of Epidemiology (2 papers)American Journal of Clinical Nutrition (1 paper)
- Partner nations
- United StatesItalyIndia
In The Last Decade
D. Pee
22 papers receiving 1.6k citations
D. Pee's Hit Papers
Peers
Comparison fields: 5 of 123
- Genetics 794
- Oncology 773
- Cancer Research 302
- Statistics and Probability 81
- Pathology and Forensic Medicine 169
Countries citing papers authored by D. Pee
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
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-authors
The 25 scholars most cited alongside D. 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Validation Studies for Models Projecting the Risk of Invasive and Total Breast Cancer Incidence Hit paper breakdown → | 1999 | 564 |
| 2 | 2007 | 258 | |
| 3 | 1990 | 212 | |
| 4 | 1998 | 91 | |
| 5 | 1999 | 76 | |
| 6 | 2011 | 70 | |
| 7 | 1988 | 67 | |
| 8 | Application of DNA fingerprints for cell-line individualization. | 1990 | 66 |
| 9 | 2001 | 36 | |
| 10 | 1992 | 34 | |
| 11 | Reproducibility studies and interlaboratory concordance for assays of serum hormone levels: estrone, estradiol, estrone sulfate, and progesterone. | 1996 | 33 |
| 12 | 1997 | 30 | |
| 13 | 1999 | 29 | |
| 14 | 2004 | 29 | |
| 15 | 1985 | 28 | |
| 16 | 2007 | 27 | |
| 17 | 1991 | 16 | |
| 18 | 2013 | 14 | |
| 19 | 2008 | 9 | |
| 20 | 1992 | 8 |
About D. Pee
D. Pee is a scholar working on Genetics, Statistics and Probability, Molecular Biology, Oncology and Cancer Research, having authored 23 papers that have together received 1.7k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (7 papers), Genetic Associations and Epidemiology (5 papers), Statistical Methods and Bayesian Inference (4 papers), Statistical Methods and Inference (4 papers), Cancer Genomics and Diagnostics (3 papers), Global Cancer Incidence and Screening (3 papers), Cancer Risks and Factors (3 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). The work is most often cited by research in Genetics (794 citations), Oncology (773 citations), Cancer Research (302 citations), Statistics and Probability (81 citations) and Pathology and Forensic Medicine (169 citations). D. Pee has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Mitchell H. Gail, Joseph P. Costantino, H. Samuel Wieand, Carol Redmond, Stewart Anderson, Jacques Bénichou, Gladys Block, B H Patterson, W. Rosenberger and Lisa Kahle. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Annals of Human Genetics, Journal of the American Statistical Association, American Journal of Epidemiology and American Journal of Clinical Nutrition.
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.