D. Pee
Impact in
Papers in
- Genetics 9
- BRCA gene mutations in cancer 5
- Genetic Associations and Epidemiology 4
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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)Lisa Kahle (1 shared paper)W. Rosenberger (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)International Journal of Gynecology & Obstetrics (1 paper)
- Partner nations
- United StatesMalaysiaIndia
In The Last Decade
D. Pee
23 papers receiving 1.7k citations
D. Pee's Hit Papers
Peers
Comparison fields: 5 of 122
- Genetics 658
- Oncology 517
- Cancer Research 217
- Statistics and Probability 84
- Pathology and Forensic Medicine 139
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 | 590 |
| 2 | 2007 | 269 | |
| 3 | 1990 | 229 | |
| 4 | 1998 | 95 | |
| 5 | Application of DNA fingerprints for cell-line individualization. | 1990 | 82 |
| 6 | 1999 | 80 | |
| 7 | 2011 | 75 | |
| 8 | 1988 | 68 | |
| 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 | 1985 | 32 | |
| 13 | 1999 | 32 | |
| 14 | 1997 | 31 | |
| 15 | 2004 | 29 | |
| 16 | 2007 | 28 | |
| 17 | 1991 | 19 | |
| 18 | 2013 | 15 | |
| 19 | 2008 | 9 | |
| 20 | 1992 | 9 |
About D. Pee
D. Pee is a scholar working on Genetics, Statistics and Probability, Molecular Biology, Pediatrics, Perinatology and Child Health and Artificial Intelligence, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (5 papers), Statistical Methods and Bayesian Inference (4 papers), Statistical Methods and Inference (4 papers), Genetic Associations and Epidemiology (4 papers), Cancer Genomics and Diagnostics (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers), Bayesian Methods and Mixture Models (2 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper). The work is most often cited by research in Genetics (658 citations), Oncology (517 citations), Cancer Research (217 citations), Statistics and Probability (84 citations) and Pathology and Forensic Medicine (139 citations). D. Pee has collaborated with scholars based in United States, Malaysia and India. Frequent co-authors include Mitchell H. Gail, Joseph P. Costantino, H. Samuel Wieand, Carol Redmond, Stewart Anderson, Jacques Bénichou, Lisa Kahle, W. Rosenberger, Gladys Block and B H Patterson. 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 International Journal of Gynecology & Obstetrics.
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.