D. Pee
Impact in
Papers in
- Co-authors
- Mitchell H. Gail (12 shared papers)Joseph P. Costantino (2 shared papers)H. Samuel Wieand (1 shared paper)Stewart Anderson (1 shared paper)Jacques Bénichou (1 shared paper)Carol K. Redmond (1 shared paper)Lisa Kahle (1 shared paper)Gladys Block (1 shared paper)
- Journals
- JNCI Journal of the National Cancer Institute (5 papers)Statistics in Medicine (2 papers)American Journal of Epidemiology (2 papers)Annals of Human Genetics (2 papers)Biometrika (1 paper)
- Partner nations
- United StatesItalyFrance
In The Last Decade
D. Pee
22 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 76
- Genetics 373
- Oncology 205
- Nutrition and Dietetics 76
- Statistics and Probability 52
- Public Health, Environmental and Occupational Health 108
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 | 1999 | 618 | |
| 2 | 2007 | 287 | |
| 3 | 1990 | 233 | |
| 4 | 1998 | 114 | |
| 5 | 1999 | 88 | |
| 6 | Application of DNA fingerprints for cell-line individualization. | 1990 | 85 |
| 7 | 2011 | 80 | |
| 8 | 1988 | 69 | |
| 9 | 2001 | 38 | |
| 10 | Reproducibility studies and interlaboratory concordance for assays of serum hormone levels: estrone, estradiol, estrone sulfate, and progesterone. | 1996 | 36 |
| 11 | 1985 | 33 | |
| 12 | 1992 | 32 | |
| 13 | 1997 | 32 | |
| 14 | 1999 | 31 | |
| 15 | 2004 | 29 | |
| 16 | 2007 | 28 | |
| 17 | 1991 | 20 | |
| 18 | 2013 | 14 | |
| 19 | 1992 | 9 | |
| 20 | 2008 | 9 |
About D. Pee
D. Pee is a scholar working on Genetics, Oncology, Infectious Diseases, Statistics and Probability and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), HIV/AIDS Research and Interventions (2 papers), BRCA gene mutations in cancer (2 papers), Cancer Risks and Factors (1 paper), Global Cancer Incidence and Screening (1 paper), Clinical Nutrition and Gastroenterology (1 paper), Forensic and Genetic Research (1 paper) and Nutritional Studies and Diet (1 paper). The work is most often cited by research in Genetics (373 citations), Oncology (205 citations), Nutrition and Dietetics (76 citations), Statistics and Probability (52 citations) and Public Health, Environmental and Occupational Health (108 citations). D. Pee has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Mitchell H. Gail, Joseph P. Costantino, H. Samuel Wieand, Stewart Anderson, Jacques Bénichou, Carol K. Redmond, Lisa Kahle, Gladys Block, B H Patterson and Ruth Pfieffer. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Statistics in Medicine, American Journal of Epidemiology, Annals of Human Genetics and Biometrika.
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.