David P. Byar
Impact in
- Statistics and Probability top 0.2%
- Statistical Methods in Clinical Trials
- Genetics top 0.5%
- BRCA gene mutations in cancer
- Glioma Diagnosis and Treatment
Papers in
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- Statistical Methods in Clinical Trials 28
- Statistical Methods and Inference 16
- Statistical Methods and Bayesian Inference 13
- Advanced Causal Inference Techniques 10
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- Prostate Cancer Treatment and Research 16
- Prostate Cancer Diagnosis and Treatment 10
- Co-authors
- Donald K. CorleLouise A. BrintonSylvan B. GreenJohn J. MulvihillNathan MantelPaolo BruzziCatherine SchairerSteven T. Piantadosi
- Journals
- Statistics in Medicine (9 papers)Cancer (8 papers)Urology (7 papers)Biometrics (7 papers)Controlled Clinical Trials (6 papers)
- Partner nations
- United StatesFranceBelgium
In The Last Decade
David P. Byar
97 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Statistics and Probability 1.5k
- Genetics 1.1k
- Oncology 2.5k
- Cancer Research 1.2k
- Pulmonary and Respiratory Medicine 2.5k
Countries citing papers authored by David P. Byar
This map shows the geographic impact of David P. Byar'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 P. Byar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David P. Byar more than expected).
Fields of papers citing papers by David P. Byar
This network shows the impact of papers produced by David P. Byar. 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 P. Byar. The network helps show where David P. Byar may publish in the future.
Co-authors
The 25 scholars most cited alongside David P. Byar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 52 | |
| 2 | 1994 | 8 | |
| 3 | 1993 | 22 | |
| 4 | 1990 | 104 | |
| 5 | 1990 | 40 | |
| 6 | 1989 | 12 | |
| 7 | 1989 | 18 | |
| 8 | 1988 | 13 | |
| 9 | 1988 | 44 | |
| 10 | 1988 | 3 | |
| 11 | 1985 | 2 | |
| 12 | Status report of 376 mycosis fungoides patients at 4 years: Mycosis Fungoides Cooperative Group. | 1979 | 50 |
| 13 | 1979 | 51 | |
| 14 | 1976 | 9 | |
| 15 | 1974 | 41 | |
| 16 | 1974 | 9 | |
| 17 | 1973 | 2 | |
| 18 | 1972 | 89 | |
| 19 | 1972 | 30 | |
| 20 | 1970 | 190 |
About David P. Byar
David P. Byar is a scholar working on Statistics and Probability, Pulmonary and Respiratory Medicine, Cancer Research, Statistics, Probability and Uncertainty and Endocrinology, Diabetes and Metabolism, having authored 98 papers that have together received 10.8k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (28 papers), Statistical Methods and Inference (16 papers), Prostate Cancer Treatment and Research (16 papers), Statistical Methods and Bayesian Inference (13 papers), Prostate Cancer Diagnosis and Treatment (10 papers), Advanced Causal Inference Techniques (10 papers), Hormonal and reproductive studies (8 papers) and Health Systems, Economic Evaluations, Quality of Life (7 papers). The work is most often cited by research in Statistics and Probability (1.5k citations), Genetics (1.1k citations), Oncology (2.5k citations), Cancer Research (1.2k citations) and Pulmonary and Respiratory Medicine (2.5k citations). David P. Byar has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Donald K. Corle, Louise A. Brinton, Sylvan B. Green, John J. Mulvihill, Nathan Mantel, Paolo Bruzzi, Catherine Schairer, Steven T. Piantadosi, F. K. Mostofi and Clyde E. Blackard. Their work appears in journals such as Statistics in Medicine, Cancer, Urology, Biometrics and Controlled Clinical Trials.
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.