Mitchell H. Gail
Impact in
- Statistics and Probability top 0.05%
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Oncology top 0.2%
- Cancer Risks and Factors
- Global Cancer Incidence and Screening
Papers in
-
- Statistical Methods in Clinical Trials 51
- Statistical Methods and Inference 40
- Statistical Methods and Bayesian Inference 35
- Advanced Causal Inference Techniques 35
- Oncology 79
- Cancer Risks and Factors 42
- Global Cancer Incidence and Screening 38
- Co-authors
- Barry I. GraubardRuth M. PfeifferKatherine M. FlegalDavid PeeDavid F. WilliamsonRon BrookmeyerJay H. LubinJames J. Goedert
- Journals
- JNCI Journal of the National Cancer Institute (36 papers)Biometrics (26 papers)Statistics in Medicine (22 papers)Biometrika (15 papers)Journal of the American Statistical Association (13 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Mitchell H. Gail
331 papers receiving 23.0k citations
Hit Papers
Peers
Comparison fields: 5 of 212
- Statistics and Probability 3.6k
- Oncology 5.5k
- Virology 755
- Genetics 4.0k
- Biochemistry 864
Countries citing papers authored by Mitchell H. Gail
This map shows the geographic impact of Mitchell H. Gail'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 Mitchell H. Gail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell H. Gail more than expected).
Fields of papers citing papers by Mitchell H. Gail
This network shows the impact of papers produced by Mitchell H. Gail. 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 Mitchell H. Gail. The network helps show where Mitchell H. Gail may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mitchell H. Gail, 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 | 2025 | 0 | |
| 2 | 2022 | 3 | |
| 3 | 2019 | 7 | |
| 4 | 2019 | 30 | |
| 5 | 2019 | 53 | |
| 6 | 2019 | 16 | |
| 7 | 2018 | 10 | |
| 8 | 2017 | 9 | |
| 9 | 2016 | 28 | |
| 10 | 2016 | 92 | |
| 11 | 2014 | 115 | |
| 12 | 2014 | 11 | |
| 13 | 2012 | 21 | |
| 14 | 2002 | 2 | |
| 15 | 2001 | 286 | |
| 16 | 2000 | 9 | |
| 17 | 1998 | 47 | |
| 18 | 1996 | 16 | |
| 19 | 1990 | 20 | |
| 20 | The Minimum Size of the AIDS Epidemic in the United States | 1986 | 12 |
About Mitchell H. Gail
Mitchell H. Gail is a scholar working on Statistics and Probability, Oncology, Genetics, Virology and Statistics, Probability and Uncertainty, having authored 338 papers that have together received 24.1k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (51 papers), Cancer Risks and Factors (42 papers), Statistical Methods and Inference (40 papers), Global Cancer Incidence and Screening (38 papers), BRCA gene mutations in cancer (36 papers), Statistical Methods and Bayesian Inference (35 papers), Advanced Causal Inference Techniques (35 papers) and Genetic Associations and Epidemiology (33 papers). The work is most often cited by research in Statistics and Probability (3.6k citations), Oncology (5.5k citations), Virology (755 citations), Genetics (4.0k citations) and Biochemistry (864 citations). Mitchell H. Gail has collaborated with scholars based in United States, China and France. Frequent co-authors include Barry I. Graubard, Ruth M. Pfeiffer, Katherine M. Flegal, David Pee, David F. Williamson, Ron Brookmeyer, Jay H. Lubin, James J. Goedert, Richard Simon and Steven Piantadosi. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Biometrics, Statistics in Medicine, Biometrika and Journal of the American Statistical Association.
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.