Ross L. Prentice
- Statistics and Probability top 0.01%
- Statistical Methods and Inference 56
- Statistical Methods and Bayesian Inference 53
- Statistical Methods in Clinical Trials 42
- Oncology top 0.2%
- Cancer Risks and Factors 51
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- Menopause: Health Impacts and Treatments 35
- Hematology top 0.2%
- Genetics top 0.1%
- Estrogen and related hormone effects 43
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- Nutritional Studies and Diet 102
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- Diet and metabolism studies 47
- Co-authors
- John D. KalbfleischMurray AitkinArthur V. PetersonJoAnn E. MansonN. E. BreslowGarnet L. AndersonRonald PykeMarcia L. Stefanick
- Partner nations
- United StatesSouth AfricaCanada
In The Last Decade
Ross L. Prentice
377 papers receiving 40.1k citations
Hit Papers
Peers
Comparison fields: 5 of 226
- Statistics and Probability 10.5k
- Oncology 6.6k
- Endocrinology, Diabetes and Metabolism 3.9k
- Hematology 2.6k
- Genetics 6.2k
Countries citing papers authored by Ross L. Prentice
This map shows the geographic impact of Ross L. Prentice'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 Ross L. Prentice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ross L. Prentice more than expected).
Fields of papers citing papers by Ross L. Prentice
This network shows the impact of papers produced by Ross L. Prentice. 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 Ross L. Prentice. The network helps show where Ross L. Prentice may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ross L. Prentice, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 13 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 7 | |
| 9 | 2018 | 28 | |
| 10 | 2015 | 38 | |
| 11 | 2015 | 193 | |
| 12 | 2014 | 41 | |
| 13 | 2014 | 32 | |
| 14 | 2012 | 56 | |
| 15 | 2012 | 26 | |
| 16 | 2012 | 79 | |
| 17 | 2011 | 25 | |
| 18 | 2010 | 36 | |
| 19 | The Statistical Analysis of Failure Time Databreakdown → | 2002 | 2266 |
| 20 | RECALIBRATION BASED ON AN APPROXIMATE RELATIVE RISK ESTIMATOR IN COX REGRESSION WITH MISSING COVARIATES | 2001 | 9 |
About Ross L. Prentice
Ross L. Prentice is a scholar working on Statistics and Probability, Public Health, Environmental and Occupational Health, Genetics, Physiology and Endocrinology, Diabetes and Metabolism, having authored 383 papers that have together received 42.9k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (102 papers), Statistical Methods and Inference (56 papers), Statistical Methods and Bayesian Inference (53 papers), Cancer Risks and Factors (51 papers), Diet and metabolism studies (47 papers), Estrogen and related hormone effects (43 papers), Statistical Methods in Clinical Trials (42 papers) and Menopause: Health Impacts and Treatments (35 papers). The work is most often cited by research in Statistics and Probability (10.5k citations), Oncology (6.6k citations), Endocrinology, Diabetes and Metabolism (3.9k citations), Hematology (2.6k citations) and Genetics (6.2k citations). Ross L. Prentice has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include John D. Kalbfleisch, Murray Aitkin, Arthur V. Peterson, JoAnn E. Manson, N. E. Breslow, Garnet L. Anderson, Ronald Pyke, Marcia L. Stefanick, Nancy Flournoy and Marian L. Neuhouser. Their work appears in journals such as Biometrika, Biometrics, American Journal of Epidemiology, American Journal of Clinical Nutrition and Journal of 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.