N. E. Breslow
Impact in
- Statistics and Probability top 0.01%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Statistical Distribution Estimation and Applications
- Oncology top 0.5%
Papers in
-
- Statistical Methods and Bayesian Inference 18
- Statistical Methods and Inference 16
- Advanced Causal Inference Techniques 11
- Statistical Methods in Clinical Trials 8
-
- Renal and related cancers 33
- Co-authors
- N. E. Day (4 shared papers)David G Clayton (2 shared papers)David Roxbee Cox (2 shared papers)David Oakes (1 shared paper)Peter G. Smith (3 shared papers)P. Armitage (2 shared papers)Nathan Mantel (3 shared papers)Julian Peto (3 shared papers)
- Journals
- Biometrics (14 papers)Journal of Clinical Oncology (13 papers)American Journal of Epidemiology (6 papers)Journal of the American Statistical Association (6 papers)JNCI Journal of the National Cancer Institute (5 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
N. E. Breslow
110 papers receiving 39.3k citations
N. E. Breslow's Hit Papers
Peers
Comparison fields: 5 of 224
- Statistics and Probability 8.4k
- Oncology 4.8k
- Pathology and Forensic Medicine 2.9k
- Pulmonary and Respiratory Medicine 4.7k
- Statistics, Probability and Uncertainty 1.1k
Countries citing papers authored by N. E. Breslow
This map shows the geographic impact of N. E. Breslow'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 N. E. Breslow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. E. Breslow more than expected).
Fields of papers citing papers by N. E. Breslow
This network shows the impact of papers produced by N. E. Breslow. 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 N. E. Breslow. The network helps show where N. E. Breslow may publish in the future.
Co-authors
The 25 scholars most cited alongside N. E. Breslow, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Design and analysis of randomized clinical trials requiring prolonged observation of each patient. II. Analysis and examples Hit paper breakdown → | 1977 | 7738 |
| 2 | Statistical Methods in Cancer Research Hit paper breakdown → | 1980 | 6263 |
| 3 | Statistical methods in cancer research. Volume I - The analysis of case-control studies. Hit paper breakdown → | 1980 | 4563 |
| 4 | Analysis of Survival Data. Hit paper breakdown → | 1985 | 3740 |
| 5 | Approximate Inference in Generalized Linear Mixed Models Hit paper breakdown → | 1993 | 3329 |
| 6 | Design and analysis of randomized clinical trials requiring prolonged observation of each patient. I. Introduction and design Hit paper breakdown → | 1976 | 1873 |
| 7 | Approximate Inference in Generalized Linear Mixed Models Hit paper breakdown → | 1993 | 1412 |
| 8 | Covariance Analysis of Censored Survival Data Hit paper breakdown → | 1974 | 1320 |
| 9 | The Analysis of Failure Times in the Presence of Competing Risks Hit paper breakdown → | 1978 | 1231 |
| 10 | Statistical Methods in Cancer Research, Vol. II: The Design and Analysis of Cohort Studies. Hit paper breakdown → | 1990 | 593 |
| 11 | Statistical Methods in Cancer Research. Vol. 1: The Analysis of Case-Control Studies Hit paper breakdown → | 1981 | 591 |
| 12 | 1984 | 581 | |
| 13 | 1974 | 524 | |
| 14 | 1983 | 478 | |
| 15 | Latent carcinoma of prostate at autopsy in seven areas. Collaborative study organized by the International Agency for Research on Cancer, Lyons, France Hit paper breakdown → | 1977 | 472 |
| 16 | 1975 | 464 | |
| 17 | 1981 | 375 | |
| 18 | 1978 | 362 | |
| 19 | 1995 | 358 | |
| 20 | 1978 | 335 |
About N. E. Breslow
N. E. Breslow is a scholar working on Statistics and Probability, Molecular Biology, Pathology and Forensic Medicine, Demography and Pediatrics, Perinatology and Child Health, having authored 112 papers that have together received 42.6k indexed citations. Recurring topics across this work include Renal and related cancers (33 papers), Statistical Methods and Bayesian Inference (18 papers), Statistical Methods and Inference (16 papers), Advanced Causal Inference Techniques (11 papers), Statistical Methods in Clinical Trials (8 papers), Insurance, Mortality, Demography, Risk Management (8 papers), Tumors and Oncological Cases (8 papers) and Health Systems, Economic Evaluations, Quality of Life (7 papers). The work is most often cited by research in Statistics and Probability (8.4k citations), Oncology (4.8k citations), Pathology and Forensic Medicine (2.9k citations), Pulmonary and Respiratory Medicine (4.7k citations) and Statistics, Probability and Uncertainty (1.1k citations). N. E. Breslow has collaborated with scholars based in United States, France and Germany. Frequent co-authors include N. E. Day, David G Clayton, David Roxbee Cox, David Oakes, Peter G. Smith, P. Armitage, Nathan Mantel, Julian Peto, Richard Peto and M. C. Pike. Their work appears in journals such as Biometrics, Journal of Clinical Oncology, American Journal of Epidemiology, Journal of the American Statistical Association and JNCI Journal of the National Cancer Institute.
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.