David Tritchler
Impact in
- Oncology top 1%
- Global Cancer Incidence and Screening
- Cancer Risks and Factors
- Cancer Research top 2%
- Breast Cancer Treatment Studies
Papers in
- Oncology 23
- Global Cancer Incidence and Screening 14
- Cancer Risks and Factors 13
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- Bayesian Methods and Mixture Models 7
- Co-authors
- Martin J. Yaffe (17 shared papers)Norman F. Boyd (18 shared papers)Gina Lockwood (14 shared papers)J W Byng (9 shared papers)N F Boyd (9 shared papers)L Little (6 shared papers)Heather J. Sutherland (4 shared papers)Roberta A. Jong (5 shared papers)
- Journals
- Journal of the American Statistical Association (6 papers)Statistical Applications in Genetics and Molecular Biology (4 papers)Biometrics (4 papers)JNCI Journal of the National Cancer Institute (3 papers)Genetic Epidemiology (3 papers)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
David Tritchler
84 papers receiving 5.4k citations
David Tritchler's Hit Papers
Peers
Comparison fields: 5 of 174
- Oncology 2.2k
- Cancer Research 1.0k
- Pulmonary and Respiratory Medicine 2.1k
- Artificial Intelligence 1.4k
- Pathology and Forensic Medicine 725
Countries citing papers authored by David Tritchler
This map shows the geographic impact of David Tritchler'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 Tritchler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Tritchler more than expected).
Fields of papers citing papers by David Tritchler
This network shows the impact of papers produced by David Tritchler. 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 Tritchler. The network helps show where David Tritchler may publish in the future.
Co-authors
The 25 scholars most cited alongside David Tritchler, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Quantitative Classification of Mammographic Densities and Breast Cancer Risk: Results From the Canadian National Breast Screening Study Hit paper breakdown → | 1995 | 868 |
| 2 | Mammographic densities and breast cancer risk. Hit paper breakdown → | 1998 | 651 |
| 3 | 2002 | 458 | |
| 4 | 1989 | 383 | |
| 5 | 1990 | 311 | |
| 6 | 1998 | 194 | |
| 7 | 1997 | 189 | |
| 8 | 1989 | 170 | |
| 9 | The risk of breast cancer associated with mammographic parenchymal patterns: a meta-analysis of the published literature to examine the effect of method of classification. | 1992 | 164 |
| 10 | 2016 | 151 | |
| 11 | 1998 | 112 | |
| 12 | 1998 | 111 | |
| 13 | 1997 | 94 | |
| 14 | 2017 | 92 | |
| 15 | 1983 | 83 | |
| 16 | 1994 | 82 | |
| 17 | 1988 | 76 | |
| 18 | 1985 | 75 | |
| 19 | 1999 | 74 | |
| 20 | 1990 | 68 |
About David Tritchler
David Tritchler is a scholar working on Oncology, Artificial Intelligence, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Genetics, having authored 84 papers that have together received 5.6k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (14 papers), Cancer Risks and Factors (13 papers), Digital Radiography and Breast Imaging (11 papers), Gene expression and cancer classification (9 papers), Nutritional Studies and Diet (8 papers), Bioinformatics and Genomic Networks (8 papers), Bayesian Methods and Mixture Models (7 papers) and Genetic Associations and Epidemiology (6 papers). The work is most often cited by research in Oncology (2.2k citations), Cancer Research (1.0k citations), Pulmonary and Respiratory Medicine (2.1k citations), Artificial Intelligence (1.4k citations) and Pathology and Forensic Medicine (725 citations). David Tritchler has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Martin J. Yaffe, Norman F. Boyd, Gina Lockwood, J W Byng, N F Boyd, L Little, Heather J. Sutherland, Roberta A. Jong, E Fishell and J. E. Till. Their work appears in journals such as Journal of the American Statistical Association, Statistical Applications in Genetics and Molecular Biology, Biometrics, JNCI Journal of the National Cancer Institute and Genetic Epidemiology.
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.