Teresa C. Prevost
- Oncology top 10%
- Global Cancer Incidence and Screening 8
- Colorectal Cancer Screening and Detection 3
- Cancer Risks and Factors 2
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference 3
- Statistical Methods and Inference 2
- Internal Medicine top 10%
-
- Urinary and Genital Oncology Studies 3
- Bladder and Urothelial Cancer Treatments 2
-
- BRCA gene mutations in cancer 2
- Co-authors
- Chien‐Jen ChenStephen W. DuffyBedrich VitákKeith R. AbramsDavid R. JonesNicholas DayA WilminkH A Ashton
- Partner nations
- United KingdomTaiwanSweden
In The Last Decade
Teresa C. Prevost
22 papers receiving 853 citations
Peers
Comparison fields: 5 of 79
- Oncology 339
- Statistics and Probability 74
- Cancer Research 131
- Pulmonary and Respiratory Medicine 275
- Internal Medicine 30
Countries citing papers authored by Teresa C. Prevost
This map shows the geographic impact of Teresa C. Prevost'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 Teresa C. Prevost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teresa C. Prevost more than expected).
Fields of papers citing papers by Teresa C. Prevost
This network shows the impact of papers produced by Teresa C. Prevost. 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 Teresa C. Prevost. The network helps show where Teresa C. Prevost may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Teresa C. Prevost, 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 | 2015 | 20 | |
| 2 | 2012 | 34 | |
| 3 | 2011 | 1 | |
| 4 | 2010 | 88 | |
| 5 | 2009 | 1 | |
| 6 | 2003 | 10 | |
| 7 | 2003 | 6 | |
| 8 | Breast cancer, reported dietary intakes and dietary biomarkers : A case-control study in Gujarat, India | 2003 | 1 |
| 9 | 2001 | 7 | |
| 10 | Some random-effects models for the analysis of matched-cluster randomised trials: application to the Swedish two-county trial of breast-cancer screening. | 2000 | 21 |
| 11 | 2000 | 32 | |
| 12 | 2000 | 102 | |
| 13 | 1999 | 182 | |
| 14 | 1999 | 5 | |
| 15 | 1999 | 14 | |
| 16 | 1999 | 56 | |
| 17 | 1999 | 41 | |
| 18 | 1998 | 140 | |
| 19 | 1998 | 63 | |
| 20 | 1998 | 11 |
About Teresa C. Prevost
Teresa C. Prevost is a scholar working on Statistics and Probability, Oncology and Internal Medicine, having authored 22 papers that have together received 880 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (8 papers), Statistical Methods and Bayesian Inference (3 papers), Colorectal Cancer Screening and Detection (3 papers), Urinary and Genital Oncology Studies (3 papers), BRCA gene mutations in cancer (2 papers), Cancer Risks and Factors (2 papers), Bladder and Urothelial Cancer Treatments (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Oncology (339 citations), Statistics and Probability (74 citations) and Cancer Research (131 citations). Teresa C. Prevost has collaborated with scholars based in United Kingdom, Taiwan and Sweden. Frequent co-authors include Chien‐Jen Chen, Stephen W. Duffy, Bedrich Viták, Keith R. Abrams, David R. Jones, Nicholas Day, A Wilmink, H A Ashton, Katerina Vardulaki and R A P Scott. Their work appears in journals such as PLoS ONE, Cancer and Cancer Research.
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.