Corran Roberts
Impact in
- Health Informatics top 5%
-
- Artificial Intelligence in Healthcare
Papers in
- Co-authors
- Virginia Chiocchia (3 shared papers)Michael Maia Schlüssel (2 shared papers)Stephen Gerry (2 shared papers)Linda M. Peelen (1 shared paper)Ioanna Tzoulaki (1 shared paper)Camille Lassale (1 shared paper)Johanna AAG Damen (1 shared paper)James A Black (1 shared paper)
- Journals
- BMC Cancer (3 papers)British Journal of Cancer (2 papers)BMJ (2 papers)International Journal of Epidemiology (1 paper)BMC Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Corran Roberts
18 papers receiving 955 citations
Corran Roberts's Hit Papers
Peers
Comparison fields: 5 of 105
- Health Informatics 22
- Health Information Management 42
- Cardiology and Cardiovascular Medicine 131
- Ophthalmology 50
- Statistics, Probability and Uncertainty 40
Countries citing papers authored by Corran Roberts
This map shows the geographic impact of Corran Roberts'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 Corran Roberts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corran Roberts more than expected).
Fields of papers citing papers by Corran Roberts
This network shows the impact of papers produced by Corran Roberts. 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 Corran Roberts. The network helps show where Corran Roberts may publish in the future.
Co-authors
The 25 scholars most cited alongside Corran Roberts, 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 | Prediction models for cardiovascular disease risk in the general population: systematic review Hit paper breakdown → | 2016 | 611 |
| 2 | 2019 | 82 | |
| 3 | 1992 | 51 | |
| 4 | 2016 | 38 | |
| 5 | 2020 | 38 | |
| 6 | 2015 | 36 | |
| 7 | 2017 | 29 | |
| 8 | 2016 | 14 | |
| 9 | 2019 | 12 | |
| 10 | 2014 | 10 | |
| 11 | 2015 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 1988 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2015 | 6 | |
| 16 | 2017 | 4 | |
| 17 | 1964 | 3 | |
| 18 | 1967 | 1 |
About Corran Roberts
Corran Roberts is a scholar working on Surgery, Oncology, Radiology, Nuclear Medicine and Imaging, Statistics, Probability and Uncertainty and Otorhinolaryngology, having authored 18 papers that have together received 963 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (3 papers), Esophageal Cancer Research and Treatment (2 papers), Meta-analysis and systematic reviews (2 papers), Foreign Body Medical Cases (1 paper), Pharmaceutical industry and healthcare (1 paper), BRCA gene mutations in cancer (1 paper), Statistical Methods in Clinical Trials (1 paper) and Ear and Head Tumors (1 paper). The work is most often cited by research in Health Informatics (22 citations), Health Information Management (42 citations), Cardiology and Cardiovascular Medicine (131 citations), Ophthalmology (50 citations) and Statistics, Probability and Uncertainty (40 citations). Corran Roberts has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Virginia Chiocchia, Michael Maia Schlüssel, Stephen Gerry, Linda M. Peelen, Ioanna Tzoulaki, Camille Lassale, Johanna AAG Damen, James A Black, George C.M. Siontis and Lotty Hooft. Their work appears in journals such as BMC Cancer, British Journal of Cancer, BMJ, International Journal of Epidemiology and BMC Medicine.
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.