Corran Roberts
Impact in
- Health Informatics top 5%
Papers in
-
- Meta-analysis and systematic reviews 3
- scientometrics and bibliometrics research 2
- Genetics 3
- BRCA gene mutations in cancer 3
- Co-authors
- Virginia ChiocchiaMichael Maia SchlüsselStephen GerryPauline HeusJohanna AAG DamenCamille LassaleEwoud SchuitIoanna Tzoulaki
- Journals
- BMC Cancer (3 papers)British Journal of Cancer (2 papers)BMJ (2 papers)Journal of Medical Screening (1 paper)Radiology (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Corran Roberts
18 papers receiving 920 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Health Informatics 34
- Health Information Management 54
- Cardiology and Cardiovascular Medicine 253
- Statistics, Probability and Uncertainty 72
- Endocrinology, Diabetes and Metabolism 121
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-authorship network
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 | 2023 | 6 | |
| 2 | 2020 | 37 | |
| 3 | 2020 | 5 | |
| 4 | 2019 | 11 | |
| 5 | 2019 | 78 | |
| 6 | 2017 | 4 | |
| 7 | 2017 | 27 | |
| 8 | Prediction models for cardiovascular disease risk in the general population: systematic review Hit paper breakdown → | 2016 | 588 |
| 9 | 2016 | 14 | |
| 10 | 2016 | 38 | |
| 11 | 2015 | 8 | |
| 12 | 2015 | 6 | |
| 13 | 2015 | 35 | |
| 14 | 2014 | 10 | |
| 15 | 1992 | 51 | |
| 16 | 1988 | 7 | |
| 17 | 1967 | 1 | |
| 18 | 1964 | 3 |
About Corran Roberts
Corran Roberts is a scholar working on Statistics, Probability and Uncertainty, Genetics, Oncology, Otorhinolaryngology and Statistics and Probability, having authored 18 papers that have together received 929 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (3 papers), Meta-analysis and systematic reviews (3 papers), PARP inhibition in cancer therapy (3 papers), DNA Repair Mechanisms (2 papers), Brain Metastases and Treatment (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Esophageal Cancer Research and Treatment (2 papers) and scientometrics and bibliometrics research (2 papers). The work is most often cited by research in Health Informatics (34 citations), Health Information Management (54 citations), Cardiology and Cardiovascular Medicine (253 citations), Statistics, Probability and Uncertainty (72 citations) and Endocrinology, Diabetes and Metabolism (121 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, Pauline Heus, Johanna AAG Damen, Camille Lassale, Ewoud Schuit, Ioanna Tzoulaki, George C.M. Siontis and Karel G.M. Moons. Their work appears in journals such as BMC Cancer, British Journal of Cancer, BMJ, Journal of Medical Screening and Radiology.
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.