Gareth Bryson
Impact in
- Health Informatics top 10%
Papers in
-
- Pulmonary Hypertension Research and Treatments 3
-
- AI in cancer detection 6
- Co-authors
- David Welsh (2 shared papers)Colin Church (3 shared papers)Andrew J. Peacock (1 shared paper)Andrew J. Fisher (1 shared paper)Roger M. Wadsworth (1 shared paper)Clare Verrill (2 shared papers)Darren Treanor (2 shared papers)Karen N. Price (1 shared paper)
- Journals
- Thorax (2 papers)International Journal of Gynecological Pathology (2 papers)International Journal of Gynecological Cancer (1 paper)Clinical Cancer Research (1 paper)American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)
- Partner nations
- United KingdomSwitzerlandCanada
In The Last Decade
Gareth Bryson
19 papers receiving 269 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 13
- Otorhinolaryngology 17
- Reproductive Medicine 32
- Obstetrics and Gynecology 22
- Cancer Research 36
Countries citing papers authored by Gareth Bryson
This map shows the geographic impact of Gareth Bryson'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 Gareth Bryson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gareth Bryson more than expected).
Fields of papers citing papers by Gareth Bryson
This network shows the impact of papers produced by Gareth Bryson. 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 Gareth Bryson. The network helps show where Gareth Bryson may publish in the future.
Co-authors
The 25 scholars most cited alongside Gareth Bryson, 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 | 55 | |
| 2 | 2005 | 48 | |
| 3 | 2020 | 38 | |
| 4 | 2020 | 26 | |
| 5 | 2010 | 20 | |
| 6 | 2004 | 16 | |
| 7 | 2021 | 14 | |
| 8 | 2023 | 13 | |
| 9 | 2016 | 12 | |
| 10 | 2022 | 8 | |
| 11 | Toxicologic studies of tin needles at the intrathoracic site of mice. | 1976 | 7 |
| 12 | 2017 | 4 | |
| 13 | 2015 | 4 | |
| 14 | 2017 | 3 | |
| 15 | 2012 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2006 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2011 | 0 |
About Gareth Bryson
Gareth Bryson is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Surgery, Oncology and Epidemiology, having authored 20 papers that have together received 274 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Cervical Cancer and HPV Research (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Pulmonary Hypertension Research and Treatments (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Protein Tyrosine Phosphatases (2 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Health Informatics (13 citations), Otorhinolaryngology (17 citations), Reproductive Medicine (32 citations), Obstetrics and Gynecology (22 citations) and Cancer Research (36 citations). Gareth Bryson has collaborated with scholars based in United Kingdom, Switzerland and Canada. Frequent co-authors include David Welsh, Colin Church, Andrew J. Peacock, Andrew J. Fisher, Roger M. Wadsworth, Clare Verrill, Darren Treanor, Karen N. Price, Torsten Stein and Guido Sauter. Their work appears in journals such as Thorax, International Journal of Gynecological Pathology, International Journal of Gynecological Cancer, Clinical Cancer Research and American Journal of Physiology-Lung Cellular and Molecular Physiology.
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.