Tomos Robinson
Impact in
-
- Antibiotic Use and Resistance
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Health Systems, Economic Evaluations, Quality of Life 6
- Genetics 6
- Glioma Diagnosis and Treatment 6
- Co-authors
- Yemi Oluboyede (6 shared papers)Clare Bambra (3 shared papers)Heather Brown (3 shared papers)Ashleigh Kernohan (9 shared papers)Sarah Jefferies (5 shared papers)Ben Barr (2 shared papers)Paul Norman (1 shared paper)Theresa A Lawrie (4 shared papers)
- Journals
- Cochrane Database of Systematic Reviews (6 papers)Value in Health (3 papers)PharmacoEconomics (2 papers)Health Technology Assessment (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Tomos Robinson
24 papers receiving 255 citations
Peers
Comparison fields: 5 of 66
- Applied Microbiology and Biotechnology 21
- Genetics 87
- Health 25
- General Health Professions 36
- Health Informatics 2
Countries citing papers authored by Tomos Robinson
This map shows the geographic impact of Tomos Robinson'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 Tomos Robinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomos Robinson more than expected).
Fields of papers citing papers by Tomos Robinson
This network shows the impact of papers produced by Tomos Robinson. 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 Tomos Robinson. The network helps show where Tomos Robinson may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomos Robinson, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 50 | |
| 2 | 2019 | 44 | |
| 3 | 2020 | 28 | |
| 4 | 2021 | 27 | |
| 5 | 2021 | 19 | |
| 6 | 2022 | 15 | |
| 7 | Health for Wealth : Building a Healthier Northern Powerhouse for UK Productivity | 2018 | 13 |
| 8 | 2019 | 10 | |
| 9 | 2018 | 10 | |
| 10 | 2020 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2023 | 1 |
About Tomos Robinson
Tomos Robinson is a scholar working on Economics and Econometrics, Genetics, Pulmonary and Respiratory Medicine, Health and General Health Professions, having authored 27 papers that have together received 258 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Glioma Diagnosis and Treatment (6 papers), Obesity, Physical Activity, Diet (2 papers), Health disparities and outcomes (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Antibiotic Use and Resistance (1 paper), Cancer Genomics and Diagnostics (1 paper) and Global Health Care Issues (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (21 citations), Genetics (87 citations), Health (25 citations), General Health Professions (36 citations) and Health Informatics (2 citations). Tomos Robinson has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Yemi Oluboyede, Clare Bambra, Heather Brown, Ashleigh Kernohan, Sarah Jefferies, Ben Barr, Paul Norman, Theresa A Lawrie, Lorna Fraser and Robin Grant. Their work appears in journals such as Cochrane Database of Systematic Reviews, Value in Health, PharmacoEconomics, Health Technology Assessment and PLoS ONE.
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.