David Tyas
Impact in
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- Multiple Sclerosis Research Studies
- Economics and Econometrics top 10%
- Health Systems, Economic Evaluations, Quality of Life
- Economic and Financial Impacts of Cancer
Papers in
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- Multiple Sclerosis Research Studies 5
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- Health Systems, Economic Evaluations, Quality of Life 4
- Pharmaceutical Economics and Policy 3
- Innovation Policy and R&D 1
- Co-authors
- John Kerrigan (2 shared papers)Richard M. Nixon (2 shared papers)Nicola S. Russell (2 shared papers)Michelle Orme (1 shared paper)Phil McEwan (4 shared papers)A. Juarez-Garcia (4 shared papers)Yong Yuan (4 shared papers)Danny Liew (4 shared papers)
- Journals
- Value in Health (6 papers)ClinicoEconomics and Outcomes Research (2 papers)Future Oncology (2 papers)PharmacoEconomics (1 paper)Medical Decision Making (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
David Tyas
17 papers receiving 362 citations
Peers
Comparison fields: 5 of 47
- Pathology and Forensic Medicine 194
- Economics and Econometrics 84
- Statistics and Probability 17
- Neurology 24
- Hematology 17
Countries citing papers authored by David Tyas
This map shows the geographic impact of David Tyas'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 David Tyas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Tyas more than expected).
Fields of papers citing papers by David Tyas
This network shows the impact of papers produced by David Tyas. 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 David Tyas. The network helps show where David Tyas may publish in the future.
Co-authors
The 25 scholars most cited alongside David Tyas, 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 | 2006 | 145 | |
| 2 | 2017 | 54 | |
| 3 | 2019 | 37 | |
| 4 | 2012 | 32 | |
| 5 | 2007 | 31 | |
| 6 | 2012 | 22 | |
| 7 | 2019 | 19 | |
| 8 | 2018 | 12 | |
| 9 | 2017 | 4 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 4 | |
| 12 | 2012 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2017 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2017 | 1 | |
| 17 | 2012 | 1 | |
| 18 | 2019 | 0 |
About David Tyas
David Tyas is a scholar working on Pathology and Forensic Medicine, Economics and Econometrics, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 18 papers that have together received 379 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Pharmaceutical Economics and Policy (3 papers), CAR-T cell therapy research (2 papers), Systemic Lupus Erythematosus Research (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Innovation Policy and R&D (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (194 citations), Economics and Econometrics (84 citations), Statistics and Probability (17 citations), Neurology (24 citations) and Hematology (17 citations). David Tyas has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include John Kerrigan, Richard M. Nixon, Nicola S. Russell, Michelle Orme, Phil McEwan, A. Juarez-Garcia, Yong Yuan, Danny Liew, Evelina A. Zimovetz and Neil Roskell. Their work appears in journals such as Value in Health, ClinicoEconomics and Outcomes Research, Future Oncology, PharmacoEconomics and Medical Decision Making.
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.