David Tyas
Impact in
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies
- Economics and Econometrics top 10%
- Health Systems, Economic Evaluations, Quality of Life
- Economic and Financial Impacts of Cancer
Papers in ⓘ
-
- Health Systems, Economic Evaluations, Quality of Life 6
- Pharmaceutical Economics and Policy 2
-
- Multiple Sclerosis Research Studies 5
- Lymphoma Diagnosis and Treatment 1
- Co-authors
- Nicola S. Russell (2 shared papers)John Kerrigan (2 shared papers)Richard M. Nixon (2 shared papers)Michelle Orme (1 shared paper)Phil McEwan (4 shared papers)A. Juarez-Garcia (4 shared papers)Danny Liew (4 shared papers)Edward Gibson (4 shared papers)
- Journals
- Value in Health (5 papers)ClinicoEconomics and Outcomes Research (2 papers)Future Oncology (2 papers)Current Medical Research and Opinion (1 paper)PharmacoEconomics (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
David Tyas
17 papers receiving 359 citations
Peers
Comparison fields: 5 of 62
- Pathology and Forensic Medicine 212
- Economics and Econometrics 148
- Statistics and Probability 43
- Hematology 48
- Neurology 47
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 | 144 | |
| 2 | 2017 | 54 | |
| 3 | 2019 | 36 | |
| 4 | 2007 | 31 | |
| 5 | 2012 | 31 | |
| 6 | 2012 | 22 | |
| 7 | 2019 | 19 | |
| 8 | 2018 | 11 | |
| 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 |
About David Tyas
David Tyas is a scholar working on Economics and Econometrics, Pathology and Forensic Medicine, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 375 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Multiple Sclerosis Research Studies (5 papers), CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Biosimilars and Bioanalytical Methods (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Pharmaceutical Economics and Policy (2 papers) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (212 citations), Economics and Econometrics (148 citations), Statistics and Probability (43 citations), Hematology (48 citations) and Neurology (47 citations). David Tyas has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Nicola S. Russell, John Kerrigan, Richard M. Nixon, Michelle Orme, Phil McEwan, A. Juarez-Garcia, Danny Liew, Edward Gibson, Yong Yuan and Anders Gustavsson. Their work appears in journals such as Value in Health, ClinicoEconomics and Outcomes Research, Future Oncology, Current Medical Research and Opinion and PharmacoEconomics.
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.