David Whyatt
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Animal Genetics and Reproduction
- Hematology top 10%
Papers in
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- Primary Care and Health Outcomes 4
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- Healthcare Policy and Management 8
- Co-authors
- Frank Grosveld (9 shared papers)O Hanscombe (3 shared papers)Sjaak Philipsen (7 shared papers)Niall Dillon (3 shared papers)Peter Fraser (3 shared papers)David R. Greaves (2 shared papers)N. Yannoutsos (1 shared paper)E. deBoer (2 shared papers)
- Journals
- Emergency Medicine Australasia (4 papers)International Journal of Environmental Research and Public Health (3 papers)Australian Geographer (2 papers)International Journal for Population Data Science (2 papers)Medical Care (2 papers)
- Partner nations
- AustraliaNetherlandsQatar
In The Last Decade
David Whyatt
32 papers receiving 879 citations
Peers
Comparison fields: 5 of 108
- Genetics 173
- Hematology 97
- Molecular Biology 570
- Modeling and Simulation 32
- Genetics 188
Countries citing papers authored by David Whyatt
This map shows the geographic impact of David Whyatt'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 Whyatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Whyatt more than expected).
Fields of papers citing papers by David Whyatt
This network shows the impact of papers produced by David Whyatt. 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 Whyatt. The network helps show where David Whyatt may publish in the future.
Co-authors
The 25 scholars most cited alongside David Whyatt, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 253 | |
| 2 | 1991 | 123 | |
| 3 | 1993 | 103 | |
| 4 | 2000 | 91 | |
| 5 | 1997 | 57 | |
| 6 | 2019 | 44 | |
| 7 | 2020 | 23 | |
| 8 | 1993 | 23 | |
| 9 | 2009 | 20 | |
| 10 | 2019 | 19 | |
| 11 | 2005 | 18 | |
| 12 | 2004 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 1990 | 12 | |
| 15 | Impact of structured education and self management on rural asthma outcomes. | 2010 | 12 |
| 16 | 2022 | 11 | |
| 17 | 2002 | 11 | |
| 18 | 2006 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2021 | 5 |
About David Whyatt
David Whyatt is a scholar working on General Health Professions, Economics and Econometrics, Health, Molecular Biology and Epidemiology, having authored 34 papers that have together received 913 indexed citations. Recurring topics across this work include Healthcare Policy and Management (8 papers), Health disparities and outcomes (8 papers), Emergency and Acute Care Studies (4 papers), Data-Driven Disease Surveillance (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Primary Care and Health Outcomes (4 papers), CRISPR and Genetic Engineering (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Genetics (173 citations), Hematology (97 citations), Molecular Biology (570 citations), Modeling and Simulation (32 citations) and Genetics (188 citations). David Whyatt has collaborated with scholars based in Australia, Netherlands and Qatar. Frequent co-authors include Frank Grosveld, O Hanscombe, Sjaak Philipsen, Niall Dillon, Peter Fraser, David R. Greaves, N. Yannoutsos, E. deBoer, Berwin A. Turlach and Alar Karis. Their work appears in journals such as Emergency Medicine Australasia, International Journal of Environmental Research and Public Health, Australian Geographer, International Journal for Population Data Science and Medical Care.
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.