Claire E. Styles
Impact in
- Hematology top 10%
- Iron Metabolism and Disorders
-
- Blood donation and transfusion practices
Papers in
-
- Blood donation and transfusion practices 3
- Co-authors
- Joanna Speedy (1 shared paper)Luz Maria De‐Regil (1 shared paper)Sant‐Rayn Pasricha (1 shared paper)Michael Sze Yuan Low (1 shared paper)Clive R. Seed (12 shared papers)Veronica C. Hoad (14 shared papers)Iain B. Gosbell (10 shared papers)A. J. Keller (2 shared papers)
- Journals
- Vox Sanguinis (12 papers)Transfusion (5 papers)Journal of Clinical Microbiology (1 paper)The Medical Journal of Australia (1 paper)Cochrane Database of Systematic Reviews (1 paper)
- Partner nations
- AustraliaCanadaUnited Kingdom
In The Last Decade
Claire E. Styles
20 papers receiving 293 citations
Peers
Comparison fields: 5 of 52
- Hematology 96
- Management of Technology and Innovation 51
- Genetics 42
- Nutrition and Dietetics 38
- Hepatology 15
Countries citing papers authored by Claire E. Styles
This map shows the geographic impact of Claire E. Styles'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 Claire E. Styles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claire E. Styles more than expected).
Fields of papers citing papers by Claire E. Styles
This network shows the impact of papers produced by Claire E. Styles. 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 Claire E. Styles. The network helps show where Claire E. Styles may publish in the future.
Co-authors
The 25 scholars most cited alongside Claire E. Styles, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 142 | |
| 2 | 2020 | 23 | |
| 3 | 2017 | 21 | |
| 4 | 2019 | 17 | |
| 5 | 2018 | 16 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 13 | |
| 8 | 2014 | 11 | |
| 9 | 2022 | 9 | |
| 10 | 2023 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2018 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2019 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Claire E. Styles
Claire E. Styles is a scholar working on Management of Technology and Innovation, Infectious Diseases, Epidemiology, Immunology and Agronomy and Crop Science, having authored 23 papers that have together received 306 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (3 papers), Blood donation and transfusion practices (3 papers), HIV, Drug Use, Sexual Risk (2 papers), Animal Disease Management and Epidemiology (2 papers), Vector-Borne Animal Diseases (2 papers), Hepatitis B Virus Studies (2 papers), Syphilis Diagnosis and Treatment (2 papers) and Bacillus and Francisella bacterial research (1 paper). The work is most often cited by research in Hematology (96 citations), Management of Technology and Innovation (51 citations), Genetics (42 citations), Nutrition and Dietetics (38 citations) and Hepatology (15 citations). Claire E. Styles has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include Joanna Speedy, Luz Maria De‐Regil, Sant‐Rayn Pasricha, Michael Sze Yuan Low, Clive R. Seed, Veronica C. Hoad, Iain B. Gosbell, A. J. Keller, Philip Kiely and June Lee. Their work appears in journals such as Vox Sanguinis, Transfusion, Journal of Clinical Microbiology, The Medical Journal of Australia and Cochrane Database of Systematic Reviews.
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.