Lorraine Tyas
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
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- Malaria Research and Control
- Mosquito-borne diseases and control
Papers in
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- Malaria Research and Control 6
- Mosquito-borne diseases and control 2
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- Insect Resistance and Genetics 2
- Machine Learning in Bioinformatics 1
- Metabolism, Diabetes, and Cancer 1
- Kruppel-like factors research 1
- Co-authors
- Jeremy M. Tavaré (2 shared papers)A. Jennifer Rivett (1 shared paper)Andrew J. Pope (1 shared paper)John Kay (6 shared papers)Colin Berry (6 shared papers)Ben M. Dunn (4 shared papers)Lowri H. Phylip (1 shared paper)Robert G. Ridley (4 shared papers)
- Journals
- Advances in experimental medicine and biology (3 papers)FEBS Letters (2 papers)Molecular Cancer (1 paper)European Journal of Biochemistry (1 paper)Diabetic Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Lorraine Tyas
9 papers receiving 460 citations
Peers
Comparison fields: 5 of 74
- Biophysics 55
- Public Health, Environmental and Occupational Health 196
- Parasitology 26
- Molecular Biology 263
- Computational Theory and Mathematics 56
Countries citing papers authored by Lorraine Tyas
This map shows the geographic impact of Lorraine 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 Lorraine Tyas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorraine Tyas more than expected).
Fields of papers citing papers by Lorraine Tyas
This network shows the impact of papers produced by Lorraine 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 Lorraine Tyas. The network helps show where Lorraine Tyas may publish in the future.
Co-authors
The 25 scholars most cited alongside Lorraine 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 | 2000 | 207 | |
| 2 | 1994 | 97 | |
| 3 | 1997 | 89 | |
| 4 | 1999 | 32 | |
| 5 | 1998 | 15 | |
| 6 | 2015 | 12 | |
| 7 | 1996 | 8 | |
| 8 | 1998 | 6 | |
| 9 | 2001 | 4 |
About Lorraine Tyas
Lorraine Tyas is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Oncology, Computational Theory and Mathematics and General Health Professions, having authored 9 papers that have together received 470 indexed citations. Recurring topics across this work include Malaria Research and Control (6 papers), Drug Transport and Resistance Mechanisms (3 papers), Computational Drug Discovery Methods (2 papers), Insect Resistance and Genetics (2 papers), Mosquito-borne diseases and control (2 papers), Machine Learning in Bioinformatics (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Biophysics (55 citations), Public Health, Environmental and Occupational Health (196 citations), Parasitology (26 citations), Molecular Biology (263 citations) and Computational Theory and Mathematics (56 citations). Lorraine Tyas has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Jeremy M. Tavaré, A. Jennifer Rivett, Andrew J. Pope, John Kay, Colin Berry, Ben M. Dunn, Lowri H. Phylip, Robert G. Ridley, Richard P. Moon and Katharina Rupp. Their work appears in journals such as Advances in experimental medicine and biology, FEBS Letters, Molecular Cancer, European Journal of Biochemistry and Diabetic Medicine.
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.