Alison Leed
Impact in
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- Malaria Research and Control
- Mosquito-borne diseases and control
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- Genetic Associations and Epidemiology
Papers in
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- Protein Structure and Dynamics 2
- Angiogenesis and VEGF in Cancer 1
- Prion Diseases and Protein Misfolding 1
- Cancer therapeutics and mechanisms 1
- Machine Learning in Bioinformatics 1
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- Endoplasmic Reticulum Stress and Disease 1
- Co-authors
- Devin N. Sears (1 shared paper)Angel C. de Dios (1 shared paper)Kateri H. DuBay (1 shared paper)Lyann M. B. Ursos (1 shared paper)Paul D. Roepe (1 shared paper)Virendar K. Kaushik (3 shared papers)Brian J. McMillan (1 shared paper)Chris C. A. Spencer (1 shared paper)
- Journals
- ACS Medicinal Chemistry Letters (1 paper)PLoS ONE (1 paper)Journal of Biomolecular NMR (1 paper)Nature Genetics (1 paper)Cardiovascular Research (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Alison Leed
8 papers receiving 428 citations
Peers
Comparison fields: 5 of 82
- Public Health, Environmental and Occupational Health 102
- Genetics 82
- Immunology 54
- Molecular Biology 164
- Toxicology 7
Countries citing papers authored by Alison Leed
This map shows the geographic impact of Alison Leed'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 Alison Leed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alison Leed more than expected).
Fields of papers citing papers by Alison Leed
This network shows the impact of papers produced by Alison Leed. 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 Alison Leed. The network helps show where Alison Leed may publish in the future.
Co-authors
The 25 scholars most cited alongside Alison Leed, 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 | 2017 | 152 | |
| 2 | 2002 | 138 | |
| 3 | 2019 | 71 | |
| 4 | 2015 | 28 | |
| 5 | 2014 | 19 | |
| 6 | 2009 | 10 | |
| 7 | 2021 | 8 | |
| 8 | 2025 | 4 |
About Alison Leed
Alison Leed is a scholar working on Molecular Biology, Cell Biology, Genetics, Cardiology and Cardiovascular Medicine and Ecology, having authored 8 papers that have together received 430 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Enzyme Structure and Function (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Prion Diseases and Protein Misfolding (1 paper), Cancer therapeutics and mechanisms (1 paper), Electron Spin Resonance Studies (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (102 citations), Genetics (82 citations), Immunology (54 citations), Molecular Biology (164 citations) and Toxicology (7 citations). Alison Leed has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Devin N. Sears, Angel C. de Dios, Kateri H. DuBay, Lyann M. B. Ursos, Paul D. Roepe, Virendar K. Kaushik, Brian J. McMillan, Chris C. A. Spencer, François Aguet and Ayellet V. Segrè. Their work appears in journals such as ACS Medicinal Chemistry Letters, PLoS ONE, Journal of Biomolecular NMR, Nature Genetics and Cardiovascular Research.
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.