Elinor Willis
Impact in
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- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
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- Immunotherapy and Immune Responses
Papers in
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- Immune cells in cancer 2
- Immunotherapy and Immune Responses 2
- Immune Response and Inflammation 2
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- Viral Infectious Diseases and Gene Expression in Insects 2
- Co-authors
- Scott E. Hensley (3 shared papers)Drew Weissman (1 shared paper)Norbert Pardi (1 shared paper)Ying K. Tam (1 shared paper)Barbara L. Mui (1 shared paper)Kaela Parkhouse (2 shared papers)Paul Schedl (1 shared paper)Girish Deshpande (1 shared paper)
- Journals
- Veterinary Pathology (6 papers)Virology (1 paper)Molecular Therapy — Methods & Clinical Development (1 paper)Nature Microbiology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Elinor Willis
14 papers receiving 108 citations
Peers
Comparison fields: 5 of 40
- Infectious Diseases 39
- Immunology 24
- Epidemiology 25
- Public Health, Environmental and Occupational Health 20
- Hematology 7
Countries citing papers authored by Elinor Willis
This map shows the geographic impact of Elinor Willis'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 Elinor Willis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elinor Willis more than expected).
Fields of papers citing papers by Elinor Willis
This network shows the impact of papers produced by Elinor Willis. 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 Elinor Willis. The network helps show where Elinor Willis may publish in the future.
Co-authors
The 25 scholars most cited alongside Elinor Willis, 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 | 2020 | 42 | |
| 2 | 2017 | 17 | |
| 3 | 2014 | 15 | |
| 4 | 2024 | 9 | |
| 5 | 1993 | 6 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 5 | |
| 8 | 2025 | 3 | |
| 9 | Proceedings: Studies on carriers of Australia antibody. | 1974 | 2 |
| 10 | 2022 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2026 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2026 | 0 | |
| 19 | 2016 | 0 |
About Elinor Willis
Elinor Willis is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Epidemiology and Genetics, having authored 19 papers that have together received 110 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (2 papers), Immune cells in cancer (2 papers), CAR-T cell therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Immunotherapy and Immune Responses (2 papers), Parasitic Diseases Research and Treatment (2 papers), Immune Response and Inflammation (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Infectious Diseases (39 citations), Immunology (24 citations), Epidemiology (25 citations), Public Health, Environmental and Occupational Health (20 citations) and Hematology (7 citations). Elinor Willis has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Scott E. Hensley, Drew Weissman, Norbert Pardi, Ying K. Tam, Barbara L. Mui, Kaela Parkhouse, Paul Schedl, Girish Deshpande, Robert W. Fernandez and Sandip Chatterjee. Their work appears in journals such as Veterinary Pathology, Virology, Molecular Therapy — Methods & Clinical Development, Nature Microbiology and PLoS ONE.
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.