Case W. McNamara
- Parasitology top 2%
- Parasitic Infections and Diagnostics 12
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- Malaria Research and Control 12
- Research on Leishmaniasis Studies 5
- Mosquito-borne diseases and control 5
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 6
- Molecular Medicine top 5%
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- Computational Drug Discovery Methods 8
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- Trypanosoma species research and implications 7
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- vaccines and immunoinformatics approaches 4
- Co-authors
- Elizabeth A. WinzelerArnab K. ChatterjeePeter G. SchultzMelissa S. LovePartho GhoshAnnelies S. ZinkernagelDavid PlouffeVictor Nizet
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (5 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Case W. McNamara
46 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 94
- Parasitology 349
- Public Health, Environmental and Occupational Health 967
- Infectious Diseases 443
- Molecular Medicine 115
- Computational Theory and Mathematics 310
Countries citing papers authored by Case W. McNamara
This map shows the geographic impact of Case W. McNamara'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 Case W. McNamara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Case W. McNamara more than expected).
Fields of papers citing papers by Case W. McNamara
This network shows the impact of papers produced by Case W. McNamara. 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 Case W. McNamara. The network helps show where Case W. McNamara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Case W. McNamara, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 3 | |
| 8 | 2019 | 42 | |
| 9 | 2019 | 29 | |
| 10 | 2019 | 44 | |
| 11 | 2018 | 69 | |
| 12 | 2018 | 44 | |
| 13 | 2018 | 125 | |
| 14 | 2018 | 19 | |
| 15 | 2014 | 29 | |
| 16 | 2012 | 76 | |
| 17 | 2011 | 69 | |
| 18 | 2009 | 144 | |
| 19 | 2008 | 325 | |
| 20 | 2008 | 124 |
About Case W. McNamara
Case W. McNamara is a scholar working on Parasitology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 48 papers that have together received 2.0k indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (12 papers), Malaria Research and Control (12 papers), Computational Drug Discovery Methods (8 papers), Trypanosoma species research and implications (7 papers), Tuberculosis Research and Epidemiology (6 papers), Research on Leishmaniasis Studies (5 papers), Mosquito-borne diseases and control (5 papers) and vaccines and immunoinformatics approaches (4 papers). The work is most often cited by research in Parasitology (349 citations), Public Health, Environmental and Occupational Health (967 citations) and Infectious Diseases (443 citations). Case W. McNamara has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Elizabeth A. Winzeler, Arnab K. Chatterjee, Peter G. Schultz, Melissa S. Love, Partho Ghosh, Annelies S. Zinkernagel, David Plouffe, Victor Nizet, Thierry T. Diagana and Bryan K. S. Yeung. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.