Daniel T. McManus
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- Immunotherapy and Immune Responses 5
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 3
- Oncology 3
- Co-authors
- Satoshi Ueha (1 shared paper)Emily K. Cartwright (1 shared paper)Sarah L. Hayward (1 shared paper)Sean R. McMaster (1 shared paper)Takeshi Shimaoka (1 shared paper)P. R. Dunbar (1 shared paper)Jacob E. Kohlmeier (1 shared paper)Tatsuya Tsukui (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Journal of Virology (1 paper)Nature Immunology (1 paper)Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Daniel T. McManus
10 papers receiving 414 citations
Peers
Comparison fields: 5 of 63
- Immunology 267
- Infectious Diseases 68
- Oncology 94
- Virology 11
- Neurology 14
Countries citing papers authored by Daniel T. McManus
This map shows the geographic impact of Daniel T. McManus'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 Daniel T. McManus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. McManus more than expected).
Fields of papers citing papers by Daniel T. McManus
This network shows the impact of papers produced by Daniel T. McManus. 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 Daniel T. McManus. The network helps show where Daniel T. McManus may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel T. McManus, 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 | 2019 | 226 | |
| 2 | 2019 | 78 | |
| 3 | 2023 | 41 | |
| 4 | 2021 | 41 | |
| 5 | 2018 | 17 | |
| 6 | 2018 | 9 | |
| 7 | 2015 | 1 | |
| 8 | Protective immunity against Schistosoma japonicum infection induced by Sj ferritin in mice. | 2000 | 1 |
| 9 | 2019 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2026 | 0 |
About Daniel T. McManus
Daniel T. McManus is a scholar working on Immunology, Oncology, Genetics, Surgery and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 416 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers), Parasites and Host Interactions (1 paper), Poxvirus research and outbreaks (1 paper), Cancer Genomics and Diagnostics (1 paper), BRCA gene mutations in cancer (1 paper) and Child Nutrition and Water Access (1 paper). The work is most often cited by research in Immunology (267 citations), Infectious Diseases (68 citations), Oncology (94 citations), Virology (11 citations) and Neurology (14 citations). Daniel T. McManus has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Satoshi Ueha, Emily K. Cartwright, Sarah L. Hayward, Sean R. McMaster, Takeshi Shimaoka, P. R. Dunbar, Jacob E. Kohlmeier, Tatsuya Tsukui, Kouji Matsushima and Makoto Kurachi. Their work appears in journals such as The Journal of Immunology, Journal of Virology, Nature Immunology, Nature and Proceedings of the National Academy of Sciences.
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.