Allison Nau
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
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- CAR-T cell therapy research
Papers in
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- Molecular Biology Techniques and Applications 1
- Amyloidosis: Diagnosis, Treatment, Outcomes 1
- vaccines and immunoinformatics approaches 1
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- T-cell and B-cell Immunology 1
- Immune Cell Function and Interaction 1
- Co-authors
- Mark M. Davis (3 shared papers)Lisa E. Wagar (2 shared papers)Thomas J. Scriba (2 shared papers)Jacob Glanville (1 shared paper)Xuhuai Ji (1 shared paper)Sheri M. Krams (1 shared paper)Alessandro Sette (1 shared paper)Scott D. Boyd (1 shared paper)
- Journals
- Amyloid (1 paper)Clinical Cancer Research (1 paper)Science Immunology (1 paper)Journal of Immunological Methods (1 paper)Nature (1 paper)
- Partner nations
- United StatesSouth AfricaSwitzerland
In The Last Decade
Allison Nau
7 papers receiving 788 citations
Allison Nau's Hit Papers
Peers
Comparison fields: 5 of 77
- Immunology 441
- Oncology 187
- Infectious Diseases 124
- Molecular Biology 323
- Radiology, Nuclear Medicine and Imaging 94
Countries citing papers authored by Allison Nau
This map shows the geographic impact of Allison Nau'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 Allison Nau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allison Nau more than expected).
Fields of papers citing papers by Allison Nau
This network shows the impact of papers produced by Allison Nau. 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 Allison Nau. The network helps show where Allison Nau may publish in the future.
Co-authors
The 25 scholars most cited alongside Allison Nau, 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 | Identifying specificity groups in the T cell receptor repertoire Hit paper breakdown → | 2017 | 610 |
| 2 | 2021 | 98 | |
| 3 | 2017 | 37 | |
| 4 | 2024 | 22 | |
| 5 | Exit, No Exit | 2010 | 11 |
| 6 | 2024 | 10 | |
| 7 | 2023 | 7 |
About Allison Nau
Allison Nau is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Political Science and International Relations and Neurology, having authored 7 papers that have together received 795 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (1 paper), COVID-19 Clinical Research Studies (1 paper), Long-Term Effects of COVID-19 (1 paper), Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper), vaccines and immunoinformatics approaches (1 paper), T-cell and B-cell Immunology (1 paper), Immune Cell Function and Interaction (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Immunology (441 citations), Oncology (187 citations), Infectious Diseases (124 citations), Molecular Biology (323 citations) and Radiology, Nuclear Medicine and Imaging (94 citations). Allison Nau has collaborated with scholars based in United States, South Africa and Switzerland. Frequent co-authors include Mark M. Davis, Lisa E. Wagar, Thomas J. Scriba, Jacob Glanville, Xuhuai Ji, Sheri M. Krams, Alessandro Sette, Scott D. Boyd, Olivia Hatton and Florian Rubelt. Their work appears in journals such as Amyloid, Clinical Cancer Research, Science Immunology, Journal of Immunological Methods and Nature.
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.