Lisa E. Wagar
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 22
- Immune Cell Function and Interaction 15
- T-cell and B-cell Immunology 12
- Immunotherapy and Immune Responses 7
- IL-33, ST2, and ILC Pathways 3
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- vaccines and immunoinformatics approaches 6
- Single-cell and spatial transcriptomics 3
- Co-authors
- Mark M. Davis (16 shared papers)Scott D. Boyd (2 shared papers)Thomas J. Scriba (2 shared papers)Allison Nau (2 shared papers)Alessandro Sette (1 shared paper)Sheri M. Krams (1 shared paper)Huang Huang (1 shared paper)Arnold Han (1 shared paper)
- Journals
- PLoS ONE (3 papers)Immunity (3 papers)Science (2 papers)Blood (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Lisa E. Wagar
32 papers receiving 1.8k citations
Lisa E. Wagar's Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 1.1k
- Oncology 388
- Molecular Biology 664
- Radiology, Nuclear Medicine and Imaging 196
- Infectious Diseases 151
Countries citing papers authored by Lisa E. Wagar
This map shows the geographic impact of Lisa E. Wagar'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 Lisa E. Wagar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa E. Wagar more than expected).
Fields of papers citing papers by Lisa E. Wagar
This network shows the impact of papers produced by Lisa E. Wagar. 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 Lisa E. Wagar. The network helps show where Lisa E. Wagar may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisa E. Wagar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identifying specificity groups in the T cell receptor repertoire Hit paper breakdown → | 2017 | 610 |
| 2 | 2017 | 224 | |
| 3 | 2019 | 215 | |
| 4 | 2020 | 133 | |
| 5 | 2018 | 78 | |
| 6 | 2023 | 56 | |
| 7 | 2009 | 52 | |
| 8 | 2016 | 50 | |
| 9 | 2017 | 49 | |
| 10 | 2019 | 46 | |
| 11 | 2017 | 37 | |
| 12 | 2024 | 37 | |
| 13 | 2019 | 34 | |
| 14 | 2011 | 34 | |
| 15 | 2011 | 32 | |
| 16 | 2018 | 25 | |
| 17 | 2021 | 23 | |
| 18 | 2010 | 16 | |
| 19 | 2024 | 15 | |
| 20 | 2019 | 13 |
About Lisa E. Wagar
Lisa E. Wagar is a scholar working on Immunology, Molecular Biology, Epidemiology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (12 papers), Influenza Virus Research Studies (7 papers), Immunotherapy and Immune Responses (7 papers), vaccines and immunoinformatics approaches (6 papers), Single-cell and spatial transcriptomics (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and IL-33, ST2, and ILC Pathways (3 papers). The work is most often cited by research in Immunology (1.1k citations), Oncology (388 citations), Molecular Biology (664 citations), Radiology, Nuclear Medicine and Imaging (196 citations) and Infectious Diseases (151 citations). Lisa E. Wagar has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Mark M. Davis, Scott D. Boyd, Thomas J. Scriba, Allison Nau, Alessandro Sette, Sheri M. Krams, Huang Huang, Arnold Han, Cecilia S. Lindestam Arlehamn and Xuhuai Ji. Their work appears in journals such as PLoS ONE, Immunity, Science, Blood and Frontiers in Immunology.
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.