Lisa E. Wagar
- Immunology top 2%
- 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
- Immune Response and Inflammation 3
- Oncology top 10%
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- vaccines and immunoinformatics approaches 6
- Single-cell and spatial transcriptomics 3
- Infectious Diseases top 10%
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- Influenza Virus Research Studies 6
- Co-authors
- Mark M. DavisScott D. BoydAllison NauThomas J. ScribaOlivia HattonAlessandro SetteJacob GlanvilleSheri M. Krams
- Cited by
- ImmunologyOncologyMolecular Biology
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Lisa E. Wagar
32 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 1.2k
- Oncology 424
- Molecular Biology 684
- Infectious Diseases 168
- Radiology, Nuclear Medicine and Imaging 207
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 29 | |
| 5 | 2023 | 5 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 129 | |
| 8 | 2019 | 44 | |
| 9 | 2019 | 209 | |
| 10 | 2019 | 12 | |
| 11 | 2019 | 8 | |
| 12 | 2018 | 76 | |
| 13 | 2017 | 3 | |
| 14 | 2017 | 49 | |
| 15 | 2017 | 220 | |
| 16 | 2017 | 37 | |
| 17 | Identifying specificity groups in the T cell receptor repertoirebreakdown → | 2017 | 595 |
| 18 | 2011 | 32 | |
| 19 | 2011 | 34 | |
| 20 | 2009 | 52 |
About Lisa E. Wagar
Lisa E. Wagar is a scholar working on Immunology, Virology, Biophysics, Epidemiology and Nutrition and Dietetics, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (12 papers), Immunotherapy and Immune Responses (7 papers), Influenza Virus Research Studies (6 papers), vaccines and immunoinformatics approaches (6 papers), Single-cell and spatial transcriptomics (3 papers), IL-33, ST2, and ILC Pathways (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (424 citations), Molecular Biology (684 citations), Infectious Diseases (168 citations) and Radiology, Nuclear Medicine and Imaging (207 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, Allison Nau, Thomas J. Scriba, Olivia Hatton, Alessandro Sette, Jacob Glanville, Sheri M. Krams, Huang Huang and Olivia M. Martinez. Their work appears in journals such as Immunity, PLoS ONE, Frontiers in Immunology, Science and The Journal of 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.