Mario Roederer
- Virology top 0.02%
- HIV Research and Treatment 106
- Immunology top 0.02%
- Immune Cell Function and Interaction 142
- T-cell and B-cell Immunology 127
- Immunotherapy and Immune Responses 50
- Infectious Diseases top 0.05%
- Biophysics top 0.05%
- Epidemiology top 0.1%
- Cytomegalovirus and herpesvirus research 41
- Herpesvirus Infections and Treatments 17
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- Single-cell and spatial transcriptomics 48
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- CAR-T cell therapy research 21
- Co-authors
- Richard A. KoupPratip K. ChattopadhyayDaniel C. DouekLeonore A. HerzenbergStephen C. De RosaDavid A. PriceRobert A. SederPatricia A. Darrah
- Journals
- Cytometry Part A (37 papers)Journal of Virology (23 papers)The Journal of Immunology (21 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Mario Roederer
341 papers receiving 36.2k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Virology 7.7k
- Immunology 20.3k
- Infectious Diseases 6.3k
- Biophysics 1.4k
- Epidemiology 7.3k
Countries citing papers authored by Mario Roederer
This map shows the geographic impact of Mario Roederer'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 Mario Roederer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Roederer more than expected).
Fields of papers citing papers by Mario Roederer
This network shows the impact of papers produced by Mario Roederer. 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 Mario Roederer. The network helps show where Mario Roederer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mario Roederer, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 24 | |
| 13 | 2021 | 11 | |
| 14 | 2019 | 95 | |
| 15 | 2019 | 7 | |
| 16 | 2012 | 48 | |
| 17 | 2010 | 179 | |
| 18 | 2009 | 244 | |
| 19 | 2008 | 25 | |
| 20 | T-cell quality in memory and protection: implications for vaccine designbreakdown → | 2008 | 1228 |
About Mario Roederer
Mario Roederer is a scholar working on Virology, Immunology and Biophysics, having authored 347 papers that have together received 36.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (142 papers), T-cell and B-cell Immunology (127 papers), HIV Research and Treatment (106 papers), Immunotherapy and Immune Responses (50 papers), Single-cell and spatial transcriptomics (48 papers), Cytomegalovirus and herpesvirus research (41 papers), CAR-T cell therapy research (21 papers) and Herpesvirus Infections and Treatments (17 papers). The work is most often cited by research in Virology (7.7k citations), Immunology (20.3k citations) and Infectious Diseases (6.3k citations). Mario Roederer has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Richard A. Koup, Pratip K. Chattopadhyay, Daniel C. Douek, Leonore A. Herzenberg, Stephen C. De Rosa, David A. Price, Robert A. Seder, Patricia A. Darrah, Jason M. Brenchley and Stephen P. Perfetto. Their work appears in journals such as Cytometry Part A, Journal of Virology, The Journal of Immunology, Proceedings of the National Academy of Sciences and Cytometry.
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.