Mario Roederer
Impact in
- Virology top 0.01%
- HIV Research and Treatment
- Immunology top 0.02%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Virology 185
- HIV Research and Treatment 182
- Immunology 113
- T-cell and B-cell Immunology 88
- Immunotherapy and Immune Responses 18
- Co-authors
- Pratip K. Chattopadhyay (52 shared papers)Richard A. Koup (68 shared papers)Leonore A. Herzenberg (39 shared papers)Daniel C. Douek (36 shared papers)Stephen C. De Rosa (30 shared papers)David Anthony Price (31 shared papers)Robert A. Seder (25 shared papers)Patricia A. Darrah (19 shared papers)
- Journals
- Cytometry Part A (46 papers)Journal of Virology (35 papers)Nature Medicine (19 papers)The Journal of Immunology (19 papers)Proceedings of the National Academy of Sciences (16 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Mario Roederer
447 papers receiving 51.3k citations
Mario Roederer's Hit Papers
Peers
Comparison fields: 5 of 187
- Virology 12.6k
- Immunology 13.8k
- Infectious Diseases 7.5k
- Biophysics 1.7k
- Oncology 4k
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-authors
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
Showing the 20 most-cited of 453 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A human memory T cell subset with stem cell–like properties Hit paper breakdown → | 2011 | 1586 |
| 2 | Rational Design of Envelope Identifies Broadly Neutralizing Human Monoclonal Antibodies to HIV-1 Hit paper breakdown → | 2010 | 1499 |
| 3 | Sensitive and viable identification of antigen-specific CD8+ T cells by a flow cytometric assay for degranulation Hit paper breakdown → | 2003 | 1360 |
| 4 | T-cell quality in memory and protection: implications for vaccine design Hit paper breakdown → | 2008 | 1337 |
| 5 | Multifunctional TH1 cells define a correlate of vaccine-mediated protection against Leishmania major Hit paper breakdown → | 2007 | 1197 |
| 6 | Massive infection and loss of memory CD4+ T cells in multiple tissues during acute SIV infection Hit paper breakdown → | 2005 | 1054 |
| 7 | Characterization of circulating T cells specific for tumor-associated antigens in melanoma patients Hit paper breakdown → | 1999 | 966 |
| 8 | Expression of CD57 defines replicative senescence and antigen-induced apoptotic death of CD8+ T cells Hit paper breakdown → | 2003 | 889 |
| 9 | Intracellular thiols regulate activation of nuclear factor kappa B and transcription of human immunodeficiency virus. Hit paper breakdown → | 1990 | 888 |
| 10 | Evaluation of the mRNA-1273 Vaccine against SARS-CoV-2 in Nonhuman Primates Hit paper breakdown → | 2020 | 864 |
| 11 | Seventeen-colour flow cytometry: unravelling the immune system Hit paper breakdown → | 2004 | 845 |
| 12 | PD-1 is a regulator of virus-specific CD8+ T cell survival in HIV infection Hit paper breakdown → | 2006 | 765 |
| 13 | SPICE: Exploration and analysis of post‐cytometric complex multivariate datasets Hit paper breakdown → | 2011 | 732 |
| 14 | Focused Evolution of HIV-1 Neutralizing Antibodies Revealed by Structures and Deep Sequencing Hit paper breakdown → | 2011 | 710 |
| 15 | The who's who of T ‐cell differentiation: Human memory T ‐cell subsets Hit paper breakdown → | 2013 | 687 |
| 16 | Protection Against Malaria by Intravenous Immunization with a Nonreplicating Sporozoite Vaccine Hit paper breakdown → | 2013 | 635 |
| 17 | 1997 | 610 | |
| 18 | 2008 | 610 | |
| 19 | Redistribution, Hyperproliferation, Activation of Natural Killer Cells and CD8 T Cells, and Cytokine Production During First-in-Human Clinical Trial of Recombinant Human Interleukin-15 in Patients With Cancer Hit paper breakdown → | 2014 | 606 |
| 20 | A deep profiler's guide to cytometry Hit paper breakdown → | 2012 | 562 |
About Mario Roederer
Mario Roederer is a scholar working on Virology, Immunology, Biophysics, Infectious Diseases and Physiology, having authored 453 papers that have together received 52.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (182 papers), T-cell and B-cell Immunology (88 papers), Advanced Fluorescence Microscopy Techniques (26 papers), Clinical Laboratory Practices and Quality Control (24 papers), Cell Image Analysis Techniques (24 papers), Tuberculosis Research and Epidemiology (20 papers), Single-cell and spatial transcriptomics (19 papers) and Immunotherapy and Immune Responses (18 papers). The work is most often cited by research in Virology (12.6k citations), Immunology (13.8k citations), Infectious Diseases (7.5k citations), Biophysics (1.7k citations) and Oncology (4k citations). Mario Roederer has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Pratip K. Chattopadhyay, Richard A. Koup, Leonore A. Herzenberg, Daniel C. Douek, Stephen C. De Rosa, David Anthony 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, Nature Medicine, The Journal of Immunology 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.