Mario Roederer

62.5k total citations · 15 hit papers
347 papers, 36.9k citations indexed

About

Mario Roederer is a scholar working on Immunology, Virology and Molecular Biology. According to data from OpenAlex, Mario Roederer has authored 347 papers receiving a total of 36.9k indexed citations (citations by other indexed papers that have themselves been cited), including 209 papers in Immunology, 108 papers in Virology and 91 papers in Molecular Biology. Recurrent topics in Mario Roederer's work include Immune Cell Function and Interaction (142 papers), T-cell and B-cell Immunology (127 papers) and HIV Research and Treatment (106 papers). Mario Roederer is often cited by papers focused on Immune Cell Function and Interaction (142 papers), T-cell and B-cell Immunology (127 papers) and HIV Research and Treatment (106 papers). Mario Roederer collaborates with scholars based in United States, United Kingdom and France. Mario Roederer's 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 and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Mario Roederer

341 papers receiving 36.2k citations

Hit Papers

A human memory T cell subset with s... 1990 2026 2002 2014 2011 2003 2008 2007 2005 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A human memory T cell subset with stem cell–like properties
    2011 1.4k citations Daniel C. Douek, Mario Roederer et al. profile →
  2. Sensitive and viable identification of antigen-specific CD8+ T cells by a flow cytometric assay for degranulation
    2003 1.3k citations Daniel C. Douek, Mario Roederer et al. profile →
  3. T-cell quality in memory and protection: implications for vaccine design
    2008 1.2k citations Robert A. Seder, Mario Roederer et al. profile →
  4. Multifunctional TH1 cells define a correlate of vaccine-mediated protection against Leishmania major
    2007 1.1k citations Mario Roederer, Robert A. Seder et al. profile →
  5. Massive infection and loss of memory CD4+ T cells in multiple tissues during acute SIV infection
    2005 989 citations Joseph J. Mattapallil, Daniel C. Douek et al. profile →
  6. Characterization of circulating T cells specific for tumor-associated antigens in melanoma patients
    1999 919 citations Mario Roederer et al. profile →
  7. Intracellular thiols regulate activation of nuclear factor kappa B and transcription of human immunodeficiency virus.
    1990 845 citations Frank J. T. Staal, Mario Roederer et al. profile →
  8. Expression of CD57 defines replicative senescence and antigen-induced apoptotic death of CD8+ T cells
    2003 812 citations David R. Ambrozak, Brenna J. Hill et al. profile →
  9. Seventeen-colour flow cytometry: unravelling the immune system
    2004 794 citations Stephen P. Perfetto, Pratip K. Chattopadhyay et al. profile →
  10. PD-1 is a regulator of virus-specific CD8+ T cell survival in HIV infection
    2006 725 citations Constantinos Petrovas, Joseph P. Casazza et al. The Journal of Experimental Medicine profile →
  11. SPICE: Exploration and analysis of post‐cytometric complex multivariate datasets
    2011 614 citations Mario Roederer, Martha Nason et al. Cytometry Part A profile →
  12. The who's who of T‐cell differentiation: Human memory T‐cell subsets
    2013 603 citations Mario Roederer et al. profile →
  13. Glutathione deficiency is associated with impaired survival in HIV disease
    1997 579 citations Leonore A. Herzenberg, Mario Roederer et al. profile →
  14. Phenotype and function of human T lymphocyte subsets: Consensus and issues
    2008 546 citations Mario Roederer et al. Cytometry Part A profile →
  15. A deep profiler's guide to cytometry
    2012 508 citations Mario Roederer, Pratip K. Chattopadhyay et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mario Roederer United States 97 20.3k 9.8k 7.7k 7.3k 6.3k 347 36.9k
David A. Price United Kingdom 92 20.8k 1.0× 7.6k 0.8× 10.4k 1.3× 6.4k 0.9× 5.5k 0.9× 536 38.4k
Michel C. Nussenzweig United States 136 39.4k 1.9× 20.1k 2.1× 8.7k 1.1× 5.0k 0.7× 6.9k 1.1× 379 61.3k
Carl G. Figdor Netherlands 112 27.4k 1.4× 14.1k 1.4× 2.2k 0.3× 3.3k 0.4× 2.1k 0.3× 528 46.9k
Ronald N. Germain United States 114 30.5k 1.5× 12.1k 1.2× 1.5k 0.2× 3.8k 0.5× 1.8k 0.3× 348 42.8k
Andrew D. Luster United States 120 29.2k 1.4× 10.8k 1.1× 2.1k 0.3× 5.1k 0.7× 2.6k 0.4× 342 51.2k
Dimiter S. Dimitrov United States 74 6.4k 0.3× 7.1k 0.7× 6.9k 0.9× 3.2k 0.4× 5.6k 0.9× 364 20.7k
Ari Helenius Switzerland 115 6.9k 0.3× 21.1k 2.2× 2.5k 0.3× 9.2k 1.2× 5.7k 0.9× 191 39.2k
Hidde L. Ploegh United States 133 25.9k 1.3× 30.3k 3.1× 1.8k 0.2× 11.7k 1.6× 2.6k 0.4× 607 62.0k
Hilary Koprowski United States 105 10.1k 0.5× 16.7k 1.7× 6.8k 0.9× 8.1k 1.1× 4.8k 0.8× 811 41.4k
Judy Lieberman United States 93 10.3k 0.5× 24.7k 2.5× 3.2k 0.4× 3.4k 0.5× 2.4k 0.4× 242 35.4k

Countries citing papers authored by Mario Roederer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Mario Roederer

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Roederer. A scholar is included among the top collaborators of Mario Roederer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Roederer. Mario Roederer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mason, Rosemarie D., Baoshan Zhang, Nicholas C. Morano, et al.. (2025). Structural development of the HIV-1 apex-directed PGT145-PGDM1400 antibody lineage. Cell Reports. 44(1). 115223–115223.
2.
Wu, Chuanfeng, E. Lake Potter, David Allan, et al.. (2022). Tissue Trafficking Kinetics of Rhesus Macaque Natural Killer Cells Measured by Serial Intravascular Staining. Frontiers in Immunology. 12. 772332–772332. 5 indexed citations
3.
Waickman, Adam T., Tao Li, Heather Friberg, et al.. (2022). mRNA-1273 vaccination protects against SARS-CoV-2–elicited lung inflammation in nonhuman primates. JCI Insight. 7(13). 5 indexed citations
4.
Sutton, Matthew S., Amy Ellis, Alexis J. Balgeman, et al.. (2019). CD8β Depletion Does Not Prevent Control of Viral Replication or Protection from Challenge in Macaques Chronically Infected with a Live Attenuated Simian Immunodeficiency Virus. Journal of Virology. 93(15). 7 indexed citations
5.
Conlon, Kevin C., E. Lake Potter, Stefania Pittaluga, et al.. (2019). IL15 by Continuous Intravenous Infusion to Adult Patients with Solid Tumors in a Phase I Trial Induced Dramatic NK-Cell Subset Expansion. Clinical Cancer Research. 25(16). 4945–4954. 95 indexed citations
6.
Mangino, Massimo, Mario Roederer, Margaret H. Beddall, Frank O. Nestlé, & Tim D. Spector. (2017). Innate and adaptive immune traits are differentially affected by genetic and environmental factors. Nature Communications. 8(1). 13850–13850. 95 indexed citations
7.
Tennant, Sharon M., J. Patrick Gorres, Michael Eckhaus, et al.. (2013). Safety and tolerability of a live oral Salmonella typhimurium vaccine candidate in SIV-infected nonhuman primates. Vaccine. 31(49). 5879–5888. 19 indexed citations
8.
Li, Yuxing, Sijy O’Dell, Richard F. Wilson, et al.. (2012). HIV-1 Neutralizing Antibodies Display Dual Recognition of the Primary and Coreceptor Binding Sites and Preferential Binding to Fully Cleaved Envelope Glycoproteins. Journal of Virology. 86(20). 11231–11241. 48 indexed citations
9.
Roederer, Mario, et al.. (2011). SPICE: Exploration and analysis of post‐cytometric complex multivariate datasets. Cytometry Part A. 79A(2). 167–174. 614 indexed citations breakdown →
10.
Geldmacher, Christof, Njabulo Ngwenyama, Alexandra Schuetz, et al.. (2010). Preferential infection and depletion of Mycobacterium tuberculosis –specific CD4 T cells after HIV-1 infection. The Journal of Experimental Medicine. 207(13). 2869–2881. 179 indexed citations
11.
Perfetto, Stephen P., David R. Ambrozak, Richard Nguyen, et al.. (2010). Standard Practice for Cell Sorting in a BSL-3 Facility. Methods in molecular biology. 699. 449–469. 2 indexed citations
12.
Asabe, Shinichi, Stefan Wieland, Pratip K. Chattopadhyay, et al.. (2009). The Size of the Viral Inoculum Contributes to the Outcome of Hepatitis B Virus Infection. Journal of Virology. 83(19). 9652–9662. 244 indexed citations
13.
Hassan, Wail M., Matthew D. Eberly, Michael Piatak, et al.. (2008). Antiretroviral Therapy prior to Acute Viral Replication Preserves CD4 T Cells in the Periphery but Not in Rectal Mucosa during Acute Simian Immunodeficiency Virus Infection. Journal of Virology. 82(22). 11467–11471. 25 indexed citations
14.
Roederer, Mario & Richard R. Hardy. (2001). Frequency difference gating: A multivariate method for identifying subsets that differ between samples. Cytometry. 45(1). 56–64. 71 indexed citations
15.
Roederer, Mario, Adam Treister, Wayne Moore, & Leonore A. Herzenberg. (2001). Probability binning comparison: A metric for quantitating univariate distribution differences. Cytometry. 45(1). 37–46. 146 indexed citations
16.
Raju, Paul A., Leonore A. Herzenberg, Leonard A. Herzenberg, & Mario Roederer. (1994). Glutathione Precursor and Antioxidant Activities of N -Acetylcysteine and Oxothiazolidine Carboxylate Compared in in Vitro Studies of HIV Replication. AIDS Research and Human Retroviruses. 10(8). 961–967. 48 indexed citations
17.
Staal, Frank J. T., Mario Roederer, Paul A. Raju, et al.. (1993). Antioxidants Inhibit Stimulation of HIV Transcription. AIDS Research and Human Retroviruses. 9(4). 299–306. 96 indexed citations
18.
Staal, Frank J. T., Mario Roederer, Dennis Israelski, et al.. (1992). Intracellular Glutathione Levels in T Cell Subsets Decrease in HIV-Infected Individuals. AIDS Research and Human Retroviruses. 8(2). 305–311. 130 indexed citations
19.
Roederer, Mario, Stephen W. Ela, Frank J. T. Staal, Leonore A. Herzenberg, & Leonard A. Herzenberg. (1992). N -Acetylcysteine: A New Approach to Anti-HIV Therapy. AIDS Research and Human Retroviruses. 8(2). 209–217. 140 indexed citations
20.
Roederer, Mario, Paul A. Raju, Frank J. T. Staal, Leonore A. Herzenberg, & Leonard A. Herzenberg. (1991). N-Acetylcysteine Inhibits Latent HIV Expression in Chronically Infected Cells. AIDS Research and Human Retroviruses. 7(6). 563–567. 69 indexed citations

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.

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