Robert Balderas

9.4k total citations · 2 hit papers
64 papers, 6.4k citations indexed

About

Robert Balderas is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Robert Balderas has authored 64 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Immunology, 16 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Molecular Biology. Recurrent topics in Robert Balderas's work include T-cell and B-cell Immunology (37 papers), Immune Cell Function and Interaction (31 papers) and Monoclonal and Polyclonal Antibodies Research (16 papers). Robert Balderas is often cited by papers focused on T-cell and B-cell Immunology (37 papers), Immune Cell Function and Interaction (31 papers) and Monoclonal and Polyclonal Antibodies Research (16 papers). Robert Balderas collaborates with scholars based in United States, Canada and France. Robert Balderas's co-authors include Argyrios N. Theofilopoulos, Frank J. Dixon, Rafick‐Pierre Sékaly, Elias K. Haddad, Sylvain Gimmig, Dana Pe’er, Robert V. Bruggner, Peng Qiu, Karen Sachs and Rachel Melamed and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Robert Balderas

63 papers receiving 6.2k citations

Hit Papers

Single-Cell Mass Cytometry of Differential Immune and Dru... 2006 2026 2012 2019 2011 2006 500 1000 1.5k
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. Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
    2011 1.7k citations Robert Balderas et al. profile →
  2. Upregulation of PD-1 expression on HIV-specific CD8+ T cells leads to reversible immune dysfunction
    2006 1.2k citations Lydie Trautmann, Nicolas Chomont et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Balderas United States 35 3.9k 2.0k 987 920 708 64 6.4k
Peter D. Katsikis United States 46 4.1k 1.1× 1.9k 1.0× 1.2k 1.3× 1.2k 1.3× 809 1.1× 136 7.8k
William H. Hildebrand United States 44 4.7k 1.2× 2.3k 1.1× 828 0.8× 1.4k 1.5× 707 1.0× 156 6.5k
Ellen L. Berg United States 43 5.2k 1.4× 3.3k 1.7× 334 0.3× 1.2k 1.4× 1.4k 1.9× 72 10.6k
Susan K. Pierce United States 53 5.8k 1.5× 3.1k 1.6× 349 0.4× 650 0.7× 1.2k 1.7× 154 9.5k
Barbara Fazekas de St Groth Australia 45 9.5k 2.5× 1.4k 0.7× 391 0.4× 1.6k 1.8× 748 1.1× 130 11.8k
Serge Jothy Canada 37 1.0k 0.3× 2.1k 1.1× 440 0.4× 1.3k 1.4× 593 0.8× 80 4.8k
Hannes Stockinger Austria 50 3.9k 1.0× 3.8k 1.9× 210 0.2× 1.5k 1.6× 880 1.2× 191 9.2k
Philip D. Hodgkin Australia 52 8.0k 2.1× 2.5k 1.3× 167 0.2× 1.4k 1.6× 901 1.3× 157 10.9k
Robert C. Fuhlbrigge United States 44 5.1k 1.3× 2.3k 1.1× 230 0.2× 2.8k 3.0× 337 0.5× 100 9.2k
John E. Coligan United States 56 6.1k 1.6× 2.3k 1.1× 430 0.4× 1.3k 1.4× 1.5k 2.1× 186 9.1k

Countries citing papers authored by Robert Balderas

Since Specialization
Citations

This map shows the geographic impact of Robert Balderas'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 Robert Balderas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Balderas more than expected).

Fields of papers citing papers by Robert Balderas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Balderas. 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 Robert Balderas. The network helps show where Robert Balderas may publish in the future.

Co-authorship network of co-authors of Robert Balderas

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Balderas. A scholar is included among the top collaborators of Robert Balderas 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 Robert Balderas. Robert Balderas 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.
Ferrall‐Fairbanks, Meghan C., Brian Johnson, Christopher T. Letson, et al.. (2022). Progenitor Hierarchy of Chronic Myelomonocytic Leukemia Identifies Inflammatory Monocytic-Biased Trajectory Linked to Worse Outcomes. Blood Cancer Discovery. 3(6). 536–553. 9 indexed citations
2.
Gangaev, Anastasia, Steven L. C. Ketelaars, Olga I. Isaeva, et al.. (2021). Identification and characterization of a SARS-CoV-2 specific CD8+ T cell response with immunodominant features. Nature Communications. 12(1). 2593–2593. 69 indexed citations
3.
McGary, Colleen S., Claire Deléage, Justin Harper, et al.. (2017). CTLA-4+PD-1− Memory CD4+ T Cells Critically Contribute to Viral Persistence in Antiretroviral Therapy-Suppressed, SIV-Infected Rhesus Macaques. Immunity. 47(4). 776–788.e5. 112 indexed citations
4.
Engel, Pablo, Laurence Boumsell, Robert Balderas, et al.. (2015). CD Nomenclature 2015: Human Leukocyte Differentiation Antigen Workshops as a Driving Force in Immunology. The Journal of Immunology. 195(10). 4555–4563. 91 indexed citations
5.
Sukhdeo, Kumar, Jason G. Vidal, Jeanne Elia, et al.. (2013). Multiplex Flow Cytometry Barcoding and Antibody Arrays Identify Surface Antigen Profiles of Primary and Metastatic Colon Cancer Cell Lines. PLoS ONE. 8(1). e53015–e53015. 20 indexed citations
6.
Peretz, Yoav, Zhong He, Yu Shi, et al.. (2012). CD160 and PD-1 Co-Expression on HIV-Specific CD8 T Cells Defines a Subset with Advanced Dysfunction. PLoS Pathogens. 8(8). e1002840–e1002840. 121 indexed citations
7.
Goldstein, Jérémie D., Robert Balderas, & Gilles Marodon. (2011). Continuous Activation of the CD122/STAT-5 Signaling Pathway during Selection of Antigen-Specific Regulatory T Cells in the Murine Thymus. PLoS ONE. 6(4). e19038–e19038. 9 indexed citations
8.
Comı́n-Anduix, Begoña, Hooman Sazegar, Thinle Chodon, et al.. (2010). Modulation of Cell Signaling Networks after CTLA4 Blockade in Patients with Metastatic Melanoma. PLoS ONE. 5(9). e12711–e12711. 23 indexed citations
9.
Grevenynghe, Julien van, Francesco A. Procopio, Zhong He, et al.. (2008). Transcription factor FOXO3a controls the persistence of memory CD4+ T cells during HIV infection. Nature Medicine. 14(3). 266–274. 123 indexed citations
10.
Riou, Catherine, Bader Yassine‐Diab, Julien van Grevenynghe, et al.. (2006). Convergence of TCR and cytokine signaling leads to FOXO3a phosphorylation and drives the survival of CD4+ central memory T cells. The Journal of Experimental Medicine. 204(1). 79–91. 179 indexed citations
11.
Theofilopoulos, Argyrios N., Roberto Baccalà, Rosana González‐Quintial, et al.. (1995). T‐Cell Repertoires in Health and Diseasea. Annals of the New York Academy of Sciences. 756(1). 53–65. 4 indexed citations
12.
Manca, Fabrizio, Daniela Fenoglio, Maria Teresa Valle, et al.. (1995). Human T helper cells specific for HIV reverse transcriptase: possible role in intrastructural help for HIV envelope‐specific antibodies. European Journal of Immunology. 25(5). 1217–1223. 14 indexed citations
13.
Lohoff, Michael, Meike Steinert, Angela Weiss, et al.. (1994). Vβ gene repertoires in T cells expanded in local self‐healing and lethal systemic murine cutaneous leishmaniasis. European Journal of Immunology. 24(2). 492–495. 4 indexed citations
14.
Churchill, Mair E. A., E.A. Stura, Clemencia Pinilla, et al.. (1994). Crystal Structure of a Peptide Complex of Anti-influenza Peptide Antibody Fab 26/9. Journal of Molecular Biology. 241(4). 534–556. 51 indexed citations
15.
Burlingame, Rufus W., Robert L. Rubin, Robert Balderas, & Argyrios N. Theofilopoulos. (1993). Genesis and evolution of antichromatin autoantibodies in murine lupus implicates T-dependent immunization with self antigen.. Journal of Clinical Investigation. 91(4). 1687–1696. 195 indexed citations
16.
Theofilopoulos, Argyrios N., Robert Balderas, Roberto Baccalà, & Dwight H. Kono. (1993). T‐Cell Receptor Genes in Autoimmunitya. Annals of the New York Academy of Sciences. 681(1). 33–46. 13 indexed citations
17.
Singer, Paul A., Robert Balderas, Robert J. McEvilly, Michael Bobardt, & Argyrios N. Theofilopoulos. (1989). Tolerance-related V beta clonal deletions in normal CD4-8-, TCR-alpha/beta + and abnormal lpr and gld cell populations.. The Journal of Experimental Medicine. 170(6). 1869–1877. 109 indexed citations
18.
Theofilopoulos, Argyrios N., et al.. (1985). Association of lpr gene with graft-vs.-host disease-like syndrome.. The Journal of Experimental Medicine. 162(1). 1–18. 95 indexed citations
19.
Prud’homme, Gérald J., Robert Balderas, Frank J. Dixon, & Argyrios N. Theofilopoulos. (1983). B cell dependence on and response to accessory signals in murine lupus strains.. The Journal of Experimental Medicine. 157(6). 1815–1827. 94 indexed citations
20.
Theofilopoulos, Argyrios N., Robert Balderas, L Hang, & Frank J. Dixon. (1983). Monoclonal IgM rheumatoid factors derived from arthritic MRL/Mp-lpr/lpr mice.. The Journal of Experimental Medicine. 158(3). 901–919. 40 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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