Peter A. Szabo

5.3k total citations · 2 hit papers
20 papers, 1.5k citations indexed

About

Peter A. Szabo is a scholar working on Immunology, Molecular Biology and Neurology. According to data from OpenAlex, Peter A. Szabo has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Neurology. Recurrent topics in Peter A. Szabo's work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (10 papers) and Immune Response and Inflammation (4 papers). Peter A. Szabo is often cited by papers focused on Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (10 papers) and Immune Response and Inflammation (4 papers). Peter A. Szabo collaborates with scholars based in United States, Canada and Australia. Peter A. Szabo's co-authors include Donna L. Färber, Michelle Miron, Puspa Thapa, Pranay Dogra, Takashi Senda, Mark E. Snyder, Peter A. Sims, S. M. Mansour Haeryfar, Yim Ling Cheng and Erin Bush and has published in prestigious journals such as Cell, Nature Medicine and Nature Communications.

In The Last Decade

Peter A. Szabo

20 papers receiving 1.5k citations

Hit Papers

Location, location, location: Tissue resident memory T ce... 2019 2026 2021 2023 2019 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter A. Szabo United States 13 1.1k 323 297 171 162 20 1.5k
Rebecca C. Furze United Kingdom 15 750 0.7× 226 0.7× 521 1.8× 189 1.1× 182 1.1× 22 1.6k
Tomer Granot United States 14 1.3k 1.1× 343 1.1× 271 0.9× 156 0.9× 228 1.4× 15 1.7k
Andrew Lucas Australia 21 636 0.6× 375 1.2× 255 0.9× 170 1.0× 193 1.2× 36 1.3k
Gerhard Wingender United States 19 1.2k 1.1× 281 0.9× 280 0.9× 84 0.5× 189 1.2× 31 1.6k
María López‐Bravo Spain 14 1.1k 1.0× 220 0.7× 321 1.1× 110 0.6× 197 1.2× 19 1.6k
Corinna F. Brereton Ireland 8 1.9k 1.7× 303 0.9× 465 1.6× 147 0.9× 229 1.4× 9 2.5k
Anneleen Bosma United Kingdom 7 1.5k 1.3× 294 0.9× 303 1.0× 113 0.7× 218 1.3× 7 2.1k
Gabriele Hintzen United States 7 1.8k 1.6× 485 1.5× 300 1.0× 71 0.4× 127 0.8× 15 2.2k
Caroline Sommereyns Belgium 8 750 0.7× 310 1.0× 182 0.6× 184 1.1× 334 2.1× 9 1.2k
Zhihui Liang China 15 696 0.6× 177 0.5× 691 2.3× 147 0.9× 159 1.0× 50 1.6k

Countries citing papers authored by Peter A. Szabo

Since Specialization
Citations

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

Fields of papers citing papers by Peter A. Szabo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter A. Szabo. 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 Peter A. Szabo. The network helps show where Peter A. Szabo may publish in the future.

Co-authorship network of co-authors of Peter A. Szabo

This figure shows the co-authorship network connecting the top 25 collaborators of Peter A. Szabo. A scholar is included among the top collaborators of Peter A. Szabo 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 Peter A. Szabo. Peter A. Szabo 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.
Lam, Nora, Bruce A. Buchholz, Yoon Seung Lee, et al.. (2025). Asynchronous aging and turnover of human circulating and tissue-resident memory T cells across sites. Immunity. 58(9). 2271–2288.e6. 1 indexed citations
2.
Caron, Daniel P., David Chen, Steven B. Wells, et al.. (2025). Multimodal hierarchical classification of CITE-seq data delineates immune cell states across lineages and tissues. Cell Reports Methods. 5(1). 100938–100938. 4 indexed citations
3.
Poon, Maya M.L., Daniel P. Caron, Zicheng Wang, et al.. (2023). Tissue adaptation and clonal segregation of human memory T cells in barrier sites. Nature Immunology. 24(2). 309–319. 80 indexed citations
4.
Szabo, Peter A.. (2023). Axes of heterogeneity in human tissue‐resident memory T cells. Immunological Reviews. 316(1). 23–37. 10 indexed citations
5.
Ural, Basak B., Daniel P. Caron, Pranay Dogra, et al.. (2022). Inhaled particulate accumulation with age impairs immune function and architecture in human lung lymph nodes. Nature Medicine. 28(12). 2622–2632. 54 indexed citations
6.
Chait, Michael, Amy Ku, Pranay Dogra, et al.. (2022). Immune and epithelial determinants of age-related risk and alveolar injury in fatal COVID-19. JCI Insight. 7(11). 6 indexed citations
7.
Dogra, Pranay, Chiara Rancan, Wenji Ma, et al.. (2020). Tissue Determinants of Human NK Cell Development, Function, and Residence. Cell. 180(4). 749–763.e13. 271 indexed citations
8.
Szabo, Peter A., Michelle Miron, & Donna L. Färber. (2019). Location, location, location: Tissue resident memory T cells in mice and humans. Science Immunology. 4(34). 409 indexed citations breakdown →
9.
Szabo, Peter A., Hanna Mendes Levitin, Michelle Miron, et al.. (2019). Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease. Nature Communications. 10(1). 4706–4706. 346 indexed citations breakdown →
10.
Senda, Takashi, Pranay Dogra, Tomer Granot, et al.. (2018). Microanatomical dissection of human intestinal T-cell immunity reveals site-specific changes in gut-associated lymphoid tissues over life. Mucosal Immunology. 12(2). 378–389. 65 indexed citations
11.
Szabo, Peter A., Delfina M. Mazzuca, Kyoungok Kim, et al.. (2017). Rapid and Rigorous IL-17A Production by a Distinct Subpopulation of Effector Memory T Lymphocytes Constitutes a Novel Mechanism of Toxic Shock Syndrome Immunopathology. The Journal of Immunology. 198(7). 2805–2818. 27 indexed citations
13.
Szabo, Peter A., Arash Memarnejadian, Christiane L. Mallett, et al.. (2016). Swift Intrahepatic Accumulation of Granulocytic Myeloid-Derived Suppressor Cells in a Humanized Mouse Model of Toxic Shock Syndrome. The Journal of Infectious Diseases. 213(12). 1990–1995. 10 indexed citations
14.
Szabo, Peter A., Patrick T. Rudak, Joshua Choi, et al.. (2016). Invariant NKT cells are pathogenic in the HLA-DR4-transgenic humanized mouse model of toxic shock syndrome and can be targeted to reduce morbidity. The Journal of Infectious Diseases. 215(5). jiw646–jiw646. 13 indexed citations
15.
Szabo, Peter A., Ram Venkatesh Anantha, Christopher R. Shaler, John K. McCormick, & S. M. Mansour Haeryfar. (2015). CD1d- and MR1-Restricted T Cells in Sepsis. Frontiers in Immunology. 6. 401–401. 30 indexed citations
16.
Szabo, Peter A., Todd D. Schell, Anthony M. Jevnikar, et al.. (2014). Suppression of Immunodominant Antitumor and Antiviral CD8+ T Cell Responses by Indoleamine 2,3-Dioxygenase. PLoS ONE. 9(2). e90439–e90439. 10 indexed citations
18.
Xu, Stacey X., Kevin J. Gilmore, Peter A. Szabo, et al.. (2014). Superantigens Subvert the Neutrophil Response To Promote Abscess Formation and Enhance Staphylococcus aureus SurvivalIn Vivo. Infection and Immunity. 82(9). 3588–3598. 44 indexed citations
19.
Szabo, Peter A., et al.. (1990). Cellular control of IgE induction by a polyphenol-rich compound. Preferential activation of Th2 cells.. The Journal of Immunology. 145(3). 779–784. 25 indexed citations
20.
Szabo, Peter A., et al.. (1978). The Xg<sup>a</sup> antigen on red cells and fibroblasts. Cytogenetic and Genome Research. 22(1-6). 524–526. 5 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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