Pere Santamaría

15.1k total citations · 2 hit papers
181 papers, 11.4k citations indexed

About

Pere Santamaría is a scholar working on Immunology, Genetics and Surgery. According to data from OpenAlex, Pere Santamaría has authored 181 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Immunology, 106 papers in Genetics and 60 papers in Surgery. Recurrent topics in Pere Santamaría's work include Diabetes and associated disorders (105 papers), Immune Cell Function and Interaction (93 papers) and T-cell and B-cell Immunology (88 papers). Pere Santamaría is often cited by papers focused on Diabetes and associated disorders (105 papers), Immune Cell Function and Interaction (93 papers) and T-cell and B-cell Immunology (88 papers). Pere Santamaría collaborates with scholars based in Canada, Spain and United States. Pere Santamaría's co-authors include Pau Serra, Sue Tsai, Joan Verdaguer, Abdelaziz Amrani, Jun Yamanouchi, Xavier Clemente‐Casares, Bingye Han, Yang Yang, Afshin Shameli and Nuzhat Averill and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Pere Santamaría

179 papers receiving 11.2k citations

Hit Papers

The Combined Effects of Tryptophan Starvation and Tryptop... 2005 2026 2012 2019 2006 2005 250 500 750

Peers

Pere Santamaría
Massimo Trucco United States
Mark Peakman United Kingdom
Mark S. Anderson United States
Bart O. Roep Netherlands
David R. Greaves United Kingdom
Grant Morahan Australia
Denny Liggitt United States
Massimo Trucco United States
Pere Santamaría
Citations per year, relative to Pere Santamaría Pere Santamaría (= 1×) peers Massimo Trucco

Countries citing papers authored by Pere Santamaría

Since Specialization
Citations

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

Fields of papers citing papers by Pere Santamaría

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pere Santamaría

This figure shows the co-authorship network connecting the top 25 collaborators of Pere Santamaría. A scholar is included among the top collaborators of Pere Santamaría 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 Pere Santamaría. Pere Santamaría 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.
Ramírez‐Morros, Anna, Marta Vidal, D. Herbert Opi, et al.. (2025). Post-vaccination IgG4 and IgG2 class switch associates with increased risk of SARS-CoV-2 infections. Journal of Infection. 90(4). 106473–106473. 8 indexed citations
2.
Ramírez‐Morros, Anna, Alfons Jiménez, Marta Vidal, et al.. (2025). Determinants of antibody levels and protection against omicron BQ.1/XBB breakthrough infection. Communications Medicine. 5(1). 243–243.
3.
Yamanouchi, Jun, et al.. (2024). Transcriptional re-programming of liver-resident iNKT cells into T-regulatory type-1-like liver iNKT cells involves extensive gene de-methylation. Frontiers in Immunology. 15. 1454314–1454314. 1 indexed citations
4.
Rubio, Rocío, Dídac Macià, Diana Barrios, et al.. (2024). High-resolution kinetics and cellular determinants of SARS-CoV-2 antibody response over two years after COVID-19 vaccination. Microbes and Infection. 27(2). 105423–105423. 5 indexed citations
5.
Parras, Daniel, Jun Yamanouchi, Nahir Garabatos, et al.. (2023). Transcriptional re-programming of insulin B-chain epitope-specific T-follicular helper cells into anti-diabetogenic T-regulatory type-1 cells. Frontiers in Immunology. 14. 1177722–1177722. 10 indexed citations
7.
Serra, Pau, Nahir Garabatos, Santiswarup Singha, et al.. (2019). Increased yields and biological potency of knob-into-hole-based soluble MHC class II molecules. Nature Communications. 10(1). 4917–4917. 18 indexed citations
8.
Wang, Jinguo, et al.. (2010). In situ recognition of autoantigen as an essential gatekeeper in autoimmune CD8 + T cell inflammation. Proceedings of the National Academy of Sciences. 107(20). 9317–9322. 47 indexed citations
9.
Santamaría, Pere, Xavier Clemente‐Casares, Jun Yamanouchi, et al.. (2010). Turning Human Epidermis Into Pancreatic Endoderm. The Review of Diabetic Studies. 7(2). 158–167. 9 indexed citations
10.
Tsai, Sue, Afshin Shameli, & Pere Santamaría. (2008). Chapter 4 CD8+ T Cells in Type 1 Diabetes. Advances in immunology. 100. 79–124. 105 indexed citations
11.
O’Sullivan, Brendan, Helen E. Thomas, Saparna Pai, et al.. (2006). IL-1β Breaks Tolerance through Expansion of CD25+ Effector T Cells. The Journal of Immunology. 176(12). 7278–7287. 142 indexed citations
12.
Chong, Mark M. W., Ye Chen, Rima Darwiche, et al.. (2004). Suppressor of Cytokine Signaling-1 Overexpression Protects Pancreatic β Cells from CD8+ T Cell-Mediated Autoimmune Destruction. The Journal of Immunology. 172(9). 5714–5721. 88 indexed citations
13.
Lieberman, Scott M., Toshiyuki Takaki, Bingye Han, et al.. (2004). Individual Nonobese Diabetic Mice Exhibit Unique Patterns of CD8+ T Cell Reactivity to Three Islet Antigens, Including the Newly Identified Widely Expressed Dystrophia Myotonica Kinase. The Journal of Immunology. 173(11). 6727–6734. 99 indexed citations
14.
Lieberman, Scott M., Anne M. Evans, Bingye Han, et al.. (2003). Identification of the β cell antigen targeted by a prevalent population of pathogenic CD8 + T cells in autoimmune diabetes. Proceedings of the National Academy of Sciences. 100(14). 8384–8388. 320 indexed citations
15.
Darwiche, Rima, Mark M. W. Chong, Pere Santamaría, Helen E. Thomas, & Thomas W. H. Kay. (2003). Fas Is Detectable on β Cells in Accelerated, But Not Spontaneous, Diabetes in Nonobese Diabetic Mice. The Journal of Immunology. 170(12). 6292–6297. 43 indexed citations
16.
Yamanouchi, Jun, Joan Verdaguer, Bingye Han, et al.. (2003). Cross-Priming of Diabetogenic T Cells Dissociated from CTL-Induced Shedding of β Cell Autoantigens. The Journal of Immunology. 171(12). 6900–6909. 49 indexed citations
17.
Zhang, Yiqun, Bronwyn A. O’Brien, Jacqueline D. Trudeau, et al.. (2002). In Situ β Cell Death Promotes Priming of Diabetogenic CD8 T Lymphocytes. The Journal of Immunology. 168(3). 1466–1472. 89 indexed citations
18.
Amrani, Abdelaziz, Pau Serra, Jun Yamanouchi, et al.. (2001). Expansion of the Antigenic Repertoire of a Single T Cell Receptor upon T Cell Activation. The Journal of Immunology. 167(2). 655–666. 55 indexed citations
19.
Balasa, Balaji, Kurt Van Gunst, Nadja Jung, et al.. (2000). Islet-Specific Expression of IL-10 Promotes Diabetes in Nonobese Diabetic Mice Independent of Fas, Perforin, TNF Receptor-1, and TNF Receptor-2 Molecules. The Journal of Immunology. 165(5). 2841–2849. 45 indexed citations
20.
Amrani, Abdelaziz, et al.. (2000). Ly-49P Activates NK-Mediated Lysis by Recognizing H-2Dd 1. The Journal of Immunology. 165(4). 1771–1781. 33 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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