Luís Graça

7.0k total citations
115 papers, 5.4k citations indexed

About

Luís Graça is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Luís Graça has authored 115 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Immunology, 14 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Luís Graça's work include T-cell and B-cell Immunology (69 papers), Immune Cell Function and Interaction (68 papers) and Immunotherapy and Immune Responses (42 papers). Luís Graça is often cited by papers focused on T-cell and B-cell Immunology (69 papers), Immune Cell Function and Interaction (68 papers) and Immunotherapy and Immune Responses (42 papers). Luís Graça collaborates with scholars based in Portugal, United Kingdom and United States. Luís Graça's co-authors include Herman Waldmann, Stephen Cobbold, Elizabeth Adams, Ana Agua‐Doce, Válter R. Fonseca, Chun‐Yen Lin, Vanessa G. Oliveira, Catarina F. Almeida, Sara Thompson and Ivonne Wollenberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Luís Graça

110 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luís Graça Portugal 38 4.0k 758 686 422 396 115 5.4k
Maria-Grazia Roncarolo Italy 29 4.9k 1.2× 812 1.1× 1.1k 1.6× 476 1.1× 552 1.4× 43 6.4k
Jordi Ochando United States 37 4.2k 1.0× 1.2k 1.5× 884 1.3× 590 1.4× 238 0.6× 71 5.8k
Jonathan C. Poe United States 37 4.2k 1.1× 917 1.2× 855 1.2× 191 0.5× 258 0.7× 62 5.8k
Hēth Turnquist United States 33 3.1k 0.8× 1.1k 1.5× 716 1.0× 945 2.2× 244 0.6× 90 4.4k
Joerg Ermann United States 27 3.0k 0.8× 881 1.2× 646 0.9× 277 0.7× 1.5k 3.8× 63 4.9k
Amy Putnam United States 26 4.8k 1.2× 403 0.5× 1.2k 1.7× 930 2.2× 273 0.7× 33 6.2k
Yasushi Onishi Japan 26 2.7k 0.7× 590 0.8× 1.4k 2.1× 254 0.6× 995 2.5× 155 4.6k
Marcel Batten Australia 25 3.8k 1.0× 712 0.9× 1.1k 1.6× 469 1.1× 258 0.7× 40 5.5k
Jaap Kwekkeboom Netherlands 44 2.8k 0.7× 1.4k 1.8× 1.7k 2.5× 1.0k 2.5× 267 0.7× 161 6.0k
Louis‐Marie Charbonnier United States 30 2.0k 0.5× 655 0.9× 333 0.5× 366 0.9× 155 0.4× 70 3.4k

Countries citing papers authored by Luís Graça

Since Specialization
Citations

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

Fields of papers citing papers by Luís Graça

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luís Graça

This figure shows the co-authorship network connecting the top 25 collaborators of Luís Graça. A scholar is included among the top collaborators of Luís Graça 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 Luís Graça. Luís Graça 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.
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Qian, He, Minghao Yang, Pengwei Wang, et al.. (2025). Tailoring imaging probes for defining glioma invasive margins: Tracing the molecular footprints of cancer cells. Biomaterials. 327. 123779–123779.
3.
Kumar, Saumya, Martijn Zoodsma, Stephanie Trittel, et al.. (2024). Systemic dysregulation and molecular insights into poor influenza vaccine response in the aging population. Science Advances. 10(39). eadq7006–eadq7006. 2 indexed citations
4.
Oliveira‐Ramos, Filipa, Raquel Campanilho‐Marques, Ana Filipa Mourão, et al.. (2023). Children with extended oligoarticular and polyarticular juvenile idiopathic arthritis have alterations in B and T follicular cell subsets in peripheral blood and a cytokine profile sustaining B cell activation. RMD Open. 9(3). e002901–e002901. 4 indexed citations
5.
6.
Rodríguez-Barbosa, José-Ignacio, Pascal Schneider, Luís Graça, et al.. (2020). The Role of TNFR2 and DR3 in the In Vivo Expansion of Tregs in T Cell Depleting Transplantation Regimens. International Journal of Molecular Sciences. 21(9). 3347–3347. 10 indexed citations
7.
Basto, Afonso P., S. C. P. Almeida, Carine M. Gonçalves, et al.. (2019). Modulation of CD4 T cell function via CD6-targeting. EBioMedicine. 47. 427–435. 11 indexed citations
8.
Rojas, Gertrudis, Tania Carmenate, Pedro A. Valiente, et al.. (2019). Directed evolution of super-secreted variants from phage-displayed human Interleukin-2. Scientific Reports. 9(1). 800–800. 11 indexed citations
9.
Carmenate, Tania, et al.. (2018). Blocking IL-2 Signal In Vivo with an IL-2 Antagonist Reduces Tumor Growth through the Control of Regulatory T Cells. The Journal of Immunology. 200(10). 3475–3484. 40 indexed citations
10.
Agua‐Doce, Ana, Marta Caridade, Vanessa G. Oliveira, et al.. (2017). Route of Antigen Presentation Can Determine the Selection of Foxp3-Dependent or Foxp3-Independent Dominant Immune Tolerance. The Journal of Immunology. 200(1). 101–109. 4 indexed citations
11.
Maceiras, Ana Raquel, S. C. P. Almeida, Encarnita Mariotti‐Ferrandiz, et al.. (2017). T follicular helper and T follicular regulatory cells have different TCR specificity. Nature Communications. 8(1). 15067–15067. 109 indexed citations
12.
Monteiro, Marta, Ana Agua‐Doce, Catarina F. Almeida, et al.. (2015). IL-9 Expression by Invariant NKT Cells Is Not Imprinted during Thymic Development. The Journal of Immunology. 195(7). 3463–3471. 23 indexed citations
13.
Moura, R. A., Rita Cascão, Inês P. Perpétuo, et al.. (2011). Spondyloarthritis and rheumatoid arthritis: different clinical manifestations, similar cytokine network. Annals of the Rheumatic Diseases. 70. A82–A83. 2 indexed citations
14.
Agua‐Doce, Ana & Luís Graça. (2011). Prevention of House Dust Mite Induced Allergic Airways Disease in Mice through Immune Tolerance. PLoS ONE. 6(7). e22320–e22320. 11 indexed citations
15.
Duarte, Joana, Ana Agua‐Doce, Vanessa G. Oliveira, João Eurico Fonseca, & Luís Graça. (2010). Modulation of IL-17 and Foxp3 Expression in the Prevention of Autoimmune Arthritis in Mice. PLoS ONE. 5(5). e10558–e10558. 42 indexed citations
16.
Cascão, Rita, R. A. Moura, Inês P. Perpétuo, et al.. (2010). Identification of a cytokine network sustaining neutrophil and Th17 activation in untreated early rheumatoid arthritis. Arthritis Research & Therapy. 12(5). R196–R196. 96 indexed citations
17.
Cobbold, Stephen, Raquel Castejón, Elizabeth Adams, et al.. (2004). Induction of foxP3 + Regulatory T Cells in the Periphery of T Cell Receptor Transgenic Mice Tolerized to Transplants. The Journal of Immunology. 172(10). 6003–6010. 334 indexed citations
18.
Graça, Luís, Sara Thompson, Chun‐Yen Lin, et al.. (2002). Both CD4+CD25+ and CD4+CD25− Regulatory Cells Mediate Dominant Transplantation Tolerance. The Journal of Immunology. 168(11). 5558–5565. 321 indexed citations
19.
Zélénika, Diana, Elizabeth Adams, Luís Graça, et al.. (2002). Regulatory T Cells Overexpress a Subset of Th2 Gene Transcripts. The Journal of Immunology. 168(3). 1069–1079. 144 indexed citations
20.
Graça, Luís, Karen Honey, Elizabeth Adams, Stephen Cobbold, & Herman Waldmann. (2000). Cutting Edge: Anti-CD154 Therapeutic Antibodies Induce Infectious Transplantation Tolerance. The Journal of Immunology. 165(9). 4783–4786. 164 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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