Emma Teixeiro

2.3k total citations · 1 hit paper
35 papers, 1.6k citations indexed

About

Emma Teixeiro is a scholar working on Immunology, Oncology and Cancer Research. According to data from OpenAlex, Emma Teixeiro has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 9 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Emma Teixeiro's work include Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (18 papers) and Immunotherapy and Immune Responses (11 papers). Emma Teixeiro is often cited by papers focused on Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (18 papers) and Immunotherapy and Immune Responses (11 papers). Emma Teixeiro collaborates with scholars based in United States, Spain and Switzerland. Emma Teixeiro's co-authors include Mark A. Daniëls, Ed Palmer, Rafael Bragado, Barbara Hausmann, Guy Werlen, Nicholas R. J. Gascoigne, Kaisa Holmberg, Jason Gill, Georg A. Holländer and Amnon Altman and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Emma Teixeiro

35 papers receiving 1.6k citations

Hit Papers

The impact of gut microbial short-chain fatty acids on co... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emma Teixeiro United States 19 1.1k 470 441 172 99 35 1.6k
Lucillia Bezu France 19 833 0.8× 625 1.3× 524 1.2× 106 0.6× 80 0.8× 42 1.7k
Yina H. Huang United States 22 946 0.9× 656 1.4× 523 1.2× 92 0.5× 83 0.8× 55 1.7k
Eiji Kobayashi Japan 16 699 0.7× 619 1.3× 792 1.8× 170 1.0× 56 0.6× 39 1.6k
Sharareh Gholamin United States 16 619 0.6× 462 1.0× 521 1.2× 312 1.8× 71 0.7× 36 1.5k
Fernando Cruz‐Guilloty United States 12 998 0.9× 327 0.7× 400 0.9× 98 0.6× 36 0.4× 13 1.6k
Danbee Ha South Korea 12 753 0.7× 684 1.5× 310 0.7× 73 0.4× 47 0.5× 15 1.3k
Thierry Guillaudeux France 20 652 0.6× 264 0.6× 409 0.9× 106 0.6× 90 0.9× 42 1.3k
Juan P. Cerliani Argentina 20 1.5k 1.4× 520 1.1× 1.4k 3.1× 203 1.2× 117 1.2× 35 2.3k
Charlotte M. Vines United States 19 537 0.5× 328 0.7× 586 1.3× 115 0.7× 48 0.5× 37 1.3k
Oihana Murillo Spain 18 642 0.6× 544 1.2× 313 0.7× 100 0.6× 42 0.4× 26 1.2k

Countries citing papers authored by Emma Teixeiro

Since Specialization
Citations

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

Fields of papers citing papers by Emma Teixeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Teixeiro

This figure shows the co-authorship network connecting the top 25 collaborators of Emma Teixeiro. A scholar is included among the top collaborators of Emma Teixeiro 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 Emma Teixeiro. Emma Teixeiro 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.
Daniëls, Mark A. & Emma Teixeiro. (2025). The NF-κB signaling network in the life of T cells. Frontiers in Immunology. 16. 1559494–1559494. 3 indexed citations
2.
Bozynski, Chantelle C., Jonathan Williams, Aaron M. Stoker, et al.. (2024). Cell-Mediated Immune Responses May Play Roles in Osteochondral Allograft Transplantation Osteointegration Failures. The Journal of Knee Surgery. 37(11). 812–819. 3 indexed citations
3.
Walters, Dustin M., Eric T. Kimchi, Kevin F. Staveley-O’Carroll, et al.. (2024). Pulsed electric field ablation as a candidate to enhance the anti-tumor immune response to immune checkpoint inhibitors. Cancer Letters. 609. 217361–217361. 2 indexed citations
4.
Guess, Trent M., et al.. (2023). Characterizing Osteochondral Allograft Biomechanics for Optimizing Transplant Success: A Systematic Review. The Journal of Knee Surgery. 37(3). 227–237. 6 indexed citations
5.
Daniëls, Mark A., et al.. (2023). NFκB signaling in T cell memory. Frontiers in Immunology. 14. 1129191–1129191. 23 indexed citations
6.
Pritzl, Curtis J., et al.. (2023). IKK2/NFkB signaling controls lung resident CD8+ T cell memory during influenza infection. Nature Communications. 14(1). 4331–4331. 9 indexed citations
7.
Teixeiro, Emma, et al.. (2023). NF-kB’s contribution to B cell fate decisions. Frontiers in Immunology. 14. 1214095–1214095. 44 indexed citations
8.
Stoker, Aaron M., Emma Teixeiro, Keiichi Kuroki, et al.. (2021). Systematic Review of Osteochondral Allograft Transplant Immunology: How We Can Further Optimize Outcomes. The Journal of Knee Surgery. 34(1). 30–38. 19 indexed citations
9.
Pritzl, Curtis J., Mark A. Daniëls, & Emma Teixeiro. (2021). Interplay of Inflammatory, Antigen and Tissue-Derived Signals in the Development of Resident CD8 Memory T Cells. Frontiers in Immunology. 12. 636240–636240. 6 indexed citations
10.
Barik, Subhasis, et al.. (2020). Type II Cytokines Fine-Tune Thymic T Cell Selection to Offset Murine Central Nervous System Autoimmunity. The Journal of Immunology. 205(8). 2039–2045. 2 indexed citations
11.
Guan, Yue, et al.. (2020). FOLFOX Chemotherapy Ameliorates CD8 T Lymphocyte Exhaustion and Enhances Checkpoint Blockade Efficacy in Colorectal Cancer. Frontiers in Oncology. 10. 586–586. 50 indexed citations
12.
Guan, Yue, et al.. (2016). POSH Regulates CD4+ T Cell Differentiation and Survival. The Journal of Immunology. 196(10). 4003–4013. 7 indexed citations
13.
Goplen, N., Vikas Saxena, Karin M. Knudson, et al.. (2016). IL-12 Signals through the TCR To Support CD8 Innate Immune Responses. The Journal of Immunology. 197(6). 2434–2443. 29 indexed citations
14.
Teixeiro, Emma, et al.. (2015). FTOC-Based Analysis of Negative Selection. Methods in molecular biology. 1323. 141–149. 1 indexed citations
15.
Knudson, Karin M., et al.. (2013). Low-Affinity T Cells Are Programmed to Maintain Normal Primary Responses but Are Impaired in Their Recall to Low-Affinity Ligands. Cell Reports. 4(3). 554–565. 47 indexed citations
16.
Daniëls, Mark A. & Emma Teixeiro. (2010). The persistence of T cell memory. Cellular and Molecular Life Sciences. 67(17). 2863–2878. 10 indexed citations
17.
Daniëls, Mark A., Emma Teixeiro, Jason Gill, et al.. (2006). Thymic selection threshold defined by compartmentalization of Ras/MAPK signalling. Nature. 444(7120). 724–729. 459 indexed citations
18.
Teixeiro, Emma, Mark A. Daniëls, Barbara Hausmann, et al.. (2004). T Cell Division and Death Are Segregated by Mutation of TCRβ Chain Constant Domains. Immunity. 21(4). 515–526. 35 indexed citations
19.
Treviño, Miguel Á., Emma Teixeiro, & Rafael Bragado. (2004). CD8+ T cells oligoclonally expanded in synovial fluid at onset of spondyloarthropathy selectively proliferate in response to self-antigens: characterization of cell specificities in nonclonal populations.. PubMed. 31(10). 1962–72. 10 indexed citations
20.
Teixeiro, Emma, Patricia Fuentes, Begoña Galocha, Balbino Alarcón, & Rafael Bragado. (2002). T Cell Receptor-mediated Signal Transduction Controlled by the β Chain Transmembrane Domain. Journal of Biological Chemistry. 277(6). 3993–4002. 10 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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