Javier Celis‐Gutierrez

681 total citations
7 papers, 254 citations indexed

About

Javier Celis‐Gutierrez is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Javier Celis‐Gutierrez has authored 7 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Javier Celis‐Gutierrez's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (3 papers). Javier Celis‐Gutierrez is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (3 papers). Javier Celis‐Gutierrez collaborates with scholars based in France, United States and Switzerland. Javier Celis‐Gutierrez's co-authors include Claude Grégoire, Bernard Malissen, Romain Roncagalli, Frédéric Di Fiore, Yunhao Zhai, Peter Blattmann, Ruedi Aebersold, Matthias Gstaiger, Daniel Olive and Jacques A. Nunès and has published in prestigious journals such as The Journal of Experimental Medicine, The EMBO Journal and Frontiers in Immunology.

In The Last Decade

Javier Celis‐Gutierrez

6 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Celis‐Gutierrez France 5 201 114 68 11 11 7 254
Hristo Georgiev Germany 10 299 1.5× 112 1.0× 52 0.8× 12 1.1× 8 0.7× 18 357
Alfie T. Baker United Kingdom 8 214 1.1× 118 1.0× 63 0.9× 11 1.0× 13 1.2× 10 302
Ignacio Casas-Avilés Spain 4 205 1.0× 146 1.3× 39 0.6× 8 0.7× 6 0.5× 4 254
Ilse Houtenbos Netherlands 10 145 0.7× 100 0.9× 51 0.8× 9 0.8× 12 1.1× 20 216
Kane Kaosaard United States 6 258 1.3× 75 0.7× 55 0.8× 6 0.5× 8 0.7× 8 317
Johanna Chiffelle Switzerland 6 143 0.7× 110 1.0× 102 1.5× 13 1.2× 6 0.5× 9 234
Dorys Lopez-Ramos Germany 5 154 0.8× 160 1.4× 69 1.0× 26 2.4× 7 0.6× 6 246
Eiji Esashi Japan 7 294 1.5× 84 0.7× 38 0.6× 5 0.5× 8 0.7× 11 342
Jessica S.W. Borgers Netherlands 8 110 0.5× 115 1.0× 44 0.6× 18 1.6× 6 0.5× 13 197
Dan Fu Ruan United States 4 179 0.9× 140 1.2× 30 0.4× 14 1.3× 5 0.5× 5 229

Countries citing papers authored by Javier Celis‐Gutierrez

Since Specialization
Citations

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

Fields of papers citing papers by Javier Celis‐Gutierrez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Celis‐Gutierrez. 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 Javier Celis‐Gutierrez. The network helps show where Javier Celis‐Gutierrez may publish in the future.

Co-authorship network of co-authors of Javier Celis‐Gutierrez

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Celis‐Gutierrez. A scholar is included among the top collaborators of Javier Celis‐Gutierrez 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 Javier Celis‐Gutierrez. Javier Celis‐Gutierrez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Zhang, Fanghui, Javier Celis‐Gutierrez, Lichen Zhang, et al.. (2025). A CARMIL2 gain-of-function mutation suffices to trigger most CD28 costimulatory functions in vivo. The Journal of Experimental Medicine. 222(8).
2.
Celis‐Gutierrez, Javier, Stéphane Audebert, Marie Malissen, et al.. (2023). Mapping the SLP76 interactome in T cells lacking each of the GRB2-family adaptors reveals molecular plasticity of the TCR signaling pathway. Frontiers in Immunology. 14. 1139123–1139123. 1 indexed citations
3.
Mori, Daiki, Guillaume Voisinne, Javier Celis‐Gutierrez, et al.. (2022). Systems-level conservation of the proximal TCR signaling network of mice and humans. The Journal of Experimental Medicine. 219(2). 7 indexed citations
4.
Mori, Daiki, Claude Grégoire, Guillaume Voisinne, et al.. (2020). The T cell CD6 receptor operates a multitask signalosome with opposite functions in T cell activation. The Journal of Experimental Medicine. 218(2). 42 indexed citations
5.
Celis‐Gutierrez, Javier, Peter Blattmann, Yunhao Zhai, et al.. (2019). Quantitative Interactomics in Primary T Cells Provides a Rationale for Concomitant PD-1 and BTLA Coinhibitor Blockade in Cancer Immunotherapy. Cell Reports. 27(11). 3315–3330.e7. 117 indexed citations
6.
Celis‐Gutierrez, Javier, Thierry Walzer, Pier Paolo Pandolfi, et al.. (2014). Dok1 and Dok2 proteins regulate natural killer cell development and function. The EMBO Journal. 33(17). 1928–1940. 33 indexed citations
7.
Mamessier, Émilie, Aude Sylvain, Javier Celis‐Gutierrez, et al.. (2011). Differential role for CD277 as a co‐regulator of the immune signal in T and NK cells. European Journal of Immunology. 41(12). 3443–3454. 54 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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