Clément Barjon

646 total citations
17 papers, 529 citations indexed

About

Clément Barjon is a scholar working on Immunology, Molecular Biology and Transplantation. According to data from OpenAlex, Clément Barjon has authored 17 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 5 papers in Molecular Biology and 2 papers in Transplantation. Recurrent topics in Clément Barjon's work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers) and Galectins and Cancer Biology (5 papers). Clément Barjon is often cited by papers focused on Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers) and Galectins and Cancer Biology (5 papers). Clément Barjon collaborates with scholars based in France, Belgium and Japan. Clément Barjon's co-authors include Pierre Busson, Claire Gourzonès, Toshiro Niki, Olivier Moralès, Nadira Delhem, Rami Mustapha, Véronique Pancré, Yvan de Launoit, Nathalie Martin and J. Guigay and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Clément Barjon

17 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clément Barjon France 12 320 217 203 134 30 17 529
Mordehay Klepfish Israel 5 199 0.6× 155 0.7× 170 0.8× 91 0.7× 22 0.7× 6 444
Zhenghua Lu China 8 202 0.6× 207 1.0× 245 1.2× 110 0.8× 31 1.0× 21 516
Maya Fedeli Italy 11 265 0.8× 179 0.8× 100 0.5× 139 1.0× 20 0.7× 19 440
Shriram K. Sundararaman United States 6 272 0.8× 180 0.8× 210 1.0× 82 0.6× 18 0.6× 8 506
Haizhou Xing China 11 180 0.6× 192 0.9× 208 1.0× 81 0.6× 29 1.0× 31 561
Jimin Son South Korea 8 277 0.9× 101 0.5× 209 1.0× 55 0.4× 29 1.0× 14 438
Andressa S. Laino United States 11 273 0.9× 204 0.9× 382 1.9× 45 0.3× 40 1.3× 20 582
Xile Zhou China 7 163 0.5× 193 0.9× 212 1.0× 76 0.6× 38 1.3× 21 424
Francesca Besi Italy 11 497 1.6× 231 1.1× 303 1.5× 101 0.8× 23 0.8× 22 671
Jens Pahl Germany 12 565 1.8× 187 0.9× 418 2.1× 90 0.7× 18 0.6× 20 794

Countries citing papers authored by Clément Barjon

Since Specialization
Citations

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

Fields of papers citing papers by Clément Barjon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clément Barjon

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

All Works

17 of 17 papers shown
1.
Barjon, Clément, et al.. (2024). Camelid‐derived Tcell engagers harnessing human γδ T cells as promising antitumor immunotherapeutic agents. European Journal of Immunology. 54(8). e2350773–e2350773. 5 indexed citations
2.
Dahlqvist, Géraldine, et al.. (2020). Modulatory effect of rapamycin and tacrolimus on monocyte-derived dendritic cells phenotype and function. Immunobiology. 226(1). 152031–152031. 6 indexed citations
3.
Barjon, Clément, Géraldine Dahlqvist, Khaldoun Ghazal, et al.. (2020). Influence of everolimus-based treatment on circulating regulatory T cells after liver transplantation: Comparative study with tacrolimus-based therapy. Clinics and Research in Hepatology and Gastroenterology. 45(5). 101559–101559. 6 indexed citations
4.
Barjon, Clément, Naoill Abdellaoui, Cécile Déjou, et al.. (2020). Identification of a regulatory Vδ1 gamma delta T cell subpopulation expressing CD73 in human breast cancer. Journal of Leukocyte Biology. 107(6). 1057–1067. 38 indexed citations
5.
Barjon, Clément, et al.. (2020). Pro-tumor γδ T Cells in Human Cancer: Polarization, Mechanisms of Action, and Implications for Therapy. Frontiers in Immunology. 11. 30 indexed citations
6.
Ghazal, Khaldoun, Olivier Moralès, Clément Barjon, et al.. (2019). Early high levels of regulatory T cells and T helper 1 may predict the progression of recurrent hepatitis C after liver transplantation. Clinics and Research in Hepatology and Gastroenterology. 43(3). 273–281. 4 indexed citations
7.
Lhuillier, Claire, Clément Barjon, Toshiro Niki, et al.. (2018). Characterization of neutralizing antibodies reacting with the 213-224 amino-acid segment of human galectin-9. PLoS ONE. 13(9). e0202512–e0202512. 14 indexed citations
8.
Ghazal, Khaldoun, Fabien Stenard, Géraldine Dahlqvist, et al.. (2017). Treatment with mTOR inhibitors after liver transplantation enables a sustained increase in regulatory T-cells while preserving their suppressive capacity. Clinics and Research in Hepatology and Gastroenterology. 42(3). 237–244. 19 indexed citations
9.
Barjon, Clément, Henri‐Alexandre Michaud, Cécile Déjou, et al.. (2017). IL-21 promotes the development of a CD73-positive Vγ9Vδ2 T cell regulatory population. OncoImmunology. 7(1). e1379642–e1379642. 27 indexed citations
10.
Lhuillier, Claire, Clément Barjon, Toshiro Niki, et al.. (2015). Impact of Exogenous Galectin-9 on Human T Cells. Journal of Biological Chemistry. 290(27). 16797–16811. 50 indexed citations
11.
Barjon, Clément, Géraldine Dahlqvist, Yvon Calmus, & Filoména Conti. (2015). Role of regulatory T-cells during hepatitis C infection: From the acute phase to post-transplantation recurrence. Digestive and Liver Disease. 47(11). 913–917. 18 indexed citations
12.
Martin, Nathan, Clément Barjon, Rami Mustapha, et al.. (2015). 19 Effect of nasopharyngeal carcinoma-derived exosomes on human regulatory T cells. Oral Oncology. 51(5). e33–e33. 23 indexed citations
13.
Martin, Nathalie, Clément Barjon, Rami Mustapha, et al.. (2014). Effect of Nasopharyngeal Carcinoma-Derived Exosomes on Human Regulatory T Cells. JNCI Journal of the National Cancer Institute. 107(1). 363–363. 179 indexed citations
14.
Barjon, Clément, Toshiro Niki, Benjamin Vérillaud, et al.. (2012). A novel monoclonal antibody for detection of galectin-9 in tissue sections: application to human tissues infected by oncogenic viruses. Infectious Agents and Cancer. 7(1). 16–16. 14 indexed citations
15.
Gourzonès, Claire, Clément Barjon, & Pierre Busson. (2012). Host–tumor interactions in nasopharyngeal carcinomas. Seminars in Cancer Biology. 22(2). 127–136. 84 indexed citations
16.
Gressette, Mélanie, et al.. (2011). Rapid obtention of stable, bioluminescent tumor cell lines using a tCD2-luciferase chimeric construct. BMC Biotechnology. 11(1). 26–26. 1 indexed citations
17.
Barjon, Clément, Karine Wecker, Nadia Izadi‐Pruneyre, & Philippe Delepelaire. (2007). Mutagenesis and Molecular Modeling Reveal Three Key Extracellular Loops of the Membrane Receptor HasR That Are Involved in Hemophore HasA Binding. Journal of Bacteriology. 189(14). 5379–5382. 11 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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