Laurent Sabbagh

1.1k total citations
21 papers, 888 citations indexed

About

Laurent Sabbagh is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Laurent Sabbagh has authored 21 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 10 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Laurent Sabbagh's work include Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (6 papers) and T-cell and B-cell Immunology (6 papers). Laurent Sabbagh is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (6 papers) and T-cell and B-cell Immunology (6 papers). Laurent Sabbagh collaborates with scholars based in Canada, United States and South Korea. Laurent Sabbagh's co-authors include Tania H. Watts, Yuanqing Liu, Erdyni N. Tsitsikov, Laura M. Snell, Nobuyuki Ono, Alisha R. Elford, Håkan Hall, Marc Pellegrini, Tak W. Mak and Thomas Calzascia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Laurent Sabbagh

20 papers receiving 881 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurent Sabbagh Canada 14 590 260 247 133 68 21 888
Davor Frleta United States 12 491 0.8× 227 0.9× 234 0.9× 86 0.6× 199 2.9× 18 847
Jangsuk Oh United States 16 989 1.7× 418 1.6× 334 1.4× 102 0.8× 56 0.8× 28 1.4k
Robert Wadley Australia 10 982 1.7× 250 1.0× 276 1.1× 45 0.3× 38 0.6× 14 1.3k
Andrea De Lerma Barbaro Italy 19 572 1.0× 249 1.0× 244 1.0× 81 0.6× 65 1.0× 41 866
Loes A. Gravestein Netherlands 11 969 1.6× 282 1.1× 178 0.7× 106 0.8× 35 0.5× 11 1.3k
Charles H. Pletcher United States 12 364 0.6× 244 0.9× 196 0.8× 67 0.5× 59 0.9× 18 722
Joseph Bekisz United States 16 440 0.7× 283 1.1× 349 1.4× 94 0.7× 32 0.5× 24 913
Xuezhi Cao China 11 676 1.1× 243 0.9× 311 1.3× 58 0.4× 44 0.6× 16 929
Elisabeth Laine Switzerland 16 836 1.4× 377 1.4× 320 1.3× 104 0.8× 43 0.6× 25 1.4k
Yohko Nakagawa Japan 14 647 1.1× 194 0.7× 226 0.9× 63 0.5× 198 2.9× 33 877

Countries citing papers authored by Laurent Sabbagh

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Sabbagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Sabbagh

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Sabbagh. A scholar is included among the top collaborators of Laurent Sabbagh 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 Laurent Sabbagh. Laurent Sabbagh 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.
Mancini, Arturo, et al.. (2025). Decoding ADGRE5: How Proteolytic Cleavage and Mechanical Forces Unleash Cellular Signals. Cells. 14(16). 1284–1284.
2.
Gross, Florence, Arturo Mancini, Billy Breton, et al.. (2024). EGFR signaling and pharmacology in oncology revealed with innovative BRET-based biosensors. Communications Biology. 7(1). 250–250. 4 indexed citations
3.
Frederick, Daniel R., et al.. (2017). Adjuvant selection regulates gut migration and phenotypic diversity of antigen-specific CD4+ T cells following parenteral immunization. Mucosal Immunology. 11(2). 549–561. 42 indexed citations
4.
Gavegnano, Christina, Jessica H. Brehm, Franck P. Dupuy, et al.. (2017). Novel mechanisms to inhibit HIV reservoir seeding using Jak inhibitors. PLoS Pathogens. 13(12). e1006740–e1006740. 78 indexed citations
5.
Taillefer, Julie, Cédric Carli, Salix Boulet, et al.. (2016). VEGF Requires the Receptor NRP-1 To Inhibit Lipopolysaccharide-Dependent Dendritic Cell Maturation. The Journal of Immunology. 197(10). 3927–3935. 41 indexed citations
6.
Jung, Seung‐Hyun, Susanna Choi, Seung‐Ah Yoo, et al.. (2015). Leukocyte-specific protein 1 regulates T-cell migration in rheumatoid arthritis. Proceedings of the National Academy of Sciences. 112(47). E6535–43. 28 indexed citations
7.
Pike, Kelly A., Andrew P. Hutchins, Jean-François Théberge, et al.. (2014). Protein Tyrosine Phosphatase 1B Is a Regulator of the Interleukin-10–Induced Transcriptional Program in Macrophages. Science Signaling. 7(324). ra43–ra43. 51 indexed citations
8.
Soumounou, Youssouf, et al.. (2013). TRAF1 phosphorylation on Serine 139 modulates NF-κB activity downstream of 4-1BB in T cells. Biochemical and Biophysical Research Communications. 432(1). 129–134. 13 indexed citations
9.
Sabbagh, Laurent, et al.. (2013). Leukocyte-specific protein 1 links TNF receptor-associated factor 1 to survival signaling downstream of 4-1BB in T cells. Journal of Leukocyte Biology. 93(5). 713–721. 24 indexed citations
10.
Watts, Tania H., Gloria H. Y. Lin, Chao Wang, et al.. (2010). Role of 4-1BBL and TRAF1 in the CD8 T Cell Response to Influenza Virus and HIV. Advances in experimental medicine and biology. 691. 177–186. 5 indexed citations
11.
Sabbagh, Laurent, et al.. (2008). ERK-Dependent Bim Modulation Downstream of the 4-1BB-TRAF1 Signaling Axis Is a Critical Mediator of CD8 T Cell Survival In Vivo. The Journal of Immunology. 180(12). 8093–8101. 135 indexed citations
12.
Sabbagh, Laurent, Laura M. Snell, & Tania H. Watts. (2007). TNF family ligands define niches for T cell memory. Trends in Immunology. 28(8). 333–339. 65 indexed citations
13.
Calzascia, Thomas, Marc Pellegrini, Håkan Hall, et al.. (2007). TNF-α is critical for antitumor but not antiviral T cell immunity in mice. Journal of Clinical Investigation. 117(12). 3833–45. 188 indexed citations
14.
Sabbagh, Laurent, et al.. (2006). Cloning and Functional Characterization of the Murine Caspase-3 Gene Promoter. DNA and Cell Biology. 25(2). 104–115. 6 indexed citations
15.
Sabbagh, Laurent, et al.. (2006). Triggering of T Cell Activation via CD4 Dimers. The Journal of Immunology. 176(9). 5438–5445. 26 indexed citations
16.
Sabbagh, Laurent, Laura M. Snell, Bradley J. Sedgmen, et al.. (2006). A critical role for TNF receptor-associated factor 1 and Bim down-regulation in CD8 memory T cell survival. Proceedings of the National Academy of Sciences. 103(49). 18703–18708. 72 indexed citations
17.
Cohen, Luchino Y., et al.. (2005). Notch1 antiapoptotic activity is abrogated by caspase cleavage in dying T lymphocytes. Cell Death and Differentiation. 12(3). 243–254. 10 indexed citations
18.
Sabbagh, Laurent, et al.. (2005). Selective up-regulation of caspase-3 gene expression following TCR engagement. Molecular Immunology. 42(11). 1345–1354. 19 indexed citations
19.
Sabbagh, Laurent, Susan M. Kaech, Minna Woo, et al.. (2004). The Selective Increase in Caspase-3 Expression in Effector but Not Memory T Cells Allows Susceptibility to Apoptosis. The Journal of Immunology. 173(9). 5425–5433. 53 indexed citations
20.

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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