Laure Bourdery

2.5k total citations · 1 hit paper
7 papers, 1.9k citations indexed

About

Laure Bourdery is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Laure Bourdery has authored 7 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Oncology and 1 paper in Molecular Biology. Recurrent topics in Laure Bourdery's work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (3 papers). Laure Bourdery is often cited by papers focused on Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (3 papers). Laure Bourdery collaborates with scholars based in United States and France. Laure Bourdery's co-authors include Nathalie Schmitt, Jacques Banchereau, Hideki Ueno, Rimpei Morita, Salah-Eddine Bentebibel, Virginia Pascual, Emile Foucat, Rajaram Ranganathan, Mélissa Dullaers and Marilynn Punaro and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Immunity.

In The Last Decade

Laure Bourdery

7 papers receiving 1.9k citations

Hit Papers

Human Blood CXCR5+CD4+ T Cells Are Counterparts of T Foll... 2011 2026 2016 2021 2011 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laure Bourdery United States 6 1.6k 222 209 191 159 7 1.9k
Emile Foucat France 9 1.1k 0.7× 192 0.9× 125 0.6× 150 0.8× 148 0.9× 13 1.4k
Salah-Eddine Bentebibel United States 11 2.2k 1.4× 407 1.8× 395 1.9× 227 1.2× 214 1.3× 19 2.8k
Daniele Accapezzato Italy 19 987 0.6× 428 1.9× 204 1.0× 171 0.9× 134 0.8× 47 1.6k
Bernd M. Spriewald Germany 26 790 0.5× 172 0.8× 114 0.5× 199 1.0× 138 0.9× 74 1.7k
Dimitra Zotos Australia 13 1.2k 0.7× 112 0.5× 180 0.9× 95 0.5× 71 0.4× 16 1.4k
Roman Krzysiek France 23 1.6k 1.0× 304 1.4× 732 3.5× 191 1.0× 360 2.3× 46 2.4k
Vittorio Francavilla Italy 16 878 0.5× 316 1.4× 148 0.7× 81 0.4× 203 1.3× 31 1.3k
Mindi Walker United States 15 1.5k 1.0× 112 0.5× 316 1.5× 68 0.4× 88 0.6× 25 1.8k
Lela Kardava United States 23 1.2k 0.8× 318 1.4× 251 1.2× 81 0.4× 325 2.0× 36 2.0k
John Castiblanco Colombia 18 504 0.3× 162 0.7× 83 0.4× 276 1.4× 97 0.6× 28 1.0k

Countries citing papers authored by Laure Bourdery

Since Specialization
Citations

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

Fields of papers citing papers by Laure Bourdery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laure Bourdery

This figure shows the co-authorship network connecting the top 25 collaborators of Laure Bourdery. A scholar is included among the top collaborators of Laure Bourdery 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 Laure Bourdery. Laure Bourdery 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.
Hocini, Hakim, Emile Foucat, Pascaline Tisserand, et al.. (2016). P2X7 Receptor Inhibition Improves CD34 T-Cell Differentiation in HIV-Infected Immunological Nonresponders on c-ART. PLoS Pathogens. 12(4). e1005571–e1005571. 21 indexed citations
2.
Schmitt, Nathalie, Yang Liu, Salah-Eddine Bentebibel, et al.. (2014). The cytokine TGF-β co-opts signaling via STAT3-STAT4 to promote the differentiation of human TFH cells. Nature Immunology. 15(9). 856–865. 254 indexed citations
3.
Schmitt, Nathalie, Jacinta Bustamante, Laure Bourdery, et al.. (2013). IL-12 receptor β1 deficiency alters in vivo T follicular helper cell response in humans. Blood. 121(17). 3375–3385. 124 indexed citations
4.
Morita, Rimpei, Nathalie Schmitt, Salah-Eddine Bentebibel, et al.. (2011). Human Blood CXCR5+CD4+ T Cells Are Counterparts of T Follicular Cells and Contain Specific Subsets that Differentially Support Antibody Secretion. Immunity. 34(1). 135–135. 32 indexed citations
5.
Morita, Rimpei, Nathalie Schmitt, Salah-Eddine Bentebibel, et al.. (2011). Human Blood CXCR5+CD4+ T Cells Are Counterparts of T Follicular Cells and Contain Specific Subsets that Differentially Support Antibody Secretion. Immunity. 34(1). 108–121. 1209 indexed citations breakdown →
6.
Palucka, Karolina, Hideki Ueno, Gabrielle L. Goldberg, et al.. (2010). Long-term survival and long-lived immune memory in patients with metastatic melanoma vaccinated with melanoma-antigen loaded dendritic cells.. Journal of Clinical Oncology. 28(15_suppl). e19018–e19018. 1 indexed citations
7.
Schmitt, Nathalie, Rimpei Morita, Laure Bourdery, et al.. (2009). Human Dendritic Cells Induce the Differentiation of Interleukin-21-Producing T Follicular Helper-like Cells through Interleukin-12. Immunity. 31(1). 158–169. 277 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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