Pierre Bourdely

898 total citations
16 papers, 533 citations indexed

About

Pierre Bourdely is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Pierre Bourdely has authored 16 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 6 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Pierre Bourdely's work include Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (7 papers) and Immune Cell Function and Interaction (7 papers). Pierre Bourdely is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (7 papers) and Immune Cell Function and Interaction (7 papers). Pierre Bourdely collaborates with scholars based in France, United Kingdom and Germany. Pierre Bourdely's co-authors include Pierre Guermonprez, Julie Helft, Kristīne Vaivode, Giorgio Anselmi, Yoann Missolo-Koussou, Alka Saxena, Kristie Wood, Anne Vincent‐Salomon, Eliane Piaggio and Grégory Verdeil and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

Pierre Bourdely

15 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pierre Bourdely France	9	415	217	105	46	30	16	533
Samuel Alsén Sweden	9	513 1.2×	277 1.3×	191 1.8×	41 0.9×	28 0.9×	15	737
Maria Teresa Rodia Italy	9	242 0.6×	158 0.7×	103 1.0×	44 1.0×	28 0.9×	12	451
Kai Sontheimer Germany	6	537 1.3×	184 0.8×	75 0.7×	36 0.8×	15 0.5×	7	653
Korina G. Veenstra United States	6	317 0.8×	216 1.0×	139 1.3×	19 0.4×	37 1.2×	8	484
Sebastian Klobuch Germany	14	194 0.5×	224 1.0×	137 1.3×	34 0.7×	20 0.7×	36	463
Bettina P. Iliopoulou United States	10	323 0.8×	250 1.2×	101 1.0×	26 0.6×	30 1.0×	15	531
Maude Guillot‐Delost France	12	319 0.8×	221 1.0×	90 0.9×	39 0.8×	33 1.1×	14	468
Lindsay K. Ward-Kavanagh United States	4	224 0.5×	142 0.7×	73 0.7×	35 0.8×	34 1.1×	5	344
Anniek B. van der Waart Netherlands	13	458 1.1×	360 1.7×	150 1.4×	22 0.5×	16 0.5×	22	638
Irene Olivera Spain	12	360 0.9×	259 1.2×	139 1.3×	39 0.8×	39 1.3×	24	544

Countries citing papers authored by Pierre Bourdely

Since Specialization

Citations

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

Fields of papers citing papers by Pierre Bourdely

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Bourdely

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

All Works

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16 of 16 papers shown

Guelfi, Sophie, Gerlanda Vella, Max Nobis, et al.. (2025). Murine vascular organoids are responsive and adaptable 3D systems with cellular heterogeneity and dynamic plasticity. Science Advances. 11(43). eady4738–eady4738.

Koumantou, Despoina, Pierre Bourdely, Erwan Boedec, et al.. (2024). Specific Requirement of the p84/p110γ Complex of PI3Kγ for Antibody‐Activated, Inducible Cross‐Presentation in Murine Type 2 DCs. Advanced Science. 11(44). e2401179–e2401179. 1 indexed citations

Gerber-Ferder, Yohan, et al.. (2023). In Vitro Generation of Murine Bone Marrow–Derived Dendritic Cells. Methods in molecular biology. 2618. 83–92. 1 indexed citations

Guyot, Mélanie, Thomas Simon, Douglas Daoudlarian, et al.. (2023). Environmental signals perceived by the brain abate pro-metastatic monocytes by dampening glucocorticoids receptor signaling. Cancer Cell International. 23(1). 15–15. 1 indexed citations

Bourdely, Pierre, Luciana Petti, Aïda Meghraoui, et al.. (2022). Autofluorescence identifies highly phagocytic tissue-resident macrophages in mouse and human skin and cutaneous squamous cell carcinoma. Frontiers in Immunology. 13. 903069–903069. 6 indexed citations

Luci, Carmelo, Franck Bihl, Pierre Bourdely, et al.. (2021). Cutaneous Squamous Cell Carcinoma Development Is Associated with a Temporal Infiltration of ILC1 and NK Cells with Immune Dysfunctions. Journal of Investigative Dermatology. 141(10). 2369–2379. 23 indexed citations

Pievani, Alice, Giorgio Anselmi, Jochen Utikal, et al.. (2021). Harnessing Mesenchymal Stromal Cells for the Engineering of Human Hematopoietic Niches. Frontiers in Immunology. 12. 631279–631279. 9 indexed citations

Popa, Alexandra, Carmelo Luci, Franck Bihl, et al.. (2020). Tumor-Associated Neutrophils Dampen Adaptive Immunity and Promote Cutaneous Squamous Cell Carcinoma Development. Cancers. 12(7). 1860–1860. 35 indexed citations

Anselmi, Giorgio, Kristīne Vaivode, Charles‐Antoine Dutertre, et al.. (2020). Engineered niches support the development of human dendritic cells in humanized mice. Nature Communications. 11(1). 2054–2054. 18 indexed citations

10.

Bourdely, Pierre, Giorgio Anselmi, Kristīne Vaivode, et al.. (2020). Transcriptional and Functional Analysis of CD1c+ Human Dendritic Cells Identifies a CD163+ Subset Priming CD8+CD103+ T Cells. Immunity. 53(2). 335–352.e8. 227 indexed citations

11.

Guermonprez, Pierre, Yohan Gerber-Ferder, Kristīne Vaivode, Pierre Bourdely, & Julie Helft. (2019). Origin and development of classical dendritic cells. International review of cell and molecular biology. 349. 1–54. 24 indexed citations

12.

Idziorek, Thierry, Julie Cazareth, Catherine Blanc, et al.. (2018). Que la lumière soit. Et si ce n’était plus seulement vrai !. médecine/sciences. 34(5). 439–447. 1 indexed citations

13.

Bourdely, Pierre, Carmelo Luci, Nathalie Dereuddre‐Bosquet, et al.. (2017). Sublingual Priming with a HIV gp41-Based Subunit Vaccine Elicits Mucosal Antibodies and Persistent B Memory Responses in Non-Human Primates. Frontiers in Immunology. 8. 63–63. 7 indexed citations

14.

Luci, Carmelo, Franck Bihl, Pierre Bourdely, et al.. (2015). NKp46+ Innate Lymphoid Cells Dampen Vaginal CD8 T Cell Responses following Local Immunization with a Cholera Toxin-Based Vaccine. PLoS ONE. 10(12). e0143224–e0143224. 9 indexed citations

15.

Giordano, Marilyn, Julien Maurizio, Pierre Bourdely, et al.. (2015). Molecular profiling of CD 8 T cells in autochthonous melanoma identifies Maf as driver of exhaustion. The EMBO Journal. 34(15). 2042–2058. 95 indexed citations

16.

Giordano, Marilyn, Romain Roncagalli, Pierre Bourdely, et al.. (2014). The tumor necrosis factor alpha-induced protein 3 (TNFAIP3, A20) imposes a brake on antitumor activity of CD8 T cells. Proceedings of the National Academy of Sciences. 111(30). 11115–11120. 76 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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