Hélène Beuneu

488 total citations
8 papers, 399 citations indexed

About

Hélène Beuneu is a scholar working on Immunology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Hélène Beuneu has authored 8 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 1 paper in Epidemiology and 0 papers in Infectious Diseases. Recurrent topics in Hélène Beuneu's work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers) and Immunotherapy and Immune Responses (7 papers). Hélène Beuneu is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers) and Immunotherapy and Immune Responses (7 papers). Hélène Beuneu collaborates with scholars based in France, United States and Israel. Hélène Beuneu's co-authors include Philippe Bousso, Zacarias Garcia, Susanna Celli, Jacques Deguine, James P. Di Santo, Isabelle Bouvier, Matthew L. Albert, Fabrice Lemaı̂tre, Béatrice Bréart and Michael L. Dustin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.

In The Last Decade

Hélène Beuneu

8 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hélène Beuneu France 8 357 78 48 30 18 8 399
Marie‐Hélène Donnadieu France 4 305 0.9× 61 0.8× 67 1.4× 13 0.4× 13 0.7× 4 358
Sandro Prato Australia 11 321 0.9× 85 1.1× 75 1.6× 23 0.8× 9 0.5× 13 361
Michael P. Crowley United States 8 560 1.6× 86 1.1× 59 1.2× 45 1.5× 15 0.8× 8 629
Erin D. Lucas United States 9 161 0.5× 134 1.7× 75 1.6× 18 0.6× 57 3.2× 17 315
Chin‐Nien Lee Australia 7 234 0.7× 63 0.8× 90 1.9× 19 0.6× 17 0.9× 7 289
Ognjen Grujic Canada 7 111 0.3× 132 1.7× 97 2.0× 54 1.8× 8 0.4× 10 312
Andrew R. Ferguson United States 10 217 0.6× 96 1.2× 56 1.2× 15 0.5× 22 1.2× 17 282
Jeremy P. Snook United States 7 251 0.7× 88 1.1× 94 2.0× 27 0.9× 34 1.9× 11 359
Jacob Bukczynski Canada 6 347 1.0× 154 2.0× 44 0.9× 40 1.3× 6 0.3× 6 404
Monica Montes United States 7 320 0.9× 73 0.9× 93 1.9× 40 1.3× 13 0.7× 7 358

Countries citing papers authored by Hélène Beuneu

Since Specialization
Citations

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

Fields of papers citing papers by Hélène Beuneu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hélène Beuneu

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

All Works

8 of 8 papers shown
1.
Bohineust, Armelle, Zacarias Garcia, Hélène Beuneu, Fabrice Lemaı̂tre, & Philippe Bousso. (2018). Termination of T cell priming relies on a phase of unresponsiveness promoting disengagement from APCs and T cell division. The Journal of Experimental Medicine. 215(5). 1481–1492. 19 indexed citations
2.
Gottschalk, Rachel A., Hélène Beuneu, Emily Corse, et al.. (2012). Distinct influences of peptide-MHC quality and quantity on in vivo T-cell responses. Proceedings of the National Academy of Sciences. 109(3). 881–886. 68 indexed citations
3.
Beuneu, Hélène, Jacques Deguine, Isabelle Bouvier, et al.. (2011). Cutting Edge: A Dual Role for Type I IFNs during Polyinosinic-Polycytidylic Acid-Induced NK Cell Activation. The Journal of Immunology. 187(5). 2084–2088. 26 indexed citations
4.
Beuneu, Hélène, Fabrice Lemaı̂tre, Jacques Deguine, et al.. (2010). Visualizing the Functional Diversification of CD8+ T Cell Responses in Lymph Nodes. Immunity. 33(3). 412–423. 55 indexed citations
5.
Beuneu, Hélène, Jacques Deguine, Béatrice Bréart, et al.. (2009). Dynamic behavior of NK cells during activation in lymph nodes. Blood. 114(15). 3227–3234. 57 indexed citations
6.
Celli, Susanna, Zacarias Garcia, Hélène Beuneu, & Philippe Bousso. (2008). Decoding the dynamics of T cell–dendritic cell interactions in vivo. Immunological Reviews. 221(1). 182–187. 40 indexed citations
7.
Garcia, Zacarias, et al.. (2007). Competition for antigen determines the stability of T cell–dendritic cell interactions during clonal expansion. Proceedings of the National Academy of Sciences. 104(11). 4553–4558. 76 indexed citations
8.
Beuneu, Hélène, Zacarias Garcia, & Philippe Bousso. (2006). Cutting Edge: Cognate CD4 Help Promotes Recruitment of Antigen-Specific CD8 T Cells around Dendritic Cells. The Journal of Immunology. 177(3). 1406–1410. 58 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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