Mathieu Claireaux

2.2k total citations
15 papers, 142 citations indexed

About

Mathieu Claireaux is a scholar working on Immunology, Infectious Diseases and Virology. According to data from OpenAlex, Mathieu Claireaux has authored 15 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 4 papers in Infectious Diseases and 3 papers in Virology. Recurrent topics in Mathieu Claireaux's work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (6 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Mathieu Claireaux is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (6 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Mathieu Claireaux collaborates with scholars based in Netherlands, United States and France. Mathieu Claireaux's co-authors include Madhura Mukhopadhyay, Daniela Benati, Lisa A. Chakrabarti, Pierre de Truchis, Alexandre Nouël, Faroudy Boufassa, Marit J. van Gils, Apiradee Lim, Fernando Arenzana‐Seisdedos and Jean‐François Delfraissy and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and Scientific Reports.

In The Last Decade

Mathieu Claireaux

13 papers receiving 140 citations

Peers

Countries citing papers authored by Mathieu Claireaux

Since Specialization

Citations

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

Fields of papers citing papers by Mathieu Claireaux

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Claireaux

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

#	Title	Journal	Authors	Indexed citations
1	Innovative Single-Cell Sequencing Techniques for B cell Analysis and Their Implications for Rational HIV-1 Vaccine Design	Current HIV Research	Denise Guerra, Tim Beaumont et al.	0
2	SARS-CoV-2-specific B cell responses in non-draining lymph nodes and antibody functionalities in immunized end-stage renal disease patients	Scientific Reports	Sophie C. Frölke, Daryl Geers et al.	0
3	Longevity of antibody responses is associated with distinct antigen-specific B cell subsets early after infection	Frontiers in Immunology	George Elias, Mathieu Claireaux et al.	1
4	Systematic evaluation of B-cell clonal family inference approaches	BMC Immunology	Barbera D. C. van Schaik, Jeroen E. J. Guikema et al.	2
5	Primary SARS-CoV-2 variant of concern infections elicit broad antibody Fc-mediated effector functions and memory B cell responses	PLoS Pathogens	Denise Guerra, Gius Kerster et al.	1
6	Understanding repertoire sequencing data through a multiscale computational model of the germinal center	npj Systems Biology and Applications	Aldo Jongejan, Tom G. Caniels et al.	3
7	Distinct dynamics of antigen-specific induction and differentiation of different CD11c+Tbet+ B-cell subsets	Journal of Allergy and Clinical Immunology	Mathieu Claireaux, Wouter Olijhoek et al.	18
8	From affinity selection to kinetic selection in Germinal Centre modelling	PLoS Computational Biology	Michael Meyer‐Hermann, Mathieu Claireaux et al.	3
9	Primary antibody response after influenza virus infection is first dominated by low-mutated HA-stem antibodies followed by higher-mutated HA-head antibodies	Frontiers in Immunology	Aafke Aartse, Daniëlla Mortier et al.	3
10	Decreased Passive Immunity to Respiratory Viruses through Human Milk during the COVID-19 Pandemic	Microbiology Spectrum	Marloes Grobben, Karlijn van der Straten et al.	16
11	Influenza A Virus Hemagglutinin Trimer, Head and Stem Proteins Identify and Quantify Different Hemagglutinin-Specific B Cell Subsets in Humans	Vaccines	Aafke Aartse, Dirk Eggink et al.	10
12	A High Frequency of HIV-Specific Circulating Follicular Helper T Cells Is Associated with Preserved Memory B Cell Responses in HIV Controllers	mBio	Mathieu Claireaux, Daniela Benati et al.	29
13	MHC Class II Tetramer Labeling of Human Primary CD4+ T Cells from HIV Infected Patients	BIO-PROTOCOL	Daniela Benati, Mathieu Claireaux et al.	1
14	DNA Vaccination by Electroporation Amplifies Broadly Cross-Restricted Public TCR Clonotypes Shared with HIV Controllers	The Journal of Immunology	Madhura Mukhopadhyay, Sandhya Vasan et al.	6
15	Public T cell receptors confer high-avidity CD4 responses to HIV controllers	Journal of Clinical Investigation	Daniela Benati, Olivier Lambotte et al.	49

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.

Explore authors with similar magnitude of impact