Emile Foucat

2.1k total citations · 1 hit paper
13 papers, 1.4k citations indexed

About

Emile Foucat is a scholar working on Surgery, Infectious Diseases and Virology. According to data from OpenAlex, Emile Foucat has authored 13 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Infectious Diseases and 4 papers in Virology. Recurrent topics in Emile Foucat's work include HIV Research and Treatment (3 papers), Diabetes and associated disorders (3 papers) and Immune Cell Function and Interaction (3 papers). Emile Foucat is often cited by papers focused on HIV Research and Treatment (3 papers), Diabetes and associated disorders (3 papers) and Immune Cell Function and Interaction (3 papers). Emile Foucat collaborates with scholars based in France, United States and Japan. Emile Foucat's co-authors include Hideki Ueno, Jacques Banchereau, Laure Bourdery, Nathalie Schmitt, Rajaram Ranganathan, Mélissa Dullaers, Rimpei Morita, Marilynn Punaro, Salah-Eddine Bentebibel and Gérard Zurawski and has published in prestigious journals such as Immunity, The Journal of Immunology and PLoS ONE.

In The Last Decade

Emile Foucat

11 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human Blood CXCR5+CD4+ T Cells Are Counterparts of T Follicular Cells and Contain Specific Subsets that Differentially Support Antibody Secretion

2011 1.2k citations Rimpei Morita, Nathalie Schmitt et al. Immunity profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emile Foucat France	9	1.1k	192	168	150	148	13	1.4k
Laure Bourdery United States	6	1.6k 1.5×	222 1.2×	134 0.8×	191 1.3×	159 1.1×	7	1.9k
John Castiblanco Colombia	18	504 0.5×	162 0.8×	132 0.8×	276 1.8×	97 0.7×	28	1.0k
Sarah C. Sasson Australia	16	1.5k 1.4×	331 1.7×	247 1.5×	90 0.6×	258 1.7×	40	2.1k
Daniele Accapezzato Italy	19	987 0.9×	428 2.2×	160 1.0×	171 1.1×	134 0.9×	47	1.6k
Vittorio Francavilla Italy	16	878 0.8×	316 1.6×	105 0.6×	81 0.5×	203 1.4×	31	1.3k
Eduard Palou Spain	18	373 0.4×	241 1.3×	197 1.2×	99 0.7×	171 1.2×	53	995
Bernd M. Spriewald Germany	26	790 0.7×	172 0.9×	98 0.6×	199 1.3×	138 0.9×	74	1.7k
Jacques Clot France	20	718 0.7×	154 0.8×	195 1.2×	128 0.9×	411 2.8×	44	1.2k
Paul L. Klarenbeek Netherlands	19	561 0.5×	246 1.3×	69 0.4×	269 1.8×	62 0.4×	35	1.0k
Pierre Portalès France	21	671 0.6×	256 1.3×	278 1.7×	92 0.6×	520 3.5×	54	1.3k

Countries citing papers authored by Emile Foucat

Since Specialization

Citations

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

Fields of papers citing papers by Emile Foucat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emile Foucat

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

All Works

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13 of 13 papers shown

1.

Wiedemann, Aurélie, Mathieu Surénaud, Mathieu Hubert, et al.. (2025). Characterization and comparison of immunity against MPXV for individuals infected with MPXV or vaccinated with modified vaccinia Ankara vaccines. The Journal of Immunology. 214(2). 211–222.

2.

Lacabaratz, Christine, Aurélie Wiedemann, Emile Foucat, et al.. (2024). Innate and Cellular Immune Response to the Ebola Vaccine Ad26.ZEBOV, MVA-BN-Filo: An Ancillary Study of the EBL2001 Phase 2 Trial. The Journal of Infectious Diseases. 231(1). 230–240.

3.

Lévy, Yves, Christine Lacabaratz, Aurélie Wiedemann, et al.. (2021). A Randomized Placebo-Controlled Efficacy Study of a Prime Boost Therapeutic Vaccination Strategy in HIV-1-Infected Individuals: VRI02 ANRS 149 LIGHT Phase II Trial. Journal of Virology. 95(9). 8 indexed citations

4.

Bouadma, Lila, Aurélie Wiedemann, Juliette Patrier, et al.. (2020). Immune Alterations in a Patient with SARS-CoV-2-Related Acute Respiratory Distress Syndrome. Journal of Clinical Immunology. 40(8). 1082–1092. 35 indexed citations

5.

Hocini, Hakim, Henri Bonnabau, Christine Lacabaratz, et al.. (2019). HIV Controllers Have Low Inflammation Associated with a Strong HIV-Specific Immune Response in Blood. Journal of Virology. 93(10). 29 indexed citations

6.

Thiébaut, Rodolphe, Sophie Hüe, Jean‐Daniel Lelièvre, et al.. (2017). Serum suppression of tumorigenicity 2 level is an independent predictor of all-cause mortality in HIV-infected patients. AIDS. 31(17). 2355–2365. 6 indexed citations

7.

Paillaud, Éléna, Sylvie Bastuji‐Garin, Anne Plonquet, et al.. (2017). Combined Plasma Elevation of CRP, Intestinal-Type Fatty Acid-Binding Protein (I-FABP), and sCD14 Identify Older Patients at High Risk for Health Care-Associated Infections. The Journals of Gerontology Series A. 73(2). 211–217. 7 indexed citations

8.

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

9.

Chujo, Daisuke, Emile Foucat, Derek Blankenship, et al.. (2015). Adult-onset type 1 diabetes patients display decreased IGRP-specific Tr1 cells in blood. Clinical Immunology. 161(2). 270–277. 23 indexed citations

10.

Chujo, Daisuke, et al.. (2013). ZnT8-Specific CD4+ T Cells Display Distinct Cytokine Expression Profiles between Type 1 Diabetes Patients and Healthy Adults. PLoS ONE. 8(2). e55595–e55595. 25 indexed citations

11.

Chujo, Daisuke, Emile Foucat, Morihito Takita, et al.. (2012). Emergence of a Broad Repertoire of GAD65-Specific T-Cells in Type 1 Diabetes Patients with Graft Dysfunction after Allogeneic Islet Transplantation. Cell Transplantation. 21(12). 2783–2795. 15 indexed citations

12.

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

13.

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 →

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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