Virginie Mathias

658 total citations
7 papers, 118 citations indexed

About

Virginie Mathias is a scholar working on Transplantation, Immunology and Hematology. According to data from OpenAlex, Virginie Mathias has authored 7 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Transplantation, 3 papers in Immunology and 2 papers in Hematology. Recurrent topics in Virginie Mathias's work include Renal Transplantation Outcomes and Treatments (2 papers), Immune Cell Function and Interaction (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Virginie Mathias is often cited by papers focused on Renal Transplantation Outcomes and Treatments (2 papers), Immune Cell Function and Interaction (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Virginie Mathias collaborates with scholars based in France, Nigeria and Belgium. Virginie Mathias's co-authors include Thomas Barba, Emmanuel Morélon, Olivier Thaunat, Maud Rabeyrin, Alice Koenig, A Sicard, Valérie Dubois, Frédérique Dijoud, Jean‐Christophe Olivo‐Marín and Maarten Naesens and has published in prestigious journals such as Blood, Kidney International and Journal of the American Society of Nephrology.

In The Last Decade

Virginie Mathias

5 papers receiving 117 citations

Peers

Countries citing papers authored by Virginie Mathias

Since Specialization

Citations

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

Fields of papers citing papers by Virginie Mathias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginie Mathias

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

All Works

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7 of 7 papers shown

#	Work	Indexed citations
1	γδ T Cells’ Role in Donor-Specific Antibody Generation: Insights From Transplant Recipients and Experimental Models 2025 ·Transplant International ·Xavier Charmetant, (unknown), Chien‐Chia Chen, Hannah Kaminski, Jonathan Visentin, Benjamin Taton, (unknown), Virginie Mathias, Alice Koenig, Thomas Barba, Pierre Merville, Stéphanie Graff‐Dubois, (unknown), Julie Déchanet‐Merville, Valérie Dubois, Jean–Paul Duong Van Huyen, Lionel Couzi, Olivier Thaunat	0
2	Long-Term Persistence of Mixed Full Donor Chimerism after Double Cord Blood Transplantation. Example of Tolerance in Allogeneic Hematopoietic Cell Transplantation Setting 2022 ·Blood ·Carole Saison, Virginie Mathias, Marie Balsat, Fiorenza Barraco, Sophie Ducastelle, (unknown), Hélène Labussière‐Wallet, (unknown), (unknown), Valérie Dubois, Mauricette Michallet	0
3	The ROMANOV study found impaired humoral and cellular immune responses to SARS-CoV-2 mRNA vaccine in virus-unexposed patients receiving maintenance hemodialysis 2021 ·Kidney International ·Maxime Espi, Xavier Charmetant, Thomas Barba, Laetitia Koppe, Caroline Pelletier, Emilie Kalbacher, (unknown), Virginie Mathias, Anne Ovize, (unknown), (unknown), (unknown), Emmanuel Morélon, Denis Fouque, Laurent Juillard, Olivier Thaunat	50
4	Missing Self-Induced Activation of NK Cells Combines with Non-Complement-Fixing Donor-Specific Antibodies to Accelerate Kidney Transplant Loss in Chronic Antibody-Mediated Rejection 2020 ·Journal of the American Society of Nephrology ·Alice Koenig, (unknown), Jasper Callemeyn, Thomas Barba, Virginie Mathias, A Sicard, Béatrice Charreau, Maud Rabeyrin, Frédérique Dijoud, Cécile Picard, Vannary Meas‐Yedid, Jean‐Christophe Olivo‐Marín, Emmanuel Morélon, Maarten Naesens, Valérie Dubois, Olivier Thaunat	53
5	Highly Variable Sialylation Status of Donor-Specific Antibodies Does Not Impact Humoral Rejection Outcomes 2019 ·Frontiers in Immunology ·Thomas Barba, Jean Harb, Stéphanie Ducreux, Alice Koenig, Virginie Mathias, Maud Rabeyrin, (unknown), A Sicard, (unknown), Emilie Dugast, Thierry Defrance, Emmanuel Morélon, Sophie Brouard, Valérie Dubois, Olivier Thaunat	9
6	Lymphodepletive effects of rabbit anti-pig thymocyte globulin in neonatal swines 2016 ·Transplant Immunology ·Hua Pan, Aram Gazarian, Isabelle Mollet, Virginie Mathias, Valérie Dubois, Mohamad Sobh, Samuel Buff, Jean‐Michel Dubernard, Mauricette Michallet, Marie‐Cécile Michallet, (unknown), (unknown)	3
7	Induction of high expression of CCR7 and high production of IL-12 in human monocyte-derived dendritic cells by a new bacterial component: LCOS 1013 2008 ·International Immunopharmacology ·(unknown), Karine Duperrier, (unknown), Virginie Mathias, (unknown), Janine Bernaud, (unknown), Jacques Bienvenu, Dominique Rigal	3

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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