Vincent Maréchal

7.7k total citations · 1 hit paper
72 papers, 4.0k citations indexed

About

Vincent Maréchal is a scholar working on Oncology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Vincent Maréchal has authored 72 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 21 papers in Infectious Diseases and 18 papers in Molecular Biology. Recurrent topics in Vincent Maréchal's work include Viral-associated cancers and disorders (16 papers), SARS-CoV-2 detection and testing (13 papers) and Advanced Glycation End Products research (13 papers). Vincent Maréchal is often cited by papers focused on Viral-associated cancers and disorders (16 papers), SARS-CoV-2 detection and testing (13 papers) and Advanced Glycation End Products research (13 papers). Vincent Maréchal collaborates with scholars based in France, United States and Morocco. Vincent Maréchal's co-authors include Arnold J. Levine, Jiandong Chen, Jean‐Claude Nicolas, Jacques Piette, Brian Elenbaas, H. Bryan Neel, Yvon Maday, Laurent Moulin, Sébastien Wurtzer and Tristan Piolot and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Vincent Maréchal

67 papers receiving 4.0k citations

Hit Papers

Mapping of the p53 and md... 1993 2026 2004 2015 1993 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vincent Maréchal 2.1k 2.0k 889 491 393 72 4.0k
Don Morris 1.1k 0.5× 1.4k 0.7× 570 0.6× 208 0.4× 236 0.6× 91 3.3k
Beth A. Helmink 2.0k 0.9× 2.8k 1.4× 325 0.4× 296 0.6× 268 0.7× 42 4.5k
Chyi‐Chia Richard Lee 2.0k 0.9× 2.0k 1.0× 474 0.5× 496 1.0× 153 0.4× 114 5.4k
Sheng Zhou 2.5k 1.2× 2.6k 1.3× 534 0.6× 415 0.8× 77 0.2× 84 5.3k
Jessica Fessler 1.4k 0.7× 1.6k 0.8× 425 0.5× 181 0.4× 184 0.5× 14 2.5k
Michael J. Droller 1.0k 0.5× 1.3k 0.6× 262 0.3× 406 0.8× 224 0.6× 176 5.6k
Adam J. Bass 2.1k 1.0× 2.8k 1.4× 288 0.3× 311 0.6× 171 0.4× 94 5.5k
Bruno Sáinz 1.7k 0.8× 2.0k 1.0× 393 0.4× 1.1k 2.3× 111 0.3× 88 4.7k
Maria Li Lung 2.4k 1.1× 3.1k 1.5× 366 0.4× 416 0.8× 106 0.3× 200 5.7k
Yoshio Endo 1.2k 0.6× 988 0.5× 151 0.2× 419 0.9× 111 0.3× 80 2.6k

Countries citing papers authored by Vincent Maréchal

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Maréchal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Maréchal

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

All Works

20 of 20 papers shown
1.
Raffestin, Stéphanie, Vincent Maréchal, Christophe Gantzer, et al.. (2025). Optimized protocol for direct extraction of SARS-CoV-2 RNA from raw wastewater samples (ANRS 0160). MethodsX. 14. 103323–103323.
2.
Raffestin, Stéphanie, Vincent Maréchal, Christophe Gantzer, et al.. (2024). Definition of a concentration and RNA extraction protocol for optimal whole genome sequencing of SARS-CoV-2 in wastewater (ANRS0160). The Science of The Total Environment. 952. 175823–175823. 2 indexed citations
3.
Adjoua, Olivier, et al.. (2024). High‐Resolution Molecular‐Dynamics Simulations of the Pyruvate Kinase Muscle Isoform 1 and 2 (PKM1/2). Chemistry - A European Journal. 31(20). e202402534–e202402534.
4.
L’honoré, Aurore, Frédérique Quignon, Christophe Marchand, et al.. (2022). The C-Terminal Acidic Tail Modulates the Anticancer Properties of HMGB1. International Journal of Molecular Sciences. 23(14). 7865–7865. 2 indexed citations
5.
Wurtzer, Sébastien, Sandra Lacôte, Séverine Murri, et al.. (2022). Reduction in SARS-CoV-2 Virus Infectivity in Human and Hamster Feces. Viruses. 14(8). 1777–1777. 5 indexed citations
6.
Quignon, Frédérique, et al.. (2022). Methyl-qPCR: a new method to investigate Epstein–Barr virus infection in post-transplant lymphoproliferative diseases. Clinical Epigenetics. 14(1). 33–33. 5 indexed citations
7.
Boni, Mickaël, Olivier Gorgé, Jean‐Ulrich Mullot, et al.. (2022). L’Institut de recherche biomédicale des armées (IRBA) et l’épidémiologie des eaux usées : intérêt pour les forces armées. Bulletin de l Académie Nationale de Médecine. 206(8). 1011–1021.
8.
Perdiz, Daniel, Eva Hernández, Guillaume Beauclair, et al.. (2022). Essential role of hyperacetylated microtubules in innate immunity escape orchestrated by the EBV-encoded BHRF1 protein. PLoS Pathogens. 18(3). e1010371–e1010371. 16 indexed citations
9.
Wang, Siyun, Vincent Maréchal, Laurent Moulin, et al.. (2022). A Flexible Smoother Adapted to Censored Data With Outliers and Its Application to SARS-CoV-2 Monitoring in Wastewater. Frontiers in Applied Mathematics and Statistics. 8. 9 indexed citations
11.
Thomé, Marcos Paulo Machado, Annette K. Larsen, João Antônio Pêgas Henriques, et al.. (2019). Dipyridamole as a new drug to prevent Epstein-Barr virus reactivation. Antiviral Research. 172. 104615–104615. 17 indexed citations
12.
Deschamps, Thibaut, Quentin Bazot, Ruth MacLeod, et al.. (2016). Epstein–Barr virus nuclear antigen 1 interacts with regulator of chromosome condensation 1 dynamically throughout the cell cycle. Journal of General Virology. 98(2). 251–265. 15 indexed citations
13.
Matheus, Séverine, et al.. (2009). Early clinical and biological features of severe clinical manifestations of dengue in Vietnamese adults. Journal of Clinical Virology. 45(4). 276–280. 54 indexed citations
14.
Pallier, Coralie, Paola Scaffidi, A Agresti, et al.. (2003). Association of Chromatin Proteins High Mobility Group Box (HMGB) 1 and HMGB2 with Mitotic Chromosomes. Molecular Biology of the Cell. 14(8). 3414–3426. 108 indexed citations
15.
Maréchal, Vincent & Tristan Piolot. (1999). Oncogenèse et cycle biologique des virus. Virologie. 3(4). 297–308. 2 indexed citations
16.
Morand, Patrice, Marlyse Buisson, H. Collandre, et al.. (1999). Human Herpesvirus 8 and Epstein Barr-Virus in a Cutaneous B-Cell Lymphoma and a Malignant Cell Line Established from the Blood of an AIDS Patient. Leukemia & lymphoma. 35(3-4). 379–387. 28 indexed citations
18.
Mils, Valérie, et al.. (1997). MDM-2 protein is expressed in different layers of normal human skin. Oncogene. 14(9). 1123–1128. 22 indexed citations
19.
Piette, Jacques, H. Bryan Neel, & Vincent Maréchal. (1997). Mdm2: keeping p53 under control. Oncogene. 15(9). 1001–1010. 227 indexed citations
20.
Chen, Jiandong, Vincent Maréchal, & Arnold J. Levine. (1993). Mapping of the p53 and mdm-2 Interaction Domains. Molecular and Cellular Biology. 13(7). 4107–4114. 224 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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