Vincent Escuyer

1.5k total citations
34 papers, 1.1k citations indexed

About

Vincent Escuyer is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Vincent Escuyer has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Infectious Diseases, 25 papers in Epidemiology and 7 papers in Molecular Biology. Recurrent topics in Vincent Escuyer's work include Mycobacterium research and diagnosis (25 papers), Tuberculosis Research and Epidemiology (24 papers) and Antibiotic Resistance in Bacteria (6 papers). Vincent Escuyer is often cited by papers focused on Mycobacterium research and diagnosis (25 papers), Tuberculosis Research and Epidemiology (24 papers) and Antibiotic Resistance in Bacteria (6 papers). Vincent Escuyer collaborates with scholars based in United States, France and Haiti. Vincent Escuyer's co-authors include Kimberlee A. Musser, Tanya A. Halse, R. John Collier, Patrick Berche, Joseph Shea, Pascal Lapierre, Shamila Nair, Claude Fréhel, M A Lety and Patrick J. Brennan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Vincent Escuyer

33 papers receiving 1.1k citations

Peers

Vincent Escuyer
Jorge A. González-y-Merchand Mexico
Andrea Gioffré Argentina
Angelo Scorpio United States
Alifiya S. Motiwala United States
S T Cole France
Rebecca J. Smith United Kingdom
Patricia Del Portillo Colombia
Julia M. Inamine United States
Jean Rauzier France
A R Schuitema Netherlands
Jorge A. González-y-Merchand Mexico
Vincent Escuyer
Citations per year, relative to Vincent Escuyer Vincent Escuyer (= 1×) peers Jorge A. González-y-Merchand

Countries citing papers authored by Vincent Escuyer

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Escuyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Escuyer

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Escuyer. A scholar is included among the top collaborators of Vincent Escuyer 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 Escuyer. Vincent Escuyer 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.
Pham, Jonathan, Punam Verma, Uma Malhotra, et al.. (2025). Limitations of the MTB/RIF Assay: An Xpert Review of 4 Clinical Cases. Open Forum Infectious Diseases. 12(4). ofaf132–ofaf132. 2 indexed citations
2.
Saranathan, Rajagopalan, Donna Kohlerschmidt, Catherine Vilchèze, et al.. (2024). Engineered Mycobacteriophage TM4::GeNL Rapidly Determines Bedaquiline, Pretomanid, Linezolid, Rifampicin, and Clofazimine Sensitivity in Mycobacterium tuberculosis Clinical Isolates. The Journal of Infectious Diseases. 231(4). 859–870. 3 indexed citations
3.
Gröschel, Matthias I., Roland Diel, Roger Vargas, et al.. (2024). Differential rates of Mycobacterium tuberculosis transmission associate with host–pathogen sympatry. Nature Microbiology. 9(8). 2113–2127. 7 indexed citations
4.
Smith, Carol, Pascal Lapierre, Joseph Shea, et al.. (2023). Direct detection of drug-resistant Mycobacterium tuberculosis using targeted next generation sequencing. Frontiers in Public Health. 11. 1206056–1206056. 36 indexed citations
5.
Shea, Joseph, Tanya A. Halse, Donna Kohlerschmidt, et al.. (2020). Low-Level Rifampin Resistance and rpoB Mutations in Mycobacterium tuberculosis: an Analysis of Whole-Genome Sequencing and Drug Susceptibility Test Data in New York. Journal of Clinical Microbiology. 59(4). 48 indexed citations
6.
Loiseau, Chloé, Daniela Brites, Irmgard Moser, et al.. (2019). Revised Interpretation of the Hain Lifescience GenoType MTBC To Differentiate Mycobacterium canettii and Members of the Mycobacterium tuberculosis Complex. Antimicrobial Agents and Chemotherapy. 63(6). 15 indexed citations
7.
Morlock, Glenn P., Vincent Escuyer, Young Mi Kim, et al.. (2017). Using Reduced Inoculum Densities of Mycobacterium tuberculosis in MGIT Pyrazinamide Susceptibility Testing to Prevent False-Resistant Results and Improve Accuracy: A Multicenter Evaluation. SHILAP Revista de lepidopterología. 2017. 1–9. 12 indexed citations
8.
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10.
Zhu, Yan, Kara Mitchell, Elizabeth Nazarian, Vincent Escuyer, & Kimberlee A. Musser. (2015). Rapid prediction of inducible clarithromycin resistance in Mycobacterium abscessus. Molecular and Cellular Probes. 29(6). 514–516. 9 indexed citations
11.
12.
Ocheretina, Oksana, Vincent Escuyer, Sherry Dunbar, et al.. (2013). Use of Luminex MagPlex Magnetic Microspheres for High-Throughput Spoligotyping of Mycobacterium tuberculosis Isolates in Port-au-Prince, Haiti. Journal of Clinical Microbiology. 51(7). 2232–2237. 24 indexed citations
13.
Halse, Tanya A., Vincent Escuyer, & Kimberlee A. Musser. (2011). Evaluation of a Single-Tube Multiplex Real-Time PCR for Differentiation of Members of the Mycobacterium tuberculosis Complex in Clinical Specimens. Journal of Clinical Microbiology. 49(7). 2562–2567. 51 indexed citations
14.
Wang, Yimin, et al.. (2005). Overexpression, purification and crystallographic analysis of a unique adenosine kinase fromMycobacterium tuberculosis. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 61(6). 553–557. 9 indexed citations
15.
White, E. Lucile, et al.. (2004). Cloning, expression, and characterization ofMycobacterium tuberculosisdihydrofolate reductase. FEMS Microbiology Letters. 232(1). 101–105. 36 indexed citations
16.
Zhang, Nannan, Jordi B. Torrelles, Michael McNeil, et al.. (2003). The Emb proteins of mycobacteria direct arabinosylation of lipoarabinomannan and arabinogalactan via an N‐terminal recognition region and a C‐terminal synthetic region. Molecular Microbiology. 50(1). 69–76. 110 indexed citations
17.
Nair, Shamila, et al.. (1999). ClpE, a novel member of the HSP100 family, is involved in cell division and virulence of Listeria monocytogenes. Molecular Microbiology. 31(1). 185–196. 77 indexed citations
18.
Escuyer, Vincent, Nadia Haddad, Claude Fréhel, & Patrick Berche. (1996). Molecular characterization of a surface-exposed superoxide dismutase ofMycobacterium avium. Microbial Pathogenesis. 20(1). 41–55. 36 indexed citations
19.
Baulard, Alain R., Vincent Escuyer, Nadia Haddad, et al.. (1995). Mercury resistance as a selective marker for recombinant mycobacteria. Microbiology. 141(4). 1045–1050. 18 indexed citations
20.
Escuyer, Vincent, David M. Perrin, & Michèle Mock. (1989). Immunity protein is not required for the bactericidal activity of colicin E3. Molecular Microbiology. 3(6). 807–812. 1 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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