V. Vincent

52 papers receiving 2.3k citations

Peers

V. Vincent
Comparison fields: 5 of 112
  • Microbiology 68
  • Infectious Diseases 1.4k
  • Small Animals 569
  • Epidemiology 1.8k
  • Molecular Medicine 64
Replace M.D. Yates with:
M.D. Yates United Kingdom
Sylvia Cardoso Leão Brazil
Frank Bally Switzerland
Mitchell A. Yakrus United States
Kingsley Asiedu Switzerland
Moisés Palaci Brazil
Jo‐Anne van Burik United States
G E Pfyffer Switzerland
Philip Noël Suffys Brazil
Richard C. Huard United States
V. Vincent relative to M.D. Yates United Kingdom M.D. Yates's profile →
Citations per field
00.5×3.5×
M.D. Yates · 1×
Citations per year

Countries citing papers authored by V. Vincent

Since Specialization
Citations

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

Fields of papers citing papers by V. Vincent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside V. Vincent, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with V. Vincent Line = papers co-authored together V. Vincent links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004232
2 1999231
3
Non-tuberculous mycobacteria: patterns of isolation. A multi-country retrospective survey.
2004184
4 2001161
5 1997153
6
Spacer oligonucleotide typing of bacteria of the Mycobacterium tuberculosis complex: recommendations for standardised nomenclature.
2001149
7 1997127
8 2001105
9 1998100
10 199357
11 199654
12 200143
13 200242
14 199942
15 199740
16 199638
17 199737
18 199637
19 200536
20 199733

About V. Vincent

V. Vincent is a scholar working on Epidemiology, Infectious Diseases, Small Animals, Surgery and Ecology, having authored 53 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (46 papers), Tuberculosis Research and Epidemiology (39 papers), Infectious Diseases and Mycology (11 papers), Bacteriophages and microbial interactions (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Infectious Diseases and Tuberculosis (5 papers), Genomics and Phylogenetic Studies (3 papers) and Actinomycetales infections and treatment (3 papers). The work is most often cited by research in Microbiology (68 citations), Infectious Diseases (1.4k citations), Small Animals (569 citations), Epidemiology (1.8k citations) and Molecular Medicine (64 citations). V. Vincent has collaborated with scholars based in France, Morocco and United Kingdom. Frequent co-authors include Mathieu Picardeau, A. Varnerot, Hervé Bercovier, Catherine Pierre-Audigier, Guy Prod’hom, Jean‐Louis Gaillard, Patrick Berche, Laurent Raskine, Chantal Akoua‐Koffi and Olivier Lortholary. Their work appears in journals such as Journal of Clinical Microbiology, Clinical Infectious Diseases, European Journal of Clinical Microbiology & Infectious Diseases, European Respiratory Journal and Neurobiology of Aging.

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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