J.F. Vieu

40 papers receiving 508 citations

Peers

J.F. Vieu
Comparison fields: 5 of 62
  • Molecular Medicine 354
  • Endocrinology 228
  • Applied Microbiology and Biotechnology 16
  • Microbiology 46
  • Microbiology 4
Replace P Desjardins with:
P Desjardins France
H Milch Hungary
R. N. Charrel France
Rebecca A. Hutton United States
S. Schubert Germany
Dolores Vargas Álvarez Spain
Toyoji Okubo Japan
Anamaria Babosan France
Lateef Adewoye Canada
Herin Oh Sweden
J.F. Vieu relative to P Desjardins France P Desjardins's profile →
Citations per field
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P Desjardins · 1×
Citations per year

Countries citing papers authored by J.F. Vieu

Since Specialization
Citations

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

Fields of papers citing papers by J.F. Vieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.F. Vieu. 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 J.F. Vieu. The network helps show where J.F. Vieu may publish in the future.

Co-authors

The 25 scholars most cited alongside J.F. Vieu, 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 J.F. Vieu Line = papers co-authored together J.F. Vieu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987129
2 199072
3 198668
4 199042
5 199040
6 198833
7 198528
8 198419
9 198914
10 198314
11
[Is there a geographic epidemiology of serogroups O of Pseudomonas aeruginosa?].
19849
12 19898
13
[Moraxella hospital infections].
19706
14
[The antigen H:z66 in 1,000 strains of Salmonella typhi from the Antilles, Central America and South America].
19885
15 19905
16 19844
17
[Preliminary note on phage typing of Proteus hauseri].
19584
18 19794
19 19883
20
[Epidemiology of Pseudomonas aeruginosa in Mauritania: study of 239 strains of various origins].
19873

About J.F. Vieu

J.F. Vieu is a scholar working on Ecology, Endocrinology, Molecular Medicine, Food Science and Genetics, having authored 42 papers that have together received 540 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (16 papers), Antibiotic Resistance in Bacteria (13 papers), Salmonella and Campylobacter epidemiology (11 papers), Vibrio bacteria research studies (11 papers), Yersinia bacterium, plague, ectoparasites research (4 papers), Aquaculture disease management and microbiota (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Molecular Medicine (354 citations), Endocrinology (228 citations), Applied Microbiology and Biotechnology (16 citations), Microbiology (46 citations) and Microbiology (4 citations). J.F. Vieu has collaborated with scholars based in France, United States and Senegal. Frequent co-authors include E Bergogne-Bérézin, Marie‐Laure Joly‐Guillou, Philippe Bouvet, S Jeanjean, Lenie Dijkshoorn, F. W. Goldstein, Barbara Papadopoulou, J. F. Acar, Hans-W. Ackermann and G Gerbaud. Their work appears in journals such as Journal of Hospital Infection, Médecine et Maladies Infectieuses, Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy and The Journal of Infectious Diseases.

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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