F. Bussereau

912 citations
27 papers · 389 · h-index 13

Impact in

Papers in

    • Rabies epidemiology and control 11
    • Poxvirus research and outbreaks 4
    • Virus-based gene therapy research 5

F. Bussereau

27 papers receiving 359 citations

Peers

F. Bussereau
Comparison fields: 5 of 52
  • Virology 148
  • Microbiology 32
  • Infectious Diseases 83
  • Epidemiology 113
  • Genetics 59
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Citations per year

Countries citing papers authored by F. Bussereau

Since Specialization
Citations

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

Fields of papers citing papers by F. Bussereau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside F. Bussereau, 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 F. Bussereau Line = papers co-authored together F. Bussereau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201540
2 198039
3 198234
4 200634
5
Treatment of rabies in mice and foxes with antiviral compounds.
198834
6 197821
7 198220
8 198319
9 199216
10 198315
11 197514
12 200313
13 198813
14
Improved strategy for large-scale DNA sequencing using DNaseI cleavage for generating random subclones.
199511
15 19889
16
[Study of CO2 sensitivity symptom induced by sigma virus in Drosophila. I. Influence of inoculation place on delay of symptom appearance].
19709
17
[Study of the symptom of CO2 sensitivity induced by sigma virus in Drosophila. II. Comparative course of yield of nervous centers and of some organs after inoculation in the abdomen and thorax].
19709
18 19869
19 19805
20
Coinfection with a rhabdovirus: vesicular stomatitis virus of Indiana and New-Jersey serotypes.
19785

About F. Bussereau

F. Bussereau is a scholar working on Virology, Genetics, Molecular Biology, Epidemiology and Infectious Diseases, having authored 27 papers that have together received 389 indexed citations. Recurring topics across this work include Rabies epidemiology and control (11 papers), Virology and Viral Diseases (6 papers), Virus-based gene therapy research (5 papers), Poxvirus research and outbreaks (4 papers), Mosquito-borne diseases and control (4 papers), Viral Infections and Outbreaks Research (4 papers), Bacteriophages and microbial interactions (4 papers) and Fungal and yeast genetics research (3 papers). The work is most often cited by research in Virology (148 citations), Microbiology (32 citations), Infectious Diseases (83 citations), Epidemiology (113 citations) and Genetics (59 citations). F. Bussereau has collaborated with scholars based in France, Switzerland and Belgium. Frequent co-authors include Anne Flamand, P. Sureau, Jean Blancou, Monique Bolotin‐Fukuhara, Andreas Keiser, Patrice de Werra, Serge Casarégola, Alain Ermine, J.F. Delagneau and Jacqueline Bénéjean. Their work appears in journals such as Journal of General Virology, FEMS Yeast Research, Journal of Virology, Journal of Clinical Microbiology and Plant Disease.

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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