Guy Bézard

708 citations
10 papers · 621 · h-index 9

Impact in

Papers in

    • Brucella: diagnosis, epidemiology, treatment 6
    • RNA and protein synthesis mechanisms 2
    • Machine Learning in Bioinformatics 1

Guy Bézard

10 papers receiving 581 citations

Peers

Guy Bézard
Comparison fields: 5 of 75
  • Small Animals 213
  • Endocrinology 110
  • Biotechnology 46
  • Horticulture 5
  • Food Science 88
Replace L A Kurjanczyk with:
L A Kurjanczyk Canada
R. A. Kapitany Canada
Marie-Luise Eschbach Germany
J P Debeaupuis France
V. Chazalet France
Sonia M. Cavaignac New Zealand
Peter T. Richardson United Kingdom
N. Buttress Slovakia
E Martín Germany
M Mantle Canada
Guy Bézard relative to L A Kurjanczyk Canada L A Kurjanczyk's profile →
Citations per field
00.5×3.2×
L A Kurjanczyk · 1×
Citations per year

Countries citing papers authored by Guy Bézard

Since Specialization
Citations

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

Fields of papers citing papers by Guy Bézard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Guy Bézard, 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 Guy Bézard Line = papers co-authored together Guy Bézard links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1982310
2 199961
3
Isolation of three Brucella abortus cell-wall antigens protective in murine experimental brucellosis.
198059
4 199748
5 199738
6 199636
7 199631
8 199326
9 199510
10 19802

About Guy Bézard

Guy Bézard is a scholar working on Small Animals, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Endocrinology and Ecology, having authored 10 papers that have together received 621 indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (6 papers), Escherichia coli research studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Galectins and Cancer Biology (2 papers), RNA and protein synthesis mechanisms (2 papers), Bacteriophages and microbial interactions (2 papers), Machine Learning in Bioinformatics (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Small Animals (213 citations), Endocrinology (110 citations), Biotechnology (46 citations), Horticulture (5 citations) and Food Science (88 citations). Guy Bézard has collaborated with scholars based in France, Argentina and Belgium. Frequent co-authors include Gérard Dubray, G Dubray, Michel S. Zygmunt, Axel Cloeckaert, A. Cloeckaert, Inge De Meyer, Vincent Pétiard, Pierre Marraccini, William J. Rogers and Raúl A. Bowden. Their work appears in journals such as Electrophoresis, Research in Microbiology, Plant Physiology and Biochemistry, Journal of Medical Microbiology and Analytical Biochemistry.

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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