Fabienne Bon

2.1k citations
29 papers · 1.7k · h-index 19

Impact in

Papers in

    • Viral gastroenteritis research and epidemiology 16
    • Antifungal resistance and susceptibility 3
    • Tuberculosis Research and Epidemiology 1
    • Barrier Structure and Function Studies 1

Fabienne Bon

29 papers receiving 1.7k citations

Peers

Fabienne Bon
Comparison fields: 5 of 63
  • Infectious Diseases 1.1k
  • Water Science and Technology 108
  • Animal Science and Zoology 45
  • Parasitology 34
  • Food Science 49
Replace Doo‐Sung Cheon with:
Doo‐Sung Cheon South Korea
Axel Mauroy Belgium
Simona Di Pasquale Italy
Leslie A. Dauphin United States
Everardo M. Vega United States
Karin Jacobsson Sweden
Jeffrey C. Chandler United States
Renee R. Anderson United States
Ulrich Schotte Germany
Janet Mans South Africa
Fabienne Bon relative to Doo‐Sung Cheon South Korea Doo‐Sung Cheon's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fabienne Bon

Since Specialization
Citations

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

Fields of papers citing papers by Fabienne Bon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999211
2 2021211
3 2006205
4 2008144
5 2006140
6 200397
7 200592
8 200287
9 200577
10 200076
11 201969
12 201054
13 201049
14 201640
15 200336
16 201129
17 200826
18 202224
19 200623
20 202016

About Fabienne Bon

Fabienne Bon is a scholar working on Infectious Diseases, Neurology, Parasitology, Water Science and Technology and Epidemiology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (16 papers), Antifungal resistance and susceptibility (3 papers), Tuberculosis Research and Epidemiology (1 paper), Fungal and yeast genetics research (1 paper), Barrier Structure and Function Studies (1 paper), Parasitic Infections and Diagnostics (1 paper), Autophagy in Disease and Therapy (1 paper) and Fecal contamination and water quality (1 paper). The work is most often cited by research in Infectious Diseases (1.1k citations), Water Science and Technology (108 citations), Animal Science and Zoology (45 citations), Parasitology (34 citations) and Food Science (49 citations). Fabienne Bon has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Pierre Pothier, Évelyne Kohli, Frédéric Dalle, Louise Basmaciyan, Hervé Bègue, Katia Ambert‐Balay, Jérôme Kaplon, M. Pommepuy, H. Giraudon and Pascal Fascia. Their work appears in journals such as Journal of Clinical Microbiology, Gut Microbes, Tissue Barriers, Nature Communications and International Journal of Molecular Sciences.

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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