Benjamin Davido

3.2k citations
109 papers · 1.1k · h-index 19

Impact in

Papers in

    • Clostridium difficile and Clostridium perfringens research 12
    • SARS-CoV-2 and COVID-19 Research 8
    • Respiratory viral infections research 10
    • Pneumonia and Respiratory Infections 7
    • Urinary Tract Infections Management 7

Benjamin Davido

97 papers receiving 1.1k citations

Peers

Benjamin Davido
Comparison fields: 5 of 109
  • Applied Microbiology and Biotechnology 80
  • Molecular Medicine 142
  • Microbiology 20
  • Infectious Diseases 346
  • Virology 65
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Aaron E. Glatt United States
María Carmen Fariñas Spain
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Fréderic Gómez-Bertomeu Spain
Renu Bharadwaj India
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Aurélien Dinh France
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Citations per field
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Citations per year

Countries citing papers authored by Benjamin Davido

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Davido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020100
2 201770
3 201863
4 202243
5 201938
6 201835
7 201829
8 201728
9 201726
10 201224
11 202224
12 201723
13 202223
14 202123
15 201422
16 201621
17 202120
18 202019
19 201819
20 201917

About Benjamin Davido

Benjamin Davido is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Medicine and Public Health, Environmental and Occupational Health, having authored 109 papers that have together received 1.1k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (12 papers), Respiratory viral infections research (10 papers), Antibiotic Resistance in Bacteria (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Pneumonia and Respiratory Infections (7 papers), Urinary Tract Infections Management (7 papers), Orthopedic Infections and Treatments (7 papers) and Antibiotic Use and Resistance (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (80 citations), Molecular Medicine (142 citations), Microbiology (20 citations), Infectious Diseases (346 citations) and Virology (65 citations). Benjamin Davido has collaborated with scholars based in France, United Kingdom and Netherlands. Frequent co-authors include Aurélien Dinh, Pierre de Truchis, Frédérique Bouchand, Clara Duran, Roland Tubiana, Sophie Seang, J. Salomon, Christian Perronne, Christine Lawrence and Hugues Michelon. Their work appears in journals such as International Journal of Infectious Diseases, International Journal of Antimicrobial Agents, Journal of Travel Medicine, European Journal of Clinical Microbiology & Infectious Diseases and Clinical Microbiology and Infection.

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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