Benoît Guéry

12.2k total citations · 3 hit papers
231 papers, 6.7k citations indexed

About

Benoît Guéry is a scholar working on Epidemiology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Benoît Guéry has authored 231 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Epidemiology, 84 papers in Infectious Diseases and 48 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Benoît Guéry's work include Nosocomial Infections in ICU (31 papers), Clostridium difficile and Clostridium perfringens research (29 papers) and Antimicrobial Resistance in Staphylococcus (27 papers). Benoît Guéry is often cited by papers focused on Nosocomial Infections in ICU (31 papers), Clostridium difficile and Clostridium perfringens research (29 papers) and Antimicrobial Resistance in Staphylococcus (27 papers). Benoît Guéry collaborates with scholars based in France, Switzerland and United States. Benoît Guéry's co-authors include O. Leroy, G. Beaucaire, Hugues Georges, Antony Croxatto, Karine Faure, Antonio Vena, Matteo Bassetti, Elda Righi, Éric Kipnis and Laurence Delhaès and has published in prestigious journals such as The Lancet, The EMBO Journal and PLoS ONE.

In The Last Decade

Benoît Guéry

218 papers receiving 6.5k citations

Hit Papers

How to manage Pseudomonas aeruginosa infections 2018 2026 2020 2023 2018 2020 2021 100 200 300 400 500

Peers

Benoît Guéry
Comparison fields: 5 of 151
  • Epidemiology 2.1k
  • Infectious Diseases 2.1k
  • Molecular Biology 2.0k
  • Pulmonary and Respiratory Medicine 1.1k
  • Critical Care and Intensive Care Medicine 753
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Citations per field, relative to Benoît Guéry
Benoît Guéry · 1×
Citations per year, relative to Benoît Guéry
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Countries citing papers authored by Benoît Guéry

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Guéry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Guéry

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Guéry. A scholar is included among the top collaborators of Benoît Guéry based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benoît Guéry. Benoît Guéry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 0
5 6
6 9
7 2
8 0
9 12
10 1
11 2
12 32
13 3
14 1
15 21
16 34
17 45
18
Données récentes sur le traitement des sténoses athéroscléreuses de l'artère rénale : effets de la dilatation avec ou sans endoprothèse sur la pression artérielle et la fonction rénale
1
19 67
20 6

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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