Pascale Bailly

22 papers receiving 488 citations

Peers

Pascale Bailly
Comparison fields: 5 of 65
  • Applied Microbiology and Biotechnology 58
  • Critical Care and Intensive Care Medicine 128
  • Molecular Medicine 92
  • Endocrinology 44
  • Infectious Diseases 147
Replace Nehama Peled with:
Nehama Peled Israel
Jin Seo Lee South Korea
Aleksander Deptuła Poland
Maria Roumbelaki Greece
David Rubenstein United States
B. Jans Belgium
N. Freixas Spain
Sina Bärwolff Germany
Klaus Weist Germany
S. Harbarth Switzerland
Pascale Bailly relative to Nehama Peled Israel Nehama Peled's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pascale Bailly

Since Specialization
Citations

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

Fields of papers citing papers by Pascale Bailly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Pascale Bailly, 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 Pascale Bailly Line = papers co-authored together Pascale Bailly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199868
2 199761
3 199546
4 200143
5 199740
6 200039
7 200235
8 199531
9 200929
10 199427
11 200321
12 200621
13 200518
14 200011
15 199910
16 20009
17 20029
18 20047
19 19995
20 19964

About Pascale Bailly

Pascale Bailly is a scholar working on Infectious Diseases, Critical Care and Intensive Care Medicine, Epidemiology, Clinical Biochemistry and Molecular Medicine, having authored 23 papers that have together received 540 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (8 papers), Nosocomial Infections in ICU (5 papers), Antibiotic Resistance in Bacteria (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Surgical site infection prevention (3 papers), Streptococcal Infections and Treatments (2 papers), Infective Endocarditis Diagnosis and Management (2 papers) and Infection Control in Healthcare (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (58 citations), Critical Care and Intensive Care Medicine (128 citations), Molecular Medicine (92 citations), Endocrinology (44 citations) and Infectious Diseases (147 citations). Pascale Bailly has collaborated with scholars based in France, Belgium and Mali. Frequent co-authors include D. Talon, Michelle Thouverez, Xavier Bertrand, B. Mulin, Y Michel-Briand, Jean‐François Viel, N. Floret, Gilles Blasco, P. Balvay and A. Boillot. Their work appears in journals such as Journal of Hospital Infection, Infection Control and Hospital Epidemiology, Clinical Microbiology and Infection, Vox Sanguinis and Clinical Infectious Diseases.

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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