S. Harbarth

881 citations
13 papers · 699 indexed · h-index 12

S. Harbarth

13 papers receiving 661 citations

Peers

S. Harbarth
Comparison fields: 5 of 79
  • Applied Microbiology and Biotechnology 215
  • Critical Care and Intensive Care Medicine 183
  • Molecular Medicine 164
  • Infectious Diseases 274
  • Clinical Biochemistry 90
Replace Aleksander Deptuła with:
Aleksander Deptuła Poland
Klaus Weist Germany
Katrien Latour Belgium
Béatrice Jans Belgium
Caroline Landelle France
Marinês Dalla Valle Martino Brazil
Hugo Donaldson United Kingdom
Aurora Pop‐Vicas United States
Karl Mertens Belgium
Marie‐Laurence Lambert Belgium
S. Harbarth relative to Aleksander Deptuła Poland Aleksander Deptuła's profile →
Citations per field
00.5×3.1×
Aleksander Deptuła · 1×
Citations per year

Countries citing papers authored by S. Harbarth

Since Specialization
Citations

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

Fields of papers citing papers by S. Harbarth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 201819
2 201721
3 201373
4 201145
5 201023
6 2010114
7 200914
8 2008126
9 200535
10 200143
11 199911
12
Nosocomial infections in Swiss university hospitals: a multi-centre survey and review of the published experience. Swiss-Noso Network.
199939
13 1998136

About S. Harbarth

S. Harbarth is a scholar working on Applied Microbiology and Biotechnology, Critical Care and Intensive Care Medicine, Molecular Medicine, Infectious Diseases and Clinical Biochemistry, having authored 13 papers that have together received 699 indexed citations. Recurring topics across this work include Nosocomial Infections in ICU (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Antibiotic Use and Resistance (4 papers), Pneumonia and Respiratory Infections (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Emergency and Acute Care Studies (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (215 citations), Critical Care and Intensive Care Medicine (183 citations), Molecular Medicine (164 citations), Infectious Diseases (274 citations) and Clinical Biochemistry (90 citations). S. Harbarth has collaborated with scholars based in Switzerland, Belgium and United States. Frequent co-authors include Didier Pittet, Hugo Sax, Giulia De Angelis, Jan Beyersmann, Jacques Schrenzel, Nathalie Vernaz, Pascal Bonnabry, Benedikt Huttner, Benoı̂t Schlemmer and Gláucia Zanetti. Their work appears in journals such as Clinical Microbiology and Infection, Journal of Antimicrobial Chemotherapy, Journal of Hospital Infection, Antimicrobial Agents and Chemotherapy and European Journal of Clinical Microbiology & 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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