Stephan Harbarth

330 papers receiving 18.5k citations

Hit Papers

Analysis of the clinical pipeline of treatments for drug resistant bacterial infections: despite progress, more action is needed. 2022 · 167 citations
167200020262008201750010001.5k

Peers

Stephan Harbarth
Comparison fields: 5 of 199
  • Applied Microbiology and Biotechnology 4.1k
  • Molecular Medicine 3.0k
  • Clinical Biochemistry 3.5k
  • Critical Care and Intensive Care Medicine 2.6k
  • Infectious Diseases 7.3k
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Citations per year

Countries citing papers authored by Stephan Harbarth

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Harbarth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
4 20241
5 20235
6 20232
7 20236
8 20232
9 20224
10 202113
11 202037
12 202038
13 201810
14 20187
15 201781
16 201658
17
Carbapénémases: implications cliniques et épidémiologiques pour la Suisse
20121
18
The European approach to antimicrobial resistance: success stories and challenges
20111
19
Gutgläubiger Erwerb von GmbH-Geschäftsanteilen nach dem MoMiG-RegE
20081
20 199690

About Stephan Harbarth

Stephan Harbarth is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Clinical Biochemistry, Critical Care and Intensive Care Medicine and Infectious Diseases, having authored 342 papers that have together received 19.3k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (95 papers), Antimicrobial Resistance in Staphylococcus (82 papers), Bacterial Identification and Susceptibility Testing (78 papers), Antibiotic Resistance in Bacteria (61 papers), Nosocomial Infections in ICU (42 papers), Infection Control in Healthcare (31 papers), Urinary Tract Infections Management (29 papers) and Streptococcal Infections and Treatments (28 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (4.1k citations), Molecular Medicine (3.0k citations), Clinical Biochemistry (3.5k citations), Critical Care and Intensive Care Medicine (2.6k citations) and Infectious Diseases (7.3k citations). Stephan Harbarth has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Didier Pittet, Yehuda Carmeli, Stéphane Hugonnet, Thomas Perneger, Valérie Sauvan, Sylvie Touveneau, Philippe Mourouga, Andie S. Lee, Jacques Schrenzel and Hugo Sax. Their work appears in journals such as Clinical Microbiology and Infection, Antimicrobial Resistance and Infection Control, Infection Control and Hospital Epidemiology, Clinical Infectious Diseases and Journal of Hospital 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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