Michael Behnke

148 papers receiving 4.0k citations

Peers

Michael Behnke
Comparison fields: 5 of 144
  • Applied Microbiology and Biotechnology 454
  • Critical Care and Intensive Care Medicine 668
  • Molecular Medicine 452
  • Infectious Diseases 1.5k
  • Clinical Biochemistry 392
Replace Alexandre R. Marra with:
Alexandre R. Marra Brazil
Joelle Nadle United States
Marin L. Schweizer United States
Maria Luisa Moro Italy
Kurt Stevenson United States
Bala Hota United States
Frank Schwab Germany
Lindsey M. Weiner United States
Christine Geffers Germany
Marion Kainer United States
Michael Behnke relative to Alexandre R. Marra Brazil Alexandre R. Marra's profile →
Citations per field
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Alexandre R. Marra · 1×
Citations per year

Countries citing papers authored by Michael Behnke

Since Specialization
Citations

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

Fields of papers citing papers by Michael Behnke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006213
2 2006201
3 2006130
4 2007130
5 2006113
6 2014109
7 2008109
8 2005105
9 2008104
10 2007103
11 2018102
12 2008100
13 201383
14 201575
15 200570
16 201370
17 201865
18 201065
19 201763
20 200662

About Michael Behnke

Michael Behnke is a scholar working on Infectious Diseases, Critical Care and Intensive Care Medicine, Epidemiology, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 153 papers that have together received 4.3k indexed citations. Recurring topics across this work include Nosocomial Infections in ICU (30 papers), Infection Control in Healthcare (27 papers), Antibiotic Use and Resistance (20 papers), Antimicrobial Resistance in Staphylococcus (18 papers), Bacterial Identification and Susceptibility Testing (15 papers), Surgical site infection prevention (12 papers), Urinary Tract Infections Management (9 papers) and Clostridium difficile and Clostridium perfringens research (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (454 citations), Critical Care and Intensive Care Medicine (668 citations), Molecular Medicine (452 citations), Infectious Diseases (1.5k citations) and Clinical Biochemistry (392 citations). Michael Behnke has collaborated with scholars based in Germany, Netherlands and Sweden. Frequent co-authors include Petra Gastmeier, Christine Geffers, H. Rüden, Frank Schwab, D. Sohr, Sonja Hansen, Ralf‐Peter Vonberg, C. Schröder, Irina Zuschneid and Tim Eckmanns. Their work appears in journals such as Antimicrobial Resistance and Infection Control, Journal of Hospital Infection, Infection Control and Hospital Epidemiology, Eurosurveillance and Journal of Antimicrobial Chemotherapy.

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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