Michael Osthoff

89 papers receiving 1.6k citations

Michael Osthoff's Hit Papers

Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning 2022 · 159 citations
1590+1+2Years since publication50100150

Peers

Michael Osthoff
Comparison fields: 5 of 127
  • Applied Microbiology and Biotechnology 143
  • Molecular Medicine 154
  • Clinical Biochemistry 205
  • Immunology 334
  • Critical Care and Intensive Care Medicine 64
Replace Cristina Mussini with:
Cristina Mussini Italy
Mary Hilfiker United States
Robby Markwart Germany
Hiroki Ohge Japan
Jan Sjölin Sweden
Yoshinari Tanabe Japan
Eyal Robenshtok Israel
Stefan Hagel Germany
Joan Korth‐Bradley United States
Jerina Boelens Belgium
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Citations per year

Countries citing papers authored by Michael Osthoff

Since Specialization
Citations

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

Fields of papers citing papers by Michael Osthoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning
Hit paper breakdown →
2022159
2
Optimizing antibiotic therapies to reduce the risk of bacterial resistance
Hit paper breakdown →
2022127
3 201595
4 202285
5 201175
6 201670
7 200968
8 202058
9 202044
10 201844
11 201641
12 202139
13 201237
14 201435
15 202034
16 201529
17 201524
18 201924
19 201323
20 202121

About Michael Osthoff

Michael Osthoff is a scholar working on Epidemiology, Immunology, Infectious Diseases, Pharmacology and Clinical Biochemistry, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include Complement system in diseases (17 papers), Antibiotics Pharmacokinetics and Efficacy (13 papers), Bacterial Identification and Susceptibility Testing (10 papers), COVID-19 Clinical Research Studies (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Antibiotic Use and Resistance (5 papers), Pneumonia and Respiratory Infections (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (143 citations), Molecular Medicine (154 citations), Clinical Biochemistry (205 citations), Immunology (334 citations) and Critical Care and Intensive Care Medicine (64 citations). Michael Osthoff has collaborated with scholars based in Switzerland, Chile and Australia. Frequent co-authors include Stefano Bassetti, Adrian Egli, Marten Trendelenburg, Damon P. Eisen, Sarah Tschudin‐Sutter, Aaron Z. Wagen, Sarah L. McGuinness, Monica Schaller, Maja Weisser and G Balestra. Their work appears in journals such as Frontiers in Immunology, PLoS ONE, Swiss Medical Weekly, Frontiers in Medicine and BMC 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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