Michael Osthoff

2.9k citations
94 papers · 1.6k · 2 hit papers · h-index 21

Impact in

Papers in

    • Pneumonia and Respiratory Infections 10
    • Antimicrobial Resistance in Staphylococcus 9
    • COVID-19 Clinical Research Studies 8

Michael Osthoff

86 papers receiving 1.6k citations

Michael Osthoff's Hit Papers

Optimizing antibiotic therapies to reduce the risk of bacterial resistance 2022 · 114 citations
1140+1+2Years since publication4080120

Peers

Michael Osthoff
Comparison fields: 5 of 135
  • Applied Microbiology and Biotechnology 193
  • Molecular Medicine 183
  • Clinical Biochemistry 213
  • Infectious Diseases 317
  • Immunology 353
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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 94 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 →
2022140
2
Optimizing antibiotic therapies to reduce the risk of bacterial resistance
Hit paper breakdown →
2022114
3 201594
4 202277
5 201173
6 201666
7 200960
8 202058
9 202044
10 201841
11 201639
12 202137
13 201434
14 201234
15 202033
16 201526
17 201323
18 201321
19 201721
20 201521

About Michael Osthoff

Michael Osthoff is a scholar working on Epidemiology, Infectious Diseases, Immunology, Pharmacology and Clinical Biochemistry, having authored 94 papers that have together received 1.6k indexed citations. Recurring topics across this work include Complement system in diseases (19 papers), Antibiotics Pharmacokinetics and Efficacy (14 papers), Bacterial Identification and Susceptibility Testing (11 papers), Pneumonia and Respiratory Infections (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Antibiotic Use and Resistance (9 papers), COVID-19 Clinical Research Studies (8 papers) and Antibiotic Resistance in Bacteria (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (193 citations), Molecular Medicine (183 citations), Clinical Biochemistry (213 citations), Infectious Diseases (317 citations) and Immunology (353 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, Sarah L. McGuinness, Aaron Z. Wagen, Maja Weisser, Monica Schaller and G Balestra. Their work appears in journals such as Frontiers in Immunology, Swiss Medical Weekly, PLoS ONE, Frontiers in Medicine and AIDS.

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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