Peter M. Keller
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 17
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology 18
- Antimicrobial Resistance in Staphylococcus 7
- Clinical Biochemistry top 1%
- Bacterial Identification and Susceptibility Testing 19
- Endocrinology top 2%
- Small Animals top 1%
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- Mycobacterium research and diagnosis 30
- Infective Endocarditis Diagnosis and Management 10
- Pneumonia and Respiratory Infections 9
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- Streptococcal Infections and Treatments 7
- Co-authors
- W. A. PaciorekG. BricogneThomas WomackAndrew SharffClaus FlensburgClemens VonrheinOliver S. SmartKaroline Wagner
- Journals
- Journal of Clinical Microbiology (9 papers)Antimicrobial Agents and Chemotherapy (6 papers)Blood (6 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Peter M. Keller
139 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Medicine 264
- Infectious Diseases 888
- Clinical Biochemistry 307
- Endocrinology 184
- Small Animals 237
Countries citing papers authored by Peter M. Keller
This map shows the geographic impact of Peter M. Keller'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 Peter M. Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter M. Keller more than expected).
Fields of papers citing papers by Peter M. Keller
This network shows the impact of papers produced by Peter M. Keller. 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 Peter M. Keller. The network helps show where Peter M. Keller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter M. Keller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 8 | |
| 6 | 2021 | 2 | |
| 7 | 2020 | 16 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 39 | |
| 10 | 2019 | 49 | |
| 11 | 2018 | 11 | |
| 12 | 2018 | 51 | |
| 13 | 2017 | 22 | |
| 14 | 2016 | 24 | |
| 15 | Chronomorphic Programs: Using Runtime Diversity to Prevent Code Reuse Attacks | 2015 | 1 |
| 16 | 2014 | 6 | |
| 17 | 2014 | 14 | |
| 18 | 2013 | 29 | |
| 19 | 2011 | 12 | |
| 20 | 2002 | 5 |
About Peter M. Keller
Peter M. Keller is a scholar working on Microbiology, Molecular Medicine and Clinical Biochemistry, having authored 146 papers that have together received 4.4k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (30 papers), Bacterial Identification and Susceptibility Testing (19 papers), Tuberculosis Research and Epidemiology (18 papers), Antibiotic Resistance in Bacteria (17 papers), Infective Endocarditis Diagnosis and Management (10 papers), Pneumonia and Respiratory Infections (9 papers), Streptococcal Infections and Treatments (7 papers) and Antimicrobial Resistance in Staphylococcus (7 papers). The work is most often cited by research in Molecular Medicine (264 citations), Infectious Diseases (888 citations) and Clinical Biochemistry (307 citations). Peter M. Keller has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include W. A. Paciorek, G. Bricogne, Thomas Womack, Andrew Sharff, Claus Flensburg, Clemens Vonrhein, Oliver S. Smart, Karoline Wagner, Guido V. Bloemberg and Erik C. Böttger. Their work appears in journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy, Blood, Journal of Antimicrobial Chemotherapy and Emerging 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.