Caroline Weis
Impact in
- Clinical Biochemistry top 2%
- Bacterial Identification and Susceptibility Testing
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Infective Endocarditis Diagnosis and Management 1
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- Bacterial Identification and Susceptibility Testing 3
- Co-authors
- Karsten Borgwardt (5 shared papers)Catherine R. Jutzeler (3 shared papers)Adrian Egli (4 shared papers)Bastian Rieck (4 shared papers)Aline Cuénod (2 shared papers)Olivier Dubuis (1 shared paper)Claudia Lang (1 shared paper)Michael Osthoff (1 shared paper)
- Journals
- Clinical Microbiology and Infection (1 paper)Nature Medicine (1 paper)Travel Medicine and Infectious Disease (1 paper)Journal of Hepatology (1 paper)Structure (1 paper)
- Partner nations
- SwitzerlandCanadaUnited States
In The Last Decade
Caroline Weis
7 papers receiving 434 citations
Caroline Weis's Hit Papers
Peers
Comparison fields: 5 of 90
- Clinical Biochemistry 181
- Molecular Medicine 44
- Health Informatics 11
- Applied Microbiology and Biotechnology 15
- Infectious Diseases 91
Countries citing papers authored by Caroline Weis
This map shows the geographic impact of Caroline Weis'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 Caroline Weis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Weis more than expected).
Fields of papers citing papers by Caroline Weis
This network shows the impact of papers produced by Caroline Weis. 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 Caroline Weis. The network helps show where Caroline Weis may publish in the future.
Co-authors
The 25 scholars most cited alongside Caroline Weis, 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 | Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning Hit paper breakdown → | 2022 | 156 |
| 2 | 2020 | 132 | |
| 3 | 2020 | 104 | |
| 4 | 2020 | 23 | |
| 5 | 2017 | 16 | |
| 6 | 2020 | 7 | |
| 7 | 2023 | 1 |
About Caroline Weis
Caroline Weis is a scholar working on Epidemiology, Clinical Biochemistry, Infectious Diseases, Molecular Biology and Neurology, having authored 7 papers that have together received 439 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (3 papers), COVID-19 Clinical Research Studies (1 paper), Long-Term Effects of COVID-19 (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), DNA Repair Mechanisms (1 paper), Enzyme Structure and Function (1 paper), Infective Endocarditis Diagnosis and Management (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Clinical Biochemistry (181 citations), Molecular Medicine (44 citations), Health Informatics (11 citations), Applied Microbiology and Biotechnology (15 citations) and Infectious Diseases (91 citations). Caroline Weis has collaborated with scholars based in Switzerland, Canada and United States. Frequent co-authors include Karsten Borgwardt, Catherine R. Jutzeler, Adrian Egli, Bastian Rieck, Aline Cuénod, Olivier Dubuis, Claudia Lang, Michael Osthoff, Maximilian Brackmann and Michael Oberle. Their work appears in journals such as Clinical Microbiology and Infection, Nature Medicine, Travel Medicine and Infectious Disease, Journal of Hepatology and Structure.
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.