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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- Sepsis Diagnosis and Treatment 2
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- COVID-19 Clinical Research Studies 2
- Antimicrobial Resistance in Staphylococcus 1
- Co-authors
- Karsten Borgwardt (5 shared papers)Catherine R. Jutzeler (3 shared papers)Bastian Rieck (4 shared papers)Adrian Egli (4 shared papers)Aline Cuénod (2 shared papers)Kirstine K. Søgaard (1 shared paper)Claudia Lang (1 shared paper)Susanne Graf (1 shared paper)
- Journals
- Structure (1 paper)Nature Medicine (1 paper)Travel Medicine and Infectious Disease (1 paper)Journal of Hepatology (1 paper)Clinical Microbiology and Infection (1 paper)
- Partner nations
- SwitzerlandCanadaUnited States
In The Last Decade
Caroline Weis
7 papers receiving 412 citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Clinical Biochemistry 177
- Molecular Medicine 57
- Applied Microbiology and Biotechnology 23
- Health Informatics 14
- Infectious Diseases 107
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 | 140 |
| 2 | 2020 | 126 | |
| 3 | 2020 | 104 | |
| 4 | 2020 | 22 | |
| 5 | 2017 | 16 | |
| 6 | 2020 | 7 | |
| 7 | 2023 | 1 |
About Caroline Weis
Caroline Weis is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Clinical Biochemistry and Neurology, having authored 7 papers that have together received 416 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (3 papers), Long-Term Effects of COVID-19 (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), COVID-19 Clinical Research Studies (2 papers), Sepsis Diagnosis and Treatment (2 papers), Antimicrobial Resistance in Staphylococcus (1 paper), Cell Image Analysis Techniques (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Clinical Biochemistry (177 citations), Molecular Medicine (57 citations), Applied Microbiology and Biotechnology (23 citations), Health Informatics (14 citations) and Infectious Diseases (107 citations). Caroline Weis has collaborated with scholars based in Switzerland, Canada and United States. Frequent co-authors include Karsten Borgwardt, Catherine R. Jutzeler, Bastian Rieck, Adrian Egli, Aline Cuénod, Kirstine K. Søgaard, Claudia Lang, Susanne Graf, Michael Osthoff and Olivier Dubuis. Their work appears in journals such as Structure, Nature Medicine, Travel Medicine and Infectious Disease, Journal of Hepatology and Clinical Microbiology and Infection.
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.