Daniel C. Angst
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
- Genetics 6
- Evolution and Genetic Dynamics 6
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- Antibiotic Resistance in Bacteria 4
- Co-authors
- Alex R. Hall (4 shared papers)Sebastian Bonhoeffer (7 shared papers)Nicola Low (1 shared paper)Peter Ashcroft (1 shared paper)Sonja Lehtinen (1 shared paper)Marloes H. Maathuis (2 shared papers)Jérémie Scire (2 shared papers)Tanja Stadler (2 shared papers)
- Journals
- eLife (3 papers)Proceedings of the National Academy of Sciences (2 papers)The ISME Journal (1 paper)BMC Bioinformatics (1 paper)Evolutionary Applications (1 paper)
- Partner nations
- SwitzerlandSpainUnited States
In The Last Decade
Daniel C. Angst
10 papers receiving 299 citations
Peers
Comparison fields: 5 of 92
- Modeling and Simulation 90
- Molecular Medicine 66
- Applied Microbiology and Biotechnology 13
- Infectious Diseases 79
- Genetics 72
Countries citing papers authored by Daniel C. Angst
This map shows the geographic impact of Daniel C. Angst'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 Daniel C. Angst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Angst more than expected).
Fields of papers citing papers by Daniel C. Angst
This network shows the impact of papers produced by Daniel C. Angst. 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 Daniel C. Angst. The network helps show where Daniel C. Angst may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Angst, 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 | 2021 | 54 | |
| 2 | 2022 | 50 | |
| 3 | 2021 | 47 | |
| 4 | 2013 | 36 | |
| 5 | 2014 | 34 | |
| 6 | 2023 | 32 | |
| 7 | 2017 | 22 | |
| 8 | 2023 | 17 | |
| 9 | 2018 | 9 | |
| 10 | 2024 | 1 | |
| 11 | 2026 | 0 |
About Daniel C. Angst
Daniel C. Angst is a scholar working on Genetics, Molecular Medicine, Modeling and Simulation, Infectious Diseases and Molecular Biology, having authored 11 papers that have together received 302 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (6 papers), Antibiotic Resistance in Bacteria (4 papers), COVID-19 epidemiological studies (3 papers), Gut microbiota and health (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), HIV Research and Treatment (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Mathematical and Theoretical Epidemiology and Ecology Models (1 paper). The work is most often cited by research in Modeling and Simulation (90 citations), Molecular Medicine (66 citations), Applied Microbiology and Biotechnology (13 citations), Infectious Diseases (79 citations) and Genetics (72 citations). Daniel C. Angst has collaborated with scholars based in Switzerland, Spain and United States. Frequent co-authors include Alex R. Hall, Sebastian Bonhoeffer, Nicola Low, Peter Ashcroft, Sonja Lehtinen, Marloes H. Maathuis, Jérémie Scire, Tanja Stadler, Jana S. Huisman and Jinzhou Li. Their work appears in journals such as eLife, Proceedings of the National Academy of Sciences, The ISME Journal, BMC Bioinformatics and Evolutionary Applications.
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.