David Bante
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
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- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 13
- COVID-19 Clinical Research Studies 7
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- Bacillus and Francisella bacterial research 2
- Protein Degradation and Inhibitors 1
- Co-authors
- Dorotheé von Laer (14 shared papers)Janine Kimpel (9 shared papers)Wegene Borena (9 shared papers)Emmanuel Heilmann (4 shared papers)Samuel Wilks (2 shared papers)Annika Rössler (8 shared papers)Antonia Netzl (3 shared papers)Derek J. Smith (3 shared papers)
- Journals
- Nature Communications (2 papers)Viruses (2 papers)The Journal of Infectious Diseases (2 papers)Frontiers in Cellular and Infection Microbiology (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- AustriaUnited KingdomUnited States
In The Last Decade
David Bante
12 papers receiving 156 citations
Peers
Comparison fields: 5 of 39
- Infectious Diseases 134
- Animal Science and Zoology 30
- Computational Theory and Mathematics 39
- Modeling and Simulation 6
- Health 7
Countries citing papers authored by David Bante
This map shows the geographic impact of David Bante'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 David Bante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bante more than expected).
Fields of papers citing papers by David Bante
This network shows the impact of papers produced by David Bante. 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 David Bante. The network helps show where David Bante may publish in the future.
Co-authors
The 25 scholars most cited alongside David Bante, 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 | 2022 | 69 | |
| 2 | 2022 | 42 | |
| 3 | 2023 | 18 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 7 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2023 | 0 |
About David Bante
David Bante is a scholar working on Infectious Diseases, Molecular Biology, Animal Science and Zoology, Computational Theory and Mathematics and Modeling and Simulation, having authored 14 papers that have together received 158 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (13 papers), COVID-19 Clinical Research Studies (7 papers), Animal Virus Infections Studies (4 papers), Computational Drug Discovery Methods (2 papers), Bacillus and Francisella bacterial research (2 papers), COVID-19 epidemiological studies (2 papers), Protein Degradation and Inhibitors (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Infectious Diseases (134 citations), Animal Science and Zoology (30 citations), Computational Theory and Mathematics (39 citations), Modeling and Simulation (6 citations) and Health (7 citations). David Bante has collaborated with scholars based in Austria, United Kingdom and United States. Frequent co-authors include Dorotheé von Laer, Janine Kimpel, Wegene Borena, Emmanuel Heilmann, Samuel Wilks, Annika Rössler, Antonia Netzl, Derek J. Smith, Francesco Costacurta and Ludwig Knabl. Their work appears in journals such as Nature Communications, Viruses, The Journal of Infectious Diseases, Frontiers in Cellular and Infection Microbiology and Science Translational Medicine.
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.