Jan Brauner
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Outbreaks Research
Papers in
-
- COVID-19 epidemiological studies 5
-
- Neuroscience and Neural Engineering 2
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Martin Herrmann (3 shared papers)Mona H. C. Biermann (3 shared papers)Sören Mindermann (5 shared papers)Yi Zhao (2 shared papers)Mrinank Sharma (5 shared papers)Hang Yang (1 shared paper)Yi Liu (1 shared paper)Gavin Leech (3 shared papers)
- Journals
- Science (3 papers)Nature Communications (2 papers)Depression and Anxiety (2 papers)Journal of Antimicrobial Chemotherapy (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Jan Brauner
22 papers receiving 1.8k citations
Jan Brauner's Hit Papers
Peers
Comparison fields: 5 of 170
- Modeling and Simulation 575
- Infectious Diseases 345
- Health Informatics 27
- Immunology 307
- Health 99
Countries citing papers authored by Jan Brauner
This map shows the geographic impact of Jan Brauner'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 Jan Brauner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Brauner more than expected).
Fields of papers citing papers by Jan Brauner
This network shows the impact of papers produced by Jan Brauner. 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 Jan Brauner. The network helps show where Jan Brauner may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Brauner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inferring the effectiveness of government interventions against COVID-19 Hit paper breakdown → | 2020 | 674 |
| 2 | 2016 | 278 | |
| 3 | Managing extreme AI risks amid rapid progress Hit paper breakdown → | 2024 | 155 |
| 4 | 2021 | 149 | |
| 5 | 2016 | 131 | |
| 6 | 2021 | 89 | |
| 7 | 2022 | 60 | |
| 8 | 2021 | 59 | |
| 9 | 2023 | 40 | |
| 10 | 2022 | 39 | |
| 11 | 2013 | 35 | |
| 12 | 2022 | 24 | |
| 13 | 2014 | 21 | |
| 14 | 2022 | 13 | |
| 15 | 2023 | 13 | |
| 16 | 2025 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2013 | 11 | |
| 19 | 2014 | 9 | |
| 20 | 2022 | 5 |
About Jan Brauner
Jan Brauner is a scholar working on Modeling and Simulation, Cellular and Molecular Neuroscience, Clinical Psychology, Immunology and Economics and Econometrics, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), COVID-19 Pandemic Impacts (3 papers), Lipid Membrane Structure and Behavior (2 papers), Neuroscience and Neural Engineering (2 papers), Adversarial Robustness in Machine Learning (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Modeling and Simulation (575 citations), Infectious Diseases (345 citations), Health Informatics (27 citations), Immunology (307 citations) and Health (99 citations). Jan Brauner has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Martin Herrmann, Mona H. C. Biermann, Sören Mindermann, Yi Zhao, Mrinank Sharma, Hang Yang, Yi Liu, Gavin Leech, Joshua Teperowski Monrad and Tomáš Gavenčiak. Their work appears in journals such as Science, Nature Communications, Depression and Anxiety, Journal of Antimicrobial Chemotherapy and Proceedings of the National Academy of Sciences.
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.