Markus Hoffmann
Impact in
- Infectious Diseases top 0.01%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Neurology top 0.1%
- Long-Term Effects of COVID-19
Papers in
-
- SARS-CoV-2 and COVID-19 Research 71
- COVID-19 Clinical Research Studies 36
- Viral Infections and Vectors 16
- Viral Infections and Outbreaks Research 16
- SARS-CoV-2 detection and testing 14
- Virology 13
- Co-authors
- Stefan PöhlmannHannah Kleine‐WeberNadine KrügerChristian DrostenMarcel A. MüllerGeorg HerrlerSimon SchroederAndreas Nitsche
- Journals
- Journal of Virology (13 papers)PLoS ONE (8 papers)Cell Reports (7 papers)Viruses (6 papers)Cell (5 papers)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Markus Hoffmann
112 papers receiving 18.5k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Infectious Diseases 14.2k
- Neurology 3.7k
- Obstetrics and Gynecology 997
- Animal Science and Zoology 1.2k
- Modeling and Simulation 466
Countries citing papers authored by Markus Hoffmann
This map shows the geographic impact of Markus Hoffmann'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 Markus Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Hoffmann more than expected).
Fields of papers citing papers by Markus Hoffmann
This network shows the impact of papers produced by Markus Hoffmann. 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 Markus Hoffmann. The network helps show where Markus Hoffmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Hoffmann, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 38 | |
| 11 | 2022 | 24 | |
| 12 | 2022 | 34 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 4 | |
| 15 | 2022 | 17 | |
| 16 | 2021 | 29 | |
| 17 | 2021 | 162 | |
| 18 | 2021 | 29 | |
| 19 | 2021 | 56 | |
| 20 | Structural Basis for Potent Neutralization of Betacoronaviruses by Single-Domain Camelid Antibodies Hit paper breakdown → | 2020 | 387 |
About Markus Hoffmann
Markus Hoffmann is a scholar working on Infectious Diseases, Virology, Animal Science and Zoology, Epidemiology and Immunology, having authored 116 papers that have together received 18.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (71 papers), COVID-19 Clinical Research Studies (36 papers), Animal Virus Infections Studies (17 papers), Viral Infections and Vectors (16 papers), Viral Infections and Outbreaks Research (16 papers), Virology and Viral Diseases (14 papers), SARS-CoV-2 detection and testing (14 papers) and Virus-based gene therapy research (10 papers). The work is most often cited by research in Infectious Diseases (14.2k citations), Neurology (3.7k citations), Obstetrics and Gynecology (997 citations), Animal Science and Zoology (1.2k citations) and Modeling and Simulation (466 citations). Markus Hoffmann has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Stefan Pöhlmann, Hannah Kleine‐Weber, Nadine Krüger, Christian Drosten, Marcel A. Müller, Georg Herrler, Simon Schroeder, Andreas Nitsche, Tobias S. Schiergens and Tanja Herrler. Their work appears in journals such as Journal of Virology, PLoS ONE, Cell Reports, Viruses and Cell.
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.