Anne Cossmann
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 5%
Papers in
-
- SARS-CoV-2 and COVID-19 Research 19
- COVID-19 Clinical Research Studies 10
- SARS-CoV-2 detection and testing 3
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- vaccines and immunoinformatics approaches 2
- Co-authors
- Georg M. N. Behrens (25 shared papers)Alexandra Dopfer‐Jablonka (20 shared papers)Luise Graichen (9 shared papers)Markus Hoffmann (9 shared papers)Hans‐Martin Jäck (7 shared papers)Stefan Pöhlmann (9 shared papers)Sebastian Schulz (7 shared papers)Amy Kempf (8 shared papers)
In The Last Decade
Anne Cossmann
27 papers receiving 931 citations
Anne Cossmann's Hit Papers
Peers
Comparison fields: 5 of 69
- Infectious Diseases 756
- Modeling and Simulation 45
- Animal Science and Zoology 79
- Health 50
- Obstetrics and Gynecology 42
Countries citing papers authored by Anne Cossmann
This map shows the geographic impact of Anne Cossmann'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 Anne Cossmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Cossmann more than expected).
Fields of papers citing papers by Anne Cossmann
This network shows the impact of papers produced by Anne Cossmann. 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 Anne Cossmann. The network helps show where Anne Cossmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne Cossmann, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Omicron variant is highly resistant against antibody-mediated neutralization: Implications for control of the COVID-19 pandemic Hit paper breakdown → | 2021 | 566 |
| 2 | SARS-CoV-2 BA.2.86 enters lung cells and evades neutralizing antibodies with high efficiency Hit paper breakdown → | 2024 | 56 |
| 3 | 2021 | 46 | |
| 4 | 2020 | 45 | |
| 5 | 2021 | 39 | |
| 6 | 2022 | 30 | |
| 7 | 2021 | 29 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2024 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2025 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2022 | 4 |
About Anne Cossmann
Anne Cossmann is a scholar working on Infectious Diseases, Molecular Biology, Neurology, Animal Science and Zoology and Health, having authored 27 papers that have together received 936 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (19 papers), COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 detection and testing (3 papers), Long-Term Effects of COVID-19 (3 papers), Animal Virus Infections Studies (3 papers), Vaccine Coverage and Hesitancy (2 papers), COVID-19 epidemiological studies (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Infectious Diseases (756 citations), Modeling and Simulation (45 citations), Animal Science and Zoology (79 citations), Health (50 citations) and Obstetrics and Gynecology (42 citations). Anne Cossmann has collaborated with scholars based in Germany, Romania and Australia. Frequent co-authors include Georg M. N. Behrens, Alexandra Dopfer‐Jablonka, Luise Graichen, Markus Hoffmann, Hans‐Martin Jäck, Stefan Pöhlmann, Sebastian Schulz, Amy Kempf, Inga Nehlmeier and Anna-Sophie Moldenhauer. Their work appears in journals such as Frontiers in Public Health, Frontiers in Immunology, Cell, Nature Communications 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.