Michael Ameismeier
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- RNA and protein synthesis mechanisms 6
- RNA modifications and cancer 6
- RNA Research and Splicing 5
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- Viral gastroenteritis research and epidemiology 1
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Roland Beckmann (7 shared papers)Otto Berninghausen (6 shared papers)Jingdong Cheng (5 shared papers)Matthias Thoms (4 shared papers)Hanna Kratzat (2 shared papers)Thomas Becker (2 shared papers)Timur Mackens‐Kiani (2 shared papers)Robert Buschauer (2 shared papers)
- Journals
- Nature (3 papers)Science (2 papers)Nucleic Acids Research (1 paper)The EMBO Journal (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- GermanyFranceSwitzerland
In The Last Decade
Michael Ameismeier
8 papers receiving 1.0k citations
Michael Ameismeier's Hit Papers
Peers
Comparison fields: 5 of 79
- Infectious Diseases 398
- Molecular Biology 552
- Immunology 156
- Animal Science and Zoology 59
- Neurology 66
Countries citing papers authored by Michael Ameismeier
This map shows the geographic impact of Michael Ameismeier'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 Michael Ameismeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Ameismeier more than expected).
Fields of papers citing papers by Michael Ameismeier
This network shows the impact of papers produced by Michael Ameismeier. 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 Michael Ameismeier. The network helps show where Michael Ameismeier may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Ameismeier, 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 | Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2 Hit paper breakdown → | 2020 | 560 |
| 2 | 2020 | 158 | |
| 3 | 2018 | 106 | |
| 4 | 2020 | 59 | |
| 5 | 2020 | 55 | |
| 6 | 2020 | 41 | |
| 7 | 2023 | 19 | |
| 8 | 2022 | 15 |
About Michael Ameismeier
Michael Ameismeier is a scholar working on Molecular Biology, Infectious Diseases, Cellular and Molecular Neuroscience, Oncology and Cell Biology, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (6 papers), RNA Research and Splicing (5 papers), Axon Guidance and Neuronal Signaling (1 paper), Viral gastroenteritis research and epidemiology (1 paper), Erythrocyte Function and Pathophysiology (1 paper), Zebrafish Biomedical Research Applications (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Infectious Diseases (398 citations), Molecular Biology (552 citations), Immunology (156 citations), Animal Science and Zoology (59 citations) and Neurology (66 citations). Michael Ameismeier has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Roland Beckmann, Otto Berninghausen, Jingdong Cheng, Matthias Thoms, Hanna Kratzat, Thomas Becker, Timur Mackens‐Kiani, Robert Buschauer, Maximilian Hirschenberger and Timo Denk. Their work appears in journals such as Nature, Science, Nucleic Acids Research, The EMBO Journal and Nature Structural & Molecular Biology.
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.