Matthias Geyer
- Virology top 0.2%
- HIV Research and Treatment 44
- Biological Psychiatry top 1%
- Molecular Biology top 0.5%
- RNA Research and Splicing 27
- Inflammasome and immune disorders 24
- Genomics and Chromatin Dynamics 22
- RNA modifications and cancer 16
- Protein Degradation and Inhibitors 15
- Cell Biology top 0.5%
- Cellular Mechanics and Interactions 18
- Immunology top 1%
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- Cancer-related Molecular Pathways 13
- Co-authors
- B. Matija PeterlinHans Robert KalbitzerO. FacklerDirk EickAlfred WittinghoferAndré SchönichenChristian A. BöskenSonja Kühn
- Journals
- Nature (4 papers)Chemical Reviews (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Matthias Geyer
198 papers receiving 10.7k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Virology 1.9k
- Biological Psychiatry 272
- Molecular Biology 7.1k
- Cell Biology 1.5k
- Immunology 1.8k
Countries citing papers authored by Matthias Geyer
This map shows the geographic impact of Matthias Geyer'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 Matthias Geyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Geyer more than expected).
Fields of papers citing papers by Matthias Geyer
This network shows the impact of papers produced by Matthias Geyer. 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 Matthias Geyer. The network helps show where Matthias Geyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthias Geyer, 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 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | Mechanisms of NLRP3 activation and inhibition elucidated by functional analysis of disease-associated variantsbreakdown → | 2025 | 24 |
| 5 | 2024 | 1 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 44 | |
| 13 | 2022 | 63 | |
| 14 | 2022 | 67 | |
| 15 | 2022 | 12 | |
| 16 | 2022 | 30 | |
| 17 | 2021 | 96 | |
| 18 | 2018 | 15 | |
| 19 | 2012 | 29 | |
| 20 | 1996 | 10 |
About Matthias Geyer
Matthias Geyer is a scholar working on Virology, Immunology and Molecular Biology, having authored 201 papers that have together received 10.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (44 papers), RNA Research and Splicing (27 papers), Inflammasome and immune disorders (24 papers), Genomics and Chromatin Dynamics (22 papers), Cellular Mechanics and Interactions (18 papers), RNA modifications and cancer (16 papers), Protein Degradation and Inhibitors (15 papers) and Cancer-related Molecular Pathways (13 papers). The work is most often cited by research in Virology (1.9k citations), Biological Psychiatry (272 citations) and Molecular Biology (7.1k citations). Matthias Geyer has collaborated with scholars based in Germany, United States and France. Frequent co-authors include B. Matija Peterlin, Hans Robert Kalbitzer, O. Fackler, Dirk Eick, Alfred Wittinghofer, André Schönichen, Christian A. Bösken, Sonja Kühn, Eicke Latz and Rebecca Brinkschulte. Their work appears in journals such as Nature, Chemical Reviews 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.