Matthias Geyer

16.3k total citations · 3 hit papers
201 papers, 10.8k citations indexed

About

Matthias Geyer is a scholar working on Molecular Biology, Virology and Immunology. According to data from OpenAlex, Matthias Geyer has authored 201 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Molecular Biology, 44 papers in Virology and 40 papers in Immunology. Recurrent topics in Matthias Geyer's work include HIV Research and Treatment (44 papers), RNA Research and Splicing (27 papers) and Inflammasome and immune disorders (24 papers). Matthias Geyer is often cited by papers focused on HIV Research and Treatment (44 papers), RNA Research and Splicing (27 papers) and Inflammasome and immune disorders (24 papers). Matthias Geyer collaborates with scholars based in Germany, United States and France. Matthias Geyer's 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 and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Matthias Geyer

198 papers receiving 10.7k citations

Hit Papers

Microglia-derived ASC specks cross-seed amyloid-β in Alzh... 2017 2026 2020 2023 2017 2022 2025 200 400 600

Peers

Matthias Geyer
Comparison fields: 5 of 155
  • Molecular Biology 7.1k
  • Virology 1.9k
  • Immunology 1.8k
  • Cell Biology 1.5k
  • Oncology 1.3k
Replace Marilyn D. Resh with:
Marilyn D. Resh United States
David G. Myszka United States
Mark R. Wormald United Kingdom
Leo C. James United Kingdom
Martina Schnölzer Germany
E. Yvonne Jones United Kingdom
Pauline M. Rudd United Kingdom
Stefano Fais Italy
Britta Brügger Germany
Heinrich Sticht Germany
Marilyn D. Resh United States View profile →
Citations per field, relative to Matthias Geyer
Matthias Geyer · 1×
Citations per year, relative to Matthias Geyer
Matthias Geyer · 1×

Countries citing papers authored by Matthias Geyer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Matthias Geyer

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Geyer. A scholar is included among the top collaborators of Matthias Geyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthias Geyer. Matthias Geyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 1
3 3
4
Mechanisms of NLRP3 activation and inhibition elucidated by functional analysis of disease-associated variants breakdown →
24
5 1
6 12
7 3
8 5
9 14
10 10
11 11
12 44
13 63
14 67
15 12
16 30
17 96
18 15
19 29
20 10

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.

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2026