Matthias Germer

21 total papers · 2.8k total citations
16 papers, 2.2k citations indexed

About

Matthias Germer is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Matthias Germer has authored 16 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 6 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Matthias Germer's work include Protease and Inhibitor Mechanisms (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Blood groups and transfusion (4 papers). Matthias Germer is often cited by papers focused on Protease and Inhibitor Mechanisms (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Blood groups and transfusion (4 papers). Matthias Germer collaborates with scholars based in Germany, United States and Switzerland. Matthias Germer's co-authors include Marcus E. Peter, Peter H. Krammer, Iris Behrmann, Frank Kischkel, Michael Pawlita, Klaus T. Preissner, Sandip M. Kanse, François Depasse, Nikolaus B. Binder and Stephan Schwers and has published in prestigious journals such as The EMBO Journal, PLoS ONE and Immunological Reviews.

In The Last Decade

Matthias Germer

16 papers receiving 2.2k citations

Hit Papers

Cytotoxicity-dependent AP... 1995 2026 2005 2015 1995 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthias Germer 1.6k 803 376 370 282 16 2.2k
S. Frieda A. Pearce 1.6k 1.0× 1.4k 1.8× 384 1.0× 421 1.1× 260 0.9× 12 3.2k
Emily Heikamp 1.6k 1.0× 1.2k 1.5× 488 1.3× 579 1.6× 170 0.6× 18 2.8k
Les Sekut 1.1k 0.7× 877 1.1× 282 0.8× 294 0.8× 230 0.8× 11 2.0k
Margaret Hugunin 1.9k 1.2× 1.1k 1.4× 314 0.8× 242 0.7× 303 1.1× 13 2.6k
Sigrid Cornelis 1.4k 0.9× 895 1.1× 409 1.1× 277 0.7× 527 1.9× 25 2.6k
Peter M. Morganelli 860 0.5× 775 1.0× 226 0.6× 342 0.9× 193 0.7× 27 2.1k
G. Duke Virca 836 0.5× 948 1.2× 342 0.9× 455 1.2× 134 0.5× 29 2.1k
Jianping Yin 976 0.6× 1.0k 1.3× 328 0.9× 297 0.8× 126 0.4× 24 2.0k
Markus A. Queisser 1.0k 0.6× 898 1.1× 261 0.7× 182 0.5× 178 0.6× 20 2.0k
Gabriela Brumatti 1.2k 0.8× 906 1.1× 295 0.8× 261 0.7× 386 1.4× 40 2.2k

Countries citing papers authored by Matthias Germer

Since Specialization
Citations

This map shows the geographic impact of Matthias Germer'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 Germer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Germer more than expected).

Fields of papers citing papers by Matthias Germer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthias Germer. 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 Germer. The network helps show where Matthias Germer may publish in the future.

Co-authorship network of co-authors of Matthias Germer

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Germer. A scholar is included among the top collaborators of Matthias Germer 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 Germer. Matthias Germer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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