Mathias Hofmann
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Cellular transport and secretion
Papers in
-
- Lipid Membrane Structure and Behavior 8
- Glycosylation and Glycoproteins Research 3
- RNA and protein synthesis mechanisms 3
- RNA Interference and Gene Delivery 2
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- Cellular transport and secretion 5
- Co-authors
- Leonhard Held (1 shared paper)Michael Höhle (1 shared paper)Dieter Langosch (11 shared papers)Bernhard C. Poschner (6 shared papers)Jennifer Reed (2 shared papers)Huub J. M. de Groot (4 shared papers)Julian Ollesch (2 shared papers)Claudia Czado (1 shared paper)
- Journals
- Analytical Biochemistry (2 papers)Journal of Molecular Biology (2 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (1 paper)Molecular Membrane Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Mathias Hofmann
16 papers receiving 434 citations
Peers
Comparison fields: 5 of 86
- Modeling and Simulation 79
- Cell Biology 104
- Virology 16
- Epidemiology 109
- Molecular Biology 222
Countries citing papers authored by Mathias Hofmann
This map shows the geographic impact of Mathias Hofmann'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 Mathias Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Hofmann more than expected).
Fields of papers citing papers by Mathias Hofmann
This network shows the impact of papers produced by Mathias Hofmann. 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 Mathias Hofmann. The network helps show where Mathias Hofmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathias Hofmann, 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 | 2005 | 148 | |
| 2 | 2004 | 76 | |
| 3 | 2006 | 53 | |
| 4 | Selection strategies for regular vine copulae | 2013 | 30 |
| 5 | 2009 | 29 | |
| 6 | 2007 | 24 | |
| 7 | 2007 | 24 | |
| 8 | 2009 | 19 | |
| 9 | 2007 | 11 | |
| 10 | 2007 | 9 | |
| 11 | 2009 | 8 | |
| 12 | Data Mining and Knowledge Discovery for the TerraSAR-X Payload Ground Segment | 2015 | 5 |
| 13 | 2006 | 3 | |
| 14 | 2007 | 3 | |
| 15 | 2016 | 2 | |
| 16 | 2019 | 1 | |
| 17 | 2005 | 0 |
About Mathias Hofmann
Mathias Hofmann is a scholar working on Molecular Biology, Cell Biology, Computer Vision and Pattern Recognition, Epidemiology and Biomaterials, having authored 17 papers that have together received 445 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (8 papers), Cellular transport and secretion (5 papers), Glycosylation and Glycoproteins Research (3 papers), RNA and protein synthesis mechanisms (3 papers), Data-Driven Disease Surveillance (2 papers), COVID-19 epidemiological studies (2 papers), Remote-Sensing Image Classification (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Modeling and Simulation (79 citations), Cell Biology (104 citations), Virology (16 citations), Epidemiology (109 citations) and Molecular Biology (222 citations). Mathias Hofmann has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Leonhard Held, Michael Höhle, Dieter Langosch, Bernhard C. Poschner, Jennifer Reed, Huub J. M. de Groot, Julian Ollesch, Claudia Czado, Klaus Gerwert and Jan Rohde. Their work appears in journals such as Analytical Biochemistry, Journal of Molecular Biology, Biochimica et Biophysica Acta (BBA) - Biomembranes, Molecular Membrane Biology 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.