Michael Meyer‐Hermann
- Immunology top 0.5%
- T-cell and B-cell Immunology 57
- Immune Cell Function and Interaction 44
- Immunotherapy and Immune Responses 33
- Modeling and Simulation top 0.5%
- Mathematical Biology Tumor Growth 18
- COVID-19 epidemiological studies 13
- Biophysics top 2%
- Virology top 5%
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- Monoclonal and Polyclonal Antibodies Research 20
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- Gene Regulatory Network Analysis 11
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- Cellular Mechanics and Interactions 9
- Co-authors
- Gabriel D. VictoraMichael L. DustinAlice O. KamphorstMichel C. NussenzweigDavid FooksmanTanja A. SchwickertGernot SchallerMarc Thilo Figge
- Journals
- Frontiers in Immunology (12 papers)PLoS Computational Biology (10 papers)Cell Reports (6 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Michael Meyer‐Hermann
153 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Immunology 2.8k
- Modeling and Simulation 534
- Biophysics 179
- Virology 147
- Radiology, Nuclear Medicine and Imaging 575
Countries citing papers authored by Michael Meyer‐Hermann
This map shows the geographic impact of Michael Meyer‐Hermann'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 Meyer‐Hermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Meyer‐Hermann more than expected).
Fields of papers citing papers by Michael Meyer‐Hermann
This network shows the impact of papers produced by Michael Meyer‐Hermann. 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 Meyer‐Hermann. The network helps show where Michael Meyer‐Hermann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Meyer‐Hermann, 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 | 7 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 3 | |
| 6 | 2021 | 38 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 45 | |
| 11 | 2019 | 64 | |
| 12 | 2019 | 3 | |
| 13 | 2017 | 10 | |
| 14 | 2016 | 313 | |
| 15 | 2015 | 4 | |
| 16 | 2013 | 123 | |
| 17 | 2010 | 32 | |
| 18 | Epidermal homeostasis control in an off-lattice agent-based model | 2005 | 1 |
| 19 | Dynamic Delaunay tetrahedralizations and Voronoi tessellations in three dimensions | 2003 | 0 |
| 20 | A quantitative model for presynaptic free calcium dynamics during the induction of long-term effects | 2002 | 0 |
About Michael Meyer‐Hermann
Michael Meyer‐Hermann is a scholar working on Modeling and Simulation, Immunology and Computer Graphics and Computer-Aided Design, having authored 158 papers that have together received 5.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (57 papers), Immune Cell Function and Interaction (44 papers), Immunotherapy and Immune Responses (33 papers), Monoclonal and Polyclonal Antibodies Research (20 papers), Mathematical Biology Tumor Growth (18 papers), COVID-19 epidemiological studies (13 papers), Gene Regulatory Network Analysis (11 papers) and Cellular Mechanics and Interactions (9 papers). The work is most often cited by research in Immunology (2.8k citations), Modeling and Simulation (534 citations) and Biophysics (179 citations). Michael Meyer‐Hermann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Gabriel D. Victora, Michael L. Dustin, Alice O. Kamphorst, Michel C. Nussenzweig, David Fooksman, Tanja A. Schwickert, Gernot Schaller, Marc Thilo Figge, Kai‐Michael Toellner and Philip K. Maini. Their work appears in journals such as Frontiers in Immunology, PLoS Computational Biology, Cell Reports, The Journal of Experimental Medicine and iScience.
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.