Markus Axmann
Impact in
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
- Immunology top 5%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Biophysics 13
- Advanced Fluorescence Microscopy Techniques 12
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- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 2
- Co-authors
- Gerhard J. Schütz (15 shared papers)Johannes B. Huppa (8 shared papers)Mario O. Brameshuber (4 shared papers)Mark M. Davis (2 shared papers)Björn F. Lillemeier (1 shared paper)Lawrence O. Klein (1 shared paper)Evan William Newell (1 shared paper)Manuel Moertelmaier (1 shared paper)
- Journals
- Journal of Visualized Experiments (6 papers)Biophysical Journal (3 papers)Membranes (3 papers)Atherosclerosis (2 papers)Nano Letters (2 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Markus Axmann
31 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 76
- Biophysics 152
- Immunology 413
- Cell Biology 153
- Immunology and Allergy 46
- Molecular Biology 409
Countries citing papers authored by Markus Axmann
This map shows the geographic impact of Markus Axmann'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 Markus Axmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Axmann more than expected).
Fields of papers citing papers by Markus Axmann
This network shows the impact of papers produced by Markus Axmann. 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 Markus Axmann. The network helps show where Markus Axmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Axmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 415 | |
| 2 | 2015 | 156 | |
| 3 | 2013 | 122 | |
| 4 | 2018 | 102 | |
| 5 | 2021 | 42 | |
| 6 | 2008 | 38 | |
| 7 | 2012 | 32 | |
| 8 | 2017 | 29 | |
| 9 | 2017 | 25 | |
| 10 | 2019 | 23 | |
| 11 | 2004 | 22 | |
| 12 | 2019 | 22 | |
| 13 | 2020 | 21 | |
| 14 | 2002 | 20 | |
| 15 | 2018 | 18 | |
| 16 | 2018 | 18 | |
| 17 | 2001 | 14 | |
| 18 | 2015 | 14 | |
| 19 | 2018 | 13 | |
| 20 | 2018 | 12 |
About Markus Axmann
Markus Axmann is a scholar working on Biophysics, Immunology, Cancer Research, Modeling and Simulation and Molecular Biology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (12 papers), Lipid Membrane Structure and Behavior (7 papers), T-cell and B-cell Immunology (7 papers), Cholesterol and Lipid Metabolism (5 papers), MicroRNA in disease regulation (3 papers), Fractional Differential Equations Solutions (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Biophysics (152 citations), Immunology (413 citations), Cell Biology (153 citations), Immunology and Allergy (46 citations) and Molecular Biology (409 citations). Markus Axmann has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Gerhard J. Schütz, Johannes B. Huppa, Mario O. Brameshuber, Mark M. Davis, Björn F. Lillemeier, Lawrence O. Klein, Evan William Newell, Manuel Moertelmaier, Herbert Stangl and Birgit Plochberger. Their work appears in journals such as Journal of Visualized Experiments, Biophysical Journal, Membranes, Atherosclerosis and Nano Letters.
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.