Markus Kunze
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
- Molecular Biology top 10%
- Peroxisome Proliferator-Activated Receptors
- RNA modifications and cancer
- Mitochondrial Function and Pathology
- RNA Research and Splicing
Papers in
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- Gas Dynamics and Kinetic Theory 11
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- Quantum chaos and dynamical systems 12
- Co-authors
- Johannes Berger (24 shared papers)Sonja Forss‐Petter (11 shared papers)Andreas Hartig (5 shared papers)Manuel D. P. Monteiro Marques (1 shared paper)Herbert E. Spohn (5 shared papers)Itsara Pracharoenwattana (1 shared paper)Steven M. Smith (1 shared paper)Fabian Dorninger (1 shared paper)
In The Last Decade
Markus Kunze
87 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 128
- Clinical Biochemistry 157
- Molecular Biology 1.2k
- Biochemistry 113
- Applied Mathematics 168
- Statistical and Nonlinear Physics 191
Countries citing papers authored by Markus Kunze
This map shows the geographic impact of Markus Kunze'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 Kunze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Kunze more than expected).
Fields of papers citing papers by Markus Kunze
This network shows the impact of papers produced by Markus Kunze. 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 Kunze. The network helps show where Markus Kunze may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Kunze, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 199 | |
| 2 | 2006 | 171 | |
| 3 | 2015 | 154 | |
| 4 | 2013 | 128 | |
| 5 | 2013 | 120 | |
| 6 | 2000 | 101 | |
| 7 | 2015 | 95 | |
| 8 | 2009 | 85 | |
| 9 | 2002 | 64 | |
| 10 | 1997 | 60 | |
| 11 | 1997 | 52 | |
| 12 | 2019 | 50 | |
| 13 | 2007 | 49 | |
| 14 | 2008 | 49 | |
| 15 | 2011 | 47 | |
| 16 | 2010 | 46 | |
| 17 | 2013 | 42 | |
| 18 | 2006 | 39 | |
| 19 | 2005 | 37 | |
| 20 | 2006 | 36 |
About Markus Kunze
Markus Kunze is a scholar working on Applied Mathematics, Statistical and Nonlinear Physics, Molecular Biology, Astronomy and Astrophysics and Mathematical Physics, having authored 91 papers that have together received 2.4k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (32 papers), Quantum chaos and dynamical systems (12 papers), Cosmology and Gravitation Theories (11 papers), Gas Dynamics and Kinetic Theory (11 papers), Adipose Tissue and Metabolism (8 papers), Cholesterol and Lipid Metabolism (5 papers), RNA modifications and cancer (5 papers) and Metabolism and Genetic Disorders (5 papers). The work is most often cited by research in Clinical Biochemistry (157 citations), Molecular Biology (1.2k citations), Biochemistry (113 citations), Applied Mathematics (168 citations) and Statistical and Nonlinear Physics (191 citations). Markus Kunze has collaborated with scholars based in Germany, Austria and Sweden. Frequent co-authors include Johannes Berger, Sonja Forss‐Petter, Andreas Hartig, Manuel D. P. Monteiro Marques, Herbert E. Spohn, Itsara Pracharoenwattana, Steven M. Smith, Fabian Dorninger, Tassilo Küpper and Vinzenz Hombach. Their work appears in journals such as Communications in Mathematical Physics, Journal of Biological Chemistry, European Heart Journal, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Frontiers in Physiology.
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.