Markus Rimann
Impact in
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- Viral Infectious Diseases and Gene Expression in Insects
- RNA Interference and Gene Delivery
- Gene Regulatory Network Analysis
- Advanced biosensing and bioanalysis techniques
- Biomedical Engineering top 5%
- 3D Printing in Biomedical Research
Papers in
-
- Additive Manufacturing and 3D Printing Technologies 4
- Co-authors
- Martin FusseneggerUrsula Graf‐HausnerJames E. BaileyCornelia FuxCharles J. ThompsonRowan P. MorrisStefan SchlatterJens M. Kelm
- Journals
- CHIMIA International Journal for Chemistry (3 papers)SLAS TECHNOLOGY (3 papers)Biotechnology and Bioengineering (2 papers)Metabolic Engineering (2 papers)Journal of Biotechnology (2 papers)
- Partner nations
- SwitzerlandFranceGermany
In The Last Decade
Markus Rimann
30 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.0k
- Biomedical Engineering 600
- Automotive Engineering 161
- Biomaterials 153
- Genetics 319
Countries citing papers authored by Markus Rimann
This map shows the geographic impact of Markus Rimann'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 Rimann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Rimann more than expected).
Fields of papers citing papers by Markus Rimann
This network shows the impact of papers produced by Markus Rimann. 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 Rimann. The network helps show where Markus Rimann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Rimann, 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 | 2022 | 4 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 56 | |
| 4 | 2018 | 79 | |
| 5 | 2018 | 142 | |
| 6 | 2015 | 11 | |
| 7 | 2015 | 99 | |
| 8 | 2014 | 57 | |
| 9 | 2013 | 39 | |
| 10 | 2013 | 1 | |
| 11 | 2013 | 22 | |
| 12 | 2012 | 161 | |
| 13 | 2011 | 59 | |
| 14 | 2007 | 110 | |
| 15 | 2002 | 125 | |
| 16 | 2001 | 18 | |
| 17 | 2001 | 40 | |
| 18 | 2001 | 52 | |
| 19 | 2000 | 290 | |
| 20 | 2000 | 35 |
About Markus Rimann
Markus Rimann is a scholar working on Biophysics, Automotive Engineering, Genetics, Biomedical Engineering and Cell Biology, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (12 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers), Virus-based gene therapy research (7 papers), RNA Interference and Gene Delivery (5 papers), CRISPR and Genetic Engineering (5 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), Tissue Engineering and Regenerative Medicine (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Biomedical Engineering (600 citations), Automotive Engineering (161 citations), Biomaterials (153 citations) and Genetics (319 citations). Markus Rimann has collaborated with scholars based in Switzerland, France and Germany. Frequent co-authors include Martin Fussenegger, Ursula Graf‐Hausner, James E. Bailey, Cornelia Fux, Charles J. Thompson, Rowan P. Morris, Stefan Schlatter, Jens M. Kelm, Wilfried Weber and Matthew J. Randall. Their work appears in journals such as CHIMIA International Journal for Chemistry, SLAS TECHNOLOGY, Biotechnology and Bioengineering, Metabolic Engineering and Journal of Biotechnology.
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.