Mirko Theis
Impact in
- Aging top 5%
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
-
- Advanced biosensing and bioanalysis techniques 9
- RNA Interference and Gene Delivery 9
- CRISPR and Genetic Engineering 8
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 3
- Oncology 5
- Co-authors
- Frank Buchholz (22 shared papers)Mikołaj Słabicki (3 shared papers)Ralf Kittler (3 shared papers)Ina Poser (4 shared papers)Anthony A. Hyman (3 shared papers)Maciej Paszkowski‐Rogacz (9 shared papers)Vineeth Surendranath (3 shared papers)Michael Famulok (2 shared papers)
- Journals
- Nature Methods (2 papers)Journal of Visualized Experiments (2 papers)PLoS ONE (2 papers)Blood (2 papers)SLAS DISCOVERY (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Mirko Theis
26 papers receiving 923 citations
Peers
Comparison fields: 5 of 81
- Aging 41
- Cell Biology 239
- Molecular Biology 807
- Cancer Research 162
- Biophysics 34
Countries citing papers authored by Mirko Theis
This map shows the geographic impact of Mirko Theis'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 Mirko Theis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirko Theis more than expected).
Fields of papers citing papers by Mirko Theis
This network shows the impact of papers produced by Mirko Theis. 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 Mirko Theis. The network helps show where Mirko Theis may publish in the future.
Co-authors
The 25 scholars most cited alongside Mirko Theis, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 233 | |
| 2 | 2014 | 123 | |
| 3 | 2009 | 76 | |
| 4 | 2005 | 61 | |
| 5 | 2004 | 53 | |
| 6 | 2006 | 52 | |
| 7 | 2012 | 49 | |
| 8 | 2015 | 48 | |
| 9 | 2017 | 46 | |
| 10 | 2016 | 31 | |
| 11 | 2011 | 21 | |
| 12 | 2020 | 19 | |
| 13 | 2015 | 15 | |
| 14 | 2018 | 15 | |
| 15 | 2012 | 15 | |
| 16 | Optimal Formulation of Complex Chemical Systems with a Genetic Algorithm | 2006 | 13 |
| 17 | 2010 | 13 | |
| 18 | 2021 | 12 | |
| 19 | 2015 | 11 | |
| 20 | 2010 | 11 |
About Mirko Theis
Mirko Theis is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Pathology and Forensic Medicine, having authored 26 papers that have together received 937 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), RNA Interference and Gene Delivery (9 papers), CRISPR and Genetic Engineering (8 papers), RNA Research and Splicing (4 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Microtubule and mitosis dynamics (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Aging (41 citations), Cell Biology (239 citations), Molecular Biology (807 citations), Cancer Research (162 citations) and Biophysics (34 citations). Mirko Theis has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Frank Buchholz, Mikołaj Słabicki, Ralf Kittler, Ina Poser, Anthony A. Hyman, Maciej Paszkowski‐Rogacz, Vineeth Surendranath, Michael Famulok, Anne‐Kristin Heninger and Bianca Habermann. Their work appears in journals such as Nature Methods, Journal of Visualized Experiments, PLoS ONE, Blood and SLAS DISCOVERY.
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.