Daniel Kaschek
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
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- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
Papers in ⓘ
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- Drug-Induced Hepatotoxicity and Protection 3
- Pharmacogenetics and Drug Metabolism 2
- Co-authors
- Jens Timmer (22 shared papers)Clemens Kreutz (6 shared papers)Andreas Raue (5 shared papers)Ursula Klingmüller (4 shared papers)Julie Bachmann (4 shared papers)Marcel Schilling (3 shared papers)Brian D. Harms (2 shared papers)Sabine Hug (2 shared papers)
- Journals
- PLoS ONE (5 papers)Scientific Reports (2 papers)BMC Systems Biology (2 papers)CPT Pharmacometrics & Systems Pharmacology (2 papers)Journal of Noncommutative Geometry (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniel Kaschek
25 papers receiving 795 citations
Peers
Comparison fields: 5 of 122
- Modeling and Simulation 54
- Molecular Biology 514
- Biophysics 33
- Computational Theory and Mathematics 72
- Statistics and Probability 35
Countries citing papers authored by Daniel Kaschek
This map shows the geographic impact of Daniel Kaschek'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 Daniel Kaschek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kaschek more than expected).
Fields of papers citing papers by Daniel Kaschek
This network shows the impact of papers produced by Daniel Kaschek. 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 Daniel Kaschek. The network helps show where Daniel Kaschek may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Kaschek, 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 | 2013 | 226 | |
| 2 | 2013 | 111 | |
| 3 | 2011 | 88 | |
| 4 | 2016 | 68 | |
| 5 | 2019 | 46 | |
| 6 | 2015 | 34 | |
| 7 | 2012 | 33 | |
| 8 | 2014 | 27 | |
| 9 | 2013 | 23 | |
| 10 | 2013 | 22 | |
| 11 | 2019 | 21 | |
| 12 | 2019 | 19 | |
| 13 | 2015 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2016 | 16 | |
| 16 | 2010 | 8 | |
| 17 | 2009 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2019 | 6 | |
| 20 | 2022 | 5 |
About Daniel Kaschek
Daniel Kaschek is a scholar working on Pharmacology, Biophysics, Molecular Biology, Algebra and Number Theory and Computational Theory and Mathematics, having authored 26 papers that have together received 811 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (10 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Protein Structure and Dynamics (4 papers), Computational Drug Discovery Methods (3 papers), Receptor Mechanisms and Signaling (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Modeling and Simulation (54 citations), Molecular Biology (514 citations), Biophysics (33 citations), Computational Theory and Mathematics (72 citations) and Statistics and Probability (35 citations). Daniel Kaschek has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Jens Timmer, Clemens Kreutz, Andreas Raue, Ursula Klingmüller, Julie Bachmann, Marcel Schilling, Brian D. Harms, Sabine Hug, Fabian J. Theis and Andrew Matteson. Their work appears in journals such as PLoS ONE, Scientific Reports, BMC Systems Biology, CPT Pharmacometrics & Systems Pharmacology and Journal of Noncommutative Geometry.
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.