Daniel Kaschek

1.3k total citations
26 papers, 811 citations indexed

About

Daniel Kaschek is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Daniel Kaschek has authored 26 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Pharmacology. Recurrent topics in Daniel Kaschek's work include Gene Regulatory Network Analysis (10 papers), Protein Structure and Dynamics (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Daniel Kaschek is often cited by papers focused on Gene Regulatory Network Analysis (10 papers), Protein Structure and Dynamics (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Daniel Kaschek collaborates with scholars based in Germany, United States and United Kingdom. Daniel Kaschek's co-authors include Jens Timmer, Clemens Kreutz, Andreas Raue, Ursula Klingmüller, Julie Bachmann, Marcel Schilling, Sabine Hug, Andrew Matteson, Fabian J. Theis and Brian D. Harms and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Daniel Kaschek

25 papers receiving 795 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Kaschek Germany	15	514	88	72	66	61	26	811
Julie Bachmann Germany	10	491 1.0×	78 0.9×	48 0.7×	58 0.9×	93 1.5×	11	717
Michał Komorowski Poland	15	538 1.0×	44 0.5×	65 0.9×	70 1.1×	126 2.1×	25	762
Verena Becker Germany	12	474 0.9×	189 2.1×	63 0.9×	79 1.2×	34 0.6×	20	789
Claus Bendtsen United Kingdom	17	219 0.4×	143 1.6×	117 1.6×	105 1.6×	69 1.1×	47	989
Fabian Fröhlich Germany	17	543 1.1×	32 0.4×	97 1.3×	15 0.2×	60 1.0×	28	769
Tongli Zhang United States	16	692 1.3×	236 2.7×	77 1.1×	59 0.9×	54 0.9×	43	1.0k
Hirofumi Osada Japan	16	251 0.5×	110 1.3×	85 1.2×	40 0.6×	36 0.6×	61	943
Eric Bullinger Germany	16	624 1.2×	95 1.1×	131 1.8×	86 1.3×	59 1.0×	66	1.1k
Joke Blom Netherlands	14	536 1.0×	16 0.2×	69 1.0×	61 0.9×	123 2.0×	49	977
Joshua F. Apgar United States	11	257 0.5×	73 0.8×	71 1.0×	48 0.7×	36 0.6×	31	598

Countries citing papers authored by Daniel Kaschek

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Kaschek

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kaschek. A scholar is included among the top collaborators of Daniel Kaschek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Kaschek. Daniel Kaschek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Johnson, Martin, et al.. (2024). Population Pharmacokinetic Modeling of Adavosertib (AZD1775) in Patients with Solid Tumors. The Journal of Clinical Pharmacology. 64(11). 1419–1431. 2 indexed citations

Kaschek, Daniel, Anne Kümmel, Adam J. Potter, et al.. (2024). Characterizing the pharmacological interaction of the antimalarial combination artefenomel-piperaquine in healthy volunteers with induced blood-stage Plasmodium falciparum to predict efficacy in patients with malaria. BMC Medicine. 22(1). 563–563.

Rosenblatt, Marcus, et al.. (2022). BlotIt—Optimal alignment of Western blot and qPCR experiments. PLoS ONE. 17(8). e0264295–e0264295. 5 indexed citations

Hiemstra, Steven, M. Fehling–Kaschek, Marcus Rosenblatt, et al.. (2022). Dynamic modeling of Nrf2 pathway activation in liver cells after toxicant exposure. Scientific Reports. 12(1). 7336–7336. 17 indexed citations

Kaschek, Daniel, Wolfgang Mader, M. Fehling–Kaschek, Marcus Rosenblatt, & Jens Timmer. (2019). Dynamic Modeling, Parameter Estimation, and Uncertainty Analysis in R. Journal of Statistical Software. 88(10). 19 indexed citations

Fehling–Kaschek, M., Diana B. Peckys, Daniel Kaschek, Jens Timmer, & Niels de Jonge. (2019). Mathematical modeling of drug-induced receptor internalization in the HER2-positive SKBR3 breast cancer cell-line. Scientific Reports. 9(1). 12709–12709. 21 indexed citations

Timmer, Jens, et al.. (2019). Local Riemannian geometry of model manifolds and its implications for practical parameter identifiability. PLoS ONE. 14(6). e0217837–e0217837. 6 indexed citations

Kaschek, Daniel, Ahmad Sharanek, André Guillouzo, Jens Timmer, & Richard Weaver. (2017). A Dynamic Mathematical Model of Bile Acid Clearance in HepaRG Cells. Toxicological Sciences. 161(1). 48–57. 6 indexed citations

Rosenblatt, Marcus, Jens Timmer, & Daniel Kaschek. (2016). Customized Steady-State Constraints for Parameter Estimation in Non-Linear Ordinary Differential Equation Models. Frontiers in Cell and Developmental Biology. 4. 41–41. 16 indexed citations

10.

Maiwald, Tim, Helge Hass, Bernhard Steiert, et al.. (2016). Driving the Model to Its Limit: Profile Likelihood Based Model Reduction. PLoS ONE. 11(9). e0162366–e0162366. 68 indexed citations

11.

Kaschek, Daniel, Ahmad Sharanek, A. Guillouzo, Jens Timmer, & Richard Weaver. (2016). A dynamic mathematical model of bile acid clearance in HepaRG cells. Toxicology Letters. 258. S115–S115. 1 indexed citations

12.

Timmer, Jens, et al.. (2015). Higher-order Lie symmetries in identifiability and predictability analysis of dynamic models. Physical Review E. 92(1). 12920–12920. 34 indexed citations

13.

Hass, Helge, Clemens Kreutz, Jens Timmer, & Daniel Kaschek. (2015). Fast integration-based prediction bands for ordinary differential equation models. Bioinformatics. 32(8). 1204–1210. 18 indexed citations

14.

Raue, Andreas, Marcel Schilling, Julie Bachmann, et al.. (2013). Correction: Lessons Learned from Quantitative Dynamical Modeling in Systems Biology. PLoS ONE. 8(12). 22 indexed citations

15.

Raue, Andreas, Marcel Schilling, Julie Bachmann, et al.. (2013). Lessons Learned from Quantitative Dynamical Modeling in Systems Biology. PLoS ONE. 8(9). e74335–e74335. 226 indexed citations

16.

Fiala, Gina J., Daniel Kaschek, Britta Blumenthal, et al.. (2013). Pre-Clustering of the B Cell Antigen Receptor Demonstrated by Mathematically Extended Electron Microscopy. Frontiers in Immunology. 4. 427–427. 23 indexed citations

17.

Meyer, René, Lorenza A. D’Alessandro, Sandip Kar, et al.. (2012). Heterogeneous kinetics of AKT signaling in individual cells are accounted for by variable protein concentration. Frontiers in Physiology. 3. 451–451. 33 indexed citations

18.

Kaschek, Daniel & Jens Timmer. (2012). A variational approach to parameter estimation in ordinary differential equations. BMC Systems Biology. 6(1). 99–99. 3 indexed citations

19.

Pfeifer, Andréa, Daniel Kaschek, Julie Bachmann, Ursula Klingmüller, & Jens Timmer. (2010). Model-based extension of high-throughput to high-content data. BMC Systems Biology. 4(1). 106–106. 8 indexed citations

20.

Kaschek, Daniel, Nikolai Neumaier, & Stefan Waldmann. (2009). Complete positivity of Rieffel’s deformation quantization by actions of $\mathbb{R}^d$. Journal of Noncommutative Geometry. 3(3). 361–375. 7 indexed citations

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.

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