Marcel Schilling

3.4k total citations · 1 hit paper
31 papers, 2.2k citations indexed

About

Marcel Schilling is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Marcel Schilling has authored 31 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Oncology and 5 papers in Immunology. Recurrent topics in Marcel Schilling's work include Gene Regulatory Network Analysis (12 papers), Bioinformatics and Genomic Networks (7 papers) and Cytokine Signaling Pathways and Interactions (7 papers). Marcel Schilling is often cited by papers focused on Gene Regulatory Network Analysis (12 papers), Bioinformatics and Genomic Networks (7 papers) and Cytokine Signaling Pathways and Interactions (7 papers). Marcel Schilling collaborates with scholars based in Germany, United States and Sweden. Marcel Schilling's co-authors include Ursula Klingmüller, Jens Timmer, Andreas Raue, Clemens Kreutz, Tim Maiwald, Jasmin Bachmann, Julie Bachmann, Fabian J. Theis, C Wirbelauer and Daniel Heß and has published in prestigious journals such as Science, Molecular Cell and Bioinformatics.

In The Last Decade

Marcel Schilling

30 papers receiving 2.2k citations

Hit Papers

Structural and practical identifiability analysis of part... 2009 2026 2014 2020 2009 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcel Schilling Germany 17 1.4k 225 179 176 164 31 2.2k
Jan Hasenauer Germany 31 1.7k 1.3× 177 0.8× 231 1.3× 124 0.7× 215 1.3× 144 2.7k
Tim Maiwald Germany 12 954 0.7× 111 0.5× 131 0.7× 122 0.7× 140 0.9× 14 1.9k
Andreas Raue Germany 23 1.8k 1.3× 338 1.5× 248 1.4× 311 1.8× 230 1.4× 44 3.0k
Clemens Kreutz Germany 32 2.1k 1.6× 277 1.2× 221 1.2× 287 1.6× 376 2.3× 84 3.8k
Marzio Pennisi Italy 24 613 0.5× 134 0.6× 240 1.3× 258 1.5× 56 0.3× 77 1.3k
Jasmin Bachmann Germany 4 467 0.3× 51 0.2× 123 0.7× 53 0.3× 89 0.5× 6 1.0k
Jasmine Foo United States 23 507 0.4× 331 1.5× 348 1.9× 49 0.3× 196 1.2× 50 1.7k
Ranadip Pal United States 25 1.5k 1.1× 71 0.3× 37 0.2× 46 0.3× 267 1.6× 98 2.2k
Eric Bullinger Germany 16 624 0.5× 95 0.4× 45 0.3× 86 0.5× 59 0.4× 66 1.1k
Christoph Wierling Germany 17 2.0k 1.4× 170 0.8× 44 0.2× 114 0.6× 318 1.9× 40 2.6k

Countries citing papers authored by Marcel Schilling

Since Specialization
Citations

This map shows the geographic impact of Marcel Schilling'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 Marcel Schilling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Schilling more than expected).

Fields of papers citing papers by Marcel Schilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcel Schilling. 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 Marcel Schilling. The network helps show where Marcel Schilling may publish in the future.

Co-authorship network of co-authors of Marcel Schilling

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel Schilling. A scholar is included among the top collaborators of Marcel Schilling 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 Marcel Schilling. Marcel Schilling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Neumann, Oliver, Marcel Schilling, Markus Reischl, & Ralf Mikut. (2022). EasyMLServe: Easy Deployment of REST Machine Learning Services. 11–30.
2.
Chakraborty, Sajib, Geoffroy Andrieux, Lorenz Adlung, et al.. (2022). Erythropoietin-driven dynamic proteome adaptations during erythropoiesis prevent iron overload in the developing embryo. Cell Reports. 40(12). 111360–111360. 5 indexed citations
3.
Maiwald, Tim, Marcel Schilling, Annette Schneider, et al.. (2020). Identification of Interleukin1β as an Amplifier of Interferon alpha-induced Antiviral Responses. PLoS Pathogens. 16(10). e1008461–e1008461. 6 indexed citations
4.
Rosenblatt, Marcus, Vladimir Gonçalves Magalhães, Christopher Dächert, et al.. (2020). Disentangling molecular mechanisms regulating sensitization of interferon alpha signal transduction. Molecular Systems Biology. 16(7). e8955–e8955. 34 indexed citations
5.
Schneider, Marc A., Marcus Rosenblatt, Thomas Muley, et al.. (2018). Expression ratio of the TGFβ-inducible gene MYO10 is prognostic for overall survival of squamous cell lung cancer patients and predicts chemotherapy response. Scientific Reports. 8(1). 9517–9517. 11 indexed citations
6.
Adlung, Lorenz, Sandip Kar, Marie‐Christine Wagner, et al.. (2017). Protein abundance of AKT and ERK pathway components governs cell type‐specific regulation of proliferation. Molecular Systems Biology. 13(1). 904–904. 55 indexed citations
7.
Steiert, Bernhard, Sofia Depner, Andreas Raue, et al.. (2016). Identification of Cell Type-Specific Differences in Erythropoietin Receptor Signaling in Primary Erythroid and Lung Cancer Cells. PLoS Computational Biology. 12(8). e1005049–e1005049. 30 indexed citations
8.
Mueller, Stephanie K., Xiaoyun Huang, Lorenza A. D’Alessandro, et al.. (2015). T160‐phosphorylated CDK 2 defines threshold for HGF ‐dependent proliferation in primary hepatocytes. Molecular Systems Biology. 11(3). 795–795. 15 indexed citations
9.
D’Alessandro, Lorenza A., Regina Samaga, Tim Maiwald, et al.. (2015). Disentangling the Complexity of HGF Signaling by Combining Qualitative and Quantitative Modeling. PLoS Computational Biology. 11(4). e1004192–e1004192. 14 indexed citations
10.
Boehm, Martin E., Lorenz Adlung, Marcel Schilling, et al.. (2014). Identification of Isoform-Specific Dynamics in Phosphorylation-Dependent STAT5 Dimerization by Quantitative Mass Spectrometry and Mathematical Modeling. Journal of Proteome Research. 13(12). 5685–5694. 23 indexed citations
11.
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
12.
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
13.
Schneider, Annette, Ursula Klingmüller, & Marcel Schilling. (2012). Short‐term information processing, long‐term responses: Insights by mathematical modeling of signal transduction. BioEssays. 34(7). 542–550. 10 indexed citations
14.
Maiwald, Thomas, Andreas Raue, Marcel Schilling, et al.. (2012). In silico labeling reveals the time-dependent label half-life and transit-time in dynamical systems. BMC Systems Biology. 6(1). 13–13. 7 indexed citations
15.
Schilling, Marcel, Martin Böhm, Andreas Kowarsch, et al.. (2010). Dynamic Mathematical Modeling of IL13-Induced Signaling in Hodgkin and Primary Mediastinal B-Cell Lymphoma Allows Prediction of Therapeutic Targets. Cancer Research. 71(3). 693–704. 58 indexed citations
16.
Becker, Verena, Marcel Schilling, Julie Bachmann, et al.. (2010). Covering a Broad Dynamic Range: Information Processing at the Erythropoietin Receptor. Science. 328(5984). 1404–1408. 116 indexed citations
17.
Schilling, Marcel, Andréa Pfeifer, Sebastian Böhl, & Ursula Klingmüller. (2008). Standardizing experimental protocols. Current Opinion in Biotechnology. 19(4). 354–359. 16 indexed citations
18.
Schilling, Marcel, Thomas Maiwald, Sebastian Böhl, et al.. (2005). Computational processing and error reduction strategies for standardized quantitative data in biological networks. FEBS Journal. 272(24). 6400–6411. 60 indexed citations
19.
Schilling, Marcel, Tim Maiwald, Sebastian Böhl, et al.. (2005). Quantitative data generation for systems biology: the impact of randomisation, calibrators and normalisers. PubMed. 152(4). 193–193. 30 indexed citations
20.
Tran, Hoanh, Marcel Schilling, C Wirbelauer, Daniel Heß, & Yoshikuni Nagamine. (2004). Facilitation of mRNA Deadenylation and Decay by the Exosome-Bound, DExH Protein RHAU. Molecular Cell. 13(1). 101–111. 152 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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