Stefan Legewie

2.4k total citations
44 papers, 1.6k citations indexed

About

Stefan Legewie is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Stefan Legewie has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 7 papers in Cell Biology and 4 papers in Genetics. Recurrent topics in Stefan Legewie's work include Gene Regulatory Network Analysis (16 papers), RNA Research and Splicing (8 papers) and RNA and protein synthesis mechanisms (6 papers). Stefan Legewie is often cited by papers focused on Gene Regulatory Network Analysis (16 papers), RNA Research and Splicing (8 papers) and RNA and protein synthesis mechanisms (6 papers). Stefan Legewie collaborates with scholars based in Germany, United States and United Kingdom. Stefan Legewie's co-authors include Nils Blüthgen, Hanspeter Herzel, Hans V. Westerhoff, Boris Ν. Kholodenko, Roland Eils, Ilka M. Axmann, Frank J. Bruggeman, Nikolay Borisov, Thomas Maiwald and Anatoly Kiyatkin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Stefan Legewie

43 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Legewie Germany 23 1.3k 196 143 107 102 44 1.6k
Ariel Cohen Israel 14 1.5k 1.1× 174 0.9× 145 1.0× 168 1.6× 90 0.9× 15 1.8k
Natalie Perzov Israel 11 1.2k 0.9× 149 0.8× 102 0.7× 116 1.1× 49 0.5× 12 1.5k
Tamar Danon Israel 14 1.4k 1.1× 139 0.7× 186 1.3× 185 1.7× 82 0.8× 20 1.8k
Silvia Santos United Kingdom 15 793 0.6× 192 1.0× 317 2.2× 83 0.8× 52 0.5× 22 1.2k
Talia Yarnitzky Israel 9 797 0.6× 238 1.2× 183 1.3× 76 0.7× 36 0.4× 10 972
Teemu P. Miettinen United States 20 976 0.7× 275 1.4× 118 0.8× 92 0.9× 28 0.3× 27 1.6k
Mariko Hatakeyama Japan 17 1.0k 0.8× 77 0.4× 232 1.6× 139 1.3× 121 1.2× 42 1.3k
Dénes Türei Germany 17 1.5k 1.1× 143 0.7× 180 1.3× 101 0.9× 169 1.7× 25 2.1k
Maciej Dobrzyński Switzerland 14 649 0.5× 132 0.7× 62 0.4× 94 0.9× 40 0.4× 34 841
Noriko Yumoto Japan 14 855 0.6× 107 0.5× 215 1.5× 57 0.5× 112 1.1× 24 1.1k

Countries citing papers authored by Stefan Legewie

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Legewie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Legewie

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Legewie. A scholar is included among the top collaborators of Stefan Legewie 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 Stefan Legewie. Stefan Legewie 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.
Bernardini, Chiara, Zeynab Najafova, Steven A. Johnsen, et al.. (2025). CRISPR GENome and epigenome engineering improves loss-of-function genetic-screening approaches. Cell Reports Methods. 5(6). 101078–101078.
2.
Becker, Kolja, et al.. (2024). Transcriptional regulators ensuring specific gene expression and decision-making at high TGFβ doses. Life Science Alliance. 8(1). e202402859–e202402859. 3 indexed citations
3.
Legewie, Stefan, Michael Brunner, Thomas Höfer, et al.. (2024). Network switches and their role in circadian clocks. Journal of Biological Chemistry. 300(5). 107220–107220. 7 indexed citations
4.
Bohn, Stefan, et al.. (2023). State- and stimulus-specific dynamics of SMAD signaling determine fate decisions in individual cells. Proceedings of the National Academy of Sciences. 120(10). e2210891120–e2210891120. 6 indexed citations
5.
Enculescu, Monica, Simon M. G. Braun, Anke Busch, et al.. (2020). Exon Definition Facilitates Reliable Control of Alternative Splicing in the RON Proto-Oncogene. Biophysical Journal. 118(8). 2027–2041. 5 indexed citations
6.
Reid, George, et al.. (2018). Estrogen‐dependent control and cell‐to‐cell variability of transcriptional bursting. Molecular Systems Biology. 14(2). e7678–e7678. 58 indexed citations
7.
Sutandy, F.X. Reymond, Stefanie Ebersberger, Lu Huang, et al.. (2018). In vitro iCLIP-based modeling uncovers how the splicing factor U2AF2 relies on regulation by cofactors. Genome Research. 28(5). 699–713. 57 indexed citations
8.
Kallenberger, Stefan M., et al.. (2017). Correlated receptor transport processes buffer single-cell heterogeneity. PLoS Computational Biology. 13(9). e1005779–e1005779. 7 indexed citations
9.
Enculescu, Monica, Christoph Metzendorf, Richard Sparla, et al.. (2017). Modelling Systemic Iron Regulation during Dietary Iron Overload and Acute Inflammation: Role of Hepcidin-Independent Mechanisms. PLoS Computational Biology. 13(1). e1005322–e1005322. 36 indexed citations
10.
Schmiedel, Jörn M., Ilka M. Axmann, & Stefan Legewie. (2012). Multi-Target Regulation by Small RNAs Synchronizes Gene Expression Thresholds and May Enhance Ultrasensitive Behavior. PLoS ONE. 7(8). e42296–e42296. 13 indexed citations
11.
Paulsen, Malte, Stefan Legewie, Roland Eils, Emil Karaulanov, & Christof Niehrs. (2011). Negative feedback in the bone morphogenetic protein 4 (BMP4) synexpression group governs its dynamic signaling range and canalizes development. Proceedings of the National Academy of Sciences. 108(25). 10202–10207. 58 indexed citations
12.
Nazarenko, Irina, Marcel Jenny, Jana Keil, et al.. (2010). Atypical Protein Kinase C ζ Exhibits a Proapoptotic Function in Ovarian Cancer. Molecular Cancer Research. 8(6). 919–934. 26 indexed citations
13.
Borisov, Nikolay, Edita Aksamitiene, Anatoly Kiyatkin, et al.. (2009). Systems‐level interactions between insulin–EGF networks amplify mitogenic signaling. Molecular Systems Biology. 5(1). 256–256. 158 indexed citations
14.
Legewie, Stefan, et al.. (2008). A mesoscale model of G1/S phase transition in liver regeneration. Journal of Theoretical Biology. 252(3). 465–473. 9 indexed citations
15.
Blüthgen, Nils & Stefan Legewie. (2008). Systems analysis of MAPK signal transduction. Essays in Biochemistry. 45. 95–108. 16 indexed citations
16.
Legewie, Stefan, Christine Sers, & Hanspeter Herzel. (2008). Kinetic mechanisms for overexpression insensitivity and oncogene cooperation. FEBS Letters. 583(1). 93–96. 8 indexed citations
17.
Legewie, Stefan, Dennis Dienst, Annegret Wilde, Hanspeter Herzel, & Ilka M. Axmann. (2008). Small RNAs Establish Delays and Temporal Thresholds in Gene Expression. Biophysical Journal. 95(7). 3232–3238. 65 indexed citations
18.
Axmann, Ilka M., Stefan Legewie, & Hanspeter Herzel. (2007). A minimal circadian clock model.. PubMed. 18. 54–64. 10 indexed citations
19.
Blüthgen, Nils, Frank J. Bruggeman, Stefan Legewie, et al.. (2006). Effects of sequestration on signal transduction cascades. FEBS Journal. 273(5). 895–906. 126 indexed citations
20.
Legewie, Stefan, Nils Blüthgen, & Hanspeter Herzel. (2005). Quantitative analysis of ultrasensitive responses. FEBS Journal. 272(16). 4071–4079. 39 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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