Tilman Schnick

961 total citations
9 papers, 670 citations indexed

About

Tilman Schnick is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Tilman Schnick has authored 9 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Surgery. Recurrent topics in Tilman Schnick's work include Epigenetics and DNA Methylation (3 papers), Cancer-related gene regulation (3 papers) and Congenital heart defects research (3 papers). Tilman Schnick is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Cancer-related gene regulation (3 papers) and Congenital heart defects research (3 papers). Tilman Schnick collaborates with scholars based in Germany, United States and Austria. Tilman Schnick's co-authors include Lutz Hein, Ralf Gilsbach, Sebastian Preißl, Bernd K. Fleischmann, Rolf Backofen, Björn Grüning, Stefan Günther, Andreas Würch, Dirk Schübeler and Ulrike Bönisch and has published in prestigious journals such as Nature Communications, PLoS ONE and Circulation Research.

In The Last Decade

Tilman Schnick

8 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tilman Schnick Germany 8 476 169 163 86 84 9 670
Yongnan Fu China 10 260 0.5× 77 0.5× 213 1.3× 56 0.7× 17 0.2× 16 484
Ellen Dirkx Netherlands 15 632 1.3× 209 1.2× 322 2.0× 125 1.5× 10 0.1× 19 927
Ileana Badi Italy 11 383 0.8× 78 0.5× 135 0.8× 118 1.4× 35 0.4× 19 690
Fareheh Firouzi United States 7 231 0.5× 131 0.8× 130 0.8× 61 0.7× 16 0.2× 10 403
Marco Hagenmueller Germany 10 297 0.6× 67 0.4× 181 1.1× 28 0.3× 11 0.1× 16 493
Marina Koroleva United States 12 301 0.6× 23 0.1× 54 0.3× 83 1.0× 77 0.9× 15 560
Daniel J. Luther United States 10 184 0.4× 79 0.5× 199 1.2× 57 0.7× 24 0.3× 14 464
Sally Yu Shi Canada 13 235 0.5× 82 0.5× 45 0.3× 159 1.8× 15 0.2× 21 536
Lei Jiao China 13 443 0.9× 73 0.4× 118 0.7× 36 0.4× 13 0.2× 33 647

Countries citing papers authored by Tilman Schnick

Since Specialization
Citations

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

Fields of papers citing papers by Tilman Schnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tilman Schnick

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

All Works

9 of 9 papers shown
1.
Roth, Richard B., Tilman Schnick, Christoph Koentges, et al.. (2025). Transcriptional signature of cardiac myocyte recovery in mice and human reveals persistent upregulation of epigenetic factors. Epigenetics. 20(1). 2506625–2506625.
2.
Lother, Achim, Martin Schwaderer, Ralf Gilsbach, et al.. (2018). The Transcription Factor ETV1 Induces Atrial Remodeling and Arrhythmia. Circulation Research. 123(5). 550–563. 29 indexed citations
3.
Beetz, Nadine, Tilman Schnick, Achim Lother, et al.. (2016). Ablation of biglycan attenuates cardiac hypertrophy and fibrosis after left ventricular pressure overload. Journal of Molecular and Cellular Cardiology. 101. 145–155. 44 indexed citations
4.
Koentges, Christoph, Alexandra König, Katharina Pfeil, et al.. (2015). Myocardial mitochondrial dysfunction in mice lacking adiponectin receptor 1. Basic Research in Cardiology. 110(4). 37–37. 26 indexed citations
5.
Nührenberg, Thomas, Tilman Schnick, Sebastian Preißl, et al.. (2015). Cardiac Myocyte De Novo DNA Methyltransferases 3a/3b Are Dispensable for Cardiac Function and Remodeling after Chronic Pressure Overload in Mice. PLoS ONE. 10(6). e0131019–e0131019. 39 indexed citations
6.
Koentges, Christoph, Katharina Pfeil, Tilman Schnick, et al.. (2015). SIRT3 deficiency impairs mitochondrial and contractile function in the heart. Basic Research in Cardiology. 110(4). 36–36. 150 indexed citations
7.
Nührenberg, Thomas, Ralf Gilsbach, Sebastian Preißl, Tilman Schnick, & Lutz Hein. (2014). Epigenetics in cardiac development, function, and disease. Cell and Tissue Research. 356(3). 585–600. 31 indexed citations
8.
Gilsbach, Ralf, Sebastian Preißl, Björn Grüning, et al.. (2014). Dynamic DNA methylation orchestrates cardiomyocyte development, maturation and disease. Nature Communications. 5(1). 5288–5288. 233 indexed citations
9.
Mauritz, Christina, Andreas Martens, Sebastián V. Rojas, et al.. (2011). Induced pluripotent stem cell (iPSC)-derived Flk-1 progenitor cells engraft, differentiate, and improve heart function in a mouse model of acute myocardial infarction. European Heart Journal. 32(21). 2634–2641. 118 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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