Silke Sperling

6.1k total citations
58 papers, 1.7k citations indexed

About

Silke Sperling is a scholar working on Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Silke Sperling has authored 58 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 17 papers in Epidemiology and 16 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Silke Sperling's work include Congenital heart defects research (22 papers), Congenital Heart Disease Studies (16 papers) and RNA and protein synthesis mechanisms (8 papers). Silke Sperling is often cited by papers focused on Congenital heart defects research (22 papers), Congenital Heart Disease Studies (16 papers) and RNA and protein synthesis mechanisms (8 papers). Silke Sperling collaborates with scholars based in Germany, United States and United Kingdom. Silke Sperling's co-authors include Ilona Dunkel, Marcel Grunert, Hans Lehrach, Felix Berger, Jenny J. Fischer, Markus Schueler, Jenny Schlesinger, Siegrun Mebus, Martje Tönjes and Martin Lange and has published in prestigious journals such as Nucleic Acids Research, Circulation and Nature Communications.

In The Last Decade

Silke Sperling

50 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
Silke Sperling Germany 23 1.3k 415 363 240 234 58 1.7k
Vicky K. Yang United States 14 1.7k 1.3× 196 0.5× 425 1.2× 103 0.4× 136 0.6× 34 2.1k
Mohammad Pashmforoush United States 17 1.1k 0.8× 280 0.7× 417 1.1× 158 0.7× 107 0.5× 20 1.4k
David Staudt United States 7 1.3k 1.0× 142 0.3× 183 0.5× 68 0.3× 90 0.4× 10 1.5k
Gabriele Neu‐Yilik Germany 22 2.0k 1.5× 55 0.1× 147 0.4× 221 0.9× 145 0.6× 27 2.4k
Jacques‐Emmanuel Guidotti France 18 697 0.5× 217 0.5× 37 0.1× 302 1.3× 62 0.3× 34 1.4k
Dharmaraj Chinnappan United States 11 1.5k 1.2× 241 0.6× 113 0.3× 208 0.9× 28 0.1× 21 2.0k
Shelley Force Aldred United States 12 824 0.6× 205 0.5× 53 0.1× 205 0.9× 56 0.2× 24 1.4k
Gregg J. Johannes United States 17 1.0k 0.8× 91 0.2× 211 0.6× 76 0.3× 58 0.2× 20 1.3k
Siyeon Rhee United States 15 789 0.6× 104 0.3× 169 0.5× 33 0.1× 96 0.4× 27 1.1k

Countries citing papers authored by Silke Sperling

Since Specialization
Citations

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

Fields of papers citing papers by Silke Sperling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silke Sperling

This figure shows the co-authorship network connecting the top 25 collaborators of Silke Sperling. A scholar is included among the top collaborators of Silke Sperling 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 Silke Sperling. Silke Sperling 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.
Haas, Nikolaus, David J. Driscoll, & Silke Sperling. (2024). Clinical Presentation and Therapy of Cardiomyopathies. Advances in experimental medicine and biology. 1441. 965–976.
2.
Sperling, Silke, et al.. (2024). Clinical Presentation and Therapy of Coronary Artery Anomalies. Advances in experimental medicine and biology. 1441. 799–809.
3.
Nielsen, Tanja, Marcel Grunert, Andreas Perrot, et al.. (2020). Identification of MYOM2 as a candidate gene in hypertrophic cardiomyopathy and Tetralogy of Fallot, and its functional evaluation in the Drosophila heart. Disease Models & Mechanisms. 13(12). 22 indexed citations
4.
Grunert, Marcel, Sandra Appelt, Huanhuan Cui, et al.. (2020). Induced pluripotent stem cells of patients with Tetralogy of Fallot reveal transcriptional alterations in cardiomyocyte differentiation. Scientific Reports. 10(1). 10921–10921. 13 indexed citations
5.
Jehuda, Ronen Ben, Yuval Shemer, Lucy N. Mekies, et al.. (2017). CRISPR correction of the PRKAG2 gene mutation in the patient's induced pluripotent stem cell-derived cardiomyocytes eliminates electrophysiological and structural abnormalities. Heart Rhythm. 15(2). 267–276. 49 indexed citations
6.
Sperling, Silke, et al.. (2016). Congenital heart diseases: the broken heart : clinical features, human genetics and molecular pathways. Springer eBooks. 13 indexed citations
7.
Pérez‐Pomares, José M., José Luís de la Pompa, Diego Franco, et al.. (2016). Congenital coronary artery anomalies: a bridge from embryology to anatomy and pathophysiology—a position statement of the development, anatomy, and pathology ESC Working Group. Cardiovascular Research. 109(2). 204–216. 105 indexed citations
8.
Cui, Huanhuan, Jenny Schlesinger, Martje Tönjes, et al.. (2015). Phosphorylation of the chromatin remodeling factor DPF3a induces cardiac hypertrophy through releasing HEY repressors from DNA. Nucleic Acids Research. 44(6). 2538–2553. 32 indexed citations
9.
Grunert, Marcel, C. Dorn, Markus Schueler, et al.. (2014). Rare and private variations in neural crest, apoptosis and sarcomere genes define the polygenic background of isolated Tetralogy of Fallot. Human Molecular Genetics. 23(12). 3115–3128. 38 indexed citations
10.
Schueler, Markus, Qin Zhang, Jenny Schlesinger, Martje Tönjes, & Silke Sperling. (2011). Dynamics of Srf, p300 and histone modifications during cardiac maturation in mouse. Molecular BioSystems. 8(2). 495–503. 16 indexed citations
11.
Sperling, Silke. (2011). Systems biology approaches to heart development and congenital heart disease. Cardiovascular Research. 91(2). 269–278. 26 indexed citations
12.
Chung, Ho‐Ryun, Ilona Dunkel, Christian Linke, et al.. (2010). The Effect of Micrococcal Nuclease Digestion on Nucleosome Positioning Data. PLoS ONE. 5(12). e15754–e15754. 95 indexed citations
13.
Schueler, Markus, Stefanie Hammer, Utz Johann Pape, et al.. (2008). Prediction of cardiac transcription networks based on molecular data and complex clinical phenotypes. Molecular BioSystems. 4(6). 589–598. 15 indexed citations
14.
Hammer, Stefanie, Martin Lange, Jenny J. Fischer, et al.. (2008). Characterization of TBX20 in human hearts and its regulation by TFAP2. Journal of Cellular Biochemistry. 104(3). 1022–1033. 49 indexed citations
15.
Fischer, Jenny J., et al.. (2007). Combinatorial effects of four histone modifications in transcription and differentiation. Genomics. 91(1). 41–51. 37 indexed citations
16.
Toedling, Joern, Markus Schueler, Piero Carninci, et al.. (2007). Genomic organization of transcriptomes in mammals: Coregulation and cofunctionality. Genomics. 89(5). 580–587. 53 indexed citations
17.
Westhoff, Timm H., Stefanie Scheid, Markus Tölle, et al.. (2005). A physiogenomic approach to study the regulation of blood pressure. Physiological Genomics. 23(1). 46–53. 15 indexed citations
18.
Sperling, Silke. (2005). From single cells to whole organisms.. Genome Biology. 6(13). 365–365. 1 indexed citations
19.
Vogel, Jan, et al.. (2005). Chromosomal clustering of a human transcriptome reveals regulatory background. BMC Bioinformatics. 6(1). 230–230. 34 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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