Elmar Schilling

856 total citations
9 papers, 612 citations indexed

About

Elmar Schilling is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Elmar Schilling has authored 9 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Elmar Schilling's work include Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (4 papers) and RNA modifications and cancer (1 paper). Elmar Schilling is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (4 papers) and RNA modifications and cancer (1 paper). Elmar Schilling collaborates with scholars based in Germany, United States and Ireland. Elmar Schilling's co-authors include Michael Rehli, Claudia Gebhard, Reinhard Andreesen, Lucia Schwarzfischer, Maja Klug, Daniel C. Richter, Georg Gradl, Burkhard Rolf, Christopher Benner and Wolfgang Dietmaier and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Elmar Schilling

8 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elmar Schilling Germany 8 502 250 63 43 35 9 612
Dinko Pavlinić Germany 12 204 0.4× 68 0.3× 49 0.8× 45 1.0× 21 0.6× 21 379
R.M. Fourney Canada 9 385 0.8× 474 1.9× 76 1.2× 20 0.5× 10 0.3× 14 661
H. Xiao United States 12 364 0.7× 286 1.1× 31 0.5× 51 1.2× 15 0.4× 25 619
Ana S. Quina Portugal 8 168 0.3× 79 0.3× 51 0.8× 23 0.5× 18 0.5× 20 306
Mathew A. Sloane Australia 14 548 1.1× 232 0.9× 89 1.4× 134 3.1× 40 1.1× 21 841
Yasumitsu Nagao Japan 12 605 1.2× 234 0.9× 23 0.4× 14 0.3× 70 2.0× 22 750
U. Ricci Italy 15 332 0.7× 426 1.7× 69 1.1× 29 0.7× 19 0.5× 61 609
D. Jo Merriner Australia 20 359 0.7× 298 1.2× 15 0.2× 73 1.7× 38 1.1× 38 828
Sharon Lane Australia 12 232 0.5× 113 0.5× 38 0.6× 22 0.5× 37 1.1× 17 451
Andrew Holyoake New Zealand 13 306 0.6× 103 0.4× 128 2.0× 18 0.4× 14 0.4× 17 595

Countries citing papers authored by Elmar Schilling

Since Specialization
Citations

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

Fields of papers citing papers by Elmar Schilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elmar Schilling

This figure shows the co-authorship network connecting the top 25 collaborators of Elmar Schilling. A scholar is included among the top collaborators of Elmar 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 Elmar Schilling. Elmar Schilling 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.
Levin, Matthew D., Robert B. Bourret, Ruth E. Silversmith, & Elmar Schilling. (2021). Kinetic Characterization of Catalysis by the Chemotaxis Phosphatase CheZ: MODULATION OF ACTIVITY BY THE PHOSPHORYLATED CheY SUBSTRATE. UNC Libraries.
2.
Jones, Julia C., Richard Bernstein, Andreas Hoppe, et al.. (2020). Tool for genomic selection and breeding to evolutionary adaptation: Development of a 100K single nucleotide polymorphism array for the honey bee. Ecology and Evolution. 10(13). 6246–6256. 26 indexed citations
3.
Lange, Anja, Steffen Jost, Dominik Heider, et al.. (2015). AmpliconDuo: A Split-Sample Filtering Protocol for High-Throughput Amplicon Sequencing of Microbial Communities. PLoS ONE. 10(11). e0141590–e0141590. 38 indexed citations
4.
Schilling, Elmar, et al.. (2013). Finding the needle in the haystack: Differentiating “identical” twins in paternity testing and forensics by ultra-deep next generation sequencing. Forensic Science International Genetics. 9. 42–46. 99 indexed citations
5.
Gebhard, Claudia, Christopher Benner, Mathias Ehrich, et al.. (2010). General Transcription Factor Binding at CpG Islands in Normal Cells Correlates with Resistance to De novo DNA Methylation in Cancer Cells. Cancer Research. 70(4). 1398–1407. 96 indexed citations
6.
Schilling, Elmar, et al.. (2009). Allele-specific DNA methylation in mouse strains is mainly determined by cis-acting sequences. Genome Research. 19(11). 2028–2035. 81 indexed citations
7.
Schilling, Elmar & Michael Rehli. (2007). Global, comparative analysis of tissue-specific promoter CpG methylation. Genomics. 90(3). 314–323. 109 indexed citations
8.
Silversmith, Ruth E., Matthew D. Levin, Elmar Schilling, & Robert B. Bourret. (2007). Kinetic Characterization of Catalysis by the Chemotaxis Phosphatase CheZ. Journal of Biological Chemistry. 283(2). 756–765. 32 indexed citations
9.
Gebhard, Claudia, Lucia Schwarzfischer, Elmar Schilling, et al.. (2006). Genome-Wide Profiling of CpG Methylation Identifies Novel Targets of Aberrant Hypermethylation in Myeloid Leukemia. Cancer Research. 66(12). 6118–6128. 131 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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2026