Günter Reuter

10.6k total citations · 1 hit paper
66 papers, 7.5k citations indexed

About

Günter Reuter is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Günter Reuter has authored 66 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 36 papers in Plant Science and 14 papers in Genetics. Recurrent topics in Günter Reuter's work include Genomics and Chromatin Dynamics (32 papers), Chromosomal and Genetic Variations (24 papers) and Epigenetics and DNA Methylation (22 papers). Günter Reuter is often cited by papers focused on Genomics and Chromatin Dynamics (32 papers), Chromosomal and Genetic Variations (24 papers) and Epigenetics and DNA Methylation (22 papers). Günter Reuter collaborates with scholars based in Germany, United States and South Korea. Günter Reuter's co-authors include Rainer Dorn, Gunnar Schotta, Thomas Jenuwein, Anja Ebert, Veiko Krauß, Sarah C. R. Elgin, Monika Lachner, Danny Reinberg, Roopsha Sengupta and Kavitha Sarma and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Günter Reuter

66 papers receiving 7.4k citations

Hit Papers

A silencing pathway to induce H3-K9 and H4-K20 trimethyla... 2004 2026 2011 2018 2004 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
Günter Reuter Germany 40 6.6k 2.5k 1.1k 389 288 66 7.5k
Gunnar Schotta Germany 39 5.6k 0.9× 1.1k 0.5× 829 0.8× 361 0.9× 400 1.4× 77 6.3k
Welcome Bender United States 39 5.4k 0.8× 1.7k 0.7× 1.3k 1.2× 531 1.4× 256 0.9× 56 7.3k
Scott E. Devine United States 28 4.0k 0.6× 1.9k 0.8× 1.4k 1.3× 171 0.4× 314 1.1× 36 5.3k
Monika Lachner Austria 14 6.8k 1.0× 1.2k 0.5× 1.0k 0.9× 252 0.6× 411 1.4× 16 7.3k
Kent G. Golic United States 27 4.6k 0.7× 1.2k 0.5× 1.1k 1.0× 186 0.5× 286 1.0× 49 5.4k
Andrew Bassett United Kingdom 35 3.6k 0.5× 1.1k 0.5× 733 0.7× 290 0.7× 561 1.9× 64 5.0k
Pavel Georgiev Russia 41 4.2k 0.6× 2.1k 0.8× 620 0.6× 240 0.6× 123 0.4× 275 4.7k
François Karch Switzerland 39 5.3k 0.8× 1.7k 0.7× 1.3k 1.2× 95 0.2× 230 0.8× 65 6.2k
Jessica K. Tyler United States 43 6.7k 1.0× 901 0.4× 557 0.5× 510 1.3× 405 1.4× 101 7.7k
Brian Oliver United States 33 2.7k 0.4× 915 0.4× 2.1k 2.0× 185 0.5× 205 0.7× 84 4.5k

Countries citing papers authored by Günter Reuter

Since Specialization
Citations

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

Fields of papers citing papers by Günter Reuter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Günter Reuter

This figure shows the co-authorship network connecting the top 25 collaborators of Günter Reuter. A scholar is included among the top collaborators of Günter Reuter 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 Günter Reuter. Günter Reuter 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.
Fischer, Andreas, et al.. (2015). Alterations of histone modifications at the senescence-associated gene HvS40 in barley during senescence. Plant Molecular Biology. 89(1-2). 127–141. 11 indexed citations
2.
Öst, Anita, Adelheid Lempradl, Eduard Casas, et al.. (2014). Paternal Diet Defines Offspring Chromatin State and Intergenerational Obesity. Cell. 159(6). 1352–1364. 283 indexed citations
3.
Rudolph, Thomas, et al.. (2013). Lysine-specific histone demethylase LSD1 and the dynamic control of chromatin. Biological Chemistry. 394(8). 1019–1028. 37 indexed citations
4.
Krauß, Veiko & Günter Reuter. (2011). DNA Methylation in Drosophila—A Critical Evaluation. Progress in molecular biology and translational science. 101. 177–191. 43 indexed citations
5.
Rahman, Mohummad Aminur, Kyoko L. Yap, Andreas Fischer, et al.. (2011). The SUVR4 Histone Lysine Methyltransferase Binds Ubiquitin and Converts H3K9me1 to H3K9me3 on Transposon Chromatin in Arabidopsis. PLoS Genetics. 7(3). e1001325–e1001325. 46 indexed citations
6.
Phalke, Sameer, et al.. (2009). Retrotransposon silencing and telomere integrity in somatic cells of Drosophila depends on the cytosine-5 methyltransferase DNMT2. Nature Genetics. 41(6). 696–702. 146 indexed citations
7.
Jurkowski, Tomasz P., Madeleine Meusburger, Sameer Phalke, et al.. (2008). Human DNMT2 methylates tRNAAsp molecules using a DNA methyltransferase-like catalytic mechanism. RNA. 14(8). 1663–1670. 141 indexed citations
8.
Thorstensen, Tage, et al.. (2006). The Arabidopsis SUVR4 protein is a nucleolar histone methyltransferase with preference for monomethylated H3K9. Nucleic Acids Research. 34(19). 5461–5470. 51 indexed citations
9.
Fischer, Andreas, et al.. (2005). Heterochromatin proteins and the control of heterochromatic gene silencing in Arabidopsis. Journal of Plant Physiology. 163(3). 358–368. 60 indexed citations
10.
Ebert, Anja, Gunnar Schotta, Sandro Lein, et al.. (2004). Su(var) genes regulate the balance between euchromatin and heterochromatin in Drosophila. Genes & Development. 18(23). 2973–2983. 218 indexed citations
11.
Schotta, Gunnar, Anja Ebert, Rainer Dorn, & Günter Reuter. (2003). Position-effect variegation and the genetic dissection of chromatin regulation in Drosophila. Seminars in Cell and Developmental Biology. 14(1). 67–75. 158 indexed citations
12.
Schotta, Gunnar, Anja Ebert, & Günter Reuter. (2003). SU(VAR)3-9 is a Conserved Key Function in Heterochromatic Gene Silencing. Genetica. 117(2-3). 149–158. 78 indexed citations
13.
Dorn, Rainer, Günter Reuter, & Andrea Loewendorf. (2001). Transgene analysis proves mRNA trans-splicing at the complex mod(mdg4) locus in Drosophila. Proceedings of the National Academy of Sciences. 98(17). 9724–9729. 89 indexed citations
14.
Kadosh, David, et al.. (1996). The histone deacetylase RPD3 counteracts genomic silencing in Drosophila and yeast. Nature. 384(6609). 589–591. 191 indexed citations
15.
Farkas, Gabriella, et al.. (1994). The Trithorax-like gene encodes the Drosophila GAGA factor. Nature. 371(6500). 806–808. 352 indexed citations
17.
Taubert, Hans, et al.. (1989). The genetics of position — effect variegation modifying loci inDrosophila melanogaster. Molecular and General Genetics MGG. 217(2-3). 520–7. 156 indexed citations
18.
Szabad, János, et al.. (1988). The effects of two mutations connected with chromatin functions on female germ-line cells of Drosophila. Molecular and General Genetics MGG. 211(1). 56–62. 18 indexed citations
19.
Reuter, Günter, János Gausz, Henrik Gyurkovics, et al.. (1987). Modifiers of position-effect variegation in the region from 86C to 88B of the Drosophila melanogaster third chromosome. Molecular and General Genetics MGG. 210(3). 429–436. 45 indexed citations
20.
Reuter, Günter, Rainer Dorn, & Hans Jürgen Hoffmann. (1982). Butyrate sensitive suppressor of position-effect variegation mutations in drosophila melanogaster. Molecular and General Genetics MGG. 188(3). 480–485. 37 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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