Albert Jeltsch

21.6k total citations · 4 hit papers
295 papers, 15.6k citations indexed

About

Albert Jeltsch is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Albert Jeltsch has authored 295 papers receiving a total of 15.6k indexed citations (citations by other indexed papers that have themselves been cited), including 289 papers in Molecular Biology, 54 papers in Genetics and 17 papers in Ecology. Recurrent topics in Albert Jeltsch's work include Epigenetics and DNA Methylation (221 papers), Cancer-related gene regulation (128 papers) and RNA modifications and cancer (114 papers). Albert Jeltsch is often cited by papers focused on Epigenetics and DNA Methylation (221 papers), Cancer-related gene regulation (128 papers) and RNA modifications and cancer (114 papers). Albert Jeltsch collaborates with scholars based in Germany, United States and France. Albert Jeltsch's co-authors include Renata Z. Jurkowska, Humaira Gowher, Andrea Hermann, Tomasz P. Jurkowski, Alfred Pingoud, Philipp Rathert, Xiaodong Cheng, Richard Reinhardt, Srikanth Kudithipudi and Arunkumar Dhayalan and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Albert Jeltsch

288 papers receiving 15.4k citations

Hit Papers

Cyclical DNA methylation of a transcriptionally active pr... 2002 2026 2010 2018 2008 2007 2002 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Albert Jeltsch Germany 67 14.3k 3.3k 925 790 658 295 15.6k
Xiaodong Cheng United States 77 19.1k 1.3× 3.2k 1.0× 939 1.0× 1.3k 1.7× 686 1.0× 302 22.1k
Robert Schneider Germany 53 12.7k 0.9× 2.1k 0.6× 931 1.0× 1.2k 1.5× 358 0.5× 91 14.5k
Melanie Ehrlich United States 52 10.3k 0.7× 2.4k 0.7× 1.6k 1.7× 891 1.1× 605 0.9× 176 12.2k
Frank Lyko Germany 67 13.3k 0.9× 2.4k 0.7× 2.7k 2.9× 904 1.1× 740 1.1× 161 16.4k
Stephen F. Kingsmore United States 54 9.2k 0.6× 3.3k 1.0× 1.6k 1.7× 537 0.7× 892 1.4× 193 14.9k
Marta Gut Spain 62 8.0k 0.6× 3.4k 1.0× 1.5k 1.6× 1.1k 1.4× 703 1.1× 233 14.5k
Sriharsa Pradhan United States 50 9.7k 0.7× 1.9k 0.6× 978 1.1× 2.4k 3.1× 480 0.7× 112 11.8k
Pui–Yan Kwok United States 56 5.6k 0.4× 3.0k 0.9× 795 0.9× 891 1.1× 447 0.7× 237 11.9k
Manuel Buchwald Canada 54 7.3k 0.5× 2.3k 0.7× 1.6k 1.7× 903 1.1× 564 0.9× 141 13.8k
Aharon Razin Israel 53 10.4k 0.7× 4.2k 1.3× 506 0.5× 1.4k 1.7× 1.5k 2.2× 117 12.4k

Countries citing papers authored by Albert Jeltsch

Since Specialization
Citations

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

Fields of papers citing papers by Albert Jeltsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Albert Jeltsch

This figure shows the co-authorship network connecting the top 25 collaborators of Albert Jeltsch. A scholar is included among the top collaborators of Albert Jeltsch 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 Albert Jeltsch. Albert Jeltsch 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.
Mayran, Alexandre, Samir Merabet, Michael Dukatz, et al.. (2025). Dual DNA demethylation mechanisms implement epigenetic memory driven by the pioneer factor PAX7. Science Advances. 11(20). eadu6632–eadu6632.
2.
Meyer, Florian, Haiqian Yang, Anja Köhler, et al.. (2024). Repeat DNA methylation is modulated by adherens junction signaling. Communications Biology. 7(1). 286–286. 2 indexed citations
3.
Weirich, Sara, et al.. (2024). SETDB1 activity is globally directed by H3K14 acetylation via its Triple Tudor Domain. Nucleic Acids Research. 52(22). 13690–13705.
4.
Bashtrykov, Pavel, et al.. (2024). Allele-specific DNA demethylation editing leads to stable upregulation of allele-specific gene expression. iScience. 27(10). 111007–111007. 2 indexed citations
5.
Radde, Nicole, et al.. (2022). Reversible switching and stability of the epigenetic memory system in bacteria. FEBS Journal. 290(8). 2115–2126. 7 indexed citations
6.
Zhao, Yueling, Xiaojie Yan, Chen Ye, et al.. (2022). CRL2ZER1/ZYG11B recognizes small N-terminal residues for degradation. Nature Communications. 13(1). 7636–7636. 18 indexed citations
7.
Adam, Sabrina, et al.. (2022). Flanking sequences influence the activity of TET1 and TET2 methylcytosine dioxygenases and affect genomic 5hmC patterns. Communications Biology. 5(1). 92–92. 19 indexed citations
8.
Dukatz, Michael, et al.. (2022). Methylation of recombinant mononucleosomes by DNMT3A demonstrates efficient linker DNA methylation and a role of H3K36me3. Communications Biology. 5(1). 192–192. 10 indexed citations
9.
Fuchs, Marina, Sara Weirich, Mareike Roth, et al.. (2021). A functional LSD1 coregulator screen reveals a novel transcriptional regulatory cascade connecting R-loop homeostasis with epigenetic regulation. Nucleic Acids Research. 49(8). 4350–4370. 17 indexed citations
10.
Gao, Linfeng, Max Emperle, Yiran Guo, et al.. (2020). Comprehensive structure-function characterization of DNMT3B and DNMT3A reveals distinctive de novo DNA methylation mechanisms. Nature Communications. 11(1). 3355–3355. 124 indexed citations
11.
Emperle, Max, Sabrina Adam, Michael Dukatz, et al.. (2019). Mutations of R882 change flanking sequence preferences of the DNA methyltransferase DNMT3A and cellular methylation patterns. Nucleic Acids Research. 47(21). 11355–11367. 46 indexed citations
12.
Jurkowska, Renata Z., Qin Su, Goran Kungulovski, et al.. (2017). H3K14ac is linked to methylation of H3K9 by the triple Tudor domain of SETDB1. Nature Communications. 8(1). 2057–2057. 62 indexed citations
13.
14.
Müller, Sandra, Tomasz P. Jurkowski, Albert Jeltsch, et al.. (2013). Target recognition, RNA methylation activity and transcriptional regulation of the Dictyostelium discoideum Dnmt2-homologue (DnmA). Nucleic Acids Research. 41(18). 8615–8627. 45 indexed citations
15.
Dhayalan, Arunkumar, Raluca Tamas, Anna Tattermusch, et al.. (2011). The ATRX-ADD domain binds to H3 tail peptides and reads the combined methylation state of K4 and K9. Human Molecular Genetics. 20(11). 2195–2203. 118 indexed citations
16.
Dhayalan, Arunkumar, Arumugam Rajavelu, Philipp Rathert, et al.. (2010). The Dnmt3a PWWP Domain Reads Histone 3 Lysine 36 Trimethylation and Guides DNA Methylation. Journal of Biological Chemistry. 285(34). 26114–26120. 405 indexed citations
17.
Zhang, Yingying, Christian Rohde, Sascha Tierling, et al.. (2009). DNA Methylation Analysis of Chromosome 21 Gene Promoters at Single Base Pair and Single Allele Resolution. PLoS Genetics. 5(3). e1000438–e1000438. 128 indexed citations
18.
Stolzenburg, Sabine, et al.. (2008). Modulation of epigenetic marks controlling the expression of the pancarcinoma antigen epithelial cell adhesion molecule. Data Archiving and Networked Services (DANS).
19.
Jeltsch, Albert. (2002). Beyond Watson and Crick: DNA Methylation and Molecular Enzymology of DNA Methyltransferases. ChemBioChem. 3(5). 382–382. 41 indexed citations
20.
Reither, Sabine & Albert Jeltsch. (2002). Specificity of DNA triple helix formation analyzed by a FRET assay. BMC Biochemistry. 3(1). 27–27. 22 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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