Arnaud Krebs

3.6k total citations · 1 hit paper
27 papers, 2.2k citations indexed

About

Arnaud Krebs is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Arnaud Krebs has authored 27 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Arnaud Krebs's work include Genomics and Chromatin Dynamics (19 papers), Epigenetics and DNA Methylation (13 papers) and RNA modifications and cancer (8 papers). Arnaud Krebs is often cited by papers focused on Genomics and Chromatin Dynamics (19 papers), Epigenetics and DNA Methylation (13 papers) and RNA modifications and cancer (8 papers). Arnaud Krebs collaborates with scholars based in Switzerland, France and Germany. Arnaud Krebs's co-authors include Làszlò Tora, Dirk Schübeler, Lukas Burger, Krishanpal Karmodiya, Mustapha Oulad‐Abdelghani, Hiroshi Kimura, Tuncay Baubec, C Wirbelauer, Juliane Schmidt and Altuna Akalin and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Arnaud Krebs

26 papers receiving 2.2k citations

Hit Papers

Genomic profiling of DNA methyltransferases reveals a rol... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnaud Krebs Switzerland 18 2.0k 339 168 157 134 27 2.2k
Mikiko Fukuda Japan 7 2.0k 1.0× 400 1.2× 107 0.6× 95 0.6× 108 0.8× 9 2.2k
Kashyap Dave Finland 11 1.7k 0.9× 302 0.9× 166 1.0× 212 1.4× 95 0.7× 12 2.0k
David McCleary United Kingdom 8 1.4k 0.7× 341 1.0× 143 0.9× 178 1.1× 69 0.5× 13 1.7k
Henriette O’Geen United States 28 2.4k 1.2× 527 1.6× 202 1.2× 275 1.8× 139 1.0× 43 2.7k
Donncha S. Dunican United Kingdom 17 1.6k 0.8× 388 1.1× 193 1.1× 148 0.9× 79 0.6× 21 1.8k
Jacqueline E. Mermoud United Kingdom 14 2.3k 1.2× 677 2.0× 134 0.8× 241 1.5× 90 0.7× 17 2.5k
Timothy R. Dreszer United States 6 1.7k 0.8× 458 1.4× 333 2.0× 206 1.3× 117 0.9× 7 2.0k
Hideharu Hashimoto United States 23 2.2k 1.1× 507 1.5× 130 0.8× 112 0.7× 64 0.5× 34 2.4k
Sonia Verp Switzerland 15 1.6k 0.8× 266 0.8× 205 1.2× 402 2.6× 145 1.1× 19 1.8k
Hannah K. Long United Kingdom 12 2.3k 1.2× 397 1.2× 219 1.3× 238 1.5× 118 0.9× 18 2.5k

Countries citing papers authored by Arnaud Krebs

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Krebs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Krebs

This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Krebs. A scholar is included among the top collaborators of Arnaud Krebs 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 Arnaud Krebs. Arnaud Krebs 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.
Chatsirisupachai, Kasit, et al.. (2025). Mouse promoters are characterised by low occupancy and high turnover of RNA polymerase II. Molecular Systems Biology. 21(5). 447–471.
2.
Rauluševičiūtė, Ieva, Guido Barzaghi, Boris Lenhard, et al.. (2024). Identification of transcription factor co-binding patterns with non-negative matrix factorization. Nucleic Acids Research. 52(18). e85–e85. 1 indexed citations
3.
Kreibich, Elisa & Arnaud Krebs. (2023). Relevance of DNA methylation at enhancers for the acquisition of cell identities. FEBS Letters. 597(14). 1805–1817. 6 indexed citations
4.
Butz, Stefan, Nina Schmolka, Ino D. Karemaker, et al.. (2022). DNA sequence and chromatin modifiers cooperate to confer epigenetic bistability at imprinting control regions. Nature Genetics. 54(11). 1702–1710. 16 indexed citations
5.
Grand, Ralph S., Lukas Burger, Cathrin Gräwe, et al.. (2021). BANP opens chromatin and activates CpG-island-regulated genes. Nature. 596(7870). 133–137. 60 indexed citations
6.
Kleinendorst, Rozemarijn, Guido Barzaghi, Mike L. Smith, Judith B. Zaugg, & Arnaud Krebs. (2021). Genome-wide quantification of transcription factor binding at single-DNA-molecule resolution using methyl-transferase footprinting. Nature Protocols. 16(12). 5673–5706. 11 indexed citations
7.
Krebs, Arnaud. (2021). Studying transcription factor function in the genome at molecular resolution. Trends in Genetics. 37(9). 798–806. 14 indexed citations
8.
Kleinendorst, Rozemarijn, Dilek Imanci, Guido Barzaghi, et al.. (2020). Molecular Co-occupancy Identifies Transcription Factor Binding Cooperativity In Vivo. Molecular Cell. 81(2). 255–267.e6. 89 indexed citations
9.
Ginno, Paul A., Dimos Gaidatzis, Angelika Feldmann, et al.. (2020). A genome-scale map of DNA methylation turnover identifies site-specific dependencies of DNMT and TET activity. Nature Communications. 11(1). 2680–2680. 102 indexed citations
10.
Hartl, Dominik, Arnaud Krebs, Ralph S. Grand, et al.. (2019). CG dinucleotides enhance promoter activity independent of DNA methylation. Genome Research. 29(4). 554–563. 37 indexed citations
11.
Hartl, Dominik, Arnaud Krebs, Josephine Jüttner, Botond Roska, & Dirk Schübeler. (2017). Cis-regulatory landscapes of four cell types of the retina. Nucleic Acids Research. 45(20). 11607–11621. 23 indexed citations
12.
Ravens, Sarina, et al.. (2014). Interpreting and Visualizing ChIP-seq Data with the seqMINER Software. Methods in molecular biology. 1150. 141–152. 11 indexed citations
13.
Karmodiya, Krishanpal, Arnaud Krebs, Mustapha Oulad‐Abdelghani, Hiroshi Kimura, & Làszlò Tora. (2012). H3K9 and H3K14 acetylation co-occur at many gene regulatory elements, while H3K14ac marks a subset of inactive inducible promoters in mouse embryonic stem cells. BMC Genomics. 13(1). 424–424. 378 indexed citations
14.
15.
Martianov, Igor, Mohamed-Amin Choukrallah, Arnaud Krebs, et al.. (2010). Cell-specific occupancy of an extended repertoire of CREM and CREB binding loci in male germ cells. BMC Genomics. 11(1). 530–530. 51 indexed citations
16.
Anamika, Krishanpal, Arnaud Krebs, Julie Thompson, et al.. (2010). Lessons from genome-wide studies: an integrated definition of the coactivator function of histone acetyl transferases. Epigenetics & Chromatin. 3(1). 18–18. 38 indexed citations
17.
Ye, Tao, Arnaud Krebs, Mohamed-Amin Choukrallah, et al.. (2010). seqMINER: an integrated ChIP-seq data interpretation platform. Nucleic Acids Research. 39(6). e35–e35. 317 indexed citations
18.
Orpinell, Meritxell, Marjorie Fournier, Zita Nagy, et al.. (2010). The ATAC acetyl transferase complex controls mitotic progression by targeting non‐histone substrates. The EMBO Journal. 29(14). 2381–2394. 70 indexed citations
19.
Krebs, Arnaud, Mattia Frontini, & Làszlò Tora. (2008). GPAT: Retrieval of genomic annotation from large genomic position datasets. BMC Bioinformatics. 9(1). 533–533. 24 indexed citations
20.
Sauder, Christian, William H. Schubach, Gary Horvath, et al.. (1996). Mutational analysis of the Epstein--Barr virus nuclear antigen 2 by far-Western blotting and DNA-binding studies. Journal of General Virology. 77(5). 991–996. 4 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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