Ferenc Müller

9.2k total citations
88 papers, 3.5k citations indexed

About

Ferenc Müller is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Ferenc Müller has authored 88 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 19 papers in Genetics and 16 papers in Cell Biology. Recurrent topics in Ferenc Müller's work include Genomics and Chromatin Dynamics (23 papers), Developmental Biology and Gene Regulation (18 papers) and CRISPR and Genetic Engineering (14 papers). Ferenc Müller is often cited by papers focused on Genomics and Chromatin Dynamics (23 papers), Developmental Biology and Gene Regulation (18 papers) and CRISPR and Genetic Engineering (14 papers). Ferenc Müller collaborates with scholars based in United Kingdom, Germany and France. Ferenc Müller's co-authors include Uwe Strähle, Làszlò Tora, Yavor Hadzhiev, Nadine Fischer, Patrick Blader, Lixin Yang, Norman Maclean, Arati Iyengar, Urban Liebel and László Orbán and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Ferenc Müller

87 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ferenc Müller United Kingdom 35 2.5k 710 606 289 279 88 3.5k
Wan‐Xi Yang China 35 1.4k 0.6× 682 1.0× 510 0.8× 275 1.0× 387 1.4× 122 3.5k
Kirsten C. Sadler United States 35 2.6k 1.1× 504 0.7× 1.1k 1.7× 453 1.6× 157 0.6× 76 4.6k
Keith C. Cheng United States 36 2.8k 1.1× 678 1.0× 946 1.6× 169 0.6× 211 0.8× 84 4.9k
Elwood Linney United States 41 2.6k 1.0× 1.3k 1.9× 804 1.3× 412 1.4× 668 2.4× 74 4.4k
Ronald B. Walter United States 30 1.3k 0.5× 998 1.4× 278 0.5× 363 1.3× 299 1.1× 130 3.2k
Atsuko Shimada Japan 29 1.2k 0.5× 695 1.0× 334 0.6× 553 1.9× 133 0.5× 168 3.0k
Michael Schubert France 37 2.6k 1.0× 781 1.1× 261 0.4× 169 0.6× 95 0.3× 112 4.1k
Christoph Winkler Singapore 38 2.8k 1.2× 1.7k 2.4× 967 1.6× 210 0.7× 135 0.5× 128 4.8k
Miguel L. Allende Chile 37 3.7k 1.5× 860 1.2× 1.7k 2.8× 226 0.8× 269 1.0× 114 5.6k
Ralf Dahm Germany 24 2.1k 0.9× 359 0.5× 771 1.3× 88 0.3× 86 0.3× 61 3.0k

Countries citing papers authored by Ferenc Müller

Since Specialization
Citations

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

Fields of papers citing papers by Ferenc Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferenc Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Ferenc Müller. A scholar is included among the top collaborators of Ferenc Müller 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 Ferenc Müller. Ferenc Müller 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.
Murray, David, et al.. (2024). Paternal starvation affects metabolic gene expression during zebrafish offspring development and lifelong fitness. Molecular Ecology. 33(6). e17296–e17296. 4 indexed citations
2.
Wragg, Joseph W., Yavor Hadzhiev, Kasun Wanigasooriya, et al.. (2023). Intra-promoter switch of transcription initiation sites in proliferation signaling-dependent RNA metabolism. Nature Structural & Molecular Biology. 30(12). 1970–1984. 1 indexed citations
3.
Baranas̆ić, Damir, et al.. (2023). Zebrafish regulatory genomic resources for disease modelling and regeneration. Disease Models & Mechanisms. 16(8). 3 indexed citations
4.
Bernardini, Andrea, et al.. (2023). Transcription factor IID parks and drives preinitiation complexes at sharp or broad promoters. Trends in Biochemical Sciences. 48(10). 839–848. 5 indexed citations
5.
Cvetešić, Nevena, Kapil Gupta, Tao Ye, et al.. (2020). TBPL2/TFIIA complex establishes the maternal transcriptome through oocyte-specific promoter usage. Nature Communications. 11(1). 6439–6439. 23 indexed citations
6.
Nepal, Chirag, Yavor Hadzhiev, Piotr J. Balwierz, et al.. (2020). Dual-initiation promoters with intertwined canonical and TCT/TOP transcription start sites diversify transcript processing. Nature Communications. 11(1). 168–168. 29 indexed citations
7.
Hadzhiev, Yavor, Lucy Wheatley, Aleksandra Jasiulewicz, et al.. (2019). A cell cycle-coordinated Polymerase II transcription compartment encompasses gene expression before global genome activation. Nature Communications. 10(1). 691–691. 209 indexed citations
8.
Ren, Xiaoyun, Noémie Hamilton, Ferenc Müller, & Yoshiyuki Yamamoto. (2018). Cellular rearrangement of the prechordal plate contributes to eye degeneration in the cavefish. Developmental Biology. 441(2). 221–234. 6 indexed citations
9.
Griffiths, Gareth, Ferenc Müller, Johan Ledin, et al.. (2016). Fish from Head to Tail: The 9th European Zebrafish Meeting in Oslo. Zebrafish. 13(2). 132–137. 1 indexed citations
10.
Hadzhiev, Yavor, Irene Miguel-Escalada, Darius Balčiūnas, & Ferenc Müller. (2016). Testing of Cis-Regulatory Elements by Targeted Transgene Integration in Zebrafish Using PhiC31 Integrase. Methods in molecular biology. 1451. 81–91. 3 indexed citations
11.
12.
Sanges, Remo, Yavor Hadzhiev, Agnès Roure, et al.. (2013). Highly conserved elements discovered in vertebrates are present in non-syntenic loci of tunicates, act as enhancers and can be transcribed during development. Nucleic Acids Research. 41(6). 3600–3618. 23 indexed citations
13.
Kano, Shungo, Jinhua Xiao, Joana Osório, et al.. (2010). Two Lamprey Hedgehog Genes Share Non-Coding Regulatory Sequences and Expression Patterns with Gnathostome Hedgehogs. PLoS ONE. 5(10). e13332–e13332. 19 indexed citations
14.
Hadzhiev, Yavor, et al.. (2007). Functional diversification of sonic hedgehog paralog enhancers identified by phylogenomic reconstruction. Genome biology. 8(6). R106–R106. 15 indexed citations
15.
Yang, Lixin, Matthias Bauer, Jessica Legradi, et al.. (2007). Transcriptional profiling reveals barcode-like toxicogenomic responses in the zebrafish embryo. Genome biology. 8(10). R227–R227. 147 indexed citations
16.
Müller, Ferenc. (2005). Comparative Aspects of Alternative Laboratory Fish Models. Zebrafish. 2(1). 47–54. 10 indexed citations
17.
Szabó, Mónika, et al.. (2003). Transposition and targeting of the prokaryotic mobile element IS30 in zebrafish. FEBS Letters. 550(1-3). 46–50. 20 indexed citations
18.
Götz, Mario E., Peter Fischer, W. Gsell, et al.. (1998). Platelet Monoamine Oxidase B Activity in Dementia. Dementia and Geriatric Cognitive Disorders. 9(2). 74–77. 23 indexed citations
19.
Müller, Ferenc, Darren W. Williams, Julianna Kobolák, et al.. (1997). Activator effect of coinjected enhancers on the muscle-specific expression of promoters in zebrafish embryos. Molecular Reproduction and Development. 47(4). 404–412. 51 indexed citations
20.
Williams, Darren W., et al.. (1996). High transgene activity in the yolk syncytial layer affects quantitative transient expression assays in zebrafish (Danio rerio) embryos. Transgenic Research. 5(6). 433–442. 36 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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