Mario Iurlaro

1.7k total citations
10 papers, 1.2k citations indexed

About

Mario Iurlaro is a scholar working on Molecular Biology, Plant Science and Surgery. According to data from OpenAlex, Mario Iurlaro has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Plant Science and 1 paper in Surgery. Recurrent topics in Mario Iurlaro's work include Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (5 papers) and Genomics and Chromatin Dynamics (5 papers). Mario Iurlaro is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (5 papers) and Genomics and Chromatin Dynamics (5 papers). Mario Iurlaro collaborates with scholars based in United Kingdom, Switzerland and United States. Mario Iurlaro's co-authors include Wolf Reik, Dirk Schübeler, Shankar Balasubramanian, Michael Stadler, Martin Bachman, Darko Barišić, Ferdinand von Meyenn, Eun‐Ang Raiber, Heather E. Burgess and Michael J. Booth and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Mario Iurlaro

10 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Iurlaro United Kingdom 10 1.1k 159 58 54 53 10 1.2k
Sergey Ragozin Germany 12 1.1k 1.0× 304 1.9× 66 1.1× 56 1.0× 25 0.5× 13 1.2k
Yaxue Zeng United States 7 780 0.7× 95 0.6× 24 0.4× 68 1.3× 33 0.6× 10 858
Caterina Parlato Italy 12 1.1k 1.0× 186 1.2× 40 0.7× 63 1.2× 44 0.8× 15 1.3k
Annalisa Izzo Germany 16 1.1k 1.0× 158 1.0× 28 0.5× 146 2.7× 75 1.4× 22 1.3k
Catherine Sénamaud‐Beaufort France 15 694 0.6× 99 0.6× 20 0.3× 36 0.7× 23 0.4× 23 878
Chul‐Hwan Lee United States 17 1.1k 1.0× 125 0.8× 18 0.3× 111 2.1× 39 0.7× 35 1.3k
Justin S. Becker United States 11 975 0.9× 102 0.6× 19 0.3× 133 2.5× 58 1.1× 12 1.2k
Ulrike Hardeland Switzerland 11 1.5k 1.3× 258 1.6× 14 0.2× 69 1.3× 79 1.5× 13 1.6k
Mintie Pu United States 7 659 0.6× 129 0.8× 26 0.4× 27 0.5× 17 0.3× 10 750
Chun So Hong Kong 12 473 0.4× 79 0.5× 60 1.0× 40 0.7× 64 1.2× 15 704

Countries citing papers authored by Mario Iurlaro

Since Specialization
Citations

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

Fields of papers citing papers by Mario Iurlaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Iurlaro

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Iurlaro. A scholar is included among the top collaborators of Mario Iurlaro 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 Mario Iurlaro. Mario Iurlaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Iurlaro, Mario, Ilya M. Flyamer, C Wirbelauer, et al.. (2024). Systematic assessment of ISWI subunits shows that NURF creates local accessibility for CTCF. Nature Genetics. 56(6). 1203–1212. 13 indexed citations
2.
Iurlaro, Mario, et al.. (2021). Mammalian SWI/SNF continuously restores local accessibility to chromatin. Nature Genetics. 53(3). 279–287. 107 indexed citations
3.
Barišić, Darko, Michael Stadler, Mario Iurlaro, & Dirk Schübeler. (2019). Mammalian ISWI and SWI/SNF selectively mediate binding of distinct transcription factors. Nature. 569(7754). 136–140. 181 indexed citations
4.
Raiber, Eun‐Ang, Guillem Portella, Sergio Martínez Cuesta, et al.. (2018). 5-Formylcytosine organizes nucleosomes and forms Schiff base interactions with histones in mouse embryonic stem cells. Nature Chemistry. 10(12). 1258–1266. 87 indexed citations
5.
Iurlaro, Mario, Ferdinand von Meyenn, & Wolf Reik. (2017). DNA methylation homeostasis in human and mouse development. Current Opinion in Genetics & Development. 43. 101–109. 95 indexed citations
6.
Iurlaro, Mario, Heather E. Burgess, Wendy Dean, et al.. (2016). In vivo genome-wide profiling reveals a tissue-specific role for 5-formylcytosine. Genome biology. 17(1). 141–141. 52 indexed citations
7.
Meyenn, Ferdinand von, Mario Iurlaro, Ehsan Habibi, et al.. (2016). Impairment of DNA Methylation Maintenance Is the Main Cause of Global Demethylation in Naive Embryonic Stem Cells. Molecular Cell. 62(6). 848–861. 166 indexed citations
8.
Bachman, Martin, Santiago Uribe‐Lewis, Xiaoping Yang, et al.. (2015). 5-Formylcytosine can be a stable DNA modification in mammals. Nature Chemical Biology. 11(8). 555–557. 196 indexed citations
9.
Agriesti, Francesca, Davide Roncarati, Francesco Musiani, et al.. (2013). FeON-FeOFF: the Helicobacter pylori Fur regulator commutates iron-responsive transcription by discriminative readout of opposed DNA grooves. Nucleic Acids Research. 42(5). 3138–3151. 33 indexed citations
10.
Iurlaro, Mario, Gabriella Ficz, David Oxley, et al.. (2013). A screen for hydroxymethylcytosine and formylcytosine binding proteins suggests functions in transcription and chromatin regulation. Genome biology. 14(10). R119–R119. 244 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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