Patrick Varga‐Weisz

4.4k total citations
44 papers, 2.6k citations indexed

About

Patrick Varga‐Weisz is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Patrick Varga‐Weisz has authored 44 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Plant Science. Recurrent topics in Patrick Varga‐Weisz's work include Genomics and Chromatin Dynamics (28 papers), Epigenetics and DNA Methylation (12 papers) and Protein Degradation and Inhibitors (8 papers). Patrick Varga‐Weisz is often cited by papers focused on Genomics and Chromatin Dynamics (28 papers), Epigenetics and DNA Methylation (12 papers) and Protein Degradation and Inhibitors (8 papers). Patrick Varga‐Weisz collaborates with scholars based in United Kingdom, United States and Germany. Patrick Varga‐Weisz's co-authors include Peter B. Becker, Masaru Miyano, Dag H. Yasui, Terumi Kohwi-shigematsu, Shutao Cai, Edgar Bonte, Matthias Mann, Matthias Wilm, Raymond A. Poot and Iwao Kukimoto and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Patrick Varga‐Weisz

41 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Varga‐Weisz United Kingdom 23 2.4k 338 315 247 167 44 2.6k
Hua-Ying Fan United States 23 2.4k 1.0× 340 1.0× 244 0.8× 172 0.7× 253 1.5× 34 2.6k
Davide Corona Italy 23 2.3k 1.0× 268 0.8× 362 1.1× 147 0.6× 113 0.7× 41 2.5k
C. Chen United States 18 1.3k 0.6× 309 0.9× 317 1.0× 174 0.7× 95 0.6× 40 1.8k
Anton Eberharter Germany 22 2.8k 1.2× 273 0.8× 505 1.6× 192 0.8× 195 1.2× 31 3.2k
Florence Cammas France 23 1.4k 0.6× 337 1.0× 204 0.6× 535 2.2× 196 1.2× 35 1.9k
Marek Bartkuhn Germany 28 2.5k 1.1× 515 1.5× 551 1.7× 244 1.0× 234 1.4× 65 3.0k
С. Г. Георгиева Russia 21 1.7k 0.7× 181 0.5× 359 1.1× 125 0.5× 129 0.8× 128 1.8k
Yoshinori Kohwi United States 27 2.4k 1.0× 621 1.8× 225 0.7× 317 1.3× 291 1.7× 42 2.9k
Marc D. Meneghini Canada 14 2.5k 1.1× 178 0.5× 523 1.7× 111 0.4× 107 0.6× 21 2.8k
Yoshiaki Ohkuma Japan 29 2.3k 1.0× 382 1.1× 164 0.5× 150 0.6× 275 1.6× 68 2.7k

Countries citing papers authored by Patrick Varga‐Weisz

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Varga‐Weisz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Varga‐Weisz. 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 Patrick Varga‐Weisz. The network helps show where Patrick Varga‐Weisz may publish in the future.

Co-authorship network of co-authors of Patrick Varga‐Weisz

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Varga‐Weisz. A scholar is included among the top collaborators of Patrick Varga‐Weisz 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 Patrick Varga‐Weisz. Patrick Varga‐Weisz 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.
Mukherjee, Debanjan, Ângelo Ferreira Chora, Ricardo S. Ramiro, et al.. (2022). Host lung microbiota promotes malaria-associated acute respiratory distress syndrome. Nature Communications. 13(1). 3747–3747. 14 indexed citations
2.
Varga‐Weisz, Patrick, et al.. (2022). Does chromatin function as a metabolite reservoir?. Trends in Biochemical Sciences. 47(9). 732–735. 12 indexed citations
3.
Kazakevych, Juri, Jérémy Denizot, Anke Liebert, et al.. (2020). Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium. Genome biology. 21(1). 64–64. 17 indexed citations
4.
Pattabiraman, Chitra, Reety Arora, Rekha V. Kumar, et al.. (2019). A SUV39H1-low chromatin state characterises and promotes migratory properties of cervical cancer cells. Experimental Cell Research. 378(2). 206–216. 10 indexed citations
5.
Fellows, Rachel & Patrick Varga‐Weisz. (2019). Chromatin dynamics and histone modifications in intestinal microbiota-host crosstalk. Molecular Metabolism. 38. 100925–100925. 49 indexed citations
6.
Durand‐Dubief, Mickaël, Delphine Theodorou, Margaret Crawford, et al.. (2012). SWI/SNF-Like Chromatin Remodeling Factor Fun30 Supports Point Centromere Function in S. cerevisiae. PLoS Genetics. 8(9). e1002974–e1002974. 37 indexed citations
7.
Mermoud, Jacqueline E., Samuel P. Rowbotham, & Patrick Varga‐Weisz. (2011). Keeping chromatin quiet. Cell Cycle. 10(23). 4017–4025. 26 indexed citations
8.
Rowbotham, Samuel P., Ana Neves‐Costa, Fátima Santos, et al.. (2011). Maintenance of Silent Chromatin through Replication Requires SWI/SNF-like Chromatin Remodeler SMARCAD1. Molecular Cell. 42(3). 285–296. 135 indexed citations
9.
Neves‐Costa, Ana, et al.. (2009). The SNF2-Family Member Fun30 Promotes Gene Silencing in Heterochromatic Loci. PLoS ONE. 4(12). e8111–e8111. 60 indexed citations
10.
Varga‐Weisz, Patrick, et al.. (2007). ATP-dependent Chromatin Remodelling. PubMed. 41. 29–44. 22 indexed citations
11.
Neves‐Costa, Ana & Patrick Varga‐Weisz. (2006). The Roles of Chromatin Remodelling Factors in Replication. Results and problems in cell differentiation. 41. 91–107. 5 indexed citations
12.
Poot, Raymond A., Ludmila Bozhenok, Debbie L. C. van den Berg, et al.. (2004). The Williams syndrome transcription factor interacts with PCNA to target chromatin remodelling by ISWI to replication foci. Nature Cell Biology. 6(12). 1236–1244. 154 indexed citations
13.
Bozhenok, Ludmila, Raymond A. Poot, Nadine Collins, & Patrick Varga‐Weisz. (2003). Functional Analysis of ISWI Complexes in Mammalian Cells. Methods in enzymology on CD-ROM/Methods in enzymology. 377. 376–389. 2 indexed citations
14.
Yasui, Dag H., Masaru Miyano, Shutao Cai, Patrick Varga‐Weisz, & Terumi Kohwi-shigematsu. (2002). SATB1 targets chromatin remodelling to regulate genes over long distances. Nature. 419(6907). 641–645. 399 indexed citations
15.
Varga‐Weisz, Patrick. (2001). ATP-dependent chromatin remodeling factors: Nucleosome shufflers with many missions. Oncogene. 20(24). 3076–3085. 99 indexed citations
16.
Varga‐Weisz, Patrick & Peter B. Becker. (1998). Chromatin-remodeling factors: machines that regulate?. Current Opinion in Cell Biology. 10(3). 346–353. 110 indexed citations
17.
Miller, Karen I., et al.. (1998). Sequence of the Octopus dofleini hemocyanin subunit: structural and evolutionary implications. Journal of Molecular Biology. 278(4). 827–842. 85 indexed citations
18.
Varga‐Weisz, Patrick, et al.. (1997). Chromatin-remodelling factor CHRAC contains the ATPases ISWI and topoisomerase II. Nature. 388(6642). 598–602. 422 indexed citations
19.
Varga‐Weisz, Patrick & Peter B. Becker. (1995). Transcription factor‐mediated chromatin remodelling: mechanisms and models. FEBS Letters. 369(1). 118–121. 15 indexed citations
20.
Varga‐Weisz, Patrick, Michele Solem, & David W. Barnes. (1993). Expression of a TGFβ regulated, brain-specific mRNA in serum-free mouse embryo (SFME) cells. Neuroscience Letters. 154(1-2). 153–156. 7 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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