Simon E. Vidal

995 total citations
10 papers, 535 citations indexed

About

Simon E. Vidal is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Simon E. Vidal has authored 10 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Epidemiology and 1 paper in Infectious Diseases. Recurrent topics in Simon E. Vidal's work include CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (4 papers) and Epigenetics and DNA Methylation (3 papers). Simon E. Vidal is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (4 papers) and Epigenetics and DNA Methylation (3 papers). Simon E. Vidal collaborates with scholars based in United States, Chile and Germany. Simon E. Vidal's co-authors include Hana El‐Samad, David Pincus, Eelco van Anken, Tomás Aragón, Peter Walter, Michael Chevalier, Matthias Stadtfeld, Taotao Chen, Aristotelis Tsirigos and Shengjiang Tu and has published in prestigious journals such as Nature, Nature Communications and Cell stem cell.

In The Last Decade

Simon E. Vidal

10 papers receiving 529 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon E. Vidal United States 8 338 273 125 55 42 10 535
Kota Yanagitani Japan 6 421 1.2× 293 1.1× 111 0.9× 36 0.7× 21 0.5× 8 525
Tetsuya Hirata Japan 14 410 1.2× 177 0.6× 119 1.0× 20 0.4× 34 0.8× 27 570
Frank Adolf Germany 12 466 1.4× 397 1.5× 38 0.3× 35 0.6× 25 0.6× 14 610
Sarah Haßdenteufel Germany 13 510 1.5× 374 1.4× 65 0.5× 25 0.5× 15 0.4× 15 646
Stefan Schoebel Germany 10 404 1.2× 331 1.2× 84 0.7× 40 0.7× 15 0.4× 11 691
Lucia Sticco Italy 6 373 1.1× 156 0.6× 32 0.3× 19 0.3× 24 0.6× 7 471
Jennifer L. Goeckeler-Fried United States 10 600 1.8× 409 1.5× 122 1.0× 20 0.4× 27 0.6× 15 770
Moira V. Ellis United Kingdom 10 435 1.3× 216 0.8× 51 0.4× 40 0.7× 8 0.2× 16 606
Anuradha Mehta United States 13 561 1.7× 74 0.3× 94 0.8× 58 1.1× 43 1.0× 27 869
Marisa Loi Switzerland 7 174 0.5× 280 1.0× 229 1.8× 26 0.5× 13 0.3× 7 418

Countries citing papers authored by Simon E. Vidal

Since Specialization
Citations

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

Fields of papers citing papers by Simon E. Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon E. Vidal. 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 Simon E. Vidal. The network helps show where Simon E. Vidal may publish in the future.

Co-authorship network of co-authors of Simon E. Vidal

This figure shows the co-authorship network connecting the top 25 collaborators of Simon E. Vidal. A scholar is included among the top collaborators of Simon E. Vidal 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 Simon E. Vidal. Simon E. Vidal 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.
Garipler, Görkem, Congyi Lu, Simon E. Vidal, et al.. (2022). The BTB transcription factors ZBTB11 and ZFP131 maintain pluripotency by repressing pro-differentiation genes. Cell Reports. 38(11). 110524–110524. 11 indexed citations
2.
Davies, C., Simon E. Vidal, Lilian Phu, et al.. (2021). Antibody toolkit reveals N-terminally ubiquitinated substrates of UBE2W. Nature Communications. 12(1). 4608–4608. 17 indexed citations
3.
Vidal, Simon E., Alexander Polyzos, Ly-Sha Ee, et al.. (2020). Context-Dependent Requirement of Euchromatic Histone Methyltransferase Activity during Reprogramming to Pluripotency. Stem Cell Reports. 15(6). 1233–1245. 8 indexed citations
4.
Lhoumaud, Priscillia, Franco Izzo, Theodore Sakellaropoulos, et al.. (2019). EpiMethylTag: simultaneous detection of ATAC-seq or ChIP-seq signals with DNA methylation. Genome biology. 20(1). 248–248. 24 indexed citations
5.
Barriga, Gonzalo P., Chantal L. Márquez, Rodrigo Acuña, et al.. (2016). Inhibition of the Hantavirus Fusion Process by Predicted Domain III and Stem Peptides from Glycoprotein Gc. PLoS neglected tropical diseases. 10(7). e0004799–e0004799. 20 indexed citations
6.
Tu, Shengjiang, Varun Narendra, Masashi Yamaji, et al.. (2016). Co-repressor CBFA2T2 regulates pluripotency and germline development. Nature. 534(7607). 387–390. 48 indexed citations
7.
Vidal, Simon E., et al.. (2015). F-Class Cells: New Routes and Destinations for Induced Pluripotency. Cell stem cell. 16(1). 9–10. 6 indexed citations
8.
9.
Vidal, Simon E., David Pincus, Jacob Stewart-Ornstein, & Hana El‐Samad. (2013). Formation of Subnuclear Foci Is a Unique Spatial Behavior of Mating MAPKs during Hyperosmotic Stress. Cell Reports. 3(2). 328–334. 2 indexed citations
10.
Pincus, David, Michael Chevalier, Tomás Aragón, et al.. (2010). BiP Binding to the ER-Stress Sensor Ire1 Tunes the Homeostatic Behavior of the Unfolded Protein Response. PLoS Biology. 8(7). e1000415–e1000415. 339 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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