Gilad Fuchs

910 total citations
12 papers, 659 citations indexed

About

Gilad Fuchs is a scholar working on Molecular Biology, Cancer Research and Information Systems. According to data from OpenAlex, Gilad Fuchs has authored 12 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Information Systems. Recurrent topics in Gilad Fuchs's work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers) and RNA modifications and cancer (3 papers). Gilad Fuchs is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers) and RNA modifications and cancer (3 papers). Gilad Fuchs collaborates with scholars based in Israel, United States and Croatia. Gilad Fuchs's co-authors include Moshe Oren, Yoav Voichek, Ido Amit, Sima Benjamin, Shlomit Gilad, Sylvia Wilder, Débora Rosa Bublik, Eytan Domany, Gil Ast and Dror Hollander and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Oncogene.

In The Last Decade

Gilad Fuchs

11 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gilad Fuchs Israel 8 607 132 51 44 31 12 659
Nader Ezzeddine United States 10 700 1.2× 120 0.9× 47 0.9× 35 0.8× 13 0.4× 11 759
Maroof K. Zafar United States 13 392 0.6× 74 0.6× 63 1.2× 36 0.8× 23 0.7× 23 473
Joanna L. Birch United Kingdom 7 503 0.8× 69 0.5× 37 0.7× 23 0.5× 21 0.7× 17 579
Letícia Koch Lerner Brazil 12 444 0.7× 85 0.6× 63 1.2× 49 1.1× 19 0.6× 16 496
Sarah J. Goodfellow United Kingdom 9 469 0.8× 70 0.5× 60 1.2× 46 1.0× 18 0.6× 11 516
Natalya Benderska Germany 12 479 0.8× 109 0.8× 23 0.5× 38 0.9× 49 1.6× 13 553
Maxim Pilyugin Switzerland 10 351 0.6× 96 0.7× 68 1.3× 67 1.5× 12 0.4× 16 413
Sophie Bail United States 8 465 0.8× 199 1.5× 29 0.6× 36 0.8× 14 0.5× 8 536
Anneke Brümmer Switzerland 11 548 0.9× 277 2.1× 22 0.4× 46 1.0× 23 0.7× 14 619
Eva Matoulková Czechia 4 262 0.4× 68 0.5× 43 0.8× 30 0.7× 18 0.6× 6 347

Countries citing papers authored by Gilad Fuchs

Since Specialization
Citations

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

Fields of papers citing papers by Gilad Fuchs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilad Fuchs

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

All Works

12 of 12 papers shown
1.
Fuchs, Gilad, et al.. (2022). Product Titles-to-Attributes As a Text-to-Text Task. 91–98. 1 indexed citations
2.
Spolverini, Ambra, Gilad Fuchs, Débora Rosa Bublik, & Moshe Oren. (2017). let-7b and let-7c microRNAs promote histone H2B ubiquitylation and inhibit cell migration by targeting multiple components of the H2B deubiquitylation machinery. Oncogene. 36(42). 5819–5828. 26 indexed citations
4.
Bublik, Débora Rosa, Slađana Bursać, Michal Sheffer, et al.. (2016). Regulatory module involving FGF13, miR-504, and p53 regulates ribosomal biogenesis and supports cancer cell survival. Proceedings of the National Academy of Sciences. 114(4). E496–E505. 55 indexed citations
5.
Fuchs, Gilad, Yoav Voichek, Michal Rabani, et al.. (2015). Simultaneous measurement of genome-wide transcription elongation speeds and rates of RNA polymerase II transition into active elongation with 4sUDRB-seq. Nature Protocols. 10(4). 605–618. 29 indexed citations
6.
Harel, S, Noa Bossel Ben‐Moshe, Yael Aylon, et al.. (2015). Reactivation of epigenetically silenced miR-512 and miR-373 sensitizes lung cancer cells to cisplatin and restricts tumor growth. Cell Death and Differentiation. 22(8). 1328–1340. 61 indexed citations
7.
Fuchs, Gilad, Efrat Shema, Eran Kotler, et al.. (2015). RNF20 and USP44 Regulate Stem Cell Differentiation by Modulating H2B Monoubiquitylation. Molecular Cell. 60(2). 338–338. 1 indexed citations
8.
Fuchs, Gilad & Moshe Oren. (2014). Writing and reading H2B monoubiquitylation. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1839(8). 694–701. 106 indexed citations
9.
Fuchs, Gilad, Dror Hollander, Yoav Voichek, Gil Ast, & Moshe Oren. (2014). Cotranscriptional histone H2B monoubiquitylation is tightly coupled with RNA polymerase II elongation rate. Genome Research. 24(10). 1572–1583. 72 indexed citations
10.
Fuchs, Gilad, Yoav Voichek, Sima Benjamin, et al.. (2014). 4sUDRB-seq: measuring genomewide transcriptional elongation rates and initiation frequencies within cells. Genome biology. 15(5). R69–R69. 133 indexed citations
11.
Fuchs, Gilad, Efrat Shema, Eran Kotler, et al.. (2012). RNF20 and USP44 Regulate Stem Cell Differentiation by Modulating H2B Monoubiquitylation. Molecular Cell. 46(5). 662–673. 173 indexed citations
12.
Fuchs, Gilad. (1952). [Sensitization of maligancies of ultra short waves].. PubMed. 88(3-4). 647–53. 2 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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