Dan Vershkov

684 total citations · 1 hit paper
9 papers, 455 citations indexed

About

Dan Vershkov is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Dan Vershkov has authored 9 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Cognitive Neuroscience. Recurrent topics in Dan Vershkov's work include Genetics and Neurodevelopmental Disorders (5 papers), Pluripotent Stem Cells Research (4 papers) and Autism Spectrum Disorder Research (4 papers). Dan Vershkov is often cited by papers focused on Genetics and Neurodevelopmental Disorders (5 papers), Pluripotent Stem Cells Research (4 papers) and Autism Spectrum Disorder Research (4 papers). Dan Vershkov collaborates with scholars based in Israel, United States and Denmark. Dan Vershkov's co-authors include Denes Hnisz, Charles H. Li, Yun Li, Marine Krzisch, Angela Cacace, Chuanyun Xu, Rudolf Jaenisch, John D. Graef, X. Shawn Liu and Xuebing Wu and has published in prestigious journals such as Cell, Nature Communications and Genome Research.

In The Last Decade

Dan Vershkov

9 papers receiving 449 citations

Hit Papers

Rescue of Fragile X Syndrome Neurons by DNA Methylation E... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Vershkov Israel 7 388 199 78 33 20 9 455
Marty G. Yang United States 7 383 1.0× 141 0.7× 40 0.5× 44 1.3× 18 0.9× 10 450
Atsuki Kawamura Japan 8 286 0.7× 192 1.0× 143 1.8× 22 0.7× 9 0.5× 11 395
Poornima Manavalan United States 5 326 0.8× 261 1.3× 139 1.8× 48 1.5× 10 0.5× 5 423
Bonnie Nijhof Netherlands 8 223 0.6× 209 1.1× 74 0.9× 77 2.3× 29 1.4× 11 391
Alina Piekna Canada 9 319 0.8× 203 1.0× 123 1.6× 76 2.3× 12 0.6× 11 433
Ábel Vértesy Austria 9 310 0.8× 80 0.4× 49 0.6× 43 1.3× 38 1.9× 12 437
Shelley Jacobs Australia 8 265 0.7× 189 0.9× 79 1.0× 66 2.0× 8 0.4× 11 419
Eriona Hysolli United States 11 465 1.2× 192 1.0× 66 0.8× 49 1.5× 5 0.3× 16 521
Anastasia Hrabovsky United States 8 524 1.4× 223 1.1× 107 1.4× 65 2.0× 19 0.9× 8 622
Britt Mossink Netherlands 9 240 0.6× 109 0.5× 103 1.3× 145 4.4× 23 1.1× 11 412

Countries citing papers authored by Dan Vershkov

Since Specialization
Citations

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

Fields of papers citing papers by Dan Vershkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Vershkov

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

All Works

9 of 9 papers shown
1.
Vershkov, Dan, Atilgan Yilmaz, Ofra Yanuka, Anders Lade Nielsen, & Nissim Benvenisty. (2022). Genome-wide screening for genes involved in the epigenetic basis of fragile X syndrome. Stem Cell Reports. 17(5). 1048–1058. 7 indexed citations
2.
Caballero, Madison, Ana Rita Rebelo, Seungmae Seo, et al.. (2022). Comprehensive analysis of DNA replication timing across 184 cell lines suggests a role forMCM10in replication timing regulation. Human Molecular Genetics. 31(17). 2899–2917. 9 indexed citations
3.
Bar, Shiran, Dan Vershkov, Atilgan Yilmaz, et al.. (2021). Identifying regulators of parental imprinting by CRISPR/Cas9 screening in haploid human embryonic stem cells. Nature Communications. 12(1). 6718–6718. 13 indexed citations
4.
Edwards, Matthew, Michael V. Zuccaro, Ido Sagi, et al.. (2021). Delayed DNA replication in haploid human embryonic stem cells. Genome Research. 31(12). 2155–2169. 6 indexed citations
5.
Fainstein, Nina, et al.. (2021). Electric neurostimulation regulates microglial activation via retinoic acid receptor α signaling. Brain Behavior and Immunity. 96. 40–53. 18 indexed citations
6.
Vershkov, Dan, et al.. (2019). FMR1 Reactivating Treatments in Fragile X iPSC-Derived Neural Progenitors In Vitro and In Vivo. Cell Reports. 26(10). 2531–2539.e4. 28 indexed citations
7.
Liu, X. Shawn, Hao Wu, Marine Krzisch, et al.. (2018). Rescue of Fragile X Syndrome Neurons by DNA Methylation Editing of the FMR1 Gene. Cell. 172(5). 979–992.e6. 335 indexed citations breakdown →
8.
Weissbein, Uri, et al.. (2017). Culture-induced recurrent epigenetic aberrations in human pluripotent stem cells. PLoS Genetics. 13(8). e1006979–e1006979. 35 indexed citations
9.
Vershkov, Dan & Nissim Benvenisty. (2016). Human Pluripotent Stem Cells in Modeling Human Disorders: the Case of Fragile X Syndrome. Regenerative Medicine. 12(1). 53–68. 4 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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