Yoav Mayshar

3.3k total citations · 2 hit papers
23 papers, 2.3k citations indexed

About

Yoav Mayshar is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Yoav Mayshar has authored 23 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Biomedical Engineering. Recurrent topics in Yoav Mayshar's work include Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (7 papers) and Epigenetics and DNA Methylation (5 papers). Yoav Mayshar is often cited by papers focused on Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (7 papers) and Epigenetics and DNA Methylation (5 papers). Yoav Mayshar collaborates with scholars based in Israel, United States and Germany. Yoav Mayshar's co-authors include Nissim Benvenisty, Uri Ben‐David, Chenghua Gu, Benjamin J. Andreone, Esther Kur, Ayal Ben‐Zvi, Baptiste Lacoste, Han Yan, Henia Darr and Amander T. Clark and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Yoav Mayshar

22 papers receiving 2.3k citations

Hit Papers

Mfsd2a is critical for the formation and function of the ... 2010 2026 2015 2020 2014 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoav Mayshar Israel 15 1.6k 392 280 253 240 23 2.3k
Daisy A. Robinton United States 8 1.6k 0.9× 213 0.5× 235 0.8× 159 0.6× 94 0.4× 9 2.0k
Stéphane C. Boutet United States 18 1.3k 0.8× 302 0.8× 162 0.6× 153 0.6× 93 0.4× 28 1.9k
Shaheen N. Khan Pakistan 30 1.5k 0.9× 429 1.1× 466 1.7× 169 0.7× 666 2.8× 77 2.8k
Robert W. Mays United States 25 1.2k 0.7× 341 0.9× 244 0.9× 190 0.8× 738 3.1× 40 2.5k
Valentina Fossati United States 21 1.4k 0.8× 570 1.5× 460 1.6× 289 1.1× 763 3.2× 41 2.7k
Jun Kohyama Japan 32 1.8k 1.1× 263 0.7× 275 1.0× 149 0.6× 578 2.4× 56 2.9k
Antje Bornemann Germany 28 1.5k 0.9× 238 0.6× 336 1.2× 323 1.3× 529 2.2× 88 3.3k
Tara L. Huber United States 16 2.3k 1.4× 455 1.2× 543 1.9× 348 1.4× 262 1.1× 23 3.4k
Laura Sánchez Spain 26 1.3k 0.8× 108 0.3× 161 0.6× 247 1.0× 195 0.8× 45 2.0k
Alessandro Fantin United Kingdom 26 1.7k 1.0× 387 1.0× 175 0.6× 109 0.4× 165 0.7× 64 2.9k

Countries citing papers authored by Yoav Mayshar

Since Specialization
Citations

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

Fields of papers citing papers by Yoav Mayshar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoav Mayshar

This figure shows the co-authorship network connecting the top 25 collaborators of Yoav Mayshar. A scholar is included among the top collaborators of Yoav Mayshar 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 Yoav Mayshar. Yoav Mayshar 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.
Mayshar, Yoav, et al.. (2025). Challenges and Opportunities in Spatiotemporal Models of Mammalian Gastrulation. Annual Review of Cell and Developmental Biology. 41(1). 135–158.
2.
Hadas, Ron, Yoav Mayshar, Raz Ben-Yair, et al.. (2024). Temporal BMP4 effects on mouse embryonic and extraembryonic development. Nature. 634(8034). 652–661. 10 indexed citations
3.
Mayshar, Yoav, Saifeng Cheng, Raz Ben-Yair, et al.. (2023). Time-aligned hourglass gastrulation models in rabbit and mouse. Cell. 186(12). 2610–2627.e18. 14 indexed citations
4.
Jonas, Felix, Gilad Yaakov, Yoav Mayshar, et al.. (2023). Histone exchange sensors reveal variant specific dynamics in mouse embryonic stem cells. Nature Communications. 14(1). 3791–3791. 5 indexed citations
5.
Cheng, Saifeng, Yoav Mayshar, Aviezer Lifshitz, et al.. (2022). The intrinsic and extrinsic effects of TET proteins during gastrulation. Cell. 185(17). 3169–3185.e20. 27 indexed citations
6.
Shapira, Guy, Yoav Mayshar, Mira Malcov, et al.. (2021). Heterozygous APC germline mutations impart predisposition to colorectal cancer. Scientific Reports. 11(1). 5113–5113. 17 indexed citations
7.
Mayshar, Yoav, Saifeng Cheng, Raz Ben-Yair, et al.. (2021). A single-embryo, single-cell time-resolved model for mouse gastrulation. Cell. 184(11). 2825–2842.e22. 113 indexed citations
8.
Cheng, Saifeng, Yoav Mayshar, Aviezer Lifshitz, et al.. (2021). The Intrinsic and Extrinsic Effects of Tet Proteins During Gastrulation. SSRN Electronic Journal. 3 indexed citations
9.
Mayshar, Yoav, et al.. (2019). Modeling FXS: Human Pluripotent Stem Cells and In Vitro Neural Differentiation. Methods in molecular biology. 1942. 89–100. 3 indexed citations
10.
Ben‐Yosef, Dalit & Yoav Mayshar. (2019). Fragile-X Syndrome. Methods in molecular biology. 1 indexed citations
11.
Telias, Michael, Yoav Mayshar, Ami Amit, & Dalit Ben‐Yosef. (2015). Molecular Mechanisms Regulating Impaired Neurogenesis of Fragile X Syndrome Human Embryonic Stem Cells. Stem Cells and Development. 24(20). 2353–2365. 28 indexed citations
12.
Ben‐Zvi, Ayal, Baptiste Lacoste, Esther Kur, et al.. (2014). Mfsd2a is critical for the formation and function of the blood–brain barrier. Nature. 509(7501). 507–511. 748 indexed citations breakdown →
13.
Ben‐David, Uri, Yoav Mayshar, & Nissim Benvenisty. (2013). Virtual karyotyping of pluripotent stem cells on the basis of their global gene expression profiles. Nature Protocols. 8(5). 989–997. 36 indexed citations
14.
Ben‐David, Uri, Yoav Mayshar, & Nissim Benvenisty. (2012). Significant Acquisition of Chromosomal Aberrations in Human Adult Mesenchymal Stem Cells: Response to Sensebé et al.. Cell stem cell. 10(1). 10–11. 15 indexed citations
15.
Ben‐David, Uri, Yoav Mayshar, & Nissim Benvenisty. (2011). Large-Scale Analysis Reveals Acquisition of Lineage-Specific Chromosomal Aberrations in Human Adult Stem Cells. Cell stem cell. 9(2). 97–102. 197 indexed citations
16.
Mayshar, Yoav, Uri Ben‐David, Neta Lavon, et al.. (2010). Identification and Classification of Chromosomal Aberrations in Human Induced Pluripotent Stem Cells. Cell stem cell. 7(4). 521–531. 549 indexed citations breakdown →
17.
Mayshar, Yoav, Ofra Yanuka, & Nissim Benvenisty. (2010). Teratogen screening using transcriptome profiling of differentiating human embryonic stem cells. Journal of Cellular and Molecular Medicine. 15(6). 1393–1401. 33 indexed citations
19.
Darr, Henia, Yoav Mayshar, & Nissim Benvenisty. (2006). Overexpression of NANOG in human ES cells enables feeder-free growth while inducing primitive ectoderm features. Development. 133(6). 1193–1201. 166 indexed citations
20.
Dvash, Tamar, Yoav Mayshar, Henia Darr, et al.. (2004). Temporal gene expression during differentiation of human embryonic stem cells and embryoid bodies. Human Reproduction. 19(12). 2875–2883. 107 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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