Neta Lavon

3.4k total citations · 2 hit papers
24 papers, 1.8k citations indexed

About

Neta Lavon is a scholar working on Molecular Biology, Ecology and Animal Science and Zoology. According to data from OpenAlex, Neta Lavon has authored 24 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Ecology and 4 papers in Animal Science and Zoology. Recurrent topics in Neta Lavon's work include Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (9 papers) and Agriculture Sustainability and Environmental Impact (5 papers). Neta Lavon is often cited by papers focused on Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (9 papers) and Agriculture Sustainability and Environmental Impact (5 papers). Neta Lavon collaborates with scholars based in Israel, United States and Denmark. Neta Lavon's co-authors include Nissim Benvenisty, Ofra Yanuka, Shulamit Levenberg, Yedidya Zagury, Amander T. Clark, Uri Ben‐David, Benjamin Yakir, William E. Lowry, Yoav Mayshar and Kathrin Plath and has published in prestigious journals such as PLoS ONE, Biomaterials and Food Chemistry.

In The Last Decade

Neta Lavon

23 papers receiving 1.7k citations

Hit Papers

Identification and Classification of Chromosomal Aberrati... 2010 2026 2015 2020 2010 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neta Lavon Israel 15 1.1k 369 337 279 220 24 1.8k
Yulia Shandalov Israel 17 533 0.5× 482 1.3× 424 1.3× 81 0.3× 131 0.6× 20 1.3k
Shira Landau Israel 21 423 0.4× 673 1.8× 399 1.2× 89 0.3× 150 0.7× 32 1.4k
Douglas C. McFarland United States 27 1.4k 1.2× 121 0.3× 424 1.3× 499 1.8× 218 1.0× 93 2.1k
Shahar Ben‐Shaul Israel 7 490 0.4× 314 0.9× 196 0.6× 59 0.2× 122 0.6× 9 1.0k
Takanori Nishimura Japan 26 998 0.9× 148 0.4× 213 0.6× 254 0.9× 69 0.3× 96 2.4k
David B. Berry United States 22 829 0.7× 396 1.1× 260 0.8× 92 0.3× 46 0.2× 56 2.1k
Qian Xue China 23 573 0.5× 289 0.8× 80 0.2× 190 0.7× 17 0.1× 61 1.4k
Soon Chul Heo South Korea 25 620 0.5× 125 0.3× 201 0.6× 39 0.1× 37 0.2× 59 1.4k
Paul J. Verma Australia 26 1.4k 1.2× 277 0.8× 272 0.8× 466 1.7× 21 0.1× 93 2.0k
Kristel J.M. Boonen Netherlands 13 348 0.3× 265 0.7× 260 0.8× 70 0.3× 110 0.5× 21 752

Countries citing papers authored by Neta Lavon

Since Specialization
Citations

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

Fields of papers citing papers by Neta Lavon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neta Lavon

This figure shows the co-authorship network connecting the top 25 collaborators of Neta Lavon. A scholar is included among the top collaborators of Neta Lavon 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 Neta Lavon. Neta Lavon 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.
Mehmood, Waris, et al.. (2025). Intra-myocellular lipid enrichment of differentiated bovine satellite cells through beef-like fatty acid mixtures. Sustainable Food Technology. 4(2). 1648–1658.
2.
Mehmood, Waris, et al.. (2025). Postharvest changes in bovine satellite cells in vitro resemble postmortem conversion of muscle to meat. Food Chemistry. 483. 144292–144292. 1 indexed citations
3.
Zagury, Yedidya, et al.. (2024). Embedded three-dimensional printing of thick pea-protein-enriched constructs for large, customized structured cell-based meat production. Biofabrication. 16(4). 45023–45023. 6 indexed citations
4.
Maor-Shoshani, Ayelet, et al.. (2023). Co-culture approaches for cultivated meat production. Nature Reviews Bioengineering. 1(11). 817–831. 38 indexed citations
5.
Zehorai, Eldar, et al.. (2023). From fertilised oocyte to cultivated meat – harnessing bovine embryonic stem cells in the cultivated meat industry. Reproduction Fertility and Development. 36(2). 124–132. 8 indexed citations
6.
Zagury, Yedidya, et al.. (2022). 3D-printable plant protein-enriched scaffolds for cultivated meat development. Biomaterials. 284. 121487–121487. 149 indexed citations
7.
Zagury, Yedidya, et al.. (2022). Engineered marble-like bovine fat tissue for cultured meat. Communications Biology. 5(1). 927–927. 62 indexed citations
8.
Lavon, Neta. (2022). New technologies for cultivated meat production. Trends in biotechnology. 40(5). 632–633. 6 indexed citations
9.
Ben‐Arye, Tom, Yulia Shandalov, Shahar Ben‐Shaul, et al.. (2020). Textured soy protein scaffolds enable the generation of three-dimensional bovine skeletal muscle tissue for cell-based meat. Nature Food. 1(4). 210–220. 290 indexed citations breakdown →
10.
Izrael, Michal, Shalom Guy Slutsky, Arik Hasson, et al.. (2018). Safety and efficacy of human embryonic stem cell-derived astrocytes following intrathecal transplantation in SOD1G93A and NSG animal models. Stem Cell Research & Therapy. 9(1). 152–152. 52 indexed citations
11.
Lavon, Neta, et al.. (2017). Scalable Expansion of Pluripotent Stem Cells. Advances in biochemical engineering, biotechnology. 163. 23–37. 12 indexed citations
12.
Ramot, Yuval, Yael S. Schiffenbauer, Nathan Ezov, et al.. (2017). Compact MRI for the detection of teratoma development following intrathecal human embryonic stem cell injection in NOD-SCID mice. NeuroToxicology. 59. 27–32. 11 indexed citations
13.
Lavon, Neta, et al.. (2012). Derivation, Expansion, and Characterization of Human Embryonic Stem Cell Lines from Aneuploid Embryos. Methods in molecular biology. 873. 163–178. 3 indexed citations
14.
Narwani, Kavita, Tamar Golan‐Lev, David Hill, et al.. (2010). Human embryonic stem cells from aneuploid blastocysts identified by pre-implantation genetic screening. In Vitro Cellular & Developmental Biology - Animal. 46(3-4). 309–316. 18 indexed citations
15.
Lavon, Neta. (2010). Generation of Hepatocytes from Human Embryonic Stem Cells. Methods in molecular biology. 640. 237–246. 8 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.
Dvash, Tamar, Neta Lavon, & Guoping Fan. (2010). Variations of X Chromosome Inactivation Occur in Early Passages of Female Human Embryonic Stem Cells. PLoS ONE. 5(6). e11330–e11330. 50 indexed citations
18.
Lavon, Neta & Nissim Benvenisty. (2005). Study of hepatocyte differentiation using embryonic stem cells. Journal of Cellular Biochemistry. 96(6). 1193–1202. 99 indexed citations
19.
Lavon, Neta, Ofra Yanuka, & Nissim Benvenisty. (2004). Differentiation and isolation of hepatic-like cells from human embryonic stem cells. Differentiation. 72(5). 230–238. 186 indexed citations
20.
Lavon, Neta. (2003). Differentiation and Genetic Manipulation of Human Embryonic Stem Cells and the Analysis of the Cardiovascular System. Trends in Cardiovascular Medicine. 13(2). 47–52. 20 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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