Neta Lavon

3.6k citations
27 papers · 2.9k · 3 hit papers · h-index 16

Impact in

Papers in

Neta Lavon

26 papers receiving 2.7k citations

Neta Lavon's Hit Papers

Textured soy protein scaffolds enable the generation of three-dimensional bovine skeletal muscle tissue for cell-based meat 2020 · 331 citations
3310+5+11Years since publication250500750

Peers

Neta Lavon
Comparison fields: 5 of 99
  • Molecular Biology 2.0k
  • Hepatology 177
  • Developmental Neuroscience 81
  • Animal Science and Zoology 167
  • Genetics 139
Replace Mark Ungrin with:
Mark Ungrin Canada
Pingnan Sun China
Joo‐Yeon Yoo South Korea
Luhan Yang United States
Muneef Ayyash Israel
Erik P. Willems United States
Jianyong Han China
Irwin R. Konigsberg United States
Christophe Fuerer Switzerland
David A. Brafman United States
Neta Lavon relative to Mark Ungrin Canada Mark Ungrin's profile →
Citations per field
00.5×5×10×13.9×
Mark Ungrin · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Neta Lavon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Neta Lavon Line = papers co-authored together Neta Lavon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Induced Pluripotent Stem Cells and Embryonic Stem Cells Are Distinguished by Gene Expression Signatures
Hit paper breakdown →
2009828
2
Identification and Classification of Chromosomal Aberrations in Human Induced Pluripotent Stem Cells
Hit paper breakdown →
2010613
3
Textured soy protein scaffolds enable the generation of three-dimensional bovine skeletal muscle tissue for cell-based meat
Hit paper breakdown →
2020331
4 2004211
5 2022185
6 2005106
7 202279
8 201078
9 200677
10 200861
11 201861
12 201054
13 202349
14 202426
15 200319
16 201018
17 201713
18 201712
19 202311
20 20249

About Neta Lavon

Neta Lavon is a scholar working on Molecular Biology, Animal Science and Zoology, Ecology, Genetics and Automotive Engineering, having authored 27 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (11 papers), Agriculture Sustainability and Environmental Impact (6 papers), Animal Genetics and Reproduction (4 papers), Meat and Animal Product Quality (4 papers), Renal and related cancers (4 papers), 3D Printing in Biomedical Research (4 papers) and Congenital heart defects research (3 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Hepatology (177 citations), Developmental Neuroscience (81 citations), Animal Science and Zoology (167 citations) and Genetics (139 citations). Neta Lavon has collaborated with scholars based in Israel, United States and Denmark. Frequent co-authors include Nissim Benvenisty, Shulamit Levenberg, Ofra Yanuka, Yedidya Zagury, Amander T. Clark, William E. Lowry, Yoav Mayshar, Kathrin Plath, Benjamin Yakir and Uri Ben‐David. Their work appears in journals such as Stem Cells, Cell stem cell, Advances in biochemical engineering, biotechnology, Advanced Sustainable Systems and Trends in biotechnology.

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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