Neta Agmon
Impact in
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- CRISPR and Genetic Engineering
- DNA Repair Mechanisms
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
Papers in ⓘ
-
- Fungal and yeast genetics research 7
- CRISPR and Genetic Engineering 6
- DNA Repair Mechanisms 5
- RNA and protein synthesis mechanisms 4
- Microbial Metabolic Engineering and Bioproduction 4
- Advanced biosensing and bioanalysis techniques 1
- Genomics and Phylogenetic Studies 1
- Genetics 3
- Co-authors
- Martin Kupiec (4 shared papers)Batia Liefshitz (3 shared papers)Jef D. Boeke (9 shared papers)Sarit Cohen (1 shared paper)Daniel Segal (1 shared paper)Yizhi Cai (4 shared papers)Emmanuelle Fabre (1 shared paper)Christophe Zimmer (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Nature Communications (2 papers)Proceedings of the National Academy of Sciences (2 papers)G3 Genes Genomes Genetics (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Neta Agmon
14 papers receiving 727 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 663
- Aging 12
- Biotechnology 45
- Plant Science 185
- Genetics 98
Countries citing papers authored by Neta Agmon
This map shows the geographic impact of Neta Agmon'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 Agmon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neta Agmon more than expected).
Fields of papers citing papers by Neta Agmon
This network shows the impact of papers produced by Neta Agmon. 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 Agmon. The network helps show where Neta Agmon may publish in the future.
Co-authors
The 25 scholars most cited alongside Neta Agmon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 102 | |
| 2 | 2013 | 92 | |
| 3 | 2015 | 85 | |
| 4 | 2020 | 70 | |
| 5 | 2015 | 63 | |
| 6 | 2015 | 52 | |
| 7 | 2009 | 51 | |
| 8 | 2010 | 46 | |
| 9 | 2011 | 45 | |
| 10 | 2018 | 38 | |
| 11 | 2017 | 31 | |
| 12 | 2017 | 27 | |
| 13 | 2021 | 19 | |
| 14 | 2019 | 12 | |
| 15 | 2025 | 0 |
About Neta Agmon
Neta Agmon is a scholar working on Molecular Biology, Genetics, Plant Science, Public Health, Environmental and Occupational Health and Cell Biology, having authored 15 papers that have together received 733 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (7 papers), CRISPR and Genetic Engineering (6 papers), DNA Repair Mechanisms (5 papers), RNA and protein synthesis mechanisms (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Chromosomal and Genetic Variations (3 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Molecular Biology (663 citations), Aging (12 citations), Biotechnology (45 citations), Plant Science (185 citations) and Genetics (98 citations). Neta Agmon has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Martin Kupiec, Batia Liefshitz, Jef D. Boeke, Sarit Cohen, Daniel Segal, Yizhi Cai, Emmanuelle Fabre, Christophe Zimmer, Leslie A. Mitchell and Joel S. Bader. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Proceedings of the National Academy of Sciences, G3 Genes Genomes Genetics and Nature Cell Biology.
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.