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
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- Fungal and yeast genetics research 7
- CRISPR and Genetic Engineering 6
- DNA Repair Mechanisms 4
- Microbial Metabolic Engineering and Bioproduction 4
- RNA and protein synthesis mechanisms 4
- Genetics 2
- Co-authors
- Martin Kupiec (4 shared papers)Batia Liefshitz (3 shared papers)Jef D. Boeke (9 shared papers)Daniel Segal (1 shared paper)Sarit Cohen (1 shared paper)Yizhi Cai (4 shared papers)Christophe Zimmer (1 shared paper)Emmanuelle Fabre (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (2 papers)PLoS Genetics (1 paper)G3 Genes Genomes Genetics (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Neta Agmon
14 papers receiving 752 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 660
- Aging 12
- Biotechnology 43
- Plant Science 186
- Genetics 95
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 | 104 | |
| 2 | 2013 | 94 | |
| 3 | 2015 | 89 | |
| 4 | 2020 | 72 | |
| 5 | 2015 | 66 | |
| 6 | 2015 | 56 | |
| 7 | 2009 | 52 | |
| 8 | 2011 | 46 | |
| 9 | 2010 | 46 | |
| 10 | 2018 | 40 | |
| 11 | 2017 | 32 | |
| 12 | 2017 | 29 | |
| 13 | 2021 | 19 | |
| 14 | 2019 | 13 | |
| 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 758 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (7 papers), CRISPR and Genetic Engineering (6 papers), DNA Repair Mechanisms (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), RNA and protein synthesis mechanisms (4 papers), Chromosomal and Genetic Variations (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Science, Research, and Medicine (1 paper). The work is most often cited by research in Molecular Biology (660 citations), Aging (12 citations), Biotechnology (43 citations), Plant Science (186 citations) and Genetics (95 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, Daniel Segal, Sarit Cohen, Yizhi Cai, Christophe Zimmer, Emmanuelle Fabre, Leslie A. Mitchell and Giovanni Stracquadanio. Their work appears in journals such as Nucleic Acids Research, Proceedings of the National Academy of Sciences, Nature Communications, PLoS Genetics and G3 Genes Genomes Genetics.
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.