Noa Furth
Impact in
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
- Endoplasmic Reticulum Stress and Disease
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- Cancer-related molecular mechanisms research
Papers in
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- Epigenetics and DNA Methylation 10
- Histone Deacetylase Inhibitors Research 3
- Genomics and Chromatin Dynamics 3
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- Hippo pathway signaling and YAP/TAZ 6
- Endoplasmic Reticulum Stress and Disease 3
- Microtubule and mitosis dynamics 3
- Co-authors
- Yael Aylon (7 shared papers)Moshe Oren (10 shared papers)Efrat Shema (10 shared papers)Walter E. Aulitzky (2 shared papers)Nishanth Belugali Nataraj (2 shared papers)Benjamin Geiger (1 shared paper)Heiko van der Kuip (1 shared paper)Sharathchandra Arandkar (1 shared paper)
- Journals
- Cell Death and Differentiation (3 papers)Proceedings of the National Academy of Sciences (2 papers)Genes & Development (2 papers)eLife (2 papers)Nature Communications (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Noa Furth
20 papers receiving 709 citations
Peers
Comparison fields: 5 of 78
- Cell Biology 260
- Cancer Research 134
- Oncology 172
- Molecular Biology 445
- Genetics 42
Countries citing papers authored by Noa Furth
This map shows the geographic impact of Noa Furth'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 Noa Furth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noa Furth more than expected).
Fields of papers citing papers by Noa Furth
This network shows the impact of papers produced by Noa Furth. 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 Noa Furth. The network helps show where Noa Furth may publish in the future.
Co-authors
The 25 scholars most cited alongside Noa Furth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 184 | |
| 2 | 2018 | 93 | |
| 3 | 2017 | 68 | |
| 4 | 2022 | 61 | |
| 5 | 2015 | 59 | |
| 6 | 2011 | 53 | |
| 7 | 2017 | 47 | |
| 8 | 2022 | 32 | |
| 9 | 2018 | 27 | |
| 10 | 2022 | 24 | |
| 11 | 2017 | 18 | |
| 12 | 2016 | 17 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2016 | 1 |
About Noa Furth
Noa Furth is a scholar working on Molecular Biology, Cell Biology, Genetics, Oncology and Infectious Diseases, having authored 21 papers that have together received 711 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), Hippo pathway signaling and YAP/TAZ (6 papers), Cancer-related Molecular Pathways (4 papers), Glioma Diagnosis and Treatment (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Microtubule and mitosis dynamics (3 papers), Histone Deacetylase Inhibitors Research (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Cell Biology (260 citations), Cancer Research (134 citations), Oncology (172 citations), Molecular Biology (445 citations) and Genetics (42 citations). Noa Furth has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Yael Aylon, Moshe Oren, Efrat Shema, Walter E. Aulitzky, Nishanth Belugali Nataraj, Benjamin Geiger, Heiko van der Kuip, Sharathchandra Arandkar, Yosef Yarden and Igor Ulitsky. Their work appears in journals such as Cell Death and Differentiation, Proceedings of the National Academy of Sciences, Genes & Development, eLife and Nature Communications.
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.