Efrat Flashner-Abramson
Impact in
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- Cancer, Hypoxia, and Metabolism
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- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Cytokine Signaling Pathways and Interactions
Papers in
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- Bioinformatics and Genomic Networks 6
- Melanoma and MAPK Pathways 2
- RNA Interference and Gene Delivery 2
- Gene Regulatory Network Analysis 2
- Oncology 4
- Cytokine Signaling Pathways and Interactions 2
- HER2/EGFR in Cancer Research 2
- Co-authors
- Alexander Levitzki (6 shared papers)Shabnam Shalapour (1 shared paper)Koji Taniguchi (1 shared paper)Elsa Sánchez‐López (1 shared paper)Zhenyu Zhong (1 shared paper)Michael Karin (1 shared paper)Nataly Kravchenko‐Balasha (7 shared papers)Alexei Shir (3 shared papers)
- Journals
- Oncogene (2 papers)Proceedings of the National Academy of Sciences (2 papers)Theranostics (2 papers)Molecular Cancer Therapeutics (1 paper)npj Precision Oncology (1 paper)
- Partner nations
- IsraelUnited StatesEthiopia
In The Last Decade
Efrat Flashner-Abramson
13 papers receiving 397 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 85
- Oncology 134
- Immunology 65
- Molecular Biology 215
- Aging 5
Countries citing papers authored by Efrat Flashner-Abramson
This map shows the geographic impact of Efrat Flashner-Abramson'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 Efrat Flashner-Abramson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Efrat Flashner-Abramson more than expected).
Fields of papers citing papers by Efrat Flashner-Abramson
This network shows the impact of papers produced by Efrat Flashner-Abramson. 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 Efrat Flashner-Abramson. The network helps show where Efrat Flashner-Abramson may publish in the future.
Co-authors
The 25 scholars most cited alongside Efrat Flashner-Abramson, 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 | 2015 | 135 | |
| 2 | 2013 | 101 | |
| 3 | 2015 | 35 | |
| 4 | 2019 | 30 | |
| 5 | 2021 | 19 | |
| 6 | 2018 | 16 | |
| 7 | 2022 | 15 | |
| 8 | 2018 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2017 | 10 | |
| 11 | 2018 | 8 | |
| 12 | 2020 | 5 | |
| 13 | 2017 | 5 |
About Efrat Flashner-Abramson
Efrat Flashner-Abramson is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Computational Theory and Mathematics and Immunology, having authored 13 papers that have together received 406 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Computational Drug Discovery Methods (3 papers), Immunotherapy and Immune Responses (2 papers), Melanoma and MAPK Pathways (2 papers), RNA Interference and Gene Delivery (2 papers), Gene Regulatory Network Analysis (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Cancer Research (85 citations), Oncology (134 citations), Immunology (65 citations), Molecular Biology (215 citations) and Aging (5 citations). Efrat Flashner-Abramson has collaborated with scholars based in Israel, United States and Ethiopia. Frequent co-authors include Alexander Levitzki, Shabnam Shalapour, Koji Taniguchi, Elsa Sánchez‐López, Zhenyu Zhong, Michael Karin, Nataly Kravchenko‐Balasha, Alexei Shir, Menashe Bar‐Eli and Hadas Reuveni. Their work appears in journals such as Oncogene, Proceedings of the National Academy of Sciences, Theranostics, Molecular Cancer Therapeutics and npj Precision Oncology.
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.