Yaara Oren
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Endocrinology top 5%
- Escherichia coli research studies
Papers in
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- Cancer Genomics and Diagnostics 3
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- Single-cell and spatial transcriptomics 7
- Genomics and Phylogenetic Studies 2
- CRISPR and Genetic Engineering 1
- Co-authors
- Aviv Regev (2 shared papers)Karin Pelka (1 shared paper)William H. Ge (1 shared paper)Jacob C. Ulirsch (1 shared paper)Jason Daniel Buenrostro (1 shared paper)Vijay G. Sankaran (1 shared paper)Christopher Rodman (1 shared paper)Genevieve Marie Boland (1 shared paper)
- Journals
- mBio (2 papers)Nature (2 papers)Nature reviews. Cancer (2 papers)Molecular Systems Biology (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Yaara Oren
13 papers receiving 2.0k citations
Yaara Oren's Hit Papers
Peers
Comparison fields: 5 of 108
- Cancer Research 521
- Endocrinology 149
- Molecular Medicine 135
- Oncology 428
- Biophysics 95
Countries citing papers authored by Yaara Oren
This map shows the geographic impact of Yaara Oren'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 Yaara Oren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaara Oren more than expected).
Fields of papers citing papers by Yaara Oren
This network shows the impact of papers produced by Yaara Oren. 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 Yaara Oren. The network helps show where Yaara Oren may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaara Oren, 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 | Genetic and transcriptional evolution alters cancer cell line drug response Hit paper breakdown → | 2018 | 653 |
| 2 | 2019 | 384 | |
| 3 | Cycling cancer persister cells arise from lineages with distinct programs Hit paper breakdown → | 2021 | 334 |
| 4 | 2016 | 154 | |
| 5 | 2020 | 113 | |
| 6 | Cancer drug-tolerant persister cells: from biological questions to clinical opportunities Hit paper breakdown → | 2024 | 95 |
| 7 | 2022 | 85 | |
| 8 | 2015 | 63 | |
| 9 | 2014 | 50 | |
| 10 | 2014 | 47 | |
| 11 | 2024 | 11 | |
| 12 | 2024 | 9 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 0 | |
| 15 | 2026 | 0 |
About Yaara Oren
Yaara Oren is a scholar working on Cancer Research, Molecular Biology, Biotechnology, Endocrinology and Biophysics, having authored 15 papers that have together received 2.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Cancer Genomics and Diagnostics (3 papers), Genomics and Phylogenetic Studies (2 papers), Cancer Cells and Metastasis (2 papers), Cancer Research and Treatments (2 papers), Bacterial Genetics and Biotechnology (2 papers), Bacteriophages and microbial interactions (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Cancer Research (521 citations), Endocrinology (149 citations), Molecular Medicine (135 citations), Oncology (428 citations) and Biophysics (95 citations). Yaara Oren has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Aviv Regev, Karin Pelka, William H. Ge, Jacob C. Ulirsch, Jason Daniel Buenrostro, Vijay G. Sankaran, Christopher Rodman, Genevieve Marie Boland, Leif S. Ludwig and Christoph Muus. Their work appears in journals such as mBio, Nature, Nature reviews. Cancer, Molecular Systems Biology and Cancer Discovery.
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.