Yael Korem
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- CRISPR and Genetic Engineering
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
Papers in
-
- Bioinformatics and Genomic Networks 2
- Single-cell and spatial transcriptomics 2
- Genomics and Phylogenetic Studies 1
- Genetics 2
- Nutrition, Genetics, and Disease 1
- Evolution and Genetic Dynamics 1
- Co-authors
- Uri Alon (5 shared papers)Hila Sheftel (3 shared papers)Avi Mayo (4 shared papers)Pablo Székely (4 shared papers)Jean Hausser (3 shared papers)Yuval Hart (3 shared papers)Anat Bren (1 shared paper)Benjamin D. Towbin (1 shared paper)
- Journals
- Nature Communications (2 papers)PLoS Computational Biology (2 papers)Molecular Biology and Evolution (1 paper)Nature Methods (1 paper)Cell (1 paper)
- Partner nations
- IsraelUnited StatesSweden
In The Last Decade
Yael Korem
7 papers receiving 410 citations
Peers
Comparison fields: 5 of 88
- Aging 64
- Molecular Biology 282
- Genetics 85
- Biophysics 12
- Modeling and Simulation 8
Countries citing papers authored by Yael Korem
This map shows the geographic impact of Yael Korem'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 Yael Korem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yael Korem more than expected).
Fields of papers citing papers by Yael Korem
This network shows the impact of papers produced by Yael Korem. 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 Yael Korem. The network helps show where Yael Korem may publish in the future.
Co-authors
The 25 scholars most cited alongside Yael Korem, 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 | 111 | |
| 2 | 2016 | 106 | |
| 3 | 2017 | 89 | |
| 4 | 2015 | 56 | |
| 5 | 2015 | 34 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 6 |
About Yael Korem
Yael Korem is a scholar working on Molecular Biology, Genetics, Aging, Paleontology and Ecology, Evolution, Behavior and Systematics, having authored 7 papers that have together received 413 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Single-cell and spatial transcriptomics (2 papers), Nutrition, Genetics, and Disease (1 paper), Interdisciplinary Research and Collaboration (1 paper), Genomics and Phylogenetic Studies (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Evolution and Genetic Dynamics (1 paper). The work is most often cited by research in Aging (64 citations), Molecular Biology (282 citations), Genetics (85 citations), Biophysics (12 citations) and Modeling and Simulation (8 citations). Yael Korem has collaborated with scholars based in Israel, United States and Sweden. Frequent co-authors include Uri Alon, Hila Sheftel, Avi Mayo, Pablo Székely, Jean Hausser, Yuval Hart, Anat Bren, Benjamin D. Towbin, Rotem Sorek and Shany Doron. Their work appears in journals such as Nature Communications, PLoS Computational Biology, Molecular Biology and Evolution, Nature Methods and Cell.
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.