Yaron Mazor
Impact in
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- Traditional Chinese Medicine Analysis
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
- Genetics 4
- Genomics and Rare Diseases 4
- Mesenchymal stem cell research 1
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- Biomedical Text Mining and Ontologies 2
- Bioinformatics and Genomic Networks 2
- Pluripotent Stem Cells Research 1
- RNA Research and Splicing 1
- Genomics and Phylogenetic Studies 1
- Co-authors
- Doron Lancet (5 shared papers)Marilyn Safran (5 shared papers)Yaron Guan‐Golan (3 shared papers)Simon Fishilevich (3 shared papers)Tsippi Iny Stein (3 shared papers)Noa Rappaport (3 shared papers)Gil Stelzer (3 shared papers)Inbar Plaschkes (2 shared papers)
- Journals
- Israel Journal of Chemistry (1 paper)Current Protocols in Bioinformatics (1 paper)PLoS ONE (1 paper)Regenerative Medicine (1 paper)BMC Genomics (1 paper)
- Partner nations
- IsraelUnited StatesChina
In The Last Decade
Yaron Mazor
8 papers receiving 4.5k citations
Yaron Mazor's Hit Papers
Peers
Comparison fields: 5 of 124
- Complementary and alternative medicine 512
- Computational Theory and Mathematics 853
- Cancer Research 295
- Genetics 559
- Molecular Biology 1.1k
Countries citing papers authored by Yaron Mazor
This map shows the geographic impact of Yaron Mazor'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 Yaron Mazor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaron Mazor more than expected).
Fields of papers citing papers by Yaron Mazor
This network shows the impact of papers produced by Yaron Mazor. 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 Yaron Mazor. The network helps show where Yaron Mazor may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaron Mazor, 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 | The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses Hit paper breakdown → | 2016 | 3808 |
| 2 | 2016 | 193 | |
| 3 | 2016 | 187 | |
| 4 | 2014 | 143 | |
| 5 | 2021 | 88 | |
| 6 | 2013 | 78 | |
| 7 | 2019 | 40 | |
| 8 | 2013 | 6 |
About Yaron Mazor
Yaron Mazor is a scholar working on Genetics, Molecular Biology, Genetics, Cancer Research and Nuclear Energy and Engineering, having authored 8 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (4 papers), Biomedical Text Mining and Ontologies (2 papers), Bioinformatics and Genomic Networks (2 papers), Pluripotent Stem Cells Research (1 paper), Mesenchymal stem cell research (1 paper), Cancer-related molecular mechanisms research (1 paper), RNA Research and Splicing (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Complementary and alternative medicine (512 citations), Computational Theory and Mathematics (853 citations), Cancer Research (295 citations), Genetics (559 citations) and Molecular Biology (1.1k citations). Yaron Mazor has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Doron Lancet, Marilyn Safran, Yaron Guan‐Golan, Simon Fishilevich, Tsippi Iny Stein, Noa Rappaport, Gil Stelzer, Inbar Plaschkes, Asher Kohn and Sergey Kaplan. Their work appears in journals such as Israel Journal of Chemistry, Current Protocols in Bioinformatics, PLoS ONE, Regenerative Medicine and BMC Genomics.
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.