Raya Khanin
Impact in
- Cancer Research top 0.2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 0.5%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
-
- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 8
- Co-authors
- Zhuo FangMatthias SelbachNikolaus RajewskyBjörn SchwanhäußerAgnès VialeEric G. PamerErnst C. WitAsia Gobourne
- Journals
- Clinical Cancer Research (3 papers)PLoS ONE (3 papers)Nature (2 papers)Journal of Computational Biology (2 papers)Genes Chromosomes and Cancer (2 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Raya Khanin
65 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Cancer Research 3.9k
- Molecular Biology 6.3k
- Ophthalmology 645
- Genetics 674
- Oncology 1.7k
Countries citing papers authored by Raya Khanin
This map shows the geographic impact of Raya Khanin'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 Raya Khanin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raya Khanin more than expected).
Fields of papers citing papers by Raya Khanin
This network shows the impact of papers produced by Raya Khanin. 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 Raya Khanin. The network helps show where Raya Khanin may publish in the future.
Co-authors
The 25 scholars most cited alongside Raya Khanin, 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 | 2020 | 12 | |
| 2 | 2017 | 23 | |
| 3 | 2015 | 5 | |
| 4 | 2014 | 23 | |
| 5 | 2014 | 89 | |
| 6 | Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data Hit paper breakdown → | 2013 | 491 |
| 7 | 2013 | 88 | |
| 8 | 2012 | 132 | |
| 9 | 2012 | 80 | |
| 10 | Periodontal disease and the oral microbiota in new‐onset rheumatoid arthritis Hit paper breakdown → | 2012 | 351 |
| 11 | 2012 | 251 | |
| 12 | 2011 | 235 | |
| 13 | 2011 | 98 | |
| 14 | 2010 | 287 | |
| 15 | 2010 | 45 | |
| 16 | 2007 | 30 | |
| 17 | 2006 | 159 | |
| 18 | Reconstructing repressor protein levels from expression of gene targets in E. Coli. | 2006 | 2 |
| 19 | Applying the perturbation method of multiple scales | 1999 | 2 |
| 20 | 1997 | 9 |
About Raya Khanin
Raya Khanin is a scholar working on Nuclear Energy and Engineering, Cancer Research, Numerical Analysis, Molecular Biology and Cellular and Molecular Neuroscience, having authored 67 papers that have together received 9.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), Gene Regulatory Network Analysis (9 papers), MicroRNA in disease regulation (8 papers), Gene expression and cancer classification (5 papers), Lipid Membrane Structure and Behavior (5 papers), Photoreceptor and optogenetics research (4 papers), Bioinformatics and Genomic Networks (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (3.9k citations), Molecular Biology (6.3k citations), Ophthalmology (645 citations), Genetics (674 citations) and Oncology (1.7k citations). Raya Khanin has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Zhuo Fang, Matthias Selbach, Nikolaus Rajewsky, Björn Schwanhäußer, Agnès Viale, Eric G. Pamer, Ernst C. Wit, Asia Gobourne, Ari Melnick and Craig B. Thompson. Their work appears in journals such as Clinical Cancer Research, PLoS ONE, Nature, Journal of Computational Biology and Genes Chromosomes and Cancer.
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.