Erel Levine
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 5%
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
Papers in
-
- RNA and protein synthesis mechanisms 9
- RNA Research and Splicing 4
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 3
- Aging 10
- Genetics, Aging, and Longevity in Model Organisms 10
- Co-authors
- Eytan Domany (3 shared papers)Gad Getz (2 shared papers)Terence Hwa (4 shared papers)Zhongge Zhang (2 shared papers)Thomas E. Kuhlman (2 shared papers)Neil Peterman (4 shared papers)Herbert Levine (2 shared papers)Kyung Suk Lee (7 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)PLoS Computational Biology (3 papers)Nucleic Acids Research (2 papers)Biophysical Journal (2 papers)PLoS Biology (2 papers)
- Partner nations
- United StatesIsraelSouth Korea
In The Last Decade
Erel Levine
34 papers receiving 2.0k citations
Erel Levine's Hit Papers
Peers
Comparison fields: 5 of 144
- Aging 236
- Molecular Biology 1.4k
- Endocrine and Autonomic Systems 126
- Genetics 361
- Cancer Research 168
Countries citing papers authored by Erel Levine
This map shows the geographic impact of Erel Levine'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 Erel Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erel Levine more than expected).
Fields of papers citing papers by Erel Levine
This network shows the impact of papers produced by Erel Levine. 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 Erel Levine. The network helps show where Erel Levine may publish in the future.
Co-authors
The 25 scholars most cited alongside Erel Levine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Coupled two-way clustering analysis of gene microarray data Hit paper breakdown → | 2000 | 545 |
| 2 | 2007 | 305 | |
| 3 | 2001 | 180 | |
| 4 | 2012 | 135 | |
| 5 | 2008 | 103 | |
| 6 | 2007 | 102 | |
| 7 | 2007 | 82 | |
| 8 | 2017 | 65 | |
| 9 | 2016 | 61 | |
| 10 | 2015 | 56 | |
| 11 | 2014 | 51 | |
| 12 | 2007 | 46 | |
| 13 | 2002 | 45 | |
| 14 | 2000 | 42 | |
| 15 | 2013 | 41 | |
| 16 | 2016 | 36 | |
| 17 | 2014 | 30 | |
| 18 | 2016 | 28 | |
| 19 | 2011 | 28 | |
| 20 | 2013 | 20 |
About Erel Levine
Erel Levine is a scholar working on Molecular Biology, Aging, Genetics, Ecology and Endocrine and Autonomic Systems, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (10 papers), RNA and protein synthesis mechanisms (9 papers), Bacteriophages and microbial interactions (6 papers), Bacterial Genetics and Biotechnology (5 papers), RNA Research and Splicing (4 papers), Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (3 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Aging (236 citations), Molecular Biology (1.4k citations), Endocrine and Autonomic Systems (126 citations), Genetics (361 citations) and Cancer Research (168 citations). Erel Levine has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Eytan Domany, Gad Getz, Terence Hwa, Zhongge Zhang, Thomas E. Kuhlman, Neil Peterman, Herbert Levine, Kyung Suk Lee, David Biron and Cecilia D’Alterio. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS Computational Biology, Nucleic Acids Research, Biophysical Journal and PLoS Biology.
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.