Galit Lev-Maor
Impact in
- Molecular Biology top 5%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA regulation and disease
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 17
- RNA and protein synthesis mechanisms 13
- RNA modifications and cancer 12
- Genomics and Chromatin Dynamics 5
- RNA regulation and disease 3
- Epigenetics and DNA Methylation 1
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- MicroRNA in disease regulation 2
- Co-authors
- Gil Ast (19 shared papers)Hadas Keren (3 shared papers)Rotem Sorek (3 shared papers)Noam Shomron (1 shared paper)Amir Goren (5 shared papers)Tal Pupko (3 shared papers)Noa Sela (3 shared papers)Maayan Amit (3 shared papers)
- Journals
- Molecular Cell (4 papers)Cell Reports (2 papers)Genome Research (2 papers)Genome biology (2 papers)PLoS Genetics (2 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Galit Lev-Maor
21 papers receiving 2.9k citations
Galit Lev-Maor's Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 2.4k
- Cancer Research 351
- Plant Science 402
- Genetics 258
- Genetics 55
Countries citing papers authored by Galit Lev-Maor
This map shows the geographic impact of Galit Lev-Maor'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 Galit Lev-Maor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Galit Lev-Maor more than expected).
Fields of papers citing papers by Galit Lev-Maor
This network shows the impact of papers produced by Galit Lev-Maor. 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 Galit Lev-Maor. The network helps show where Galit Lev-Maor may publish in the future.
Co-authors
The 25 scholars most cited alongside Galit Lev-Maor, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Alternative splicing and evolution: diversification, exon definition and function Hit paper breakdown → | 2010 | 803 |
| 2 | 2003 | 353 | |
| 3 | 2006 | 250 | |
| 4 | 2012 | 222 | |
| 5 | 2007 | 194 | |
| 6 | 2007 | 167 | |
| 7 | 2004 | 141 | |
| 8 | 2004 | 134 | |
| 9 | 2008 | 123 | |
| 10 | 2019 | 96 | |
| 11 | 2005 | 83 | |
| 12 | 2013 | 82 | |
| 13 | 2015 | 79 | |
| 14 | 2007 | 71 | |
| 15 | 2007 | 55 | |
| 16 | 2016 | 50 | |
| 17 | 2016 | 39 | |
| 18 | 2013 | 23 | |
| 19 | 2007 | 11 | |
| 20 | 2023 | 11 |
About Galit Lev-Maor
Galit Lev-Maor is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Surgery and Epidemiology, having authored 21 papers that have together received 3.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (17 papers), RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (12 papers), Genomics and Chromatin Dynamics (5 papers), RNA regulation and disease (3 papers), MicroRNA in disease regulation (2 papers), Tuberculosis Research and Epidemiology (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Molecular Biology (2.4k citations), Cancer Research (351 citations), Plant Science (402 citations), Genetics (258 citations) and Genetics (55 citations). Galit Lev-Maor has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Gil Ast, Hadas Keren, Rotem Sorek, Noam Shomron, Amir Goren, Tal Pupko, Noa Sela, Maayan Amit, Oren Ram and Erez Y. Levanon. Their work appears in journals such as Molecular Cell, Cell Reports, Genome Research, Genome biology and PLoS Genetics.
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.