Michal Levo
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Gene Regulatory Network Analysis
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- Fungal and yeast genetics research
- Genetics top 10%
Papers in
-
- Genomics and Chromatin Dynamics 12
- RNA Research and Splicing 8
- RNA and protein synthesis mechanisms 5
- Gene Regulatory Network Analysis 3
- Fungal and yeast genetics research 3
- RNA modifications and cancer 2
- Epigenetics and DNA Methylation 2
- Co-authors
- Eran SegalTali Raveh-SadkaAdina WeinbergerThomas GregorEilon SharonLeeat KerenDanny ZeeviLev Barinov
- Journals
- Genome Research (4 papers)Nature Genetics (2 papers)Science (1 paper)Current Opinion in Genetics & Development (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Michal Levo
16 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 1.6k
- Genetics 273
- Aging 16
- Biophysics 48
- Plant Science 262
Countries citing papers authored by Michal Levo
This map shows the geographic impact of Michal Levo'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 Michal Levo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Levo more than expected).
Fields of papers citing papers by Michal Levo
This network shows the impact of papers produced by Michal Levo. 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 Michal Levo. The network helps show where Michal Levo may publish in the future.
Co-authors
The 25 scholars most cited alongside Michal Levo, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 127 | |
| 5 | 2022 | 98 | |
| 6 | 2020 | 4 | |
| 7 | 2018 | 318 | |
| 8 | 2017 | 40 | |
| 9 | 2015 | 108 | |
| 10 | 2014 | 167 | |
| 11 | 2013 | 47 | |
| 12 | 2012 | 351 | |
| 13 | 2012 | 162 | |
| 14 | 2011 | 39 | |
| 15 | 2009 | 78 | |
| 16 | 2008 | 154 |
About Michal Levo
Michal Levo is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Genetics, Computer Networks and Communications and Plant Science, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (12 papers), RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (5 papers), Gene Regulatory Network Analysis (3 papers), Fungal and yeast genetics research (3 papers), RNA modifications and cancer (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Genetics (273 citations), Aging (16 citations), Biophysics (48 citations) and Plant Science (262 citations). Michal Levo has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Eran Segal, Tali Raveh-Sadka, Adina Weinberger, Thomas Gregor, Eilon Sharon, Leeat Keren, Danny Zeevi, Lev Barinov, Miki Fujioka and Hongtao Chen. Their work appears in journals such as Genome Research, Nature Genetics, Science, Current Opinion in Genetics & Development and Nature Structural & Molecular 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.