Sasha F. Levy
- Aging top 5%
- Genetics top 2%
- Evolution and Genetic Dynamics 14
- Molecular Biology top 5%
- Fungal and yeast genetics research 13
- CRISPR and Genetic Engineering 10
- Bioinformatics and Genomic Networks 8
- Gene Regulatory Network Analysis 6
- RNA and protein synthesis mechanisms 5
- Genomics and Phylogenetic Studies 4
- Cancer Research top 10%
- Biophysics top 10%
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- Bacteriophages and microbial interactions 3
- Co-authors
- Mark L. SiegalJamie R. BlundellNaomi ZivGavin SherlockDaniel S. FisherDmitri A. PetrovSandeep VenkataramZhimin Liu
- Cited by
- AgingGeneticsMolecular Biology
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Sasha F. Levy
33 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 103
- Aging 79
- Genetics 795
- Molecular Biology 1.4k
- Cancer Research 195
- Biophysics 38
Countries citing papers authored by Sasha F. Levy
This map shows the geographic impact of Sasha F. Levy'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 Sasha F. Levy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sasha F. Levy more than expected).
Fields of papers citing papers by Sasha F. Levy
This network shows the impact of papers produced by Sasha F. Levy. 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 Sasha F. Levy. The network helps show where Sasha F. Levy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sasha F. Levy, 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 | 2024 | 4 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 9 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 27 | |
| 6 | 2021 | 39 | |
| 7 | 2020 | 16 | |
| 8 | 2019 | 25 | |
| 9 | 2019 | 78 | |
| 10 | 2018 | 58 | |
| 11 | 2017 | 28 | |
| 12 | 2016 | 55 | |
| 13 | Quantitative evolutionary dynamics of one million barcoded lineages | 2015 | 1 |
| 14 | 2015 | 268 | |
| 15 | 2014 | 58 | |
| 16 | 2013 | 35 | |
| 17 | 2012 | 37 | |
| 18 | 2008 | 38 | |
| 19 | 2007 | 153 | |
| 20 | 2005 | 85 |
About Sasha F. Levy
Sasha F. Levy is a scholar working on Genetics, Molecular Biology, Cell Biology, Biophysics and Paleontology, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (14 papers), Fungal and yeast genetics research (13 papers), CRISPR and Genetic Engineering (10 papers), Bioinformatics and Genomic Networks (8 papers), Gene Regulatory Network Analysis (6 papers), RNA and protein synthesis mechanisms (5 papers), Genomics and Phylogenetic Studies (4 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Aging (79 citations), Genetics (795 citations), Molecular Biology (1.4k citations), Cancer Research (195 citations) and Biophysics (38 citations). Sasha F. Levy has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Mark L. Siegal, Jamie R. Blundell, Naomi Ziv, Gavin Sherlock, Daniel S. Fisher, Dmitri A. Petrov, Sandeep Venkataram, Zhimin Liu, Benjamin Groves and Stuart C. Feinstein. Their work appears in journals such as Nature Communications, PLoS Biology, Nature, Cell Systems and Molecular Systems 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.