Sagi Levy
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
-
- Fungal and yeast genetics research 4
- Bioinformatics and Genomic Networks 2
- Gene Regulatory Network Analysis 2
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
- Co-authors
- Naama Barkai (6 shared papers)Cornelia I. Bargmann (3 shared papers)Steven W. Flavell (2 shared papers)Miri Carmi (4 shared papers)Navin Pokala (1 shared paper)Andrew Gordus (1 shared paper)Gustavo J. Melen (1 shared paper)Ben‐Zion Shilo (1 shared paper)
- Journals
- Molecular Systems Biology (1 paper)Advances in experimental medicine and biology (1 paper)Cell Reports (1 paper)Current Biology (1 paper)Neuron (1 paper)
- Partner nations
- IsraelUnited StatesAustria
In The Last Decade
Sagi Levy
11 papers receiving 552 citations
Peers
Comparison fields: 5 of 89
- Aging 170
- Endocrine and Autonomic Systems 118
- Cellular and Molecular Neuroscience 109
- Molecular Biology 287
- Biophysics 17
Countries citing papers authored by Sagi Levy
This map shows the geographic impact of Sagi 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 Sagi Levy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sagi Levy more than expected).
Fields of papers citing papers by Sagi Levy
This network shows the impact of papers produced by Sagi 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 Sagi Levy. The network helps show where Sagi Levy may publish in the future.
Co-authors
The 25 scholars most cited alongside Sagi 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 | 2015 | 167 | |
| 2 | 2005 | 81 | |
| 3 | 2007 | 64 | |
| 4 | 2011 | 64 | |
| 5 | 2017 | 38 | |
| 6 | 2009 | 35 | |
| 7 | 1976 | 31 | |
| 8 | 2013 | 28 | |
| 9 | 2019 | 23 | |
| 10 | 2014 | 21 | |
| 11 | 2019 | 11 |
About Sagi Levy
Sagi Levy is a scholar working on Molecular Biology, Aging, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Plant Science, having authored 11 papers that have together received 563 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Circadian rhythm and melatonin (3 papers), Bioinformatics and Genomic Networks (2 papers), Photoreceptor and optogenetics research (2 papers), Gene Regulatory Network Analysis (2 papers), Plant nutrient uptake and metabolism (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Aging (170 citations), Endocrine and Autonomic Systems (118 citations), Cellular and Molecular Neuroscience (109 citations), Molecular Biology (287 citations) and Biophysics (17 citations). Sagi Levy has collaborated with scholars based in Israel, United States and Austria. Frequent co-authors include Naama Barkai, Cornelia I. Bargmann, Steven W. Flavell, Miri Carmi, Navin Pokala, Andrew Gordus, Gustavo J. Melen, Ben‐Zion Shilo, Moshe Kafri and Adina Weinberger. Their work appears in journals such as Molecular Systems Biology, Advances in experimental medicine and biology, Cell Reports, Current Biology and Neuron.
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.