Avi Mayo
Impact in
Papers in
-
- Gene Regulatory Network Analysis 24
- Single-cell and spatial transcriptomics 7
- Genetics 19
- Evolution and Genetic Dynamics 13
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Uri Alon (57 shared papers)Yuval Hart (19 shared papers)E. Dekel (7 shared papers)Hila Sheftel (7 shared papers)Jacob D. Bekenstein (3 shared papers)Michael G. Surette (2 shared papers)Alon Zaslaver (4 shared papers)Oren Shoval (4 shared papers)
- Journals
- PLoS Computational Biology (9 papers)PLoS ONE (7 papers)Proceedings of the National Academy of Sciences (7 papers)Nature Communications (6 papers)iScience (6 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Avi Mayo
88 papers receiving 5.9k citations
Avi Mayo's Hit Papers
Peers
Comparison fields: 5 of 183
- Aging 317
- Virology 315
- Molecular Biology 2.8k
- Biophysics 224
- Cell Biology 575
Countries citing papers authored by Avi Mayo
This map shows the geographic impact of Avi Mayo'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 Avi Mayo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avi Mayo more than expected).
Fields of papers citing papers by Avi Mayo
This network shows the impact of papers produced by Avi Mayo. 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 Avi Mayo. The network helps show where Avi Mayo may publish in the future.
Co-authors
The 25 scholars most cited alongside Avi Mayo, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 450 | |
| 2 | Evolutionary Trade-Offs, Pareto Optimality, and the Geometry of Phenotype Space Hit paper breakdown → | 2012 | 434 |
| 3 | Cell-to-cell spread of HIV permits ongoing replication despite antiretroviral therapy Hit paper breakdown → | 2011 | 420 |
| 4 | 2004 | 362 | |
| 5 | 2018 | 284 | |
| 6 | 2015 | 272 | |
| 7 | 2003 | 248 | |
| 8 | 2011 | 237 | |
| 9 | 2003 | 188 | |
| 10 | 2010 | 159 | |
| 11 | 2006 | 156 | |
| 12 | 1996 | 151 | |
| 13 | 2019 | 125 | |
| 14 | 2016 | 120 | |
| 15 | 2015 | 111 | |
| 16 | 2023 | 109 | |
| 17 | 2020 | 98 | |
| 18 | 2015 | 90 | |
| 19 | 2015 | 82 | |
| 20 | 2013 | 77 |
About Avi Mayo
Avi Mayo is a scholar working on Molecular Biology, Genetics, Physiology, Astronomy and Astrophysics and Nuclear and High Energy Physics, having authored 91 papers that have together received 6.0k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (24 papers), Evolution and Genetic Dynamics (13 papers), Black Holes and Theoretical Physics (8 papers), Cosmology and Gravitation Theories (8 papers), Bacterial Genetics and Biotechnology (8 papers), Single-cell and spatial transcriptomics (7 papers), Noncommutative and Quantum Gravity Theories (6 papers) and Circadian rhythm and melatonin (5 papers). The work is most often cited by research in Aging (317 citations), Virology (315 citations), Molecular Biology (2.8k citations), Biophysics (224 citations) and Cell Biology (575 citations). Avi Mayo has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Uri Alon, Yuval Hart, E. Dekel, Hila Sheftel, Jacob D. Bekenstein, Michael G. Surette, Alon Zaslaver, Oren Shoval, Miri Adler and Avichai Tendler. Their work appears in journals such as PLoS Computational Biology, PLoS ONE, Proceedings of the National Academy of Sciences, Nature Communications and iScience.
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.