Avi Mayo
- Aging top 0.5%
- Virology top 2%
- Molecular Biology top 2%
- Gene Regulatory Network Analysis 24
- Single-cell and spatial transcriptomics 7
- Microbial Metabolic Engineering and Bioproduction 6
- Biophysics top 1%
- Cell Biology top 2%
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- Evolution and Genetic Dynamics 13
- Bacterial Genetics and Biotechnology 8
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- Cosmology and Gravitation Theories 8
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- Black Holes and Theoretical Physics 8
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- Noncommutative and Quantum Gravity Theories 6
- Co-authors
- Uri AlonYuval HartE. DekelHila SheftelJacob D. BekensteinMichael G. SuretteAlon ZaslaverOren Shoval
- Cited by
- AgingVirologyMolecular Biology
- Journals
- PLoS Computational Biology (9 papers)Proceedings of the National Academy of Sciences (7 papers)PLoS ONE (7 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Avi Mayo
86 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Aging 313
- Virology 330
- Molecular Biology 2.8k
- Biophysics 232
- Cell Biology 589
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | p16-dependent increase of PD-L1 stability regulates immunosurveillance of senescent cellsbreakdown → | 2024 | 51 |
| 6 | 2023 | 5 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 97 | |
| 10 | 2021 | 53 | |
| 11 | 2021 | 55 | |
| 12 | 2018 | 15 | |
| 13 | 2017 | 23 | |
| 14 | 2017 | 49 | |
| 15 | Evolutionary Trade-Offs, Pareto Optimality, and the Geometry of Phenotype Spacebreakdown → | 2012 | 423 |
| 16 | A Quantitative Study of Creative Leaps | 2012 | 8 |
| 17 | 2011 | 6 | |
| 18 | 2009 | 33 | |
| 19 | 2007 | 13 | |
| 20 | 2003 | 246 |
About Avi Mayo
Avi Mayo is a scholar working on Aging, Behavioral Neuroscience and Endocrine and Autonomic Systems, having authored 90 papers that have together received 5.9k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (24 papers), Evolution and Genetic Dynamics (13 papers), Cosmology and Gravitation Theories (8 papers), Black Holes and Theoretical Physics (8 papers), Bacterial Genetics and Biotechnology (8 papers), Single-cell and spatial transcriptomics (7 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Noncommutative and Quantum Gravity Theories (6 papers). The work is most often cited by research in Aging (313 citations), Virology (330 citations) and Molecular Biology (2.8k 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, Proceedings of the National Academy of Sciences, PLoS ONE, 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.