Avi Mayo

9.3k total citations · 4 hit papers
90 papers, 5.9k citations indexed

About

Avi Mayo is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Avi Mayo has authored 90 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 20 papers in Genetics and 10 papers in Physiology. Recurrent topics in Avi Mayo's work include Gene Regulatory Network Analysis (24 papers), Evolution and Genetic Dynamics (13 papers) and Cosmology and Gravitation Theories (8 papers). Avi Mayo is often cited by papers focused on Gene Regulatory Network Analysis (24 papers), Evolution and Genetic Dynamics (13 papers) and Cosmology and Gravitation Theories (8 papers). Avi Mayo collaborates with scholars based in Israel, United States and United Kingdom. Avi Mayo's co-authors include Uri Alon, Yuval Hart, E. Dekel, Hila Sheftel, Michael G. Surette, Jacob D. Bekenstein, Alon Zaslaver, Oren Shoval, Miri Adler and Avichai Tendler and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Avi Mayo

86 papers receiving 5.8k citations

Hit Papers

Fibroblast polarization is a matrix-rigidity-dependent pr... 2011 2026 2016 2021 2011 2012 2011 2024 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Avi Mayo Israel 40 2.8k 972 589 558 486 90 5.9k
David C. Samuels United States 50 5.9k 2.1× 1.4k 1.4× 158 0.3× 183 0.3× 134 0.3× 197 8.6k
Christophe Zimmer France 40 3.0k 1.1× 329 0.3× 363 0.6× 289 0.5× 673 1.4× 82 6.6k
E. Dekel Israel 39 3.3k 1.2× 1.3k 1.3× 318 0.5× 245 0.4× 879 1.8× 98 7.4k
Allan Jacobson United States 55 11.5k 4.0× 791 0.8× 789 1.3× 422 0.8× 246 0.5× 170 14.3k
James R. Williamson United States 67 13.8k 4.9× 2.0k 2.0× 179 0.3× 340 0.6× 561 1.2× 251 17.0k
Arjun Raj United States 50 14.4k 5.0× 2.1k 2.1× 522 0.9× 926 1.7× 686 1.4× 116 16.7k
Hari Shroff United States 40 2.8k 1.0× 371 0.4× 621 1.1× 362 0.6× 2.7k 5.5× 109 8.0k
Aaron R. Dinner United States 49 4.9k 1.7× 606 0.6× 736 1.2× 1.7k 3.1× 477 1.0× 158 9.1k
Jürgen M. Plitzko Germany 62 7.2k 2.5× 648 0.7× 1.2k 2.0× 205 0.4× 779 1.6× 162 11.2k
David Martin United States 34 6.8k 2.4× 1.2k 1.3× 823 1.4× 679 1.2× 233 0.5× 79 11.3k

Countries citing papers authored by Avi Mayo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Avi Mayo

This figure shows the co-authorship network connecting the top 25 collaborators of Avi Mayo. A scholar is included among the top collaborators of Avi Mayo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Avi Mayo. Avi Mayo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Milo, Tomer, et al.. (2025). Hormone circuit explains why most HPA drugs fail for mood disorders and predicts the few that work. Molecular Systems Biology. 21(3). 254–273. 1 indexed citations
2.
Glass, David S., Tomer Milo, Yael Korem Kohanim, et al.. (2025). Unifying regulatory motifs in endocrine circuits. Nature Communications. 16(1). 11017–11017.
3.
Glass, David S., et al.. (2025). Principles of bacteriostatic and bactericidal antibiotics at subinhibitory concentrations. mBio. 16(11). e0206625–e0206625.
4.
Bar, A., Rocio Moran, Netta Mendelson Cohen, et al.. (2025). Pregnancy and postpartum dynamics revealed by millions of lab tests. Science Advances. 11(13). eadr7922–eadr7922. 4 indexed citations
5.
Agrawal, Amit, Avi Mayo, Lior Roitman, et al.. (2024). p16-dependent increase of PD-L1 stability regulates immunosurveillance of senescent cells. Nature Cell Biology. 26(8). 1336–1345. 51 indexed citations breakdown →
6.
Tendler, Avichai, et al.. (2023). Major depressive disorder and bistability in an HPA-CNS toggle switch. PLoS Computational Biology. 19(12). e1011645–e1011645. 6 indexed citations
7.
Bren, Anat, David S. Glass, Yael Korem Kohanim, Avi Mayo, & Uri Alon. (2023). Tradeoffs in bacterial physiology determine the efficiency of antibiotic killing. Proceedings of the National Academy of Sciences. 120(51). e2312651120–e2312651120. 14 indexed citations
8.
Bar, A., Omer Karin, Avi Mayo, Danny Ben‐Zvi, & Uri Alon. (2023). Rules for body fat interventions based on an operating point mechanism. iScience. 26(2). 106047–106047. 5 indexed citations
9.
Mayer, Shimrit, Tomer Milo, Coral Halperin, et al.. (2023). The tumor microenvironment shows a hierarchy of cell-cell interactions dominated by fibroblasts. Nature Communications. 14(1). 5810–5810. 97 indexed citations
10.
Katzir, Itay, et al.. (2021). Senescent cells and the incidence of age‐related diseases. Aging Cell. 20(3). e13314–e13314. 55 indexed citations
11.
Tendler, Avichai, A. Bar, Omer Karin, et al.. (2021). Hormone seasonality in medical records suggests circannual endocrine circuits. Proceedings of the National Academy of Sciences. 118(7). 53 indexed citations
12.
Sheftel, Hila, Pablo Székely, Avi Mayo, Guy Sella, & Uri Alon. (2018). Evolutionary trade-offs and the structure of polymorphisms. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1747). 20170105–20170105. 15 indexed citations
13.
Drayman, Nir, Omer Karin, Avi Mayo, et al.. (2017). Dynamic Proteomics of Herpes Simplex Virus Infection. mBio. 8(6). 23 indexed citations
14.
Adler, Miri, Pablo Székely, Avi Mayo, & Uri Alon. (2017). Optimal Regulatory Circuit Topologies for Fold-Change Detection. Cell Systems. 4(2). 171–181.e8. 49 indexed citations
15.
Shoval, Oren, Hila Sheftel, Guy Shinar, et al.. (2012). Evolutionary Trade-Offs, Pareto Optimality, and the Geometry of Phenotype Space. Science. 336(6085). 1157–1160. 423 indexed citations breakdown →
16.
Noy, Lior, et al.. (2012). A Quantitative Study of Creative Leaps. ICCC. 72–76. 8 indexed citations
17.
Shinar, Guy, Avi Mayo, Haixia Ji, & Martin Feinberg. (2011). Constraints on Reciprocal Flux Sensitivities in Biochemical Reaction Networks. Biophysical Journal. 100(6). 1383–1391. 6 indexed citations
18.
Kashtan, Nadav, Avi Mayo, Tomer Kalisky, & Uri Alon. (2009). An Analytically Solvable Model for Rapid Evolution of Modular Structure. PLoS Computational Biology. 5(4). e1000355–e1000355. 33 indexed citations
19.
Ninfa, Alexander J., Nicolás Perry, Stephen Atkins, et al.. (2007). Using Two‐Component Systems and Other Bacterial Regulatory Factors for the Fabrication of Synthetic Genetic Devices. Methods in enzymology on CD-ROM/Methods in enzymology. 422. 488–512. 13 indexed citations
20.
Mayo, Avi, et al.. (2003). Detailed map of a cis-regulatory input function. Proceedings of the National Academy of Sciences. 100(13). 7702–7707. 246 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026