Ron Milo

49.2k total citations · 19 hit papers
136 papers, 31.0k citations indexed

About

Ron Milo is a scholar working on Molecular Biology, Ecology and Infectious Diseases. According to data from OpenAlex, Ron Milo has authored 136 papers receiving a total of 31.0k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 18 papers in Ecology and 14 papers in Infectious Diseases. Recurrent topics in Ron Milo's work include Microbial Metabolic Engineering and Bioproduction (42 papers), Gene Regulatory Network Analysis (24 papers) and Photosynthetic Processes and Mechanisms (15 papers). Ron Milo is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (42 papers), Gene Regulatory Network Analysis (24 papers) and Photosynthetic Processes and Mechanisms (15 papers). Ron Milo collaborates with scholars based in Israel, United States and Germany. Ron Milo's co-authors include Uri Alon, Ron Sender, Shai Fuchs, Shai S. Shen-Orr, Yinon M. Bar‐On, Shalev Itzkovitz, Nadav Kashtan, Rob Phillips, Εlad Noor and Arren Bar‐Even and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Ron Milo

133 papers receiving 30.3k citations

Hit Papers

Network Motifs: Simple Building Blocks of Complex Networks 2002 2026 2010 2018 2002 2016 2002 2018 2016 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ron Milo Israel 71 18.7k 2.9k 2.9k 2.7k 2.5k 136 31.0k
Adam P. Arkin United States 84 30.0k 1.6× 788 0.3× 7.6k 2.6× 2.2k 0.8× 3.4k 1.4× 362 43.5k
James J. Collins United States 142 46.3k 2.5× 5.7k 2.0× 10.3k 3.6× 4.3k 1.6× 12.6k 5.1× 336 76.3k
Jeremy C. Smith United States 92 32.0k 1.7× 439 0.2× 4.2k 1.4× 1.7k 0.6× 5.5k 2.2× 848 58.8k
Daniel Ramage United States 20 21.9k 1.2× 820 0.3× 2.8k 1.0× 1.1k 0.4× 579 0.2× 28 42.3k
Trey Ideker United States 81 46.8k 2.5× 651 0.2× 6.4k 2.2× 1.8k 0.7× 1.3k 0.5× 246 66.9k
Pierre Baldi United States 96 15.3k 0.8× 760 0.3× 2.0k 0.7× 887 0.3× 1.1k 0.4× 428 34.1k
Nitin S. Baliga United States 46 26.6k 1.4× 306 0.1× 3.9k 1.3× 1.9k 0.7× 828 0.3× 144 41.8k
Charles R. Cantor United States 85 24.3k 1.3× 520 0.2× 5.8k 2.0× 1.6k 0.6× 2.7k 1.1× 341 34.7k
Douglas B. Kell United Kingdom 99 22.1k 1.2× 255 0.1× 2.4k 0.8× 2.2k 0.8× 5.6k 2.3× 560 40.6k
Christian von Mering Switzerland 68 45.6k 2.4× 427 0.1× 6.3k 2.2× 2.8k 1.0× 1.3k 0.5× 134 69.7k

Countries citing papers authored by Ron Milo

Since Specialization
Citations

This map shows the geographic impact of Ron Milo'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 Ron Milo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ron Milo more than expected).

Fields of papers citing papers by Ron Milo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ron Milo. 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 Ron Milo. The network helps show where Ron Milo may publish in the future.

Co-authorship network of co-authors of Ron Milo

This figure shows the co-authorship network connecting the top 25 collaborators of Ron Milo. A scholar is included among the top collaborators of Ron Milo 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 Ron Milo. Ron Milo 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.
Pins, Benoit de, Jagoda Jabłońska, Itai Sharon, et al.. (2025). Rubisco is slow across the tree of life. Proceedings of the National Academy of Sciences. 122(47). e2501433122–e2501433122.
2.
Pins, Benoit de, Yinon M. Bar‐On, Melina Shamshoum, et al.. (2024). A systematic exploration of bacterial form I rubisco maximal carboxylation rates. The EMBO Journal. 43(14). 3072–3083. 5 indexed citations
3.
Prywes, Noam, Luke M. Oltrogge, Benoit de Pins, et al.. (2024). Mapping the kinetic landscape of rubisco. Biophysical Journal. 123(3). 19a–19a. 1 indexed citations
4.
Pins, Benoit de, Ghil Jona, Shmuel Gleizer, et al.. (2024). Autotrophic growth of Escherichia coli is achieved by a small number of genetic changes. eLife. 12. 3 indexed citations
5.
Rosenberg, Yuval, et al.. (2023). The global biomass and number of terrestrial arthropods. Science Advances. 9(5). eabq4049–eabq4049. 47 indexed citations
6.
Sender, Ron, Yuval Rosenberg, Yinon M. Bar‐On, et al.. (2023). The global biomass of wild mammals. Proceedings of the National Academy of Sciences. 120(10). e2204892120–e2204892120. 73 indexed citations breakdown →
7.
Goldberg, Yair, Ofra Amir, Micha Mandel, et al.. (2023). Measuring vaccine protection when the population is mostly vaccinated. Journal of Clinical Epidemiology. 163. 111–116. 2 indexed citations
8.
Balash, Yacov, Esther Kahana, Amos D. Korczyn, et al.. (2023). Is There Horizontal Transmission of Creutzfeldt-Jakob Disease?. Neuroepidemiology. 57(3). 156–161. 1 indexed citations
9.
Amir, Ofra, Yair Goldberg, Micha Mandel, et al.. (2022). Initial protection against SARS-CoV-2 omicron lineage infection in children and adolescents by BNT162b2 in Israel: an observational study. The Lancet Infectious Diseases. 23(1). 67–73. 12 indexed citations
10.
Sender, Ron, Yinon M. Bar‐On, Sang Woo Park, et al.. (2022). The unmitigated profile of COVID-19 infectiousness. eLife. 11. 10 indexed citations
11.
Sender, Ron, Yinon M. Bar‐On, Shmuel Gleizer, et al.. (2021). The total number and mass of SARS-CoV-2 virions. Proceedings of the National Academy of Sciences. 118(25). 169 indexed citations
12.
Gleizer, Shmuel, et al.. (2019). Point mutations in topoisomerase I alter the mutation spectrum in E. coli and impact the emergence of drug resistance genotypes. Nucleic Acids Research. 48(2). 761–769. 9 indexed citations
13.
Bar‐On, Yinon M. & Ron Milo. (2019). The global mass and average rate of rubisco. Proceedings of the National Academy of Sciences. 116(10). 4738–4743. 161 indexed citations
14.
Davidi, Dan, Εlad Noor, Wolfram Liebermeister, et al.. (2016). Global characterization of in vivo enzyme catalytic rates and their correspondence to in vitro k cat measurements. Proceedings of the National Academy of Sciences. 113(12). 3401–3406. 186 indexed citations
15.
Flamholz, Avi I., Εlad Noor, Arren Bar‐Even, & Ron Milo. (2011). eQuilibrator--the biochemical thermodynamics calculator. Nucleic Acids Research. 40(D1). D770–D775. 433 indexed citations
16.
Bar‐Even, Arren, Εlad Noor, Nathan E. Lewis, & Ron Milo. (2010). Design and analysis of synthetic carbon fixation pathways. Proceedings of the National Academy of Sciences. 107(19). 8889–8894. 374 indexed citations
17.
Cohen, Ariel, Naama Geva‐Zatorsky, Eran Eden, et al.. (2008). Dynamic Proteomics of Individual Cancer Cells in Response to a Drug. Science. 322(5907). 1511–1516. 465 indexed citations
18.
Milo, Ron, et al.. (2007). The relationship between evolutionary and physiological variation in hemoglobin. Proceedings of the National Academy of Sciences. 104(43). 16998–17003. 29 indexed citations
19.
Milo, Ron, Nadav Kashtan, Shalev Itzkovitz, M. E. J. Newman, & Uri Alon. (2003). Uniform generation of random graphs with arbitrary degree sequences. arXiv (Cornell University). 24 indexed citations
20.
Milo, Ron, Shai S. Shen-Orr, Shalev Itzkovitz, et al.. (2002). Network Motifs: Simple Building Blocks of Complex Networks. Science. 298(5594). 824–827. 4738 indexed citations breakdown →

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.

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