Ron Milo
- Molecular Biology top 0.1%
- Microbial Metabolic Engineering and Bioproduction 42
- Gene Regulatory Network Analysis 24
- Photosynthetic Processes and Mechanisms 15
- Bioinformatics and Genomic Networks 13
- Protein Structure and Dynamics 11
- Enzyme Catalysis and Immobilization 9
- Statistical and Nonlinear Physics top 0.1%
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research 13
- Biological Psychiatry top 1%
- Modeling and Simulation top 0.5%
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- Agriculture Sustainability and Environmental Impact 9
- Co-authors
- Uri AlonRon SenderShai FuchsShai S. Shen-OrrYinon M. Bar‐OnShalev ItzkovitzNadav KashtanRob Phillips
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Ron Milo
133 papers receiving 30.3k citations
Hit Papers
Peers
Comparison fields: 5 of 230
- Molecular Biology 18.7k
- Statistical and Nonlinear Physics 2.9k
- Infectious Diseases 2.7k
- Biological Psychiatry 365
- Modeling and Simulation 654
Countries citing papers authored by Ron Milo
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
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
The 25 scholars most cited alongside Ron Milo, 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 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | The global biomass of wild mammalsbreakdown → | 2023 | 73 |
| 7 | 2023 | 2 | |
| 8 | 2022 | 26 | |
| 9 | 2021 | 169 | |
| 10 | SARS-CoV-2 (COVID-19) by the numbersbreakdown → | 2020 | 684 |
| 11 | 2019 | 9 | |
| 12 | 2019 | 161 | |
| 13 | The biomass distribution on Earthbreakdown → | 2018 | 1913 |
| 14 | 2016 | 186 | |
| 15 | What is the total number of protein molecules per cell volume? A call to rethink some published valuesbreakdown → | 2013 | 416 |
| 16 | 2010 | 374 | |
| 17 | 2008 | 465 | |
| 18 | 2007 | 29 | |
| 19 | Uniform generation of random graphs with arbitrary degree sequences | 2003 | 24 |
| 20 | Network Motifs: Simple Building Blocks of Complex Networksbreakdown → | 2002 | 4738 |
About Ron Milo
Ron Milo is a scholar working on Biophysics, Molecular Biology and Biochemistry, having authored 136 papers that have together received 31.0k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (42 papers), Gene Regulatory Network Analysis (24 papers), Photosynthetic Processes and Mechanisms (15 papers), SARS-CoV-2 and COVID-19 Research (13 papers), Bioinformatics and Genomic Networks (13 papers), Protein Structure and Dynamics (11 papers), Enzyme Catalysis and Immobilization (9 papers) and Agriculture Sustainability and Environmental Impact (9 papers). The work is most often cited by research in Molecular Biology (18.7k citations), Statistical and Nonlinear Physics (2.9k citations) and Infectious Diseases (2.7k citations). Ron Milo has collaborated with scholars based in Israel, United States and Germany. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell, eLife, PLoS ONE and Science.
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.