Ido Machol
Impact in
- Molecular Biology top 0.5%
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Plant Science top 0.5%
- Chromosomal and Genetic Variations
Papers in
-
- Chromosomal and Genetic Variations 4
- Phytoplasmas and Hemiptera pathogens 1
- Plant Virus Research Studies 1
-
- Genomics and Chromatin Dynamics 6
- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 3
- RNA modifications and cancer 1
- Co-authors
- Erez Lieberman AidenNeva C. DurandEric S. LanderMiriam HuntleySuhas S.P. RaoMuhammad S. ShamimJames RobinsonArina D. Omer
- Journals
- Cell Systems (2 papers)Cell (2 papers)BMC Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Ido Machol
9 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 8.0k
- Plant Science 3.6k
- Genetics 2.2k
- Horticulture 57
- Cancer Research 581
Countries citing papers authored by Ido Machol
This map shows the geographic impact of Ido Machol'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 Ido Machol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ido Machol more than expected).
Fields of papers citing papers by Ido Machol
This network shows the impact of papers produced by Ido Machol. 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 Ido Machol. The network helps show where Ido Machol may publish in the future.
Co-authors
The 25 scholars most cited alongside Ido Machol, 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 | De novo assembly of the Aedes aegypti genome using Hi-C yields chromosome-length scaffolds | 2017 | 137 |
| 2 | 2017 | 42 | |
| 3 | 2017 | 195 | |
| 4 | De novo assembly of the Aedes aegypti genome using Hi-C yields chromosome-length scaffolds Hit paper breakdown → | 2017 | 1607 |
| 5 | 2016 | 181 | |
| 6 | Juicer Provides a One-Click System for Analyzing Loop-Resolution Hi-C Experiments Hit paper breakdown → | 2016 | 2026 |
| 7 | Juicebox Provides a Visualization System for Hi-C Contact Maps with Unlimited Zoom Hit paper breakdown → | 2016 | 1242 |
| 8 | 2015 | 82 | |
| 9 | A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping Hit paper breakdown → | 2014 | 4449 |
About Ido Machol
Ido Machol is a scholar working on Plant Science, Molecular Biology, Insect Science, Ecology and Genetics, having authored 9 papers that have together received 10.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Genomics and Phylogenetic Studies (5 papers), Chromosomal and Genetic Variations (4 papers), RNA and protein synthesis mechanisms (3 papers), Phytoplasmas and Hemiptera pathogens (1 paper), RNA modifications and cancer (1 paper), Plant Virus Research Studies (1 paper) and Insect symbiosis and bacterial influences (1 paper). The work is most often cited by research in Molecular Biology (8.0k citations), Plant Science (3.6k citations), Genetics (2.2k citations), Horticulture (57 citations) and Cancer Research (581 citations). Ido Machol has collaborated with scholars based in United States and Germany. Frequent co-authors include Erez Lieberman Aiden, Neva C. Durand, Eric S. Lander, Miriam Huntley, Suhas S.P. Rao, Muhammad S. Shamim, James Robinson, Arina D. Omer, Elena K. Stamenova and Adrian L. Sanborn. Their work appears in journals such as Cell Systems, Cell, BMC Biology, Proceedings of the National Academy of Sciences and Molecular Cell.
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.