Erez Lieberman Aiden
- Molecular Biology top 0.2%
- Genomics and Chromatin Dynamics 38
- Genomics and Phylogenetic Studies 27
- RNA Research and Splicing 12
- RNA and protein synthesis mechanisms 10
- Epigenetics and DNA Methylation 6
- RNA modifications and cancer 6
- Plant Science top 0.2%
- Chromosomal and Genetic Variations 17
- Genetics top 0.5%
- Genetic diversity and population structure 13
- Horticulture top 2%
- Cancer Research top 2%
- Co-authors
- Neva C. DurandEric S. LanderIdo MacholSuhas S.P. RaoMiriam HuntleyMuhammad S. ShamimJames RobinsonArina D. Omer
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Erez Lieberman Aiden
70 papers receiving 15.8k citations
Hit Papers
Peers
Comparison fields: 5 of 216
- Molecular Biology 11.7k
- Plant Science 4.7k
- Genetics 3.0k
- Horticulture 61
- Cancer Research 805
Countries citing papers authored by Erez Lieberman Aiden
This map shows the geographic impact of Erez Lieberman Aiden'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 Erez Lieberman Aiden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erez Lieberman Aiden more than expected).
Fields of papers citing papers by Erez Lieberman Aiden
This network shows the impact of papers produced by Erez Lieberman Aiden. 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 Erez Lieberman Aiden. The network helps show where Erez Lieberman Aiden may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Erez Lieberman Aiden, 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 | 16 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 19 | |
| 8 | 2022 | 9 | |
| 9 | 2020 | 22 | |
| 10 | 2020 | 34 | |
| 11 | 2020 | 45 | |
| 12 | 2019 | 35 | |
| 13 | 2017 | 167 | |
| 14 | 2017 | 119 | |
| 15 | De novo assembly of the Aedes aegypti genome using Hi-C yields chromosome-length scaffolds | 2017 | 137 |
| 16 | 2016 | 181 | |
| 17 | 2016 | 237 | |
| 18 | Juicer Provides a One-Click System for Analyzing Loop-Resolution Hi-C Experimentsbreakdown → | 2016 | 2026 |
| 19 | In silico simulations of polymer condensation: the fractal globule as a metastable state | 2012 | 1 |
| 20 | Culturomics: Quantitative Analysis of Culture Using Millions of Digitized Books. | 2011 | 2 |
About Erez Lieberman Aiden
Erez Lieberman Aiden is a scholar working on Molecular Biology, Genetics and Plant Science, having authored 76 papers that have together received 16.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (38 papers), Genomics and Phylogenetic Studies (27 papers), Chromosomal and Genetic Variations (17 papers), Genetic diversity and population structure (13 papers), RNA Research and Splicing (12 papers), RNA and protein synthesis mechanisms (10 papers), Epigenetics and DNA Methylation (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Molecular Biology (11.7k citations), Plant Science (4.7k citations) and Genetics (3.0k citations). Erez Lieberman Aiden has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Neva C. Durand, Eric S. Lander, Ido Machol, Suhas S.P. Rao, Miriam Huntley, Muhammad S. Shamim, James Robinson, Arina D. Omer, Elena K. Stamenova and Adrian L. Sanborn. Their work appears in journals such as Nature, Science and 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.