Elo Leung
Impact in
- Aging top 2%
Papers in
-
- CRISPR and Genetic Engineering 2
- Advanced biosensing and bioanalysis techniques 1
- RNA Interference and Gene Delivery 1
- Bioinformatics and Genomic Networks 1
- Genetics, Bioinformatics, and Biomedical Research 1
- RNA Research and Splicing 1
- Molecular Biology Techniques and Applications 1
- RNA and protein synthesis mechanisms 1
- Co-authors
- Fyodor D. Urnov (2 shared papers)Lei Zhang (2 shared papers)Jeffrey C. Miller (2 shared papers)Xiangdong Meng (2 shared papers)Edward J. Rebar (2 shared papers)Philip D. Gregory (2 shared papers)Jianbin Wang (1 shared paper)Gregory J. Cost (1 shared paper)
- Journals
- Bioinformatics (1 paper)Science (1 paper)Nature Biotechnology (1 paper)BMC Bioinformatics (1 paper)Czechoslovak Mathematical Journal (1 paper)
- Partner nations
- United States
In The Last Decade
Elo Leung
5 papers receiving 2.0k citations
Elo Leung's Hit Papers
Peers
Comparison fields: 5 of 94
- Aging 157
- Business and International Management 134
- Molecular Biology 1.9k
- Genetics 569
- Plant Science 328
Countries citing papers authored by Elo Leung
This map shows the geographic impact of Elo Leung'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 Elo Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elo Leung more than expected).
Fields of papers citing papers by Elo Leung
This network shows the impact of papers produced by Elo Leung. 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 Elo Leung. The network helps show where Elo Leung may publish in the future.
Co-authors
The 25 scholars most cited alongside Elo Leung, 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 | A TALE nuclease architecture for efficient genome editing Hit paper breakdown → | 2010 | 1580 |
| 2 | 2011 | 499 | |
| 3 | 2016 | 5 | |
| 4 | 2009 | 3 | |
| 5 | 2005 | 3 |
About Elo Leung
Elo Leung is a scholar working on Molecular Biology, Geometry and Topology, Computational Theory and Mathematics, Plant Science and Materials Chemistry, having authored 5 papers that have together received 2.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), RNA Interference and Gene Delivery (1 paper), Bioinformatics and Genomic Networks (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper), RNA Research and Splicing (1 paper), Molecular Biology Techniques and Applications (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Aging (157 citations), Business and International Management (134 citations), Molecular Biology (1.9k citations), Genetics (569 citations) and Plant Science (328 citations). Elo Leung has collaborated with scholars based in United States. Frequent co-authors include Fyodor D. Urnov, Lei Zhang, Jeffrey C. Miller, Xiangdong Meng, Edward J. Rebar, Philip D. Gregory, Jianbin Wang, Gregory J. Cost, Kyle A. Barlow and David E. Paschon. Their work appears in journals such as Bioinformatics, Science, Nature Biotechnology, BMC Bioinformatics and Czechoslovak Mathematical Journal.
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.