Justin Chu
Impact in
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Horticulture top 10%
Papers in
-
- Genomics and Phylogenetic Studies 26
- RNA and protein synthesis mechanisms 12
- Molecular Biology Techniques and Applications 5
- RNA modifications and cancer 5
- Advanced biosensing and bioanalysis techniques 3
- Co-authors
- İnanç BirolRené L. WarrenLauren CoombeHamid MohamadiBenjamin P. VandervalkSarah YeoShaun D. JackmanChen Yang
- Journals
- Bioinformatics (6 papers)BMC Bioinformatics (3 papers)Genome Research (3 papers)BMC Medical Genomics (2 papers)GigaScience (2 papers)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Justin Chu
31 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.3k
- Horticulture 16
- Genetics 286
- Plant Science 356
- Genetics 100
Countries citing papers authored by Justin Chu
This map shows the geographic impact of Justin Chu'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 Justin Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Chu more than expected).
Fields of papers citing papers by Justin Chu
This network shows the impact of papers produced by Justin Chu. 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 Justin Chu. The network helps show where Justin Chu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Justin Chu, 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 | 2024 | 2 | |
| 2 | 2023 | 17 | |
| 3 | 2022 | 1 | |
| 4 | 2020 | 24 | |
| 5 | 2020 | 32 | |
| 6 | 2018 | 53 | |
| 7 | 2018 | 5 | |
| 8 | 2018 | 73 | |
| 9 | 2017 | 109 | |
| 10 | 2017 | 136 | |
| 11 | ABySS 2.0: resource-efficient assembly of large genomes using a Bloom filter Hit paper breakdown → | 2017 | 455 |
| 12 | 2016 | 23 | |
| 13 | 2016 | 141 | |
| 14 | 2015 | 22 | |
| 15 | 2015 | 30 | |
| 16 | 2015 | 39 | |
| 17 | 2015 | 7 | |
| 18 | 2014 | 62 | |
| 19 | 2014 | 0 | |
| 20 | 2010 | 435 |
About Justin Chu
Justin Chu is a scholar working on Molecular Biology, Ophthalmology, Plant Science, Ecology and Artificial Intelligence, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (26 papers), RNA and protein synthesis mechanisms (12 papers), Chromosomal and Genetic Variations (6 papers), Molecular Biology Techniques and Applications (5 papers), RNA modifications and cancer (5 papers), Bacteriophages and microbial interactions (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Algorithms and Data Compression (3 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Horticulture (16 citations), Genetics (286 citations), Plant Science (356 citations) and Genetics (100 citations). Justin Chu has collaborated with scholars based in Canada, United States and India. Frequent co-authors include İnanç Birol, René L. Warren, Lauren Coombe, Hamid Mohamadi, Benjamin P. Vandervalk, Sarah Yeo, Shaun D. Jackman, Chen Yang, Hamza Khan and S. Austin Hammond. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Genome Research, BMC Medical Genomics and GigaScience.
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.