Jared T. Simpson
- Molecular Biology top 1%
- Genomics and Phylogenetic Studies 14
- RNA and protein synthesis mechanisms 10
- RNA modifications and cancer 8
- Genomics and Chromatin Dynamics 4
- Epigenetics and DNA Methylation 3
- Ecology top 1%
- Plant Science top 1%
- Genetics top 2%
- Endocrinology top 2%
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- SARS-CoV-2 and COVID-19 Research 5
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- Algorithms and Data Compression 4
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- Nanopore and Nanochannel Transport Studies 3
- Co-authors
- Nicholas J. LomanShaun D. JackmanSteven J.M. JonesKim Wongİnanç BirolJacqueline E. ScheinRichard DurbinJoshua Quick
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Jared T. Simpson
31 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 5.3k
- Ecology 1.4k
- Plant Science 1.7k
- Genetics 1.1k
- Endocrinology 195
Countries citing papers authored by Jared T. Simpson
This map shows the geographic impact of Jared T. Simpson'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 Jared T. Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared T. Simpson more than expected).
Fields of papers citing papers by Jared T. Simpson
This network shows the impact of papers produced by Jared T. Simpson. 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 Jared T. Simpson. The network helps show where Jared T. Simpson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jared T. Simpson, 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 | 2023 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 122 | |
| 9 | 2020 | 99 | |
| 10 | 2019 | 83 | |
| 11 | Detecting DNA cytosine methylation using nanopore sequencingbreakdown → | 2017 | 655 |
| 12 | 2016 | 86 | |
| 13 | 2016 | 10 | |
| 14 | 2015 | 36 | |
| 15 | A complete bacterial genome assembled de novo using only nanopore sequencing databreakdown → | 2015 | 822 |
| 16 | 2014 | 216 | |
| 17 | Efficient de novo assembly of large genomes using compressed data structuresbreakdown → | 2011 | 487 |
| 18 | 2011 | 259 | |
| 19 | 2011 | 190 | |
| 20 | ABySS: A parallel assembler for short read sequence databreakdown → | 2009 | 2603 |
About Jared T. Simpson
Jared T. Simpson is a scholar working on Molecular Biology, Infectious Diseases, Animal Science and Zoology, Plant Science and Ecology, having authored 32 papers that have together received 7.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (8 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Algorithms and Data Compression (4 papers), Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (3 papers) and Nanopore and Nanochannel Transport Studies (3 papers). The work is most often cited by research in Molecular Biology (5.3k citations), Ecology (1.4k citations), Plant Science (1.7k citations), Genetics (1.1k citations) and Endocrinology (195 citations). Jared T. Simpson has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Nicholas J. Loman, Shaun D. Jackman, Steven J.M. Jones, Kim Wong, İnanç Birol, Jacqueline E. Schein, Richard Durbin, Joshua Quick, Christopher Quince and Alan W. Walker. Their work appears in journals such as Nature Methods, Bioinformatics, Genome Research, Genome biology and JAMA Network Open.
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.