Shaun D. Jackman
Impact in
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Ecology top 2%
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
Papers in
-
- Genomics and Phylogenetic Studies 24
- RNA and protein synthesis mechanisms 12
- Molecular Biology Techniques and Applications 4
- RNA modifications and cancer 3
- Advanced biosensing and bioanalysis techniques 2
- Ecology 9
- Bacteriophages and microbial interactions 3
- Co-authors
- İnanç BirolSteven J.M. JonesJacqueline E. ScheinJared T. SimpsonKim WongRené L. WarrenBenjamin P. VandervalkJustin Chu
- Journals
- Bioinformatics (3 papers)BMC Bioinformatics (3 papers)PLoS ONE (3 papers)Genome Biology and Evolution (2 papers)BMC Genomics (2 papers)
- Partner nations
- CanadaUnited StatesBelgium
In The Last Decade
Shaun D. Jackman
31 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 2.8k
- Ecology 983
- Insect Science 448
- Plant Science 1.3k
- Endocrinology 167
Countries citing papers authored by Shaun D. Jackman
This map shows the geographic impact of Shaun D. Jackman'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 Shaun D. Jackman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaun D. Jackman more than expected).
Fields of papers citing papers by Shaun D. Jackman
This network shows the impact of papers produced by Shaun D. Jackman. 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 Shaun D. Jackman. The network helps show where Shaun D. Jackman may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaun D. Jackman, 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 | 2020 | 68 | |
| 2 | 2019 | 8 | |
| 3 | 2019 | 3 | |
| 4 | 2018 | 53 | |
| 5 | 2018 | 73 | |
| 6 | ABySS 2.0: resource-efficient assembly of large genomes using a Bloom filter Hit paper breakdown → | 2017 | 455 |
| 7 | 2016 | 25 | |
| 8 | 2016 | 4 | |
| 9 | 2015 | 36 | |
| 10 | 2015 | 90 | |
| 11 | 2015 | 39 | |
| 12 | 2015 | 7 | |
| 13 | 2014 | 62 | |
| 14 | 2014 | 0 | |
| 15 | 2013 | 76 | |
| 16 | 2013 | 55 | |
| 17 | 2011 | 33 | |
| 18 | 2010 | 20 | |
| 19 | ABySS: A parallel assembler for short read sequence data Hit paper breakdown → | 2009 | 2603 |
| 20 | 2009 | 46 |
About Shaun D. Jackman
Shaun D. Jackman is a scholar working on Molecular Biology, Ecology, Information Systems and Management, Insect Science and Plant Science, having authored 32 papers that have together received 4.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (24 papers), RNA and protein synthesis mechanisms (12 papers), Chromosomal and Genetic Variations (5 papers), Molecular Biology Techniques and Applications (4 papers), Bacteriophages and microbial interactions (3 papers), RNA modifications and cancer (3 papers), Algorithms and Data Compression (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Molecular Biology (2.8k citations), Ecology (983 citations), Insect Science (448 citations), Plant Science (1.3k citations) and Endocrinology (167 citations). Shaun D. Jackman has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include İnanç Birol, Steven J.M. Jones, Jacqueline E. Schein, Jared T. Simpson, Kim Wong, René L. Warren, Benjamin P. Vandervalk, Justin Chu, Lauren Coombe and Hamid Mohamadi. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, PLoS ONE, Genome Biology and Evolution and BMC Genomics.
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.