Gordon Stephen
Impact in
- Endocrinology top 5%
- Plant Science top 5%
- Plant Virus Research Studies
- Wheat and Barley Genetics and Pathology
- Chromosomal and Genetic Variations
- Plant Disease Resistance and Genetics
Papers in
-
- Genomics and Phylogenetic Studies 9
- RNA and protein synthesis mechanisms 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Gene expression and cancer classification 2
- Genetics 4
- Genetic Mapping and Diversity in Plants and Animals 3
- Co-authors
- Iain Milne (9 shared papers)Micha Bayer (8 shared papers)David Marshall (8 shared papers)Linda Cardle (5 shared papers)Paul D. Shaw (5 shared papers)Peter Cock (1 shared paper)Leighton Pritchard (1 shared paper)Frank Wright (2 shared papers)
- Journals
- Bioinformatics (3 papers)BMC Genomics (1 paper)RNA Biology (1 paper)BMC Bioinformatics (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- United KingdomAustraliaMexico
In The Last Decade
Gordon Stephen
11 papers receiving 1.6k citations
Gordon Stephen's Hit Papers
Peers
Comparison fields: 5 of 95
- Endocrinology 114
- Plant Science 673
- Genetics 357
- Molecular Biology 790
- Ecology 243
Countries citing papers authored by Gordon Stephen
This map shows the geographic impact of Gordon Stephen'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 Gordon Stephen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon Stephen more than expected).
Fields of papers citing papers by Gordon Stephen
This network shows the impact of papers produced by Gordon Stephen. 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 Gordon Stephen. The network helps show where Gordon Stephen may publish in the future.
Co-authors
The 25 scholars most cited alongside Gordon Stephen, 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 | Using Tablet for visual exploration of second-generation sequencing data Hit paper breakdown → | 2012 | 702 |
| 2 | Tablet—next generation sequence assembly visualization Hit paper breakdown → | 2009 | 527 |
| 3 | 2010 | 142 | |
| 4 | 2020 | 87 | |
| 5 | 2019 | 45 | |
| 6 | 2015 | 35 | |
| 7 | 2011 | 35 | |
| 8 | 2015 | 32 | |
| 9 | 2014 | 29 | |
| 10 | 2017 | 14 | |
| 11 | 2018 | 1 |
About Gordon Stephen
Gordon Stephen is a scholar working on Molecular Biology, Genetics, Plant Science, Endocrinology and Infectious Diseases, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), RNA and protein synthesis mechanisms (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Wheat and Barley Genetics and Pathology (2 papers), Plant Disease Resistance and Genetics (2 papers), Gene expression and cancer classification (2 papers) and Plant Pathogens and Resistance (2 papers). The work is most often cited by research in Endocrinology (114 citations), Plant Science (673 citations), Genetics (357 citations), Molecular Biology (790 citations) and Ecology (243 citations). Gordon Stephen has collaborated with scholars based in United Kingdom, Australia and Mexico. Frequent co-authors include Iain Milne, Micha Bayer, David Marshall, Linda Cardle, Paul D. Shaw, Peter Cock, Leighton Pritchard, Frank Wright, Andrew J. Flavell and William Thomas. Their work appears in journals such as Bioinformatics, BMC Genomics, RNA Biology, BMC Bioinformatics and Briefings in Bioinformatics.
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.