Gavin J. Sutton
Impact in
- Genetics top 10%
- Genetics and Neurodevelopmental Disorders
- Genetic Associations and Epidemiology
- Genomic variations and chromosomal abnormalities
-
- Genomics and Chromatin Dynamics
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
Papers in
-
- Single-cell and spatial transcriptomics 4
- Genomics and Chromatin Dynamics 1
- Genomics and Phylogenetic Studies 1
- Gene expression and cancer classification 1
- Cancer-related gene regulation 1
- Genetics 2
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Irina Voineagu (7 shared papers)Jerry I. Huang (2 shared papers)Hyejung Won (2 shared papers)Luis de la Torre-Ubieta (1 shared paper)Carli K. Opland (2 shared papers)Jason L. Stein (2 shared papers)Michael J. Gandal (2 shared papers)Chang‐Hoon Lee (2 shared papers)
- Journals
- Briefings in Bioinformatics (2 papers)JACC Basic to Translational Science (1 paper)Nature Communications (1 paper)Nature (1 paper)Cell (1 paper)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Gavin J. Sutton
8 papers receiving 544 citations
Gavin J. Sutton's Hit Papers
Peers
Comparison fields: 5 of 61
- Genetics 195
- Molecular Biology 389
- Developmental Neuroscience 20
- Biological Psychiatry 8
- Neurology 26
Countries citing papers authored by Gavin J. Sutton
This map shows the geographic impact of Gavin J. Sutton'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 Gavin J. Sutton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin J. Sutton more than expected).
Fields of papers citing papers by Gavin J. Sutton
This network shows the impact of papers produced by Gavin J. Sutton. 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 Gavin J. Sutton. The network helps show where Gavin J. Sutton may publish in the future.
Co-authors
The 25 scholars most cited alongside Gavin J. Sutton, 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 | Chromosome conformation elucidates regulatory relationships in developing human brain Hit paper breakdown → | 2016 | 357 |
| 2 | 2022 | 97 | |
| 3 | 2022 | 62 | |
| 4 | 2021 | 15 | |
| 5 | 2016 | 11 | |
| 6 | 2020 | 2 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 0 |
About Gavin J. Sutton
Gavin J. Sutton is a scholar working on Molecular Biology, Genetics, Cancer Research, Biophysics and Infectious Diseases, having authored 9 papers that have together received 546 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Genetics and Neurodevelopmental Disorders (2 papers), Cancer-related molecular mechanisms research (2 papers), Genomics and Chromatin Dynamics (1 paper), Genomics and Phylogenetic Studies (1 paper), MicroRNA in disease regulation (1 paper), Gene expression and cancer classification (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Genetics (195 citations), Molecular Biology (389 citations), Developmental Neuroscience (20 citations), Biological Psychiatry (8 citations) and Neurology (26 citations). Gavin J. Sutton has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Irina Voineagu, Jerry I. Huang, Hyejung Won, Luis de la Torre-Ubieta, Carli K. Opland, Jason L. Stein, Michael J. Gandal, Chang‐Hoon Lee, Neelroop Parikshak and Farhad Hormozdiari. Their work appears in journals such as Briefings in Bioinformatics, JACC Basic to Translational Science, Nature Communications, Nature and Cell.
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.