Gavin Hanson
Impact in
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- RNA Interference and Gene Delivery
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 5
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 5
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- Functional Brain Connectivity Studies 1
- Co-authors
- Jeff Coller (5 shared papers)Thomas J. Sweet (4 shared papers)Najwa Alhusaini (2 shared papers)Jordan L. Meier (1 shared paper)Daniel Arango (2 shared papers)Þorkell Andrésson (1 shared paper)Stephen D. Fox (1 shared paper)Thomas Zengeya (1 shared paper)
- Journals
- Nature Reviews Molecular Cell Biology (1 paper)Brain stimulation (1 paper)Cell (1 paper)Journal of Cognitive Neuroscience (1 paper)RNA (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Gavin Hanson
7 papers receiving 1.2k citations
Gavin Hanson's Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.1k
- Cancer Research 215
- Energy Engineering and Power Technology 12
- Genetics 96
- Aging 6
Countries citing papers authored by Gavin Hanson
This map shows the geographic impact of Gavin Hanson'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 Hanson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin Hanson more than expected).
Fields of papers citing papers by Gavin Hanson
This network shows the impact of papers produced by Gavin Hanson. 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 Hanson. The network helps show where Gavin Hanson may publish in the future.
Co-authors
The 25 scholars most cited alongside Gavin Hanson, 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 | Acetylation of Cytidine in mRNA Promotes Translation Efficiency Hit paper breakdown → | 2018 | 566 |
| 2 | Codon optimality, bias and usage in translation and mRNA decay Hit paper breakdown → | 2017 | 515 |
| 3 | 2020 | 66 | |
| 4 | 2018 | 38 | |
| 5 | 2017 | 5 | |
| 6 | 2017 | 2 | |
| 7 | 2018 | 1 |
About Gavin Hanson
Gavin Hanson is a scholar working on Molecular Biology, Cognitive Neuroscience, Artificial Intelligence, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (5 papers), Rough Sets and Fuzzy Logic (1 paper), Transcranial Magnetic Stimulation Studies (1 paper), Cognitive Science and Mapping (1 paper), Advanced MRI Techniques and Applications (1 paper) and Functional Brain Connectivity Studies (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (215 citations), Energy Engineering and Power Technology (12 citations), Genetics (96 citations) and Aging (6 citations). Gavin Hanson has collaborated with scholars based in United States and Canada. Frequent co-authors include Jeff Coller, Thomas J. Sweet, Najwa Alhusaini, Jordan L. Meier, Daniel Arango, Þorkell Andrésson, Stephen D. Fox, Thomas Zengeya, Kyster K. Nanan and David Sturgill. Their work appears in journals such as Nature Reviews Molecular Cell Biology, Brain stimulation, Cell, Journal of Cognitive Neuroscience and RNA.
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.