Michael Garton
Impact in
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- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Chemical Synthesis and Analysis
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
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- RNA and protein synthesis mechanisms 6
- Chemical Synthesis and Analysis 4
- Genomics and Chromatin Dynamics 3
- Protein Structure and Dynamics 3
- Machine Learning in Bioinformatics 1
- Protein Degradation and Inhibitors 1
- Lipid Membrane Structure and Behavior 1
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- Click Chemistry and Applications 2
- Co-authors
- Philip M. Kim (8 shared papers)Timothy R. Hughes (3 shared papers)Hamed S. Najafabadi (3 shared papers)Satra Nim (3 shared papers)Ernest Radovani (2 shared papers)Frank W. Schmitges (2 shared papers)Sanié Mnaimneh (2 shared papers)Matthew T. Weirauch (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)The Annual Review of Pharmacology and Toxicology (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Michael Garton
12 papers receiving 493 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 418
- Microbiology 27
- Plant Science 68
- Genetics 50
- Radiology, Nuclear Medicine and Imaging 36
Countries citing papers authored by Michael Garton
This map shows the geographic impact of Michael Garton'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 Michael Garton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Garton more than expected).
Fields of papers citing papers by Michael Garton
This network shows the impact of papers produced by Michael Garton. 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 Michael Garton. The network helps show where Michael Garton may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Garton, 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 | 2015 | 234 | |
| 2 | 2018 | 99 | |
| 3 | 2016 | 38 | |
| 4 | 2015 | 37 | |
| 5 | 2017 | 26 | |
| 6 | 2018 | 12 | |
| 7 | 2013 | 12 | |
| 8 | 2017 | 10 | |
| 9 | 2018 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2020 | 3 |
About Michael Garton
Michael Garton is a scholar working on Molecular Biology, Organic Chemistry, Infectious Diseases, Cellular and Molecular Neuroscience and Ecology, having authored 12 papers that have together received 495 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Chemical Synthesis and Analysis (4 papers), Genomics and Chromatin Dynamics (3 papers), Protein Structure and Dynamics (3 papers), Click Chemistry and Applications (2 papers), Machine Learning in Bioinformatics (1 paper), Protein Degradation and Inhibitors (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Molecular Biology (418 citations), Microbiology (27 citations), Plant Science (68 citations), Genetics (50 citations) and Radiology, Nuclear Medicine and Imaging (36 citations). Michael Garton has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Philip M. Kim, Timothy R. Hughes, Hamed S. Najafabadi, Satra Nim, Ernest Radovani, Frank W. Schmitges, Sanié Mnaimneh, Matthew T. Weirauch, Ally Yang and Jack Greenblatt. Their work appears in journals such as Nucleic Acids Research, Philosophical Transactions of the Royal Society B Biological Sciences, The Annual Review of Pharmacology and Toxicology, Proteins Structure Function and Bioinformatics and Journal of Molecular Biology.
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.