Garth W. Devlin
Impact in
-
- Virus-based gene therapy research
- Biophysics top 10%
- Advanced Fluorescence Microscopy Techniques
Papers in
- Genetics 10
- Virus-based gene therapy research 10
-
- CRISPR and Genetic Engineering 2
- Co-authors
- Aravind Asokan (14 shared papers)Charles A. Gersbach (4 shared papers)Katherine E. Simon (2 shared papers)Daniel K. Oh (2 shared papers)L. Patrick Havlik (2 shared papers)Zachary C. Elmore (1 shared paper)Heather A. Vincent (1 shared paper)George Gaby Daaboul (1 shared paper)
- Journals
- Nature Communications (2 papers)Disease Models & Mechanisms (1 paper)Science Translational Medicine (1 paper)Science Advances (1 paper)Cell stem cell (1 paper)
- Partner nations
- United StatesIsraelChina
In The Last Decade
Garth W. Devlin
16 papers receiving 480 citations
Peers
Comparison fields: 5 of 63
- Genetics 148
- Biophysics 29
- Developmental Neuroscience 10
- Molecular Biology 197
- Genetics 22
Countries citing papers authored by Garth W. Devlin
This map shows the geographic impact of Garth W. Devlin'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 Garth W. Devlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garth W. Devlin more than expected).
Fields of papers citing papers by Garth W. Devlin
This network shows the impact of papers produced by Garth W. Devlin. 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 Garth W. Devlin. The network helps show where Garth W. Devlin may publish in the future.
Co-authors
The 25 scholars most cited alongside Garth W. Devlin, 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 | 84 | |
| 2 | 2022 | 61 | |
| 3 | 2021 | 59 | |
| 4 | 2021 | 57 | |
| 5 | 2022 | 52 | |
| 6 | 2019 | 51 | |
| 7 | 2020 | 49 | |
| 8 | 2024 | 43 | |
| 9 | 2022 | 19 | |
| 10 | 2023 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2026 | 1 | |
| 17 | 2026 | 0 |
About Garth W. Devlin
Garth W. Devlin is a scholar working on Genetics, Genetics, Molecular Biology, Developmental Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 495 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Cardiac Imaging and Diagnostics (2 papers), CRISPR and Genetic Engineering (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), HIV Research and Treatment (1 paper), Lipid metabolism and disorders (1 paper) and Complement system in diseases (1 paper). The work is most often cited by research in Genetics (148 citations), Biophysics (29 citations), Developmental Neuroscience (10 citations), Molecular Biology (197 citations) and Genetics (22 citations). Garth W. Devlin has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Aravind Asokan, Charles A. Gersbach, Katherine E. Simon, Daniel K. Oh, L. Patrick Havlik, Zachary C. Elmore, Heather A. Vincent, George Gaby Daaboul, William H. Majoros and Jacqueline N. Robinson-Hamm. Their work appears in journals such as Nature Communications, Disease Models & Mechanisms, Science Translational Medicine, Science Advances and Cell stem 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.