Stuart G. Beattie
- Molecular Biology
- Genetics top 10%
- Cellular and Molecular Neuroscience top 10%
- Oncology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Thurman M. WheelerMaurice S. SwansonYuan YuanJihae ShinRahul KanadiaCharles A. ThorntonHarald PetryJesús Prìeto
- Topics
- Virus-based gene therapy research (11 papers)RNA Interference and Gene Delivery (4 papers)Viral Infectious Diseases and Gene Expression in Insects (3 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Stuart G. Beattie
16 papers receiving 782 citations
Peers
Comparison fields: 5 of 59
- Molecular Biology 640
- Genetics 306
- Cellular and Molecular Neuroscience 223
- Oncology 107
- Cardiology and Cardiovascular Medicine 93
Countries citing papers authored by Stuart G. Beattie
This map shows the geographic impact of Stuart G. Beattie'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 Stuart G. Beattie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stuart G. Beattie more than expected).
Fields of papers citing papers by Stuart G. Beattie
This network shows the impact of papers produced by Stuart G. Beattie. 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 Stuart G. Beattie. The network helps show where Stuart G. Beattie may publish in the future.
Co-authorship network of co-authors of Stuart G. Beattie
This figure shows the co-authorship network connecting the top 25 collaborators of Stuart G. Beattie. A scholar is included among the top collaborators of Stuart G. Beattie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stuart G. Beattie. Stuart G. Beattie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 138 | |
| 4 | 56 | |
| 5 | 50 | |
| 6 | 10 | |
| 7 | 50 | |
| 8 | 49 | |
| 9 | 14 | |
| 10 | 88 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 44 | |
| 14 | 274 | |
| 15 | 6 | |
| 16 | Oligonucleotide-based gene correction strategies: applications to neuromuscular and cardiovascular diseases. | 1 |
About Stuart G. Beattie
Stuart G. Beattie is a scholar working on Genetics, Clinical Biochemistry and Molecular Biology, having authored 16 papers that have together received 797 indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), RNA Interference and Gene Delivery (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (223 citations), Genetics (306 citations) and Molecular Biology (640 citations). Stuart G. Beattie has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Thurman M. Wheeler, Maurice S. Swanson, Yuan Yuan, Jihae Shin, Rahul Kanadia, Charles A. Thornton, Harald Petry, Jesús Prìeto, Gloria González‐Aseguinolaza and Antonio Fontanellas. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Molecular Therapy.
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.