Stuart G. Beattie

1.9k total citations
16 papers, 797 citations indexed

About

Stuart G. Beattie is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Stuart G. Beattie has authored 16 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Stuart G. Beattie's 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). Stuart G. Beattie is often cited by papers focused on 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). Stuart G. Beattie collaborates with scholars based in Spain, United Kingdom and United States. Stuart G. Beattie's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Molecular Therapy.

In The Last Decade

Stuart G. Beattie

16 papers receiving 782 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stuart G. Beattie Spain 10 640 306 223 107 93 16 797
Maria V. Shutova Russia 9 533 0.8× 282 0.9× 46 0.2× 87 0.8× 43 0.5× 14 688
Kirsten Erger United States 13 517 0.8× 314 1.0× 71 0.3× 67 0.6× 32 0.3× 21 652
Georg Bohn Germany 9 455 0.7× 375 1.2× 152 0.7× 110 1.0× 96 1.0× 14 920
Mahesh de Alwis United Kingdom 9 645 1.0× 456 1.5× 87 0.4× 60 0.6× 77 0.8× 10 788
Patricia Pasturaud France 8 930 1.5× 129 0.4× 358 1.6× 97 0.9× 120 1.3× 9 1.2k
Charis L. Himeda United States 19 894 1.4× 318 1.0× 47 0.2× 45 0.4× 186 2.0× 25 995
Bijoy Thattaliyath United States 9 446 0.7× 277 0.9× 34 0.2× 31 0.3× 233 2.5× 23 667
M. Mannens Netherlands 15 595 0.9× 314 1.0× 35 0.2× 43 0.4× 106 1.1× 30 836
Hayley Spearman United Kingdom 13 376 0.6× 145 0.5× 60 0.3× 95 0.9× 15 0.2× 17 726
Tanya M. McLaughlin United States 8 317 0.5× 75 0.2× 106 0.5× 37 0.3× 39 0.4× 9 712

Countries citing papers authored by Stuart G. Beattie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

16 of 16 papers shown
1.
2.
Bennett, Simon J., et al.. (2020). Regulatory considerations in the development of gene therapies for neurological disorders in the EU region: an industry perspective. Cell and Gene Therapy Insights. 6(5). 877–885. 1 indexed citations
3.
Kaeppel, Christine, Stuart G. Beattie, Raffaele Fronza, et al.. (2013). A largely random AAV integration profile after LPLD gene therapy. Nature Medicine. 19(7). 889–891. 138 indexed citations
4.
Unzu, Carmen, Sandra Hervás‐Stubbs, Ana Sampedro, et al.. (2012). Transient and intensive pharmacological immunosuppression fails to improve AAV-based liver gene transfer in non-human primates. Journal of Translational Medicine. 10(1). 122–122. 56 indexed citations
5.
Vanrell, Lucía, Marianna Di Scala, Laura Blanco, et al.. (2011). Development of a Liver-specific Tet-On Inducible System for AAV Vectors and Its Application in the Treatment of Liver Cancer. Molecular Therapy. 19(7). 1245–1253. 50 indexed citations
6.
Pañeda, Astrid, María Collantes, Stuart G. Beattie, et al.. (2011). Adeno-Associated Virus Liver Transduction Efficiency Measured by in Vivo [ 18 F]FHBG Positron Emission Tomography Imaging in Rodents and Nonhuman Primates. Human Gene Therapy. 22(8). 999–1009. 10 indexed citations
7.
Unzu, Carmen, Ana Sampedro, Itsaso Mauleón, et al.. (2010). Sustained Enzymatic Correction by rAAV-Mediated Liver Gene Therapy Protects Against Induced Motor Neuropathy in Acute Porphyria Mice. Molecular Therapy. 19(2). 243–250. 50 indexed citations
8.
Salido, Eduardo, et al.. (2010). Phenotypic Correction of a Mouse Model for Primary Hyperoxaluria With Adeno-associated Virus Gene Transfer. Molecular Therapy. 19(5). 870–875. 49 indexed citations
9.
Vaessen, Stefan F.C., Robert Jan Veldman, Jolanda Snapper, et al.. (2009). AAV gene therapy as a means to increase apolipoprotein (Apo) A‐I and high‐density lipoprotein‐cholesterol levels: correction of murine ApoA‐I deficiency. The Journal of Gene Medicine. 11(8). 697–707. 14 indexed citations
10.
Pañeda, Astrid, Lucía Vanrell, Itsaso Mauleón, et al.. (2009). Effect of Adeno-Associated Virus Serotype and Genomic Structure on Liver Transduction and Biodistribution in Mice of Both Genders. Human Gene Therapy. 20(8). 908–917. 88 indexed citations
11.
Beattie, Stuart G., Eric S. Goetzman, Thomas J. Conlon, et al.. (2008). Recombinant adeno‐associated virus‐mediated gene delivery of long chain acyl coenzyme A dehydrogenase (LCAD) into LCAD‐deficient mice. The Journal of Gene Medicine. 10(10). 1113–1123. 5 indexed citations
12.
Beattie, Stuart G., Eric S. Goetzman, Thomas J. Conlon, et al.. (2008). Biochemical Correction of Short-Chain Acyl-Coenzyme A Dehydrogenase Deficiency After Portal Vein Injection of rAAV8-SCAD. Human Gene Therapy. 19(6). 579–588. 9 indexed citations
13.
Cruz, Pedro E., Christian Mueller, Travis Cossette, et al.. (2007). In vivo post-transcriptional gene silencing of α-1 antitrypsin by adeno-associated virus vectors expressing siRNA. Laboratory Investigation. 87(9). 893–902. 44 indexed citations
14.
Kanadia, Rahul, Jihae Shin, Yuan Yuan, et al.. (2006). Reversal of RNA missplicing and myotonia after muscleblind overexpression in a mouse poly(CUG) model for myotonic dystrophy. Proceedings of the National Academy of Sciences. 103(31). 11748–11753. 274 indexed citations
15.
Harris, Julian D., Stuart G. Beattie, & J.G. Dickson. (2003). Novel Tools for Production and Purification of Recombinant Adeno-Associated Viral Vectors. Humana Press eBooks. 76. 255–268. 6 indexed citations
16.
Graham, Ian R., Stuart G. Beattie, Vanessa J. Hill, & George Dickson. (2001). Oligonucleotide-based gene correction strategies: applications to neuromuscular and cardiovascular diseases.. PubMed. 42(4). 467–72. 1 indexed citations

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.

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