Douglas M. McCarty

4.9k total citations · 1 hit paper
59 papers, 3.9k citations indexed

About

Douglas M. McCarty is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Douglas M. McCarty has authored 59 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Genetics, 30 papers in Molecular Biology and 20 papers in Physiology. Recurrent topics in Douglas M. McCarty's work include Virus-based gene therapy research (34 papers), Lysosomal Storage Disorders Research (19 papers) and RNA Interference and Gene Delivery (15 papers). Douglas M. McCarty is often cited by papers focused on Virus-based gene therapy research (34 papers), Lysosomal Storage Disorders Research (19 papers) and RNA Interference and Gene Delivery (15 papers). Douglas M. McCarty collaborates with scholars based in United States, France and Germany. Douglas M. McCarty's co-authors include R. Jude Samulski, Haiyan Fu, Samuel Young, Vivian W. Choi, Julianne DiRosario, Charles E. Toulson, Pooja Naik, Paul E. Monahan, Kimberly Zaraspe and Joseph Muenzer and has published in prestigious journals such as Nucleic Acids Research, Nature Medicine and PLoS ONE.

In The Last Decade

Douglas M. McCarty

58 papers receiving 3.8k citations

Hit Papers

Evaluating the state of the science for adeno-associated ... 2022 2026 2023 2024 2022 40 80 120

Peers

Douglas M. McCarty
Cathryn Mah United States
Peter Bell United States
Irene Zolotukhin United States
Sandra Afione United States
Melissa A. Rosenfeld United States
Xiao Xiao United States
Joseph E. Rabinowitz United States
Christian Hinderer United States
R. Scott McIvor United States
Cathryn Mah United States
Douglas M. McCarty
Citations per year, relative to Douglas M. McCarty Douglas M. McCarty (= 1×) peers Cathryn Mah

Countries citing papers authored by Douglas M. McCarty

Since Specialization
Citations

This map shows the geographic impact of Douglas M. McCarty'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 Douglas M. McCarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas M. McCarty more than expected).

Fields of papers citing papers by Douglas M. McCarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Douglas M. McCarty. 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 Douglas M. McCarty. The network helps show where Douglas M. McCarty may publish in the future.

Co-authorship network of co-authors of Douglas M. McCarty

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas M. McCarty. A scholar is included among the top collaborators of Douglas M. McCarty 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 Douglas M. McCarty. Douglas M. McCarty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chung, Cheng-Han, Vincent P. M. Wingate, Jeffrey W. Pavlicek, et al.. (2023). Production of rAAV by plasmid transfection induces antiviral and inflammatory responses in suspension HEK293 cells. Molecular Therapy — Methods & Clinical Development. 28. 272–283. 28 indexed citations
2.
Muhuri, Manish, David Lévy, Martin Schulz, Douglas M. McCarty, & Guangping Gao. (2022). Durability of transgene expression after rAAV gene therapy. Molecular Therapy. 30(4). 1364–1380. 67 indexed citations
3.
Huey, Devra, et al.. (2021). Immunogenicity and inflammatory properties of respiratory syncytial virus attachment G protein in cotton rats. PLoS ONE. 16(2). e0246770–e0246770. 8 indexed citations
4.
Fu, Haiyan, et al.. (2018). Targeting Root Cause by Systemic scAAV9-hIDS Gene Delivery: Functional Correction and Reversal of Severe MPS II in Mice. Molecular Therapy — Methods & Clinical Development. 10. 327–340. 16 indexed citations
7.
Fu, Haiyan, Douglas M. McCarty, Kelly McNally, et al.. (2016). A prospective one-year natural history study of mucopolysaccharidosis types IIIA and IIIB: Implications for clinical trial design. Molecular Genetics and Metabolism. 119(3). 239–248. 40 indexed citations
8.
Fu, Haiyan & Douglas M. McCarty. (2016). Crossing the blood–brain-barrier with viral vectors. Current Opinion in Virology. 21. 87–92. 44 indexed citations
9.
Meadows, Aaron S., F. Jason Duncan, Marybeth Camboni, et al.. (2015). A GLP-Compliant Toxicology and Biodistribution Study: Systemic Delivery of an rAAV9 Vector for the Treatment of Mucopolysaccharidosis IIIB. PubMed. 26(4). 228–242. 20 indexed citations
10.
Murrey, Darren, Bartholomew J. Naughton, F. Jason Duncan, et al.. (2014). Feasibility and Safety of Systemic rAAV9-h NAGLU Delivery for Treating Mucopolysaccharidosis IIIB: Toxicology, Biodistribution, and Immunological Assessments in Primates. PubMed. 25(2). 72–84. 83 indexed citations
11.
Murrey, Darren, Bartholomew J. Naughton, F. Jason Duncan, et al.. (2014). Feasibility and Safety of Systemic rAAV9-hNAGLU Delivery for Treating MPS IIIB: Toxicology, Bio-distribution and Immunological Assessments in Primates. 776275620–776275620. 6 indexed citations
12.
Pythoud, Catherine, Marc Levivier, Douglas M. McCarty, et al.. (2012). Rapid Transgene Expression in Multiple Precursor Cell Types of Adult Rat Subventricular Zone Mediated by Adeno-Associated Type 1 Vectors. Human Gene Therapy. 23(7). 742–753. 13 indexed citations
13.
Cataldi, Marcela P. & Douglas M. McCarty. (2012). Hairpin-end conformation of adeno-associated virus genome determines interactions with DNA-repair pathways. Gene Therapy. 20(6). 686–693. 16 indexed citations
14.
Fu, Haiyan, Julianne DiRosario, Kang Lu, Joseph Muenzer, & Douglas M. McCarty. (2010). Restoration of central nervous system α‐N‐acetylglucosaminidase activity and therapeutic benefits in mucopolysaccharidosis IIIB mice by a single intracisternal recombinant adeno‐associated viral type 2 vector delivery. The Journal of Gene Medicine. 12(7). 624–633. 34 indexed citations
15.
McCarty, Douglas M., et al.. (2009). Mannitol-facilitated CNS entry of rAAV2 vector significantly delayed the neurological disease progression in MPS IIIB mice. Gene Therapy. 16(11). 1340–1352. 87 indexed citations
16.
DiRosario, Julianne, Chuansong Wang, Jonathan P. Etter, et al.. (2008). Innate and adaptive immune activation in the brain of MPS IIIB mouse model. Journal of Neuroscience Research. 87(4). 978–990. 81 indexed citations
17.
Hacker, Ulrich, David M. Kofler, Tobias Herold, et al.. (2005). Adeno-associated virus serotypes 1 to 5 mediated tumor cell directed gene transfer and improvement of transduction efficiency. The Journal of Gene Medicine. 7(11). 1429–1438. 51 indexed citations
18.
Fu, Haiyan, Joseph Muenzer, R. Jude Samulski, et al.. (2003). Self-complementary adeno-associated virus serotype 2 vector: global distribution and broad dispersion of AAV-mediated transgene expression in mouse brain. Molecular Therapy. 8(6). 911–917. 137 indexed citations
19.
Chen, Hong, et al.. (1999). Oligodendrocyte-specific gene expression in mouse brain: Use of a myelin-forming cell type-specific promoter in an adeno-associated virus. Journal of Neuroscience Research. 55(4). 504–513. 54 indexed citations
20.
Xiao, Xiao, et al.. (1997). New developments in the generation of Ad-free, high-titer rAAV gene therapy vectors. Nature Medicine. 3(11). 1295–1297. 88 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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