Joshua C. Grieger

3.4k total citations
21 papers, 2.6k citations indexed

About

Joshua C. Grieger is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Joshua C. Grieger has authored 21 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 12 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Joshua C. Grieger's work include Virus-based gene therapy research (17 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers) and CAR-T cell therapy research (5 papers). Joshua C. Grieger is often cited by papers focused on Virus-based gene therapy research (17 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers) and CAR-T cell therapy research (5 papers). Joshua C. Grieger collaborates with scholars based in United States, France and China. Joshua C. Grieger's co-authors include R. Jude Samulski, Vivian W. Choi, Nathalie Clément, Stephen Soltys, Mavis Agbandje‐McKenna, L. Govindasamy, Steven J. Gray, Zhijian Wu, Aravind Asokan and Chengwen Li and has published in prestigious journals such as Nature Communications, Journal of Virology and Nature Protocols.

In The Last Decade

Joshua C. Grieger

20 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua C. Grieger United States 17 1.9k 1.7k 383 290 264 21 2.6k
R. Jude Samulski United States 21 2.3k 1.2× 2.2k 1.3× 534 1.4× 391 1.3× 285 1.1× 33 3.0k
Peter Colosi United States 28 2.6k 1.4× 2.1k 1.2× 455 1.2× 270 0.9× 238 0.9× 46 3.5k
Phillip W.L. Tai United States 25 3.2k 1.7× 2.1k 1.2× 542 1.4× 341 1.2× 315 1.2× 53 4.1k
Clare E. Thomas United Kingdom 13 2.5k 1.3× 1.8k 1.0× 394 1.0× 150 0.5× 215 0.8× 18 3.2k
Mark Potter United States 14 1.8k 0.9× 1.7k 1.0× 314 0.8× 292 1.0× 312 1.2× 18 2.7k
Jeffrey S. Bartlett United States 19 1.8k 0.9× 2.0k 1.1× 374 1.0× 322 1.1× 346 1.3× 33 2.6k
Cathryn Mah United States 29 2.2k 1.2× 2.0k 1.2× 371 1.0× 466 1.6× 299 1.1× 38 3.3k
Masashi Urabe Japan 29 2.2k 1.1× 1.7k 1.0× 547 1.4× 326 1.1× 248 0.9× 98 3.3k
Leszek Lisowski Australia 25 1.7k 0.9× 1.2k 0.7× 252 0.7× 206 0.7× 180 0.7× 80 2.3k

Countries citing papers authored by Joshua C. Grieger

Since Specialization
Citations

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

Fields of papers citing papers by Joshua C. Grieger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua C. Grieger. 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 Joshua C. Grieger. The network helps show where Joshua C. Grieger may publish in the future.

Co-authorship network of co-authors of Joshua C. Grieger

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua C. Grieger. A scholar is included among the top collaborators of Joshua C. Grieger 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 Joshua C. Grieger. Joshua C. Grieger 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.
Samulski, R. Jude, et al.. (2022). Gene therapy approaches for equine osteoarthritis. Frontiers in Veterinary Science. 9. 962898–962898. 4 indexed citations
2.
Kim, Ahyoung, Felix M. Duerr, Jennifer N. Phillips, et al.. (2022). Serotype-specific transduction of canine joint tissue explants and cultured monolayers by self-complementary adeno-associated viral vectors. Gene Therapy. 30(3-4). 398–404.
3.
Drouin, Lauren M., Zhijian Wu, R. Jude Samulski, et al.. (2020). Generation of Novel AAV Variants by Directed Evolution for Improved CFTR Delivery to Human Ciliated Airway Epithelium. UNC Libraries. 1 indexed citations
4.
Tan, Yong Zi, Sriram Aiyer, Mario Mietzsch, et al.. (2018). Sub-2 Å Ewald curvature corrected structure of an AAV2 capsid variant. Nature Communications. 9(1). 3628–3628. 63 indexed citations
5.
Evans, Christopher H., Janet M. Benson, Julie A. Hutt, et al.. (2016). Safety and biodistribution assessment of sc-rAAV2.5IL-1Ra administered via intra-articular injection in a mono-iodoacetate-induced osteoarthritis rat model. Molecular Therapy — Methods & Clinical Development. 3. 15052–15052. 34 indexed citations
6.
Clément, Nathalie & Joshua C. Grieger. (2016). Manufacturing of recombinant adeno-associated viral vectors for clinical trials. Molecular Therapy — Methods & Clinical Development. 3. 16002–16002. 218 indexed citations
7.
8.
Grieger, Joshua C., Stephen Soltys, & R. Jude Samulski. (2015). Production of Recombinant Adeno-associated Virus Vectors Using Suspension HEK293 Cells and Continuous Harvest of Vector From the Culture Media for GMP FIX and FLT1 Clinical Vector. Molecular Therapy. 24(2). 287–297. 233 indexed citations
9.
10.
Goodrich, Laurie R., Jennifer N. Phillips, C. Wayne McIlwraith, et al.. (2013). Optimization of scAAVIL-1ra In Vitro and In Vivo to Deliver High Levels of Therapeutic Protein for Treatment of Osteoarthritis. Molecular Therapy — Nucleic Acids. 2. e70–e70. 44 indexed citations
11.
Qiao, Chunping, Chengwen Li, Chunxia Zhao, et al.. (2013). K137R Mutation on Adeno-Associated Viral Capsids Had Minimal Effect on Enhancing Gene Delivery In Vivo. Human Gene Therapy Methods. 25(1). 33–39. 3 indexed citations
12.
Grieger, Joshua C. & R. Jude Samulski. (2012). Adeno-Associated Virus Vectorology, Manufacturing, and Clinical Applications. Methods in enzymology on CD-ROM/Methods in enzymology. 507. 229–254. 143 indexed citations
13.
Bowles, Dawn E., Scott McPhee, Chengwen Li, et al.. (2011). Phase 1 Gene Therapy for Duchenne Muscular Dystrophy Using a Translational Optimized AAV Vector. Molecular Therapy. 20(2). 443–455. 306 indexed citations
14.
Federici, Thais, Griffin R. Baum, Steven J. Gray, et al.. (2011). Robust spinal motor neuron transduction following intrathecal delivery of AAV9 in pigs. Gene Therapy. 19(8). 852–859. 127 indexed citations
15.
Li, Wuping, Liqun Zhang, Jarrod S. Johnson, et al.. (2009). Generation of Novel AAV Variants by Directed Evolution for Improved CFTR Delivery to Human Ciliated Airway Epithelium. Molecular Therapy. 17(12). 2067–2077. 67 indexed citations
16.
Wu, Zhijian, Aravind Asokan, Joshua C. Grieger, et al.. (2006). Single Amino Acid Changes Can Influence Titer, Heparin Binding, and Tissue Tropism in Different Adeno-Associated Virus Serotypes. Journal of Virology. 80(22). 11393–11397. 182 indexed citations
17.
Grieger, Joshua C., Vivian W. Choi, & R. Jude Samulski. (2006). Production and characterization of adeno-associated viral vectors. Nature Protocols. 1(3). 1412–1428. 443 indexed citations
18.
Grieger, Joshua C., et al.. (2006). Separate Basic Region Motifs within the Adeno-Associated Virus Capsid Proteins Are Essential for Infectivity and Assembly. Journal of Virology. 80(11). 5199–5210. 136 indexed citations
19.
Grieger, Joshua C. & R. Jude Samulski. (2005). Adeno-associated Virus as a Gene Therapy Vector: Vector Development, Production and Clinical Applications. Advances in biochemical engineering, biotechnology. 99. 119–145. 103 indexed citations
20.
Grieger, Joshua C. & R. Jude Samulski. (2005). Packaging Capacity of Adeno-Associated Virus Serotypes: Impact of Larger Genomes on Infectivity and Postentry Steps. Journal of Virology. 79(15). 9933–9944. 300 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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