Michael J. Castle

987 total citations
18 papers, 739 citations indexed

About

Michael J. Castle is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael J. Castle has authored 18 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael J. Castle's work include Virus-based gene therapy research (7 papers), RNA Interference and Gene Delivery (5 papers) and Nerve injury and regeneration (2 papers). Michael J. Castle is often cited by papers focused on Virus-based gene therapy research (7 papers), RNA Interference and Gene Delivery (5 papers) and Nerve injury and regeneration (2 papers). Michael J. Castle collaborates with scholars based in United States, United Kingdom and Australia. Michael J. Castle's co-authors include John H. Wolfe, Luk H. Vandenberghe, Erika L.F. Holzbaur, Heikki Turunen, Zachary T. Gershenson, April R. Giles, Mark H. Tuszynski, Eran Perlson, Cassia N. Cearley and Roberto Calcedo and has published in prestigious journals such as Nature, Nature Biotechnology and Science Advances.

In The Last Decade

Michael J. Castle

15 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Castle United States 11 453 309 202 77 48 18 739
Gabriele Dekomien Germany 21 586 1.3× 301 1.0× 186 0.9× 60 0.8× 45 0.9× 65 1.1k
Andrew M. Hamilton United States 15 369 0.8× 169 0.5× 189 0.9× 93 1.2× 22 0.5× 20 761
Juha Kolehmainen Finland 12 247 0.5× 298 1.0× 98 0.5× 22 0.3× 28 0.6× 12 893
Julia Garcı́a-Hirschfeld Spain 8 238 0.5× 269 0.9× 104 0.5× 98 1.3× 33 0.7× 15 821
Alexandra Erven United Kingdom 9 673 1.5× 104 0.3× 287 1.4× 119 1.5× 27 0.6× 11 971
Monika Rehbein Germany 14 668 1.5× 159 0.5× 254 1.3× 33 0.4× 14 0.3× 18 997
Bryan J. Matthews United States 12 344 0.8× 84 0.3× 101 0.5× 39 0.5× 48 1.0× 20 672
Marco Benevento Netherlands 20 722 1.6× 323 1.0× 102 0.5× 7 0.1× 53 1.1× 30 1.1k
Richard Kollmar United States 18 521 1.2× 81 0.3× 199 1.0× 16 0.2× 145 3.0× 30 1.0k
Inês Sousa Portugal 13 240 0.5× 357 1.2× 100 0.5× 63 0.8× 30 0.6× 19 679

Countries citing papers authored by Michael J. Castle

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Castle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Castle. 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 Michael J. Castle. The network helps show where Michael J. Castle may publish in the future.

Co-authorship network of co-authors of Michael J. Castle

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

All Works

18 of 18 papers shown
1.
Niekerk, Erna A. van, Camila Marques Freria, B. Ogan Mancarci, et al.. (2025). Thiorphan reprograms neurons to promote functional recovery after spinal cord injury. Nature. 648(8093). 402–408.
2.
Rosenzweig, E, J. H. Brock, Hiromi Kumamaru, et al.. (2025). Extensive restoration of forelimb function in primates with spinal cord injury by neural stem cell transplantation. Nature Biotechnology.
3.
Castle, Michael J., Fernando C. Baltanás, Imre Kovács, et al.. (2020). Postmortem Analysis in a Clinical Trial of AAV2-NGF Gene Therapy for Alzheimer's Disease Identifies a Need for Improved Vector Delivery. Human Gene Therapy. 31(7-8). 415–422. 81 indexed citations
4.
Castle, Michael J., et al.. (2020). Intersectional targeting of defined neural circuits by adeno‐associated virus vectors. Journal of Neuroscience Research. 99(4). 981–990. 12 indexed citations
5.
Gurda, Brittney L., et al.. (2019). In Situ Hybridization for Detection of AAV-Mediated Gene Expression. Methods in molecular biology. 1950. 107–122. 5 indexed citations
6.
Castle, Michael J.. (2019). Adeno-Associated Virus Vectors: Design and Delivery. 3 indexed citations
7.
Castle, Michael J., et al.. (2018). Physical positioning markedly enhances brain transduction after intrathecal AAV9 infusion. Science Advances. 4(11). eaau9859–eaau9859. 26 indexed citations
8.
Castle, Michael J., Fernando C. Baltanás, Imre Kovács, et al.. (2018). P2‐027: TARGET ENGAGEMENT IN A PHASE II CLINICAL TRIAL OF AAV2‐NGF GENE THERAPY FOR ALZHEIMER'S DISEASE. Alzheimer s & Dementia. 14(7S_Part_12).
9.
Nimmo, Dale G., Raylene Cooke, Greg J. Holland, et al.. (2016). Fire and climatic extremes shape mammal distributions in a fire‐prone landscape. Diversity and Distributions. 22(11). 1127–1138. 51 indexed citations
10.
Castle, Michael J., Heikki Turunen, Luk H. Vandenberghe, & John H. Wolfe. (2015). Controlling AAV Tropism in the Nervous System with Natural and Engineered Capsids. Methods in molecular biology. 1382. 133–149. 118 indexed citations
11.
Castle, Michael J., Zachary T. Gershenson, April R. Giles, Erika L.F. Holzbaur, & John H. Wolfe. (2014). Adeno-Associated Virus Serotypes 1, 8, and 9 Share Conserved Mechanisms for Anterograde and Retrograde Axonal Transport. Human Gene Therapy. 25(8). 705–720. 106 indexed citations
12.
Castle, Michael J., Eran Perlson, Erika L.F. Holzbaur, & John H. Wolfe. (2013). Long-distance Axonal Transport of AAV9 Is Driven by Dynein and Kinesin-2 and Is Trafficked in a Highly Motile Rab7-positive Compartment. Molecular Therapy. 22(3). 554–566. 67 indexed citations
13.
Bennion, Douglas M., et al.. (2011). Transient receptor potential vanilloid 1 agonists modulate hippocampal CA1 LTP via the GABAergic system. Neuropharmacology. 61(4). 730–738. 43 indexed citations
14.
Vandenberghe, Luk H., Peter Bell, Albert M. Maguire, et al.. (2011). Dosage Thresholds for AAV2 and AAV8 Photoreceptor Gene Therapy in Monkey. Science Translational Medicine. 3(88). 88ra54–88ra54. 188 indexed citations
15.
Castle, John C., Cassia N. Cearley, R. Xiao, et al.. (2011). A Correction to the Research Article Titled: "Dosage Thresholds for AAV2 and AAV8 Photoreceptor Gene Therapy in Monkey" by L. H. Vandenberghe, P. Bell, A. M. Maguire,. 18 indexed citations
16.
Castle, Michael J., et al.. (2009). Health Reform: A Bipartisan View. Health Affairs. 28(Supplement 1). w169–w172. 2 indexed citations
17.
Hopkins, Rebecca J., et al.. (2009). UV-LIF lidar for standoff BW aerosol detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7484. 748409–748409. 6 indexed citations
18.
Baxter, Karen L., et al.. (2007). UK small scale UVLIF lidar for standoff BW detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6739. 67390Z–67390Z. 13 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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