Zachary Fitzpatrick

1.7k total citations
17 papers, 1.2k citations indexed

About

Zachary Fitzpatrick is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Zachary Fitzpatrick has authored 17 papers receiving a total of 1.2k 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 Neurology. Recurrent topics in Zachary Fitzpatrick's work include Virus-based gene therapy research (7 papers), Extracellular vesicles in disease (5 papers) and RNA Interference and Gene Delivery (5 papers). Zachary Fitzpatrick is often cited by papers focused on Virus-based gene therapy research (7 papers), Extracellular vesicles in disease (5 papers) and RNA Interference and Gene Delivery (5 papers). Zachary Fitzpatrick collaborates with scholars based in United States, France and United Kingdom. Zachary Fitzpatrick's co-authors include Casey A. Maguire, Xandra O. Breakefield, Bence György, Dakai Mu, Kristina Pagh Friis, Valentina Zappulli, Matheus H. W. Crommentuijn, Sisareuth Tan, Alain Brisson and Federico Mingozzi and has published in prestigious journals such as Nature, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Zachary Fitzpatrick

16 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zachary Fitzpatrick United States 12 884 461 176 132 129 17 1.2k
Dakai Mu United States 9 796 0.9× 260 0.6× 180 1.0× 52 0.4× 87 0.7× 12 1.2k
Frank J. Kaiser Germany 26 1.0k 1.2× 392 0.9× 220 1.3× 82 0.6× 322 2.5× 83 1.9k
Valérie Delague France 28 1.7k 1.9× 647 1.4× 100 0.6× 270 2.0× 344 2.7× 91 2.6k
Shanru Li United States 20 812 0.9× 256 0.6× 156 0.9× 24 0.2× 151 1.2× 26 1.4k
Bradley L. Hodges United States 25 954 1.1× 526 1.1× 33 0.2× 33 0.3× 103 0.8× 30 1.5k
Shin’ichiro Yasunaga Japan 21 741 0.8× 237 0.5× 102 0.6× 162 1.2× 325 2.5× 60 1.7k
Holger Thiele Germany 16 711 0.8× 363 0.8× 51 0.3× 58 0.4× 66 0.5× 51 1.2k
Hiroyoshi Ishizaki Japan 22 982 1.1× 179 0.4× 101 0.6× 79 0.6× 344 2.7× 27 1.7k
Jun Shen United States 20 807 0.9× 307 0.7× 172 1.0× 116 0.9× 71 0.6× 44 1.6k
S Malcolm United Kingdom 31 1.2k 1.3× 1.1k 2.5× 54 0.3× 118 0.9× 247 1.9× 71 2.3k

Countries citing papers authored by Zachary Fitzpatrick

Since Specialization
Citations

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

Fields of papers citing papers by Zachary Fitzpatrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zachary Fitzpatrick. 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 Zachary Fitzpatrick. The network helps show where Zachary Fitzpatrick may publish in the future.

Co-authorship network of co-authors of Zachary Fitzpatrick

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

All Works

17 of 17 papers shown
1.
Fitzpatrick, Zachary, et al.. (2025). CD300f enables microglial damage sensing, efferocytosis, and apoptotic cell metabolization after brain injury. Brain Behavior and Immunity. 130. 106105–106105.
2.
Scott, Kirsten M., Seoyoung Park, Ruwani Wijeyekoon, et al.. (2023). B lymphocyte responses in Parkinson’s disease and their possible significance in disease progression. Brain Communications. 5(2). fcad060–fcad060. 23 indexed citations
3.
Zanluqui, Nágela Ghabdan, Zachary Fitzpatrick, Jared S. Rosenblum, et al.. (2023). Venous plexus-associated lymphoid hubs support meningeal humoral immunity. The Journal of Immunology. 210(Supplement_1). 76.23–76.23. 1 indexed citations
4.
Barros, Rafael Di Marco, Zachary Fitzpatrick, & Menna R. Clatworthy. (2022). The gut–meningeal immune axis: Priming brain defense against the most likely invaders. The Journal of Experimental Medicine. 219(3). 13 indexed citations
5.
Fitzpatrick, Zachary, Gordon L. Frazer, Ashley Ferro, et al.. (2020). Gut-educated IgA plasma cells defend the meningeal venous sinuses. Nature. 587(7834). 472–476. 190 indexed citations
6.
Volak, Adrienn, Stanley G. LeRoy, Jae‐Hyun Park, et al.. (2018). Virus vector-mediated genetic modification of brain tumor stromal cells after intravenous delivery. Journal of Neuro-Oncology. 139(2). 293–305. 23 indexed citations
7.
Fitzpatrick, Zachary, Christian Leborgne, Elena Barbon, et al.. (2018). Influence of Pre-existing Anti-capsid Neutralizing and Binding Antibodies on AAV Vector Transduction. Molecular Therapy — Methods & Clinical Development. 9. 119–129. 136 indexed citations
8.
György, Bence, Cyrille Sage, Artur A. Indzhykulian, et al.. (2017). Rescue of Hearing by Gene Delivery to Inner-Ear Hair Cells Using Exosome-Associated AAV. Molecular Therapy. 25(2). 379–391. 182 indexed citations
9.
Meliani, Amine, Florence Boisgérault, Zachary Fitzpatrick, et al.. (2017). Enhanced liver gene transfer and evasion of preexisting humoral immunity with exosome-enveloped AAV vectors. Blood Advances. 1(23). 2019–2031. 102 indexed citations
10.
Hudry, Eloïse, Sunil Gandhi, Bence György, et al.. (2016). Exosome-associated AAV vector as a robust and convenient neuroscience tool. Gene Therapy. 23(4). 380–392. 118 indexed citations
11.
Choudhury, Sourav, Zachary Fitzpatrick, Stacy A. Maitland, et al.. (2016). In Vivo Selection Yields AAV-B1 Capsid for Central Nervous System and Muscle Gene Therapy. Molecular Therapy. 24(7). 1247–1257. 97 indexed citations
12.
Zappulli, Valentina, Kristina Pagh Friis, Zachary Fitzpatrick, Casey A. Maguire, & Xandra O. Breakefield. (2016). Extracellular vesicles and intercellular communication within the nervous system. Journal of Clinical Investigation. 126(4). 1198–1207. 190 indexed citations
13.
King, Michael, Zachary Fitzpatrick, Mingming Wang, et al.. (2015). Prowashonupana barley dietary fibre reduces body fat and increases insulin sensitivity in Caenorhabditis elegans model. Journal of Functional Foods. 18(A). 564–574. 10 indexed citations
14.
Fitzpatrick, Zachary, Bence György, Dakai Mu, et al.. (2015). 266. G-Force Loading of Virus Vectors into Vesicles for Enhanced Gene Therapy Vehicles. Molecular Therapy. 23. S106–S106. 1 indexed citations
15.
György, Bence, Zachary Fitzpatrick, Matheus H. W. Crommentuijn, Dakai Mu, & Casey A. Maguire. (2014). Naturally enveloped AAV vectors for shielding neutralizing antibodies and robust gene delivery in vivo. Biomaterials. 35(26). 7598–7609. 128 indexed citations
16.
Fitzpatrick, Zachary, Bence György, Johan Skog, & Casey A. Maguire. (2014). Extracellular Vesicles as Enhancers of Virus Vector–Mediated Gene Delivery. Human Gene Therapy. 25(9). 785–786. 14 indexed citations
17.
Zheng, Jolene, Joseph R. Vasselli, Michael King, et al.. (2014). Using Caenorhabditis elegans as a Model for Obesity Pharmacology Development. American Journal of Therapeutics. 23(6). e1363–e1370. 7 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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