Jonathan G. Hanley

2.4k total citations
45 papers, 1.9k citations indexed

About

Jonathan G. Hanley is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Jonathan G. Hanley has authored 45 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 32 papers in Cellular and Molecular Neuroscience and 15 papers in Cell Biology. Recurrent topics in Jonathan G. Hanley's work include Neuroscience and Neuropharmacology Research (30 papers), Cellular transport and secretion (13 papers) and Ion channel regulation and function (10 papers). Jonathan G. Hanley is often cited by papers focused on Neuroscience and Neuropharmacology Research (30 papers), Cellular transport and secretion (13 papers) and Ion channel regulation and function (10 papers). Jonathan G. Hanley collaborates with scholars based in United Kingdom, United States and Japan. Jonathan G. Hanley's co-authors include Jeremy M. Henley, Daniel L. Rocca, Stephen J. Moss, Jack R. Mellor, Nadia Jaafari, Stéphane Martin, Emma Jenkins, Latika Khatri, Phyllis I. Hanson and Edward B. Ziff and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Neuron.

In The Last Decade

Jonathan G. Hanley

44 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan G. Hanley United Kingdom 26 1.2k 1.1k 509 202 170 45 1.9k
Olav Olsen United States 22 686 0.6× 1.2k 1.1× 489 1.0× 313 1.5× 162 1.0× 32 2.1k
Elizabeth Finch United States 16 1.3k 1.1× 2.3k 2.0× 350 0.7× 206 1.0× 189 1.1× 26 3.2k
Ana María López‐Colomé Mexico 26 1.0k 0.9× 1.1k 0.9× 344 0.7× 244 1.2× 177 1.0× 90 2.1k
Zachary P. Wills United States 18 838 0.7× 1.3k 1.2× 502 1.0× 193 1.0× 106 0.6× 28 2.1k
Clarissa L. Waites United States 26 1.3k 1.1× 1.3k 1.2× 1.0k 2.1× 267 1.3× 135 0.8× 40 2.4k
Sayaka Takemoto‐Kimura Japan 21 1.2k 1.0× 1.3k 1.1× 262 0.5× 160 0.8× 157 0.9× 33 2.3k
Silvia Coco Italy 27 1.3k 1.1× 1.3k 1.2× 729 1.4× 339 1.7× 344 2.0× 41 2.6k
J. Hartmann Germany 22 1.1k 0.9× 1.1k 1.0× 277 0.5× 253 1.3× 276 1.6× 47 2.0k
Seok‐Kyu Kwon South Korea 20 963 0.8× 1.6k 1.4× 485 1.0× 308 1.5× 188 1.1× 33 2.6k
Nicolas Heck France 23 881 0.7× 818 0.7× 342 0.7× 95 0.5× 162 1.0× 38 1.7k

Countries citing papers authored by Jonathan G. Hanley

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan G. Hanley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan G. Hanley. 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 Jonathan G. Hanley. The network helps show where Jonathan G. Hanley may publish in the future.

Co-authorship network of co-authors of Jonathan G. Hanley

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan G. Hanley. A scholar is included among the top collaborators of Jonathan G. Hanley 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 Jonathan G. Hanley. Jonathan G. Hanley 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.
Hanley, Jonathan G., et al.. (2025). Competition effects regulating the composition of the microRNA pool. Journal of The Royal Society Interface. 22(223). 20240870–20240870.
2.
Wilkinson, Kevin A., et al.. (2024). An essential role for the RNA helicase DDX6 in NMDA receptor-dependent gene silencing and dendritic spine shrinkage. Scientific Reports. 14(1). 3066–3066. 2 indexed citations
3.
Brown, Jon T., et al.. (2022). Tau isoform-specific enhancement of L-type calcium current and augmentation of afterhyperpolarization in rat hippocampal neurons. Scientific Reports. 12(1). 15231–15231. 7 indexed citations
4.
Hanley, Jonathan G.. (2021). Regulation of AMPAR expression by microRNAs. Neuropharmacology. 197. 108723–108723. 9 indexed citations
5.
Chamberlain, Sophie E.L., et al.. (2018). Cortactin regulates endo-lysosomal sorting of AMPARs via direct interaction with GluA2 subunit. Scientific Reports. 8(1). 4155–4155. 12 indexed citations
6.
Smith, Katharine R., Dipen Rajgor, & Jonathan G. Hanley. (2017). Differential regulation of the Rac1 GTPase–activating protein (GAP) BCR during oxygen/glucose deprivation in hippocampal and cortical neurons. Journal of Biological Chemistry. 292(49). 20173–20183. 14 indexed citations
7.
Rajgor, Dipen, et al.. (2017). The PICK1 Ca2+ sensor modulates N-methyl-d-aspartate (NMDA) receptor-dependent microRNA-mediated translational repression in neurons. Journal of Biological Chemistry. 292(23). 9774–9786. 11 indexed citations
8.
Kőszegi, Zsombor, María Fiuza, & Jonathan G. Hanley. (2017). Endocytosis and lysosomal degradation of GluA2/3 AMPARs in response to oxygen/glucose deprivation in hippocampal but not cortical neurons. Scientific Reports. 7(1). 12318–12318. 25 indexed citations
9.
Smith, Katharine R., Kelly A. Jones, Katherine J. Kopeikina, et al.. (2017). Cadherin-10 Maintains Excitatory/Inhibitory Ratio through Interactions with Synaptic Proteins. Journal of Neuroscience. 37(46). 11127–11139. 18 indexed citations
10.
Rajgor, Dipen, Jonathan G. Hanley, & Catherine M. Shanahan. (2016). Identification of novel nesprin-1 binding partners and cytoplasmic matrin-3 in processing bodies. Molecular Biology of the Cell. 27(24). 3894–3902. 12 indexed citations
11.
Murk, Kai, et al.. (2015). Protein interacting with C kinase 1 suppresses invasion and anchorage-independent growth of astrocytic tumor cells. Molecular Biology of the Cell. 26(25). 4552–4561. 12 indexed citations
12.
13.
Hanley, Jonathan G.. (2014). Actin-dependent mechanisms in AMPA receptor trafficking. Frontiers in Cellular Neuroscience. 8. 381–381. 64 indexed citations
14.
Antoniou, Anna, et al.. (2014). PICK 1 links Argonaute 2 to endosomes in neuronal dendrites and regulates mi RNA activity. EMBO Reports. 15(5). 548–556. 32 indexed citations
15.
Rocca, Daniel L. & Jonathan G. Hanley. (2014). PICK1 links AMPA receptor stimulation to Cdc42. Neuroscience Letters. 585. 155–159. 11 indexed citations
16.
Rocca, Daniel L., Mascia Amici, Anna Antoniou, et al.. (2013). The Small GTPase Arf1 Modulates Arp2/3-Mediated Actin Polymerization via PICK1 to Regulate Synaptic Plasticity. Neuron. 79(2). 293–307. 73 indexed citations
17.
Murk, Kai, et al.. (2013). The antagonistic modulation of Arp2/3 activity by N-WASP/WAVE2 and PICK1 defines dynamic changes in astrocyte morphology. Journal of Cell Science. 126(Pt 17). 3873–83. 47 indexed citations
18.
Rocca, Daniel L., Stéphane Martin, Emma Jenkins, & Jonathan G. Hanley. (2008). Inhibition of Arp2/3-mediated actin polymerization by PICK1 regulates neuronal morphology and AMPA receptor endocytosis. Nature Cell Biology. 10(3). 259–271. 178 indexed citations
19.
Hanley, Jonathan G.. (2008). AMPA receptor trafficking pathways and links to dendritic spine morphogenesis. Cell Adhesion & Migration. 2(4). 276–282. 37 indexed citations
20.
Hanley, Jonathan G. & Jeremy M. Henley. (2005). PICK1 is a calcium‐sensor for NMDA‐induced AMPA receptor trafficking. The EMBO Journal. 24(18). 3266–3278. 131 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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