Victor Anggono

4.4k total citations · 1 hit paper
57 papers, 3.1k citations indexed

About

Victor Anggono is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Victor Anggono has authored 57 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 28 papers in Cellular and Molecular Neuroscience and 20 papers in Cell Biology. Recurrent topics in Victor Anggono's work include Neuroscience and Neuropharmacology Research (24 papers), Cellular transport and secretion (18 papers) and RNA Research and Splicing (12 papers). Victor Anggono is often cited by papers focused on Neuroscience and Neuropharmacology Research (24 papers), Cellular transport and secretion (18 papers) and RNA Research and Splicing (12 papers). Victor Anggono collaborates with scholars based in Australia, United States and United Kingdom. Victor Anggono's co-authors include Richard L. Huganir, Jocelyn Widagdo, Phillip J. Robinson, Michael A. Cousin, Karen J. Smillie, Roger L. Clem, Xuan Ling Hilary Yong, Justin Wong, Mark E. Graham and Katherine W. Roche and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Victor Anggono

57 papers receiving 3.1k citations

Hit Papers

Regulation of AMPA receptor trafficking and synaptic plas... 2012 2026 2016 2021 2012 100 200 300 400

Peers

Victor Anggono
Gareth M. Thomas United States
Richard C. Johnson United States
Gentry N. Patrick United States
Khanhky Phamluong United States
Toshifumi Tomoda United States
John Marshall United States
Ji Won Um South Korea
Anton Maximov United States
Gareth M. Thomas United States
Victor Anggono
Citations per year, relative to Victor Anggono Victor Anggono (= 1×) peers Gareth M. Thomas

Countries citing papers authored by Victor Anggono

Since Specialization
Citations

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

Fields of papers citing papers by Victor Anggono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Anggono

This figure shows the co-authorship network connecting the top 25 collaborators of Victor Anggono. A scholar is included among the top collaborators of Victor Anggono 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 Victor Anggono. Victor Anggono 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.
Hines, Adam, et al.. (2024). Synapse-Specific Trapping of SNARE Machinery Proteins in the AnesthetizedDrosophilaBrain. Journal of Neuroscience. 44(24). e0588232024–e0588232024. 1 indexed citations
2.
Leiter, Odette, David Brici, Stephen J. Fletcher, et al.. (2023). Platelet-derived exerkine CXCL4/platelet factor 4 rejuvenates hippocampal neurogenesis and restores cognitive function in aged mice. Nature Communications. 14(1). 4375–4375. 63 indexed citations
3.
Ragnarsson, Lotten, Zihan Zhang, Åsa Andersson, et al.. (2023). GRIN1 variants associated with neurodevelopmental disorders reveal channel gating pathomechanisms. Epilepsia. 64(12). 3377–3388. 5 indexed citations
4.
Marshall, A.C., Simon Kobelke, Tianyi Zhu, et al.. (2023). Different Low-complexity Regions of SFPQ Play Distinct Roles in the Formation of Biomolecular Condensates. Journal of Molecular Biology. 435(24). 168364–168364. 13 indexed citations
5.
Park, Pojeong, Dae Hee Han, Lingrui Zhang, et al.. (2023). Ubiquitination of the GluA1 Subunit of AMPA Receptors Is Required for Synaptic Plasticity, Memory, and Cognitive Flexibility. Journal of Neuroscience. 43(30). 5448–5457. 7 indexed citations
6.
Tan, Jing Zhi Anson, Mintu Chandra, Lingrui Zhang, et al.. (2023). Copine-6 is a Ca2+ sensor for activity-induced AMPA receptor exocytosis. Cell Reports. 42(12). 113460–113460. 2 indexed citations
7.
Coakley, Sean, et al.. (2022). The metalloprotease ADM-4/ADAM17 promotes axonal repair. Science Advances. 8(11). 6 indexed citations
8.
Widagdo, Jocelyn, et al.. (2022). Familial ALS-associated SFPQ variants promote the formation of SFPQ cytoplasmic aggregates in primary neurons. Open Biology. 12(9). 220187–220187. 11 indexed citations
9.
Huang, He, Renhua Song, Justin Wong, Victor Anggono, & Jocelyn Widagdo. (2022). The N6‐methyladenosine RNA landscape in the aged mouse hippocampus. Aging Cell. 22(1). e13755–e13755. 11 indexed citations
10.
Widagdo, Jocelyn, Victor Anggono, & Justin Wong. (2021). The multifaceted effects of YTHDC1-mediated nuclear m6A recognition. Trends in Genetics. 38(4). 325–332. 76 indexed citations
11.
Widagdo, Jocelyn, et al.. (2020). Subunit-Specific Augmentation of AMPA Receptor Ubiquitination by Phorbol Ester. Cellular and Molecular Neurobiology. 40(7). 1213–1222. 6 indexed citations
12.
Vieira, Marta, Thien Nguyen, Kunwei Wu, et al.. (2020). An Epilepsy-Associated GRIN2A Rare Variant Disrupts CaMKIIα Phosphorylation of GluN2A and NMDA Receptor Trafficking. Cell Reports. 32(9). 108104–108104. 44 indexed citations
13.
Troup, Michael, Oressia Zalucki, Benjamin Kottler, et al.. (2019). Syntaxin1A Neomorphic Mutations Promote Rapid Recovery from Isoflurane Anesthesia in Drosophila melanogaster. Anesthesiology. 131(3). 555–568. 12 indexed citations
14.
Bademosi, Adekunle T., Shanker Karunanithi, Oressia Zalucki, et al.. (2018). Trapping of Syntaxin1a in Presynaptic Nanoclusters by a Clinically Relevant General Anesthetic. Cell Reports. 22(2). 427–440. 45 indexed citations
15.
Mahadevan, Vivek, Zahra Dargaei, Pavel Uvarov, et al.. (2017). Native KCC2 interactome reveals PACSIN1 as a critical regulator of synaptic inhibition. eLife. 6. 37 indexed citations
16.
Widagdo, Jocelyn, Qiongyi Zhao, Men Chee Tan, et al.. (2016). Experience-Dependent Accumulation of N 6 -Methyladenosine in the Prefrontal Cortex Is Associated with Memory Processes in Mice. Journal of Neuroscience. 36(25). 6771–6777. 179 indexed citations
17.
Anggono, Victor, Roger L. Clem, & Richard L. Huganir. (2011). PICK1 Loss of Function Occludes Homeostatic Synaptic Scaling. Journal of Neuroscience. 31(6). 2188–2196. 91 indexed citations
18.
Chircop, Megan, Boris Šarčević, Martin R. Larsen, et al.. (2010). Phosphorylation of dynamin II at serine-764 is associated with cytokinesis. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1813(10). 1689–1699. 32 indexed citations
19.
Thorsen, Thor S., Kenneth L. Madsen, Nelson Rebola, et al.. (2009). Identification of a small-molecule inhibitor of the PICK1 PDZ domain that inhibits hippocampal LTP and LTD. Proceedings of the National Academy of Sciences. 107(1). 413–418. 89 indexed citations
20.
Anggono, Victor & Phillip J. Robinson. (2007). Syndapin I and endophilin I bind overlapping proline‐rich regions of dynamin I: role in synaptic vesicle endocytosis. Journal of Neurochemistry. 102(3). 931–943. 49 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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