Jung Hoon Jung

1.0k total citations
24 papers, 747 citations indexed

About

Jung Hoon Jung is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Jung Hoon Jung has authored 24 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 8 papers in Cognitive Neuroscience. Recurrent topics in Jung Hoon Jung's work include Neuroscience and Neuropharmacology Research (10 papers), Memory and Neural Mechanisms (8 papers) and Image and Signal Denoising Methods (4 papers). Jung Hoon Jung is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Memory and Neural Mechanisms (8 papers) and Image and Signal Denoising Methods (4 papers). Jung Hoon Jung collaborates with scholars based in South Korea, Canada and United States. Jung Hoon Jung's co-authors include Joung‐Hun Kim, Jae Wook Jeon, Kyongman An, Joon Won Park, Hye-Sun Kim, Youngkyu Kim, Elaine C. Budreck, Ryuichi Shigemoto, Joonki Paik and Peter Scheiffele and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Neuron.

In The Last Decade

Jung Hoon Jung

21 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jung Hoon Jung South Korea 13 373 251 123 111 103 24 747
Marcelo Cicconet United States 13 759 2.0× 244 1.0× 130 1.1× 119 1.1× 112 1.1× 29 1.3k
D. L. Price United States 20 422 1.1× 611 2.4× 92 0.7× 427 3.8× 268 2.6× 44 1.6k
Vladislav M. Sandler United States 12 740 2.0× 619 2.5× 257 2.1× 131 1.2× 103 1.0× 18 1.4k
An Vo United States 19 159 0.4× 206 0.8× 217 1.8× 87 0.8× 60 0.6× 60 1.0k
Linqing Feng China 13 204 0.5× 283 1.1× 196 1.6× 36 0.3× 23 0.2× 39 670
David A. Hinkle United States 16 285 0.8× 266 1.1× 206 1.7× 179 1.6× 144 1.4× 21 981
Chinh Dang United States 7 622 1.7× 340 1.4× 355 2.9× 98 0.9× 85 0.8× 10 1.3k
Daniel Fürth Sweden 9 635 1.7× 382 1.5× 353 2.9× 68 0.6× 47 0.5× 12 1.2k
Fernando Brücher United States 11 233 0.6× 630 2.5× 450 3.7× 49 0.4× 89 0.9× 12 1.2k
Katherine S. Matho United States 11 416 1.1× 255 1.0× 101 0.8× 104 0.9× 30 0.3× 12 901

Countries citing papers authored by Jung Hoon Jung

Since Specialization
Citations

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

Fields of papers citing papers by Jung Hoon Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jung Hoon Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Jung Hoon Jung. A scholar is included among the top collaborators of Jung Hoon Jung 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 Jung Hoon Jung. Jung Hoon Jung 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.
Kim, Hyun Jin, Sangjun Lee, Gyu Hyun Kim, et al.. (2025). GluN2B-mediated regulation of silent synapses for receptor specification and addiction memory. Experimental & Molecular Medicine. 57(2). 436–449.
3.
Yoo, Taesik, Jung Hoon Jung, Hyun Jin Kim, et al.. (2024). ErbB4 precludes the occurrence of PTSD-like fear responses by supporting the bimodal activity of the central amygdala. Experimental & Molecular Medicine. 56(12). 2703–2713. 1 indexed citations
4.
Jung, Jung Hoon, Ying Wang, Andrew J. Mocle, et al.. (2023). EXAMINING THE ENGRAM ENCODING SPECIFICITY HYPOTHESIS IN MICE. IBRO Neuroscience Reports. 15. S854–S854. 1 indexed citations
5.
Jung, Jung Hoon, Ying Wang, Asim J. Rashid, et al.. (2023). Examining memory linking and generalization using scFLARE2, a temporally precise neuronal activity tagging system. Cell Reports. 42(12). 113592–113592. 10 indexed citations
6.
Jung, Jung Hoon, Ying Wang, Andrew J. Mocle, et al.. (2023). Examining the engram encoding specificity hypothesis in mice. Neuron. 111(11). 1830–1845.e5. 22 indexed citations
7.
Park, Sungmo, et al.. (2022). Opto-extinction of a threat memory in mice. Brain Research Bulletin. 191. 61–68. 7 indexed citations
8.
Lee, Kihwan, et al.. (2021). Functional Importance of Transient Receptor Potential (TRP) Channels in Neurological Disorders. Frontiers in Cell and Developmental Biology. 9. 611773–611773. 29 indexed citations
9.
Jung, Jung Hoon, et al.. (2020). Fear response-based prediction for stress susceptibility to PTSD-like phenotypes. Molecular Brain. 13(1). 134–134. 11 indexed citations
10.
Park, Albert, Brandon J. Walters, Sungmo Park, et al.. (2019). A time-dependent role for the transcription factor CREB in neuronal allocation to an engram underlying a fear memory revealed using a novel in vivo optogenetic tool to modulate CREB function. Neuropsychopharmacology. 45(6). 916–924. 31 indexed citations
11.
12.
An, Kyungwon, Jung Hoon Jung, Angela Jeong, et al.. (2014). Neuritin can normalize neural deficits of Alzheimer’s disease. Cell Death and Disease. 5(11). e1523–e1523. 26 indexed citations
13.
An, Kyongman, Igor Klyubin, Youngkyu Kim, et al.. (2013). Exosomes neutralize synaptic-plasticity-disrupting activity of Aβ assemblies in vivo. Molecular Brain. 6(1). 47–47. 164 indexed citations
14.
Budreck, Elaine C., Jung Hoon Jung, Stéphane J. Baudouin, et al.. (2012). Neuroligin-1 controls synaptic abundance of NMDA-type glutamate receptors through extracellular coupling. Proceedings of the National Academy of Sciences. 110(2). 725–730. 144 indexed citations
15.
Jung, Jung Hoon, et al.. (2011). Pathway-Specific Alteration of Synaptic Plasticity in Tg2576 Mice. Molecules and Cells. 32(2). 197–202. 22 indexed citations
16.
Jung, Sangyong, Juhyun Kim, Jung Hoon Jung, et al.. (2010). Input-specific synaptic plasticity in the amygdala is regulated by neuroligin-1 via postsynaptic NMDA receptors. Proceedings of the National Academy of Sciences. 107(10). 4710–4715. 75 indexed citations
17.
Jung, Jung Hoon, Seok Won Lee, & Jae Ryoun Youn. (1999). Characterization of deformation in injection molded parts after packing and cooling. Macromolecular Symposia. 148(1). 263–283. 14 indexed citations
18.
Jung, Jung Hoon, et al.. (1998). Spatial Interpolation of Image Sequences Using Truncated Projections onto Convex Sets. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 82(6). 39–42. 1 indexed citations
19.
Jung, Jung Hoon, et al.. (1998). Spatio-Temporally Adaptive Image Sequence Interpolation. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 43–46. 1 indexed citations
20.
Jung, Jung Hoon, et al.. (1998). Regularized iterative image interpolation and its application to spatially scalable coding. IEEE Transactions on Consumer Electronics. 44(3). 1042–1047. 35 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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