Won Chan Oh

2.6k total citations
25 papers, 1.4k citations indexed

About

Won Chan Oh is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Won Chan Oh has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 9 papers in Cognitive Neuroscience. Recurrent topics in Won Chan Oh's work include Neuroscience and Neuropharmacology Research (16 papers), Photoreceptor and optogenetics research (8 papers) and Neural dynamics and brain function (7 papers). Won Chan Oh is often cited by papers focused on Neuroscience and Neuropharmacology Research (16 papers), Photoreceptor and optogenetics research (8 papers) and Neural dynamics and brain function (7 papers). Won Chan Oh collaborates with scholars based in United States, Germany and South Korea. Won Chan Oh's co-authors include Karen Zito, Hyung-Bae Kwon, Laxmi Kumar Parajuli, Travis C. Hill, Stefano Lutzu, Pablo E. Castillo, In-Wook Hwang, Kanghoon Jung, Johannes Hell and Ivar S. Stein and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Won Chan Oh

25 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Won Chan Oh United States 17 925 566 357 152 112 25 1.4k
Raffaella Tonini Italy 26 966 1.0× 1.1k 1.9× 572 1.6× 108 0.7× 48 0.4× 48 2.5k
Philippe Fossier France 20 884 1.0× 1.0k 1.8× 191 0.5× 221 1.5× 52 0.5× 34 1.7k
Jean-Claude Béïque United States 9 826 0.9× 513 0.9× 274 0.8× 119 0.8× 80 0.7× 10 1.1k
Mitchell H. Murdock United States 12 466 0.5× 411 0.7× 206 0.6× 34 0.2× 67 0.6× 15 1.3k
Imane Moutkine France 17 703 0.8× 537 0.9× 160 0.4× 91 0.6× 162 1.4× 26 1.2k
Thomas J. Younts United States 12 851 0.9× 355 0.6× 400 1.1× 84 0.6× 43 0.4× 13 1.4k
Michael R. Tadross United States 14 695 0.8× 876 1.5× 215 0.6× 94 0.6× 52 0.5× 22 1.4k
Monika Bijata Poland 14 397 0.4× 551 1.0× 97 0.3× 91 0.6× 82 0.7× 24 1.3k
Changliang Liu China 22 761 0.8× 907 1.6× 271 0.8× 260 1.7× 71 0.6× 44 1.7k

Countries citing papers authored by Won Chan Oh

Since Specialization
Citations

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

Fields of papers citing papers by Won Chan Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Chan Oh. 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 Won Chan Oh. The network helps show where Won Chan Oh may publish in the future.

Co-authorship network of co-authors of Won Chan Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Won Chan Oh. A scholar is included among the top collaborators of Won Chan Oh 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 Won Chan Oh. Won Chan Oh 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.
Hwang, In-Wook, et al.. (2024). Serotonin modulates excitatory synapse maturation in the developing prefrontal cortex. Nature Communications. 15(1). 1368–1368. 18 indexed citations
2.
Oh, Won Chan, et al.. (2023). Fetal cannabidiol (CBD) exposure alters thermal pain sensitivity, problem-solving, and prefrontal cortex excitability. Molecular Psychiatry. 28(8). 3397–3413. 14 indexed citations
3.
Kim, Seungjoon, Hyeonho Kim, In-Wook Hwang, et al.. (2022). MDGA1 negatively regulates amyloid precursor protein–mediated synapse inhibition in the hippocampus. Proceedings of the National Academy of Sciences. 119(4). 19 indexed citations
4.
Buchta, William C., In-Wook Hwang, Masaaki Kuwajima, et al.. (2022). Dually innervated dendritic spines develop in the absence of excitatory activity and resist plasticity through tonic inhibitory crosstalk. Neuron. 111(3). 362–371.e6. 15 indexed citations
5.
Oh, Won Chan, et al.. (2021). Dysregulation of the mesoprefrontal dopamine circuit mediates an early-life stress-induced synaptic imbalance in the prefrontal cortex. Cell Reports. 35(5). 109074–109074. 19 indexed citations
6.
Jang, Jin‐Young, et al.. (2021). Induction of input-specific spine shrinkage on dendrites of rodent hippocampal CA1 neurons using two-photon glutamate uncaging. STAR Protocols. 2(4). 100996–100996. 4 indexed citations
7.
Dong, Chunyang, Calvin Ly, Lee E. Dunlap, et al.. (2021). Psychedelic-inspired drug discovery using an engineered biosensor. Cell. 184(10). 2779–2792.e18. 136 indexed citations
8.
Parajuli, Laxmi Kumar, Hidetoshi Urakubo, Hirohide Iwasaki, et al.. (2020). Geometry and the Organizational Principle of Spine Synapses along a Dendrite. eNeuro. 7(6). ENEURO.0248–20.2020. 18 indexed citations
9.
Kim, Ji-Hoon, Sangkyu Lee, Kanghoon Jung, et al.. (2019). Intensiometric biosensors visualize the activity of multiple small GTPases in vivo. Nature Communications. 10(1). 211–211. 36 indexed citations
10.
Sutton, Laurie P., Cesare Orlandi, Chenghui Song, et al.. (2018). Orphan receptor GPR158 controls stress-induced depression. eLife. 7. 63 indexed citations
11.
Oh, Won Chan & Katharine R. Smith. (2018). Activity-dependent development of GABAergic synapses. Brain Research. 1707. 18–26. 16 indexed citations
12.
Sigler, Albrecht, Won Chan Oh, Cordelia Imig, et al.. (2017). Formation and Maintenance of Functional Spines in the Absence of Presynaptic Glutamate Release. Neuron. 94(2). 304–311.e4. 83 indexed citations
13.
Lee, Dongmin, Meaghan C. Creed, Kanghoon Jung, et al.. (2017). Temporally precise labeling and control of neuromodulatory circuits in the mammalian brain. Nature Methods. 14(5). 495–503. 114 indexed citations
14.
Berry, Kalen, Jaichandar Subramanian, Won Chan Oh, et al.. (2016). Inhibitory Synapses Are Repeatedly Assembled and Removed at Persistent Sites In Vivo. Neuron. 89(4). 756–769. 147 indexed citations
15.
Lee, Ho‐Jin, Won Chan Oh, Jihye Seong, & Jinhyun Kim. (2016). Advanced Fluorescence Protein-Based Synapse-Detectors. Frontiers in Synaptic Neuroscience. 8. 16–16. 11 indexed citations
16.
Oh, Won Chan, Laxmi Kumar Parajuli, & Karen Zito. (2014). Heterosynaptic Structural Plasticity on Local Dendritic Segments of Hippocampal CA1 Neurons. Cell Reports. 10(2). 162–169. 111 indexed citations
17.
Hamilton, Andrew M., Won Chan Oh, Ivar S. Stein, et al.. (2012). Activity-Dependent Growth of New Dendritic Spines Is Regulated by the Proteasome. Neuron. 74(6). 1023–1030. 129 indexed citations
18.
Oh, Won Chan, Travis C. Hill, & Karen Zito. (2012). Synapse-specific and size-dependent mechanisms of spine structural plasticity accompanying synaptic weakening. Proceedings of the National Academy of Sciences. 110(4). E305–12. 118 indexed citations
19.
Woods, Georgia, et al.. (2011). Loss of PSD-95 Enrichment Is Not a Prerequisite for Spine Retraction. Journal of Neuroscience. 31(34). 12129–12138. 67 indexed citations
20.
Oh, Won Chan, Hyun‐Ok Song, Jeong Hoon Cho, & Byung-Jae Park. (2010). ANK Repeat-Domain of SHN-1 Is Indispensable for In Vivo SHN-1 Function in C. elegans. Molecules and Cells. 31(1). 79–84. 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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