ChiHye Chung

2.9k total citations
58 papers, 2.2k citations indexed

About

ChiHye Chung is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, ChiHye Chung has authored 58 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cellular and Molecular Neuroscience, 21 papers in Molecular Biology and 16 papers in Cognitive Neuroscience. Recurrent topics in ChiHye Chung's work include Neuroscience and Neuropharmacology Research (26 papers), Stress Responses and Cortisol (10 papers) and Memory and Neural Mechanisms (7 papers). ChiHye Chung is often cited by papers focused on Neuroscience and Neuropharmacology Research (26 papers), Stress Responses and Cortisol (10 papers) and Memory and Neural Mechanisms (7 papers). ChiHye Chung collaborates with scholars based in South Korea, United States and Argentina. ChiHye Chung's co-authors include Ege T. Kavalali, Roberto Malinow, Jung‐Soo Han, Joaquín Piriz, Fritz A. Henn, Martine M. Mirrione, Christophe D. Proulx, Bo Li, Daniela Schulz and Ho-Yong Park and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

ChiHye Chung

56 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
ChiHye Chung South Korea 23 1.0k 774 454 260 255 58 2.2k
Magda Giòrdano Mexico 26 1.3k 1.2× 706 0.9× 358 0.8× 229 0.9× 95 0.4× 77 2.6k
Analı́a Bortolozzi Spain 31 1.7k 1.6× 1.2k 1.6× 353 0.8× 465 1.8× 251 1.0× 84 3.4k
Matthew R. Holahan Canada 27 1.3k 1.3× 691 0.9× 822 1.8× 261 1.0× 57 0.2× 81 2.4k
Dai Mitsushima Japan 28 924 0.9× 525 0.7× 565 1.2× 252 1.0× 85 0.3× 99 2.5k
Habibeh Khoshbouei United States 36 2.1k 2.0× 1.5k 1.9× 367 0.8× 464 1.8× 164 0.6× 95 3.9k
Jihoon Jo South Korea 20 1.1k 1.1× 922 1.2× 276 0.6× 531 2.0× 169 0.7× 34 2.3k
Linda I. Perrotti United States 26 1.8k 1.8× 1.2k 1.6× 631 1.4× 398 1.5× 73 0.3× 46 3.3k
Jun Nagai Japan 25 1.0k 1.0× 1.0k 1.4× 279 0.6× 201 0.8× 203 0.8× 56 2.5k
Amal Chandra Mondal India 33 616 0.6× 679 0.9× 146 0.3× 391 1.5× 145 0.6× 75 2.4k
Maija L. Castrén Finland 26 640 0.6× 812 1.0× 598 1.3× 95 0.4× 62 0.2× 52 2.4k

Countries citing papers authored by ChiHye Chung

Since Specialization
Citations

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

Fields of papers citing papers by ChiHye Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of ChiHye Chung

This figure shows the co-authorship network connecting the top 25 collaborators of ChiHye Chung. A scholar is included among the top collaborators of ChiHye Chung 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 ChiHye Chung. ChiHye Chung 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.
Chung, ChiHye, et al.. (2024). Effect of dynamic interaction of estrous cycle and stress on synaptic transmission and neuronal excitability in the lateral habenula. The FASEB Journal. 38(24). e70275–e70275. 3 indexed citations
2.
Kim, Seul Ki, Cherl NamKoong, Hyung Jin Choi, et al.. (2023). Mitochondria-derived peptide SHLP2 regulates energy homeostasis through the activation of hypothalamic neurons. Nature Communications. 14(1). 4321–4321. 16 indexed citations
3.
Kim, Min‐Seok, et al.. (2023). Stress-induced translation of KCNB1 contributes to the enhanced synaptic transmission of the lateral habenula. Frontiers in Cellular Neuroscience. 17. 1278847–1278847. 1 indexed citations
4.
Kim, Hyun-Kyung, et al.. (2022). Lateral Septum Somatostatin Neurons are Activated by Diverse Stressors. Experimental Neurobiology. 31(6). 376–389. 9 indexed citations
5.
Zhang, Seungjae, et al.. (2021). Interaction Between Glucocorticoid Receptors and FKBP5 in Regulating Neurotransmission of the Hippocampus. Neuroscience. 483. 95–103. 6 indexed citations
6.
Zhang, Seungjae, et al.. (2021). REM Sleep Deprivation Impairs Learning and Memory by Decreasing Brain O-GlcNAc Cycling in Mouse. Neurotherapeutics. 18(4). 2504–2517. 40 indexed citations
7.
Zhang, Seungjae, et al.. (2021). Correction to: REM Sleep Deprivation Impairs Learning and Memory by Decreasing Brain O-GlcNAc Cycling in Mouse. Neurotherapeutics. 18(4). 2754–2754. 2 indexed citations
8.
Park, Ho-Yong, et al.. (2020). Inositol Pyrophosphate Metabolism Regulates Presynaptic Vesicle Cycling at Central Synapses. iScience. 23(4). 101000–101000. 16 indexed citations
9.
Park, Ho-Yong, et al.. (2019). Actions of Neuropeptide Y on Synaptic Transmission in the Lateral Habenula. Neuroscience. 410. 183–190. 9 indexed citations
10.
Velychko, Sergiy, Sung Min Kim, Tae Hwan Kwak, et al.. (2019). Fusion of Reprogramming Factors Alters the Trajectory of Somatic Lineage Conversion. Cell Reports. 27(1). 30–39.e4. 25 indexed citations
11.
Sung, Kijung, Luiz F. Ferrari, Wanlin Yang, et al.. (2018). Swedish Nerve Growth Factor Mutation (NGF R100W ) Defines a Role for TrkA and p75 NTR in Nociception. Journal of Neuroscience. 38(14). 3394–3413. 30 indexed citations
12.
Park, Ho-Yong, et al.. (2017). Temporal variations in presynaptic release probability in the lateral habenula. Scientific Reports. 7(1). 40866–40866. 9 indexed citations
13.
Bae, Hyeonhu, Minwoo Park, Jinwoo Park, et al.. (2016). High-throughput screening of metal-porphyrin-like graphenes for selective capture of carbon dioxide. Scientific Reports. 6(1). 21788–21788. 45 indexed citations
14.
Lee, Sun‐Young, et al.. (2015). Oxytocin Protects Hippocampal Memory and Plasticity from Uncontrollable Stress. Scientific Reports. 5(1). 18540–18540. 93 indexed citations
15.
Lee, Jun‐Ho, Sun-Hye Choi, Byunghwan Lee, et al.. (2013). Activation of lysophosphatidic acid receptor by gintonin inhibits Kv1.2 channel activity: Involvement of tyrosine kinase and receptor protein tyrosine phosphatase α. Neuroscience Letters. 548. 143–148. 18 indexed citations
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18.
Li, Bo, Joaquín Piriz, Martine M. Mirrione, et al.. (2011). Synaptic potentiation onto habenula neurons in the learned helplessness model of depression. Nature. 470(7335). 535–539. 495 indexed citations
19.
Chung, ChiHye, Barbara Baryłko, Jeremy Leitz, Xinran Liu, & Ege T. Kavalali. (2010). Acute Dynamin Inhibition Dissects Synaptic Vesicle Recycling Pathways That Drive Spontaneous and Evoked Neurotransmission. Journal of Neuroscience. 30(4). 1363–1376. 115 indexed citations
20.
Ertunç, Mert, Yıldırım Sara, ChiHye Chung, et al.. (2007). Fast Synaptic Vesicle Reuse Slows the Rate of Synaptic Depression in the CA1 Region of Hippocampus. Journal of Neuroscience. 27(2). 341–354. 46 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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