Jae‐Hyun Kim

723 total citations
25 papers, 348 citations indexed

About

Jae‐Hyun Kim is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Plant Science. According to data from OpenAlex, Jae‐Hyun Kim has authored 25 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 10 papers in Cognitive Neuroscience and 4 papers in Plant Science. Recurrent topics in Jae‐Hyun Kim's work include Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (5 papers) and Photoreceptor and optogenetics research (4 papers). Jae‐Hyun Kim is often cited by papers focused on Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (5 papers) and Photoreceptor and optogenetics research (4 papers). Jae‐Hyun Kim collaborates with scholars based in South Korea, United States and Switzerland. Jae‐Hyun Kim's co-authors include Seung‐Hee Lee, Ilsong Choi, Kwansoo Kim, Daun Jeong, Sung June Kim, A-Hyun Jung, Heon‐Sang Jeong, Eunji Jung, Dong‐Sik Park and Se‐Bum Paik and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Jae‐Hyun Kim

23 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae‐Hyun Kim South Korea 10 187 161 78 38 33 25 348
Hui Kuang China 16 215 1.1× 185 1.1× 122 1.6× 52 1.4× 37 1.1× 35 549
Julie R. Dumont Canada 16 327 1.7× 226 1.4× 36 0.5× 20 0.5× 57 1.7× 29 626
Yiling Hu China 6 102 0.5× 201 1.2× 95 1.2× 48 1.3× 39 1.2× 11 311
Miriam Elizabeth Mendes Angelucci Brazil 5 63 0.3× 163 1.0× 73 0.9× 35 0.9× 32 1.0× 6 402
Hyo-Young Jeong South Korea 10 242 1.3× 341 2.1× 180 2.3× 70 1.8× 30 0.9× 15 563
Satoshi Manita Japan 12 301 1.6× 344 2.1× 181 2.3× 14 0.4× 42 1.3× 18 597
Fernando Calahorro United Kingdom 12 43 0.2× 81 0.5× 146 1.9× 39 1.0× 17 0.5× 25 459
Marcelo Machado Ferro Brazil 13 123 0.7× 349 2.2× 85 1.1× 30 0.8× 78 2.4× 22 688
Liang She China 12 255 1.4× 173 1.1× 145 1.9× 29 0.8× 34 1.0× 21 663
Zhiyong Xie China 11 144 0.8× 139 0.9× 113 1.4× 15 0.4× 34 1.0× 16 453

Countries citing papers authored by Jae‐Hyun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Hyun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Hyun Kim. 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 Jae‐Hyun Kim. The network helps show where Jae‐Hyun Kim may publish in the future.

Co-authorship network of co-authors of Jae‐Hyun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Hyun Kim. A scholar is included among the top collaborators of Jae‐Hyun Kim 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 Jae‐Hyun Kim. Jae‐Hyun Kim 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, Jae‐Hyun, Kayvon Daie, & Nuo Li. (2024). A combinatorial neural code for long-term motor memory. Nature. 637(8046). 663–672. 4 indexed citations
2.
3.
Jeong, Daun, Jae‐Hyun Kim, Choong Yeon Kim, et al.. (2023). Adolescent Parvalbumin Expression in the Left Orbitofrontal Cortex Shapes Sociability in Female Mice. Journal of Neuroscience. 43(9). 1555–1571. 10 indexed citations
4.
Kim, Namsuk, Eun Jung Lee, Jae‐Hyun Kim, et al.. (2023). Visuomotor anomalies in achiasmatic mice expressing a transfer-defective Vax1 mutant. Experimental & Molecular Medicine. 55(2). 385–400. 3 indexed citations
5.
6.
Kim, Jae‐Hyun, et al.. (2021). Gated feedforward inhibition in the frontal cortex releases goal-directed action. Nature Neuroscience. 24(10). 1452–1464. 24 indexed citations
7.
Kim, Jae‐Hyun, et al.. (2020). Association between GOHAI (Geriatric Natural Health Assessment Index) and QOL (Quality of Life). Health and Social Welfare Review. 40(4). 245–263. 4 indexed citations
8.
Song, Jun, Woochul Choi, Jae‐Hyun Kim, et al.. (2020). Precise Mapping of Single Neurons by Calibrated 3D Reconstruction of Brain Slices Reveals Topographic Projection in Mouse Visual Cortex. Cell Reports. 31(8). 107682–107682. 31 indexed citations
9.
Kim, Kwansoo, Jae‐Hyun Kim, Catherine Maclachlan, et al.. (2020). Somatostatin enhances visual processing and perception by suppressing excitatory inputs to parvalbumin-positive interneurons in V1. Science Advances. 6(17). eaaz0517–eaaz0517. 28 indexed citations
10.
Kim, Jae‐Hyun, et al.. (2018). Function of Selective Neuromodulatory Projections in the Mammalian Cerebral Cortex: Comparison Between Cholinergic and Noradrenergic Systems. Frontiers in Neural Circuits. 12. 47–47. 35 indexed citations
11.
Kim, Jae‐Hyun, et al.. (2018). Multi‐wavelength light emitting diode‐based disposable optrode array for in vivo optogenetic modulation. Journal of Biophotonics. 12(5). e201800343–e201800343. 4 indexed citations
12.
Kim, Jae‐Hyun, Hyewon Jeong, Ilsong Choi, et al.. (2017). A Neural Circuit for Auditory Dominance over Visual Perception. Neuron. 93(5). 1236–1237. 17 indexed citations
13.
Kim, Kwansoo, et al.. (2016). Functional dissection of inhibitory microcircuits in the visual cortex. Neuroscience Research. 116. 70–76. 7 indexed citations
14.
Kim, Jae‐Hyun, A-Hyun Jung, Daun Jeong, et al.. (2016). Selectivity of Neuromodulatory Projections from the Basal Forebrain and Locus Ceruleus to Primary Sensory Cortices. Journal of Neuroscience. 36(19). 5314–5327. 96 indexed citations
15.
Kim, Jae‐Hyun, et al.. (2016). Novel four-sided neural probe fabricated by a thermal lamination process of polymer films. Journal of Neuroscience Methods. 278. 25–35. 21 indexed citations
16.
Kim, In‐Hye, et al.. (2012). Cytoprotective Effect of Ethanol Extract from Maesil (Prunus mume Sieb. et Zucc.) on Alloxan-induced Oxidative Damage in Pancreatic-cell, HIT-T15. Korean Journal of Plant Resources. 25(2). 184–192. 3 indexed citations
17.
Hwang, In Guk, Dong‐Sik Park, Jae‐Hyun Kim, et al.. (2011). Antioxidant and Angiotensin Converting Enzyme I Inhibitory Activity on Different Parts of Germinated Rough Rice. Journal of the Korean Society of Food Science and Nutrition. 40(6). 775–780. 20 indexed citations
18.
Woo, Koan-Sik, Areum Chun, Sea‐Kwan Oh, et al.. (2010). Antioxidant and Antitumor Activities of Ethanol Extracts from Unhulled and Hulled Rice Hiami (Oryza sativa L. cv. Hiami). Journal of the Korean Society of Food Science and Nutrition. 39(2). 179–185. 6 indexed citations
19.
Kim, Jae‐Hyun, et al.. (1994). Anticancer Effects of Aloe on Sarcoma 180 in ICR Mouse and on Human Cancer Cell Lines. 38(3). 311–321. 7 indexed citations
20.
Hammond, Peter & Jae‐Hyun Kim. (1994). Spatial correlation of suppressive and excitatory receptive fields with direction selectivity of complex cells in cat striate cortex. Proceedings of the Royal Society B Biological Sciences. 257(1349). 179–184. 5 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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