TaeHyun Kim

1.7k total citations
28 papers, 926 citations indexed

About

TaeHyun Kim is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, TaeHyun Kim has authored 28 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Electrical and Electronic Engineering. Recurrent topics in TaeHyun Kim's work include Neuroscience and Neuropharmacology Research (7 papers), Advanced Memory and Neural Computing (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). TaeHyun Kim is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Advanced Memory and Neural Computing (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). TaeHyun Kim collaborates with scholars based in South Korea, United States and India. TaeHyun Kim's co-authors include Bong‐Kiun Kaang, Hyoung‐Gon Ko, Jaehyun Lee, Chae‐Seok Lim, Ji‐il Kim, Dong Il Choi, Su-Eon Sim, Jihae Oh, Sanghyun Ye and Jun‐Hyeok Choi and has published in prestigious journals such as Science, Nature Communications and Neuron.

In The Last Decade

TaeHyun Kim

25 papers receiving 917 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
TaeHyun Kim South Korea	13	432	300	288	235	102	28	926
Su-Eon Sim South Korea	6	322 0.7×	240 0.8×	211 0.7×	125 0.5×	68 0.7×	9	571
Rafał Czajkowski Poland	16	544 1.3×	587 2.0×	227 0.8×	75 0.3×	100 1.0×	33	1.1k
Christian Lee United States	23	760 1.8×	294 1.0×	561 1.9×	172 0.7×	58 0.6×	43	1.7k
Richard Rueda United States	6	543 1.3×	515 1.7×	743 2.6×	270 1.1×	283 2.8×	8	1.7k
Hamdy Shaban Switzerland	14	647 1.5×	420 1.4×	390 1.4×	129 0.5×	88 0.9×	26	1.0k
Alcino J. Silva United States	13	268 0.6×	269 0.9×	216 0.8×	75 0.3×	246 2.4×	25	911
Michael T. Craig United States	15	941 2.2×	609 2.0×	421 1.5×	148 0.6×	244 2.4×	24	1.4k
Patrik Krieger Germany	19	719 1.7×	495 1.6×	407 1.4×	109 0.5×	82 0.8×	40	1.1k
Benjamin W. Okaty United States	15	581 1.3×	367 1.2×	560 1.9×	69 0.3×	131 1.3×	16	1.2k

Countries citing papers authored by TaeHyun Kim

Since Specialization

Citations

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

Fields of papers citing papers by TaeHyun Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of TaeHyun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of TaeHyun Kim. A scholar is included among the top collaborators of TaeHyun 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 TaeHyun Kim. TaeHyun Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Choi, Tsan‐Ming, TaeHyun Kim, Min Gyu Kim, et al.. (2025). Deciphering the anti-obesity mechanisms of pharmabiotic probiotics through advanced multiomics analysis. iScience. 28(2). 111890–111890. 2 indexed citations

Kim, TaeHyun, Benjamin T. James, Martin C. Kahn, et al.. (2024). Gamma entrainment using audiovisual stimuli alleviates chemobrain pathology and cognitive impairment induced by chemotherapy in mice. Science Translational Medicine. 16(737). eadf4601–eadf4601. 15 indexed citations

Rodrígues-Amorím, Daniela, P. Lorenzo Bozzelli, TaeHyun Kim, et al.. (2024). Multisensory gamma stimulation mitigates the effects of demyelination induced by cuprizone in male mice. Nature Communications. 15(1). 6744–6744. 8 indexed citations

Kim, TaeHyun, et al.. (2024). Effects of Athletes' Self-Management and Competitive State Anxiety on Performance. Journal of the Korea Entertainment Industry Association. 18(8). 97–106.

Huang, Wen‐Chin, Zhuyu Peng, Mitchell H. Murdock, et al.. (2023). Lateral mammillary body neurons in mouse brain are disproportionately vulnerable in Alzheimer’s disease. Science Translational Medicine. 15(692). eabq1019–eabq1019. 11 indexed citations

Yu, Seong‐Lan, Hyejin Jeon, Dong Chul Lee, et al.. (2023). Exosomal miR-205-5p Improves Endometrial Receptivity by Upregulating E-Cadherin Expression through ZEB1 Inhibition. International Journal of Molecular Sciences. 24(20). 15149–15149. 12 indexed citations

Kim, Kyoungmin, et al.. (2023). Plasma dicing before grinding process for highly reliable singulation of low-profile and large die sizes in advanced packages. Micro and Nano Systems Letters. 11(1). 6 indexed citations

Kim, TaeHyun, Dong Il Choi, Ja Eun Choi, et al.. (2023). Activated somatostatin interneurons orchestrate memory microcircuits. Neuron. 112(2). 201–208.e4. 11 indexed citations

Yu, Seong‐Lan, Dong Chul Lee, Hyejin Jeon, et al.. (2022). The miR-182-5p/NDRG1 Axis Controls Endometrial Receptivity through the NF-κB/ZEB1/E-Cadherin Pathway. International Journal of Molecular Sciences. 23(20). 12303–12303. 15 indexed citations

10.

Choi, Ja Eun, Dong Il Choi, Jisu Lee, et al.. (2022). Synaptic ensembles between raphe and D ₁ R-containing accumbens shell neurons underlie postisolation sociability in males. Science Advances. 8(41). eabo7527–eabo7527. 13 indexed citations

11.

Imani, Mohsen, Hanning Chen, TaeHyun Kim, et al.. (2022). Neural computation for robust and holographic face detection. Proceedings of the 59th ACM/IEEE Design Automation Conference. 31–36. 14 indexed citations

12.

Kim, TaeHyun, et al.. (2021). A Study on Analysis of national R&D research trends for Artificial Intelligence using LDA topic modeling. Journal of Internet Computing and services. 22(5). 47–55. 1 indexed citations

13.

Ryu, Hyun-Hee, TaeHyun Kim, Jung-Woong Kim, et al.. (2019). Excitatory neuron–specific SHP2-ERK signaling network regulates synaptic plasticity and memory. Science Signaling. 12(571). 35 indexed citations

14.

Kim, TaeHyun, et al.. (2019). Real-Time Detection on Cache Side Channel Attacks using Performance Counter Monitor. 175–177. 8 indexed citations

15.

Choi, Jun‐Hyeok, Su-Eon Sim, Ji‐il Kim, et al.. (2018). Interregional synaptic maps among engram cells underlie memory formation. Science. 360(6387). 430–435. 263 indexed citations

16.

Kim, Somi, TaeHyun Kim, Hye‐Ryeon Lee, et al.. (2016). Impaired learning and memory in CD38 null mutant mice. Molecular Brain. 9(1). 16–16. 47 indexed citations

17.

Ko, Hyoung‐Gon, Ji‐il Kim, TaeHyun Kim, et al.. (2016). The role of nuclear PKMζ in memory maintenance. Neurobiology of Learning and Memory. 135. 50–56. 17 indexed citations

18.

Lim, Chae-Seok, Jae‐Ick Kim, Daekwan Seo, et al.. (2016). The Brain-Enriched MicroRNA miR-9-3p Regulates Synaptic Plasticity and Memory. Journal of Neuroscience. 36(33). 8641–8652. 92 indexed citations

19.

Kim, TaeHyun, Chae‐Seok Lim, & Bong‐Kiun Kaang. (2015). Cell type-specific gene expression profiling in brain tissue: comparison between TRAP, LCM and RNA-seq. BMB Reports. 48(7). 388–394. 16 indexed citations

20.

Koga, Kohei, Giannina Descalzi, Tao Chen, et al.. (2014). Coexistence of Two Forms of LTP in ACC Provides a Synaptic Mechanism for the Interactions between Anxiety and Chronic Pain. Neuron. 85(2). 377–389. 291 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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