Jaeson Jang

696 total citations
12 papers, 316 citations indexed

About

Jaeson Jang is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jaeson Jang has authored 12 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jaeson Jang's work include Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (6 papers) and Retinal Development and Disorders (4 papers). Jaeson Jang is often cited by papers focused on Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (6 papers) and Retinal Development and Disorders (4 papers). Jaeson Jang collaborates with scholars based in South Korea, Japan and United States. Jaeson Jang's co-authors include Se‐Bum Paik, Min Song, Hyun Yong Koh, Jeong Ho Lee, Dong Seok Kim, Jinju Han, Hyunjoo J. Lee, Daeyoup Lee, Hoon‐Chul Kang and Jae Seok Lim and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of Neuroscience.

In The Last Decade

Jaeson Jang

11 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jaeson Jang South Korea	9	145	98	54	54	43	12	316
Bastian David Germany	11	75 0.5×	67 0.7×	26 0.5×	83 1.5×	152 3.5×	23	389
Clément Debacker France	10	91 0.6×	39 0.4×	23 0.4×	48 0.9×	17 0.4×	21	295
Sruthi K. Swaminathan United States	7	305 2.1×	194 2.0×	7 0.1×	97 1.8×	4 0.1×	8	530
Wenjian Xu China	15	152 1.0×	168 1.7×	9 0.2×	49 0.9×	35 0.8×	30	493
Marieke van der Linden Netherlands	9	408 2.8×	31 0.3×	10 0.2×	30 0.6×	14 0.3×	10	476
Yuya Fujita Japan	13	113 0.8×	24 0.2×	12 0.2×	82 1.5×	20 0.5×	48	483
Meghan T. Miller United States	16	105 0.7×	373 3.8×	8 0.1×	84 1.6×	17 0.4×	23	647
Jane Roskams Canada	7	33 0.2×	108 1.1×	31 0.6×	125 2.3×	4 0.1×	11	376
Leonardo C. deAzevedo Brazil	10	193 1.3×	98 1.0×	67 1.2×	105 1.9×	74 1.7×	13	515
Jakob Straehle Germany	9	135 0.9×	109 1.1×	43 0.8×	154 2.9×	4 0.1×	20	444

Countries citing papers authored by Jaeson Jang

Since Specialization

Citations

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

Fields of papers citing papers by Jaeson Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaeson Jang

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

All Works

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12 of 12 papers shown

Calvert, Jonathan S., Jaeson Jang, Girish Chitnis, et al.. (2025). An active electronic, high-density epidural paddle array for chronic spinal cord neuromodulation. Journal of Neural Engineering. 22(2). 26023–26023.

Lee, Taeheon, Kibum Kim, Jin‐Man Jung, et al.. (2022). Synergy Through Integration of Wearable EEG and Virtual Reality for Mild Cognitive Impairment and Mild Dementia Screening. IEEE Journal of Biomedical and Health Informatics. 26(7). 2909–2919. 24 indexed citations

Jang, Jaeson, et al.. (2021). Periodic clustering of simple and complex cells in visual cortex. Neural Networks. 143. 148–160. 3 indexed citations

Song, Min, et al.. (2021). Projection of Orthogonal Tiling from the Retina to the Visual Cortex. Cell Reports. 34(1). 108581–108581. 8 indexed citations

Koh, Hyun Yong, Jaeson Jang, Ryunhee Kim, et al.. (2021). Non–Cell Autonomous Epileptogenesis in Focal Cortical Dysplasia. Annals of Neurology. 90(2). 285–299. 31 indexed citations

Jang, Jaeson, et al.. (2021). Visual number sense in untrained deep neural networks. Science Advances. 7(1). 45 indexed citations

Song, Min, et al.. (2021). Face detection in untrained deep neural networks. Nature Communications. 12(1). 7328–7328. 36 indexed citations

Jang, Jaeson, Min Song, & Se‐Bum Paik. (2020). Retino-Cortical Mapping Ratio Predicts Columnar and Salt-and-Pepper Organization in Mammalian Visual Cortex. Cell Reports. 30(10). 3270–3279.e3. 30 indexed citations

Song, Min, et al.. (2020). Spontaneous Retinal Waves Can Generate Long-Range Horizontal Connectivity in Visual Cortex. Journal of Neuroscience. 40(34). 6584–6599. 13 indexed citations

10.

Koh, Hyun Yong, Se Hoon Kim, Jaeson Jang, et al.. (2018). BRAF somatic mutation contributes to intrinsic epileptogenicity in pediatric brain tumors. Nature Medicine. 24(11). 1662–1668. 90 indexed citations

11.

Jang, Jaeson, et al.. (2017). Synaptic convergence regulates synchronization-dependent spike transfer in feedforward neural networks. Journal of Computational Neuroscience. 43(3). 189–202. 15 indexed citations

12.

Jang, Jaeson & Se‐Bum Paik. (2017). Interlayer Repulsion of Retinal Ganglion Cell Mosaics Regulates Spatial Organization of Functional Maps in the Visual Cortex. Journal of Neuroscience. 37(50). 12141–12152. 21 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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