Se‐Bum Paik

1.9k total citations
38 papers, 861 citations indexed

About

Se‐Bum Paik is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Se‐Bum Paik has authored 38 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 20 papers in Cellular and Molecular Neuroscience and 11 papers in Molecular Biology. Recurrent topics in Se‐Bum Paik's work include Neural dynamics and brain function (22 papers), Visual perception and processing mechanisms (12 papers) and Neuroscience and Neuropharmacology Research (12 papers). Se‐Bum Paik is often cited by papers focused on Neural dynamics and brain function (22 papers), Visual perception and processing mechanisms (12 papers) and Neuroscience and Neuropharmacology Research (12 papers). Se‐Bum Paik collaborates with scholars based in South Korea, United States and Germany. Se‐Bum Paik's co-authors include Dario L. Ringach, Jaeson Jang, Min Song, Woochul Choi, Donald A. Glaser, Jun Song, Young‐Jin Park, Daesoo Kim, Min Whan Jung and Jeong Ho Lee and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Se‐Bum Paik

35 papers receiving 849 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Se‐Bum Paik South Korea 17 482 317 175 81 78 38 861
Maximilian E. Dougherty United States 10 495 1.0× 228 0.7× 142 0.8× 54 0.7× 55 0.7× 18 838
Masaki Takeda Japan 17 515 1.1× 188 0.6× 46 0.3× 54 0.7× 22 0.3× 33 870
Michael Dayan United States 14 474 1.0× 195 0.6× 45 0.3× 97 1.2× 85 1.1× 29 928
Michael N. Economo United States 18 727 1.5× 750 2.4× 299 1.7× 155 1.9× 57 0.7× 28 1.6k
David J. Margolis United States 18 386 0.8× 577 1.8× 412 2.4× 60 0.7× 63 0.8× 38 1.4k
Alberto Antonietti Italy 17 324 0.7× 127 0.4× 53 0.3× 128 1.6× 30 0.4× 49 755
Hanno S. Meyer Germany 14 765 1.6× 747 2.4× 169 1.0× 36 0.4× 38 0.5× 41 1.3k
Lixin Zhang China 16 490 1.0× 516 1.6× 169 1.0× 93 1.1× 37 0.5× 37 1.1k
Sara K. Inati United States 23 1.1k 2.3× 514 1.6× 127 0.7× 24 0.3× 88 1.1× 78 1.6k
Jessie R. Liu United States 10 524 1.1× 243 0.8× 33 0.2× 78 1.0× 68 0.9× 15 799

Countries citing papers authored by Se‐Bum Paik

Since Specialization
Citations

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

Fields of papers citing papers by Se‐Bum Paik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Se‐Bum Paik. 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 Se‐Bum Paik. The network helps show where Se‐Bum Paik may publish in the future.

Co-authorship network of co-authors of Se‐Bum Paik

This figure shows the co-authorship network connecting the top 25 collaborators of Se‐Bum Paik. A scholar is included among the top collaborators of Se‐Bum Paik 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 Se‐Bum Paik. Se‐Bum Paik 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.
Choi, Woochul, et al.. (2023). Comparison of visual quantities in untrained neural networks. Cell Reports. 42(8). 112900–112900. 1 indexed citations
2.
Kim, Woohyun, Yu Jin Jeong, Kyungdeok Kim, et al.. (2022). Suppressed prefrontal neuronal firing variability and impaired social representation in IRSp53-mutant mice. eLife. 11. 4 indexed citations
3.
Jeong, Huijeong, et al.. (2021). Parallel processing of working memory and temporal information by distinct types of cortical projection neurons. Nature Communications. 12(1). 4352–4352. 16 indexed citations
4.
Jang, Jaeson, et al.. (2021). Periodic clustering of simple and complex cells in visual cortex. Neural Networks. 143. 148–160. 3 indexed citations
5.
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
6.
Jeong, Minju, Youngsoo Kim, Eric Hou-Jen Wang, et al.. (2021). Interhemispheric Cortico-Cortical Pathway for Sequential Bimanual Movements in Mice. eNeuro. 8(4). ENEURO.0200–21.2021. 3 indexed citations
7.
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
8.
Jang, Jaeson, et al.. (2021). Visual number sense in untrained deep neural networks. Science Advances. 7(1). 45 indexed citations
9.
Song, Min, et al.. (2021). Face detection in untrained deep neural networks. Nature Communications. 12(1). 7328–7328. 36 indexed citations
10.
Shin, Jung Hwan, Min Song, Se‐Bum Paik, & Min Whan Jung. (2020). Spatial organization of functional clusters representing reward and movement information in the striatal direct and indirect pathways. Proceedings of the National Academy of Sciences. 117(43). 27004–27015. 20 indexed citations
11.
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
12.
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
13.
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
14.
Liu, Danqian, Weifu Li, Chenyan Ma, et al.. (2020). A common hub for sleep and motor control in the substantia nigra. Science. 367(6476). 440–445. 83 indexed citations
15.
Park, Young‐Jin, et al.. (2020). A brain-inspired network architecture for cost-efficient object recognition in shallow hierarchical neural networks. Neural Networks. 134. 76–85. 6 indexed citations
16.
Song, Min, et al.. (2018). Classification of Spatiotemporal Neural Activity Patterns in Brain Imaging Data. Scientific Reports. 8(1). 8231–8231. 7 indexed citations
17.
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
18.
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
19.
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
20.
Park, Young‐Jin, Woochul Choi, & Se‐Bum Paik. (2017). Symmetry of learning rate in synaptic plasticity modulates formation of flexible and stable memories. Scientific Reports. 7(1). 5671–5671. 19 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Maximilian E. Dougherty Breakdown of academic impact, for papers by Masaki Takeda Breakdown of academic impact, for papers by Michael Dayan Breakdown of academic impact, for papers by Michael N. Economo Breakdown of academic impact, for papers by David J. Margolis Breakdown of academic impact, for papers by Alberto Antonietti Breakdown of academic impact, for papers by Hanno S. Meyer Breakdown of academic impact, for papers by Lixin Zhang Breakdown of academic impact, for papers by Sara K. Inati Breakdown of academic impact, for papers by Jessie R. Liu
Rankless by CCL
2026