Sung‐Yon Kim

8.5k total citations · 5 hit papers
35 papers, 5.8k citations indexed

About

Sung‐Yon Kim is a scholar working on Molecular Biology, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Sung‐Yon Kim has authored 35 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Biomedical Engineering and 8 papers in Cognitive Neuroscience. Recurrent topics in Sung‐Yon Kim's work include Advanced Fluorescence Microscopy Techniques (7 papers), Neural dynamics and brain function (6 papers) and Photoreceptor and optogenetics research (5 papers). Sung‐Yon Kim is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (7 papers), Neural dynamics and brain function (6 papers) and Photoreceptor and optogenetics research (5 papers). Sung‐Yon Kim collaborates with scholars based in South Korea, United States and Puerto Rico. Sung‐Yon Kim's co-authors include Karl Deisseroth, Kay M. Tye, Julie J. Mirzabekov, Kimberly R. Thompson, Logan Grosenick, Charu Ramakrishnan, Viviana Gradinaru, Avishek Adhikari, Aaron S. Andalman and Melissa R. Warden and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sung‐Yon Kim

34 papers receiving 5.7k citations

Hit Papers

Structural and molecular interrogation of intact biologic... 2011 2026 2016 2021 2013 2011 2012 2012 2013 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung‐Yon Kim South Korea 22 2.3k 1.6k 1.5k 1.2k 852 35 5.8k
Julie J. Mirzabekov United States 6 2.2k 0.9× 1.4k 0.9× 1.3k 0.8× 735 0.6× 478 0.6× 6 4.5k
Kelly A. Zalocusky United States 15 2.1k 0.9× 1.7k 1.0× 1.7k 1.1× 825 0.7× 511 0.6× 21 5.5k
Matthias Eder Germany 30 2.0k 0.9× 880 0.5× 1.1k 0.7× 693 0.6× 343 0.4× 69 4.4k
Hirotaka Onoe Japan 43 1.9k 0.8× 1.5k 0.9× 2.5k 1.7× 486 0.4× 576 0.7× 171 7.0k
Thomas J. Davidson United States 28 5.6k 2.4× 4.6k 2.8× 2.4k 1.6× 861 0.7× 857 1.0× 49 9.6k
Axel Nimmerjahn United States 29 4.0k 1.7× 1.6k 1.0× 2.6k 1.7× 990 0.8× 711 0.8× 39 11.3k
Joanna Mattis United States 17 3.1k 1.3× 1.7k 1.0× 1.5k 1.0× 761 0.7× 749 0.9× 23 5.1k
Serge Charpak France 43 4.0k 1.7× 1.7k 1.0× 2.0k 1.3× 648 0.6× 1.0k 1.2× 74 8.5k
Yaniv Ziv Israel 28 2.4k 1.0× 1.8k 1.1× 1.4k 0.9× 473 0.4× 263 0.3× 44 6.6k
Yulong Li China 51 3.5k 1.5× 1.8k 1.1× 4.3k 2.8× 384 0.3× 371 0.4× 302 9.3k

Countries citing papers authored by Sung‐Yon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Yon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung‐Yon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Yon Kim. A scholar is included among the top collaborators of Sung‐Yon 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 Sung‐Yon Kim. Sung‐Yon 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, Seongchan, Joon‐Woo Kim, Jieun Han, et al.. (2025). Dual-phoretic wireless device for directionally oriented and carrier-free targeted drug delivery. Science Advances. 11(28). eads9269–eads9269.
2.
Koo, Dong-Jun, et al.. (2022). Three-dimensional imaging and analysis of pathological tissue samples with de novo generation of citrate-based fluorophores. Science Advances. 8(46). eadd9419–eadd9419. 5 indexed citations
3.
Ahn, Jungho, Da‐Hyun Kim, Dong-Jun Koo, et al.. (2022). 3D microengineered vascularized tumor spheroids for drug delivery and efficacy testing. Acta Biomaterialia. 165. 153–167. 33 indexed citations
4.
Kim, Sung‐Yon, et al.. (2022). Brain circuits for promoting homeostatic and non-homeostatic appetites. Experimental & Molecular Medicine. 54(4). 349–357. 27 indexed citations
5.
Kim, Hyun-Kyung, et al.. (2022). Lateral Septum Somatostatin Neurons are Activated by Diverse Stressors. Experimental Neurobiology. 31(6). 376–389. 9 indexed citations
6.
Kim, Sung‐Yon, et al.. (2021). Functional Dissection of Glutamatergic and GABAergic Neurons in the Bed Nucleus of the Stria Terminalis. Molecules and Cells. 44(2). 63–67. 18 indexed citations
7.
Lee, Myungsun, Dongyoon Kim, Dong-Jun Koo, et al.. (2021). A forebrain neural substrate for behavioral thermoregulation. Neuron. 110(2). 266–279.e9. 21 indexed citations
8.
Hong, Gyu‐Sang, Hyungsup Kim, Dongyoon Kim, et al.. (2020). Tentonin 3/TMEM150C senses blood pressure changes in the aortic arch. Journal of Clinical Investigation. 130(7). 3671–3683. 25 indexed citations
9.
Kim, Hyun Kyung, et al.. (2020). A neural circuit mechanism for mechanosensory feedback control of ingestion. Nature. 580(7803). 376–380. 100 indexed citations
10.
Kim, Sung‐Yon, et al.. (2019). Optogenetic stimulation promotes Schwann cell proliferation, differentiation, and myelination in vitro. Scientific Reports. 9(1). 3487–3487. 22 indexed citations
11.
Ahn, Jungho, Chong‐Su Cho, Joo H. Kang, et al.. (2018). Investigation on vascular cytotoxicity and extravascular transport of cationic polymer nanoparticles using perfusable 3D microvessel model. Acta Biomaterialia. 76. 154–163. 23 indexed citations
12.
Seo, Jinyoung, et al.. (2016). Clearing and Labeling Techniques for Large-Scale Biological Tissues. Molecules and Cells. 39(6). 439–446. 85 indexed citations
13.
Adhikari, Avishek, Talia N. Lerner, Joel Finkelstein, et al.. (2015). Basomedial amygdala mediates top-down control of anxiety and fear. Nature. 527(7577). 179–185. 358 indexed citations
14.
Bolton, Andrew D., Yasunobu Murata, Rory Kirchner, et al.. (2015). A Diencephalic Dopamine Source Provides Input to the Superior Colliculus, where D1 and D2 Receptors Segregate to Distinct Functional Zones. Cell Reports. 13(5). 1003–1015. 50 indexed citations
15.
Kim, Sung‐Yon, Kwanghun Chung, & Karl Deisseroth. (2013). Light microscopy mapping of connections in the intact brain. Trends in Cognitive Sciences. 17(12). 596–599. 61 indexed citations
16.
Chung, Kwanghun, Jenelle L. Wallace, Sung‐Yon Kim, et al.. (2013). Structural and molecular interrogation of intact biological systems. Nature. 497(7449). 332–337. 1417 indexed citations breakdown →
17.
Namburi, Praneeth, et al.. (2012). Optogenetic dissection of neural circuits underlying emotional valence and motivated behaviors. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
18.
Tye, Kay M., Julie J. Mirzabekov, Melissa R. Warden, et al.. (2012). Dopamine neurons modulate neural encoding and expression of depression-related behaviour. Nature. 493(7433). 537–541. 805 indexed citations breakdown →
19.
Warden, Melissa R., Aslihan Selimbeyoglu, Julie J. Mirzabekov, et al.. (2012). A prefrontal cortex–brainstem neuronal projection that controls response to behavioural challenge. Nature. 492(7429). 428–432. 487 indexed citations breakdown →
20.
Tye, Kay M., Rohit Prakash, Sung‐Yon Kim, et al.. (2011). Amygdala circuitry mediating reversible and bidirectional control of anxiety. Nature. 471(7338). 358–362. 932 indexed citations breakdown →

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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