Sung‐Yon Kim
- Behavioral Neuroscience top 0.5%
- Biophysics top 0.1%
- Advanced Fluorescence Microscopy Techniques 7
- Cell Image Analysis Techniques 5
- Biological Psychiatry top 1%
- Cellular and Molecular Neuroscience top 0.5%
- Photoreceptor and optogenetics research 5
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 6
- Memory and Neural Mechanisms 4
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- 3D Printing in Biomedical Research 5
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- Circadian rhythm and melatonin 4
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- RNA Interference and Gene Delivery 3
- Co-authors
- Karl DeisserothKay M. TyeJulie J. MirzabekovKimberly R. ThompsonLogan GrosenickCharu RamakrishnanViviana GradinaruAvishek Adhikari
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Sung‐Yon Kim
34 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Behavioral Neuroscience 748
- Biophysics 1.2k
- Biological Psychiatry 365
- Cellular and Molecular Neuroscience 2.3k
- Cognitive Neuroscience 1.6k
Countries citing papers authored by Sung‐Yon Kim
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
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
The 25 scholars most cited alongside Sung‐Yon Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2022 | 5 | |
| 3 | 2022 | 33 | |
| 4 | 2022 | 27 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 18 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 25 | |
| 9 | 2020 | 100 | |
| 10 | 2019 | 22 | |
| 11 | 2018 | 23 | |
| 12 | 2016 | 85 | |
| 13 | 2015 | 358 | |
| 14 | 2015 | 50 | |
| 15 | 2013 | 61 | |
| 16 | Structural and molecular interrogation of intact biological systemsbreakdown → | 2013 | 1417 |
| 17 | Optogenetic dissection of neural circuits underlying emotional valence and motivated behaviors | 2012 | 2 |
| 18 | Dopamine neurons modulate neural encoding and expression of depression-related behaviourbreakdown → | 2012 | 805 |
| 19 | A prefrontal cortex–brainstem neuronal projection that controls response to behavioural challengebreakdown → | 2012 | 487 |
| 20 | Amygdala circuitry mediating reversible and bidirectional control of anxietybreakdown → | 2011 | 932 |
About Sung‐Yon Kim
Sung‐Yon Kim is a scholar working on Biophysics, Endocrine and Autonomic Systems and Structural Biology, having authored 35 papers that have together received 5.8k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (7 papers), Neural dynamics and brain function (6 papers), Photoreceptor and optogenetics research (5 papers), 3D Printing in Biomedical Research (5 papers), Cell Image Analysis Techniques (5 papers), Circadian rhythm and melatonin (4 papers), Memory and Neural Mechanisms (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Behavioral Neuroscience (748 citations), Biophysics (1.2k citations) and Biological Psychiatry (365 citations). Sung‐Yon Kim has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent 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. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.