Su-Youne Chang

3.0k total citations
74 papers, 2.1k citations indexed

About

Su-Youne Chang is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Su-Youne Chang has authored 74 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cellular and Molecular Neuroscience, 32 papers in Neurology and 11 papers in Molecular Biology. Recurrent topics in Su-Youne Chang's work include Neurological disorders and treatments (32 papers), Neuroscience and Neural Engineering (23 papers) and Neuroscience and Neuropharmacology Research (20 papers). Su-Youne Chang is often cited by papers focused on Neurological disorders and treatments (32 papers), Neuroscience and Neural Engineering (23 papers) and Neuroscience and Neuropharmacology Research (20 papers). Su-Youne Chang collaborates with scholars based in United States, South Korea and Czechia. Su-Youne Chang's co-authors include Kendall H. Lee, Uhnoh Kim, Kevin E. Bennet, Charles D. Blaha, David W. Roberts, David S. Alberts, Christopher J. Kimble, Hoon‐Ki Min, Inyong Kim and Philip D. Walson and has published in prestigious journals such as Nature, Journal of Neuroscience and NeuroImage.

In The Last Decade

Su-Youne Chang

72 papers receiving 2.1k citations

Peers

Su-Youne Chang

CMN

NEURO

EEE

Parastoo Hashemi United States

Kenji Yoshimi Japan

Jyoti C. Patel United States

Maurizio Balestrino Italy

François Pomerleau United States

David J. Anderson United States

Emanuele Ferrari Italy

Candan Depboylu Germany

Andrea Jaquins‐Gerstl United States

Parastoo Hashemi United States

Su-Youne Chang

1.1k ×1.1

CMN

429 ×0.6

NEURO

534 ×1.5

424 ×1.3

627 ×2.6

EEE

Citations per year, relative to Su-Youne Chang Su-Youne Chang (= 1×) peers Parastoo Hashemi

Countries citing papers authored by Su-Youne Chang

Since Specialization

Citations

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

Fields of papers citing papers by Su-Youne Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su-Youne Chang. 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 Su-Youne Chang. The network helps show where Su-Youne Chang may publish in the future.

Co-authorship network of co-authors of Su-Youne Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Su-Youne Chang. A scholar is included among the top collaborators of Su-Youne Chang 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 Su-Youne Chang. Su-Youne Chang 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

Trushin, Sergey, Thi Kim Oanh Nguyen, Su-Youne Chang, et al.. (2025). Therapeutic assessment of a novel mitochondrial complex I inhibitor in in vitro and in vivo models of Alzheimer's disease. EBioMedicine. 120. 105924–105924.

Anders, Jennifer, et al.. (2024). Effects of Unilateral High Frequency Stimulation of the Subthalamic Nucleus on Risk-avoidant Behavior in a Partial 6-hydroxydopamine Model of Parkinson's Disease. Journal of Integrative Neuroscience. 23(4). 84–84. 1 indexed citations

Nicolai, Evan N., Jorge Arturo Larco, Samuel J. Asirvatham, et al.. (2023). Vagus nerve stimulation using an endovascular electrode array. Journal of Neural Engineering. 20(4). 46008–46008. 9 indexed citations

Manciu, Felicia, et al.. (2022). Assessing Nordihydroguaiaretic Acid Therapeutic Effect for Glioblastoma Multiforme. Sensors. 22(7). 2643–2643. 10 indexed citations

Lee, Jeyeon, et al.. (2022). Thalamo-cortical network is associated with harmaline-induced tremor in rodent model. Experimental Neurology. 358. 114210–114210. 5 indexed citations

Manciu, Felicia, et al.. (2020). Combined Theoretical and Experimental Study of Nordihydroguaiaretic Acid – From Traditional Medicine to Modern Spectroscopic Research. Biointerface Research in Applied Chemistry. 10(6). 6728–6743. 4 indexed citations

Kang, Seungwoo, Sa‐Ik Hong, Jeyeon Lee, et al.. (2020). Activation of Astrocytes in the Dorsomedial Striatum Facilitates Transition From Habitual to Goal-Directed Reward-Seeking Behavior. Biological Psychiatry. 88(10). 797–808. 43 indexed citations

Rusheen, Aaron E., Abhinav Goyal, Hojin Shin, et al.. (2020). Advances in neurochemical measurements: A review of biomarkers and devices for the development of closed-loop deep brain stimulation systems. Reviews in Analytical Chemistry. 39(1). 188–199. 11 indexed citations

Chang, Su-Youne, et al.. (2020). Partial Inhibition of Mitochondrial Complex I Reduces Tau Pathology and Improves Energy Homeostasis and Synaptic Function in 3xTg-AD Mice. Journal of Alzheimer s Disease. 79(1). 335–353. 24 indexed citations

10.

Kuo, Sheng‐Han, Elan D. Louis, Phyllis L. Faust, et al.. (2019). Current Opinions and Consensus for Studying Tremor in Animal Models. The Cerebellum. 18(6). 1036–1063. 24 indexed citations

11.

Bruinsma, Tyler J., Yoonbae Oh, Dong Pyo Jang, et al.. (2018). The Relationship Between Dopamine Neurotransmitter Dynamics and the Blood-Oxygen-Level-Dependent (BOLD) Signal: A Review of Pharmacological Functional Magnetic Resonance Imaging. Frontiers in Neuroscience. 12. 238–238. 22 indexed citations

12.

Knight, Emily J., Su-Youne Chang, J. Luis Luján, et al.. (2013). Dopamine measurement during prolonged deep brain stimulation: A proof-of-principle study of paired pulse voltammetry. Biomedical Engineering Letters. 3(1). 22–31. 9 indexed citations

13.

Lee, Kendall H., Frederick L. Hitti, Su-Youne Chang, et al.. (2011). High frequency stimulation abolishes thalamic network oscillations: an electrophysiological and computational analysis. Journal of Neural Engineering. 8(4). 46001–46001. 32 indexed citations

14.

Chang, Su-Youne, et al.. (2009). Effect of Aging Treatment on Microstructural and Mechanical Characteristics of PEO Coatings on Mg-Al Alloy. Journal of Material Science and Technology. 24(1). 37–40. 4 indexed citations

15.

Kim, Uhnoh & Su-Youne Chang. (2005). Dendritic morphology, local circuitry, and intrinsic electrophysiology of neurons in the rat medial and lateral habenular nuclei of the epithalamus. The Journal of Comparative Neurology. 483(2). 236–250. 119 indexed citations

16.

Ryu, Bo Rum, Seok Joon Won, Su-Youne Chang, et al.. (2003). The Novel Neuroprotective Action of Sulfasalazine through Blockade of NMDA Receptors. Journal of Pharmacology and Experimental Therapeutics. 305(1). 48–56. 36 indexed citations

17.

Wu, W. N., et al.. (1988). Metabolism of bepridil in laboratory animals and humans.. Drug Metabolism and Disposition. 16(1). 69–77. 12 indexed citations

18.

Engel, Michael, et al.. (1981). Amino acids and hydrocarbons approximately 3,800-Myr old in the Isua rocks, southwestern Greenland. Nature. 289. 3 indexed citations

19.

Alberts, David S., et al.. (1978). Variability of melphalan (M) absorption in man. Proceedings of the American Association for Cancer Research. 19. 2 indexed citations

20.

Alberts, David S., et al.. (1977). Melphalan (M) disposition in man. Proceedings of the American Association for Cancer Research. 18. 3 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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