Kuo‐Hsuan Chang

5.4k total citations · 1 hit paper
171 papers, 4.0k citations indexed

About

Kuo‐Hsuan Chang is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kuo‐Hsuan Chang has authored 171 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Neurology, 56 papers in Molecular Biology and 55 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kuo‐Hsuan Chang's work include Parkinson's Disease Mechanisms and Treatments (28 papers), Genetic Neurodegenerative Diseases (25 papers) and Alzheimer's disease research and treatments (21 papers). Kuo‐Hsuan Chang is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (28 papers), Genetic Neurodegenerative Diseases (25 papers) and Alzheimer's disease research and treatments (21 papers). Kuo‐Hsuan Chang collaborates with scholars based in Taiwan, United States and United Kingdom. Kuo‐Hsuan Chang's co-authors include Chiung‐Mei Chen, Yih‐Ru Wu, Jeffrey L. Saver, Meng Lee, Guey‐Jen Lee‐Chen, Bruce Ovbiagele, Long‐Sun Ro, Hung‐Wei Liao, Soju Chang and Rong‐Kuo Lyu and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kuo‐Hsuan Chang

165 papers receiving 4.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Biomarker of Neuroinflammation in Parkinson’s Disease

2022 154 citations Chiung‐Mei Chen, Kuo‐Hsuan Chang et al. International Journal of Molecular Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kuo‐Hsuan Chang Taiwan	32	1.4k	1.1k	764	645	527	171	4.0k
Sung‐Chun Tang Taiwan	43	1.6k 1.2×	1.4k 1.3×	565 0.7×	902 1.4×	1.4k 2.6×	251	6.9k
Na Zhao China	31	1.8k 1.3×	494 0.5×	612 0.8×	1.8k 2.9×	233 0.4×	139	4.9k
Irene Paterniti Italy	44	1.9k 1.4×	550 0.5×	477 0.6×	733 1.1×	396 0.8×	191	5.1k
Keri L.H. Carpenter United Kingdom	43	1.8k 1.3×	2.2k 2.0×	429 0.6×	265 0.4×	956 1.8×	113	5.3k
Iain P. Hargreaves United Kingdom	35	3.2k 2.3×	464 0.4×	472 0.6×	775 1.2×	697 1.3×	112	5.0k
Gang Zhao China	39	2.1k 1.5×	426 0.4×	200 0.3×	420 0.7×	378 0.7×	134	4.8k
Yong Wei China	22	1.7k 1.2×	319 0.3×	330 0.4×	936 1.5×	401 0.8×	56	3.9k
Fan Fan United States	35	1.4k 1.0×	247 0.2×	244 0.3×	753 1.2×	354 0.7×	176	4.2k
Xinbing Wei China	39	2.0k 1.4×	350 0.3×	257 0.3×	417 0.6×	409 0.8×	72	4.0k
Earl F. Ellis United States	34	1.3k 0.9×	1.0k 0.9×	797 1.0×	599 0.9×	493 0.9×	62	3.8k

Countries citing papers authored by Kuo‐Hsuan Chang

Since Specialization

Citations

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

Fields of papers citing papers by Kuo‐Hsuan Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Hsuan 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 Kuo‐Hsuan Chang. The network helps show where Kuo‐Hsuan Chang may publish in the future.

Co-authorship network of co-authors of Kuo‐Hsuan Chang

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

Chang, Kuo‐Hsuan, et al.. (2024). Heterogeneous Integration of Memristive and Piezoresistive MDMO‐PPV‐Based Copolymers in Nociceptive Transmission with Fast and Slow Pain for an Artificial Pain‐Perceptual System. Small. 20(42). e2311040–e2311040. 6 indexed citations

Chang, Kuo‐Hsuan, et al.. (2024). Diagnostic Potential of Alternations of Bile Acid Profiles in the Plasma of Patients with Huntington’s Disease. Metabolites. 14(7). 394–394. 1 indexed citations

Lin, Te‐Hsien, I‐Cheng Chen, Chih‐Hsin Lin, et al.. (2024). Small Molecules Inducing Autophagic Degradation of Expanded Polyglutamine Protein through Interaction with Both Mutant ATXN3 and LC3. International Journal of Molecular Sciences. 25(19). 10707–10707. 1 indexed citations

Chang, Chien-Hung, et al.. (2024). Predictive modelling of hospital-acquired infection in acute ischemic stroke using machine learning. Scientific Reports. 14(1). 31066–31066.

Chen, Chiung‐Mei, et al.. (2023). A Neuroprotective Action of Quercetin and Apigenin through Inhibiting Aggregation of Aβ and Activation of TRKB Signaling in a Cellular Experiment. Biomolecules & Therapeutics. 31(3). 285–297. 28 indexed citations

Chang, Kuo‐Hsuan, Chia-Hsin Liu, Yiru Wang, et al.. (2023). Upregulation of APAF1 and CSF1R in Peripheral Blood Mononuclear Cells of Parkinson’s Disease. International Journal of Molecular Sciences. 24(8). 7095–7095. 2 indexed citations

Lin, Chih‐Hsin, Chung‐Yin Lin, Yen‐Shi Lo, et al.. (2023). Investigating Therapeutic Effects of Indole Derivatives Targeting Inflammation and Oxidative Stress in Neurotoxin-Induced Cell and Mouse Models of Parkinson’s Disease. International Journal of Molecular Sciences. 24(3). 2642–2642. 18 indexed citations

Wu, Yih‐Ru, Yang‐Yu Cheng, Chien‐Tai Ren, et al.. (2023). Ganglioside-focused Glycan Array Reveals Abnormal Anti-GD1b Auto-antibody in Plasma of Preclinical Huntington’s Disease. Molecular Neurobiology. 60(7). 3873–3882. 1 indexed citations

Chang, Kuo‐Hsuan, Chiung‐Mei Chen, Chia‐Ni Lin, et al.. (2023). Identification of blood metabolic biomarkers associated with diabetic distal symmetric sensorimotor polyneuropathy in patients with type 2 diabetes mellitus. Journal of the Peripheral Nervous System. 28(4). 651–663. 3 indexed citations

10.

Chang, Kuo‐Hsuan, Mei‐Ling Cheng, Hsiang-Yu Tang, et al.. (2022). Alterations of Sphingolipid and Phospholipid Pathways and Ornithine Level in the Plasma as Biomarkers of Parkinson’s Disease. Cells. 11(3). 395–395. 27 indexed citations

11.

Lee, Cheng‐Hung, Julien G. Roth, Ching‐Chi Chiu, et al.. (2022). Tuning pro-survival effects of human induced pluripotent stem cell-derived exosomes using elastin-like polypeptides. Biomaterials. 291. 121864–121864. 7 indexed citations

12.

Lin, Te‐Hsien, Chiung‐Mei Chen, Chih‐Hsin Lin, et al.. (2021). Novel Synthetic Coumarin‐Chalcone Derivative (E)‐3‐(3‐(4‐(Dimethylamino)Phenyl)Acryloyl)‐4‐Hydroxy‐2H‐Chromen‐2‐One Activates CREB‐Mediated Neuroprotection in Aβ and Tau Cell Models of Alzheimer’s Disease. Oxidative Medicine and Cellular Longevity. 2021(1). 3058861–3058861. 14 indexed citations

13.

Chen, Chiung‐Mei, Te‐Hsien Lin, Shu-Mei Yang, et al.. (2020). New Synthetic 3-Benzoyl-5-Hydroxy-2H-Chromen-2-One (LM-031) Inhibits Polyglutamine Aggregation and Promotes Neurite Outgrowth through Enhancement of CREB, NRF2, and Reduction of AMPKα in SCA17 Cell Models. Oxidative Medicine and Cellular Longevity. 2020. 1–17. 5 indexed citations

14.

Ng, Chau Yee, et al.. (2020). Association of multiple sclerosis with vitiligo: a systematic review and meta-analysis. Scientific Reports. 10(1). 17792–17792. 4 indexed citations

15.

Lin, Te‐Hsien, Chih‐Hsin Lin, Chung‐Yin Lin, et al.. (2020). Exploration of multi‐target effects of 3‐benzoyl‐5‐hydroxychromen‐2‐one in Alzheimer’s disease cell and mouse models. Aging Cell. 19(7). e13169–e13169. 14 indexed citations

16.

Wu, Yi-Ming, Chi‐Hung Liu, Kuo‐Hsuan Chang, et al.. (2020). Computed Tomography Angiography in Acute Stroke Patients Receiving Recombinant Tissue Plasminogen Activator: Outcome and Safety Evaluations in an Asian Population. Cerebrovascular Diseases. 49(1). 62–69. 4 indexed citations

17.

Chen, I‐Cheng, Te‐Hsien Lin, Chih‐Ying Chao, et al.. (2018). Formulated Chinese Medicine Shaoyao Gancao Tang Reduces Tau Aggregation and Exerts Neuroprotection through Anti‐Oxidation and Anti‐Inflammation. Oxidative Medicine and Cellular Longevity. 2018(1). 9595741–9595741. 31 indexed citations

18.

Chen, Chiung‐Mei, et al.. (2018). Novel synthetic chalcone‐coumarin hybrid for Aβ aggregation reduction, antioxidation, and neuroprotection. CNS Neuroscience & Therapeutics. 24(12). 1286–1298. 49 indexed citations

19.

Chen, Chiung‐Mei, Yu‐Ting Weng, Wan-Ling Chen, et al.. (2014). Aqueous extract of Glycyrrhiza inflata inhibits aggregation by upregulating PPARGC1A and NFE2L2–ARE pathways in cell models of spinocerebellar ataxia 3. Free Radical Biology and Medicine. 71. 339–350. 37 indexed citations

20.

Wang, Chun-Kai, et al.. (2006). α-Synuclein promoter RsaI T-to-C polymorphism and the risk of Parkinson’s disease. Journal of Neural Transmission. 113(10). 1425–1433. 14 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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