Ming‐Chang Chiang

3.9k total citations · 1 hit paper
102 papers, 3.0k citations indexed

About

Ming‐Chang Chiang is a scholar working on Molecular Biology, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Ming‐Chang Chiang has authored 102 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 30 papers in Physiology and 21 papers in Cognitive Neuroscience. Recurrent topics in Ming‐Chang Chiang's work include Mitochondrial Function and Pathology (13 papers), Pain Mechanisms and Treatments (12 papers) and Genetic Neurodegenerative Diseases (11 papers). Ming‐Chang Chiang is often cited by papers focused on Mitochondrial Function and Pathology (13 papers), Pain Mechanisms and Treatments (12 papers) and Genetic Neurodegenerative Diseases (11 papers). Ming‐Chang Chiang collaborates with scholars based in Taiwan, United States and Canada. Ming‐Chang Chiang's co-authors include Chiahui Yen, Yi‐Chuan Cheng, Christopher J.B. Nicol, Yijuang Chern, Rong Huang, Sung‐Tsang Hsieh, Shiang‐Jiuun Chen, Kuan‐Hung Lin, Chien‐Hung Lin and Tsung‐Yu Tsai and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Ming‐Chang Chiang

98 papers receiving 2.9k citations

Hit Papers

Exploring the Frontiers of Neuroimaging: A Review of Rece... 2023 2026 2024 2025 2023 25 50 75 100

Peers

Ming‐Chang Chiang
Diane Stephenson United States
Sudeshna Das United States
Claire Henchcliffe United States
Garry Wong Finland
David C. Perry United States
William R. Sherman United States
Diane Stephenson United States
Ming‐Chang Chiang
Citations per year, relative to Ming‐Chang Chiang Ming‐Chang Chiang (= 1×) peers Diane Stephenson

Countries citing papers authored by Ming‐Chang Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chang Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Chang Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Chang Chiang. A scholar is included among the top collaborators of Ming‐Chang Chiang 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 Ming‐Chang Chiang. Ming‐Chang Chiang 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.
Hsueh, Hsueh‐Wen, Ya‐Fang Chen, Ta‐Fu Chen, et al.. (2025). Implications of perivascular spaces in amyotrophic lateral sclerosis: clinical significance and structural correlation. Brain Communications. 7(6). fcaf448–fcaf448.
2.
Chiang, Ming‐Chang, Christopher J.B. Nicol, Yuping Yang, T M Chiang, & Chiahui Yen. (2025). The α-MG exhibits neuroprotective potential by reducing amyloid beta peptide-induced inflammation, oxidative stress, and tau aggregation in human neural stem cells. Brain Research. 1852. 149506–149506. 3 indexed citations
3.
Chiang, Ming‐Chang, et al.. (2024). Gold Nanoparticles in Neurological Diseases: A Review of Neuroprotection. International Journal of Molecular Sciences. 25(4). 2360–2360. 44 indexed citations
4.
Chang, Herng-Hua, Shin‐Joe Yeh, Ming‐Chang Chiang, & Sung‐Tsang Hsieh. (2023). RU-Net: skull stripping in rat brain MR images after ischemic stroke with rat U-Net. BMC Medical Imaging. 23(1). 44–44. 5 indexed citations
5.
Yen, Chiahui, Chia-Li Lin, & Ming‐Chang Chiang. (2023). Exploring the Frontiers of Neuroimaging: A Review of Recent Advances in Understanding Brain Functioning and Disorders. Life. 13(7). 1472–1472. 103 indexed citations breakdown →
6.
Chao, Chi‐Chao, et al.. (2022). Limbic Connectivity Underlies Pain Treatment Response in Small‐Fiber Neuropathy. Annals of Neurology. 93(4). 655–667. 3 indexed citations
7.
Chao, Chi‐Chao, et al.. (2022). Impaired brain network architecture as neuroimaging evidence of pain in diabetic neuropathy. Diabetes Research and Clinical Practice. 186. 109833–109833. 11 indexed citations
8.
9.
Lin, Chien‐Hung, Yi‐Chuan Cheng, Christopher J.B. Nicol, et al.. (2017). Activation of AMPK is neuroprotective in the oxidative stress by advanced glycosylation end products in human neural stem cells. Experimental Cell Research. 359(2). 367–373. 41 indexed citations
11.
Lin, Sheng‐Jia, Ming‐Chang Chiang, Hung‐Yu Shih, et al.. (2016). Regulator of G protein signaling 2 (Rgs2) regulates neural crest development through Pparδ-Sox10 cascade. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1864(3). 463–474. 7 indexed citations
12.
Chen, Yen‐Lin, Dee Pei, Yi‐Chuan Cheng, et al.. (2015). The neuroprotective role of metformin in advanced glycation end product treated human neural stem cells is AMPK-dependent. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1852(5). 720–731. 71 indexed citations
13.
Yen, Chiahui, Ming‐Chang Chiang, & Chun‐Ming Chang. (2014). UNDERSTANDING COLLABORATIVE STICKINESS INTENTION IN SOCIAL NETWORK SITES FROM THE PERSPECTIVE OF KNOWLEDGE SHARING. Journal of the Association for Information Systems. 74. 1 indexed citations
14.
Chiang, Ming‐Chang, et al.. (2012). Enhanced Motor Learning in Older Adults Is Accompanied by Increased Bilateral Frontal and Fronto-Parietal Connectivity. Brain Connectivity. 2(2). 56–68. 22 indexed citations
15.
Chiang, Ming‐Chang, et al.. (2012). Age related differences in the neural substrates of motor sequence learning after interleaved and repetitive practice. NeuroImage. 62(3). 2007–2020. 39 indexed citations
16.
Chiang, Ming‐Chang, et al.. (2012). Beta-adrenoceptor pathway enhances mitochondrial function in human neural stem cells via rotary cell culture system. Journal of Neuroscience Methods. 207(2). 130–136. 32 indexed citations
17.
Lin, Chien‐Ho, et al.. (2012). Interleaved practice enhances skill learning and the functional connectivity of fronto‐parietal networks. Human Brain Mapping. 34(7). 1542–1558. 48 indexed citations
18.
Chiang, Ming‐Chang, Yijuang Chern, & Chiun‐Gung Juo. (2011). The dysfunction of hepatic transcriptional factors in mice with Huntington's Disease. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1812(9). 1111–1120. 29 indexed citations
19.
Chiang, Ming‐Chang, Yijuang Chern, & Rong Huang. (2011). PPARgamma rescue of the mitochondrial dysfunction in Huntington's disease. Neurobiology of Disease. 45(1). 322–328. 78 indexed citations
20.
Chiang, Ming‐Chang, Huimei Chen, Yi-Hsin Lee, et al.. (2007). Dysregulation of C/EBPα by mutant Huntingtin causes the urea cycle deficiency in Huntington's disease. Human Molecular Genetics. 16(5). 483–498. 80 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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