Ming-Tsan Su

1.2k total citations
24 papers, 972 citations indexed

About

Ming-Tsan Su is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Ming-Tsan Su has authored 24 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Ming-Tsan Su's work include Genetic Neurodegenerative Diseases (7 papers), Mitochondrial Function and Pathology (6 papers) and Neurobiology and Insect Physiology Research (5 papers). Ming-Tsan Su is often cited by papers focused on Genetic Neurodegenerative Diseases (7 papers), Mitochondrial Function and Pathology (6 papers) and Neurobiology and Insect Physiology Research (5 papers). Ming-Tsan Su collaborates with scholars based in Taiwan, United States and Tanzania. Ming-Tsan Su's co-authors include Rolf Bodmer, Guey‐Jen Lee‐Chen, H Kraft, James C. Smith, Clara Collart, Jacques Remacle, Gunther Wuytens, Kristin Verschueren, Przemko Tylżanowski and L Nelles and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Development.

In The Last Decade

Ming-Tsan Su

24 papers receiving 961 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming-Tsan Su Taiwan 17 628 248 120 100 100 24 972
Jose Galindo United States 7 775 1.2× 192 0.8× 53 0.4× 98 1.0× 76 0.8× 11 1.1k
Zhaohui Wang China 22 864 1.4× 94 0.4× 130 1.1× 100 1.0× 158 1.6× 49 1.3k
Sung Min Kim South Korea 21 624 1.0× 141 0.6× 146 1.2× 37 0.4× 107 1.1× 63 1.1k
Benjamin R. Myers United States 12 852 1.4× 220 0.9× 112 0.9× 48 0.5× 266 2.7× 15 1.2k
Hai Qian China 18 730 1.2× 441 1.8× 49 0.4× 86 0.9× 41 0.4× 57 1.2k
Xiaomei Xu China 11 483 0.8× 185 0.7× 60 0.5× 74 0.7× 74 0.7× 23 799
Vincent Ossipow Switzerland 12 619 1.0× 96 0.4× 46 0.4× 87 0.9× 114 1.1× 14 993
Negin P. Martin United States 21 865 1.4× 287 1.2× 46 0.4× 38 0.4× 123 1.2× 40 1.2k
Christina Van Itallie United States 4 764 1.2× 87 0.4× 97 0.8× 117 1.2× 94 0.9× 5 1.3k

Countries citing papers authored by Ming-Tsan Su

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Tsan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Tsan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Tsan Su. A scholar is included among the top collaborators of Ming-Tsan Su 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-Tsan Su. Ming-Tsan Su 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.
Tsai, Yao‐Chou, Yu-Chien Hsu, Yiru Huang, et al.. (2024). PIAS1 S510G variant acts as a genetic modifier of spinocerebellar ataxia type 3 by selectively impairing mutant ataxin-3 proteostasis. The International Journal of Biochemistry & Cell Biology. 176. 106662–106662. 1 indexed citations
2.
Huang, Hei-Jen, Guey‐Jen Lee‐Chen, Ying‐Chieh Sun, et al.. (2020). LMDS-1, a potential TrkB receptor agonist provides a safe and neurotrophic effect for early-phase Alzheimer’s disease. Psychopharmacology. 237(10). 3173–3190. 16 indexed citations
3.
Chen, Chiung‐Mei, Te‐Hsien Lin, Chih‐Ying Chao, et al.. (2018). The indole compound NC009-1 inhibits aggregation and promotes neurite outgrowth through enhancement of HSPB1 in SCA17 cells and ameliorates the behavioral deficits in SCA17 mice. NeuroToxicology. 67. 259–269. 20 indexed citations
4.
Huang, Hei-Jen, Hsin‐Yu Huang, Ying‐Chieh Sun, et al.. (2018). Chronic low dose of AM404 ameliorates the cognitive impairment and pathological features in hyperglycemic 3xTg-AD mice. Psychopharmacology. 236(2). 763–773. 16 indexed citations
5.
Lin, Chih‐Hsin, Yih‐Ru Wu, Kuo‐Hsuan Chang, et al.. (2016). Identifying GSK-3β kinase inhibitors of Alzheimer's disease: Virtual screening, enzyme, and cell assays. European Journal of Pharmaceutical Sciences. 89. 11–19. 27 indexed citations
6.
7.
Lee, Li-Ching, et al.. (2014). Deactivation of TBP contributes to SCA17 pathogenesis. Human Molecular Genetics. 23(25). 6878–6893. 26 indexed citations
8.
Lee, Li-Ching, et al.. (2014). Role of High Mobility Group Box 1 (HMGB1) in SCA17 Pathogenesis. PLoS ONE. 9(12). e115809–e115809. 18 indexed citations
9.
Su, Ming-Tsan, et al.. (2013). Semiautomatic and rapid quantification of heartbeat parameters inDrosophilausing optical coherence tomography imaging. Journal of Biomedical Optics. 18(2). 26004–26004. 7 indexed citations
10.
11.
Chen, Yen‐Hsu, et al.. (2012). Exendin-4 Protected against Cognitive Dysfunction in Hyperglycemic Mice Receiving an Intrahippocampal Lipopolysaccharide Injection. PLoS ONE. 7(7). e39656–e39656. 65 indexed citations
12.
Su, Ming-Tsan, et al.. (2011). Excessive Dpp signaling induces cardial apoptosis through dTAK1 and dJNK during late embryogenesis of Drosophila. Journal of Biomedical Science. 18(1). 85–85. 6 indexed citations
13.
Lin, Chih‐Hsin, Chiung‐Mei Chen, Yih‐Ru Wu, et al.. (2010). The CAG repeat in SCA12 functions as a cis element to up-regulate PPP2R2B expression. Human Genetics. 128(2). 205–212. 28 indexed citations
14.
Chou, Chi‐Chung, et al.. (2009). Drosophila notal bristle as a novel assessment tool for pathogenic study of Tau toxicity and screening of therapeutic compounds. Biochemical and Biophysical Research Communications. 391(1). 510–516. 14 indexed citations
15.
Lee, Li-Ching, Chiung‐Mei Chen, Pei-Ying Lin, et al.. (2008). Altered expression of HSPA5, HSPA8 and PARK7 in spinocerebellar ataxia type 17 identified by 2-dimensional fluorescence difference in gel electrophoresis. Clinica Chimica Acta. 400(1-2). 56–62. 20 indexed citations
16.
Huang, Hei-Jen, et al.. (2008). SCA8 mRNA expression suggests an antisense regulation of KLHL1 and correlates to SCA8 pathology. Brain Research. 1233. 176–184. 39 indexed citations
17.
Pan, Ju‐Pin, Wen-Lang Lin, Eric Lo, et al.. (2003). Identification and characterization of LDL receptor gene mutations in hyperlipidemic Chinese. Journal of Lipid Research. 44(10). 1850–1858. 39 indexed citations
18.
Verschueren, Kristin, Jacques Remacle, Clara Collart, et al.. (1999). SIP1, a Novel Zinc Finger/Homeodomain Repressor, Interacts with Smad Proteins and Binds to 5′-CACCT Sequences in Candidate Target Genes. Journal of Biological Chemistry. 274(29). 20489–20498. 413 indexed citations
19.
Su, Ming-Tsan, et al.. (1999). The pioneer gene, apontic, is required for morphogenesis and function of the Drosophila heart. Mechanisms of Development. 80(2). 125–132. 18 indexed citations
20.
Su, Ming-Tsan, Krista Golden, & Rolf Bodmer. (1998). X-gal Staining of Drosophila Embryos Compatible with Antibody Staining or In Situ Hybridization. BioTechniques. 24(6). 918–922. 13 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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