Ming Gan

1.1k total citations
31 papers, 740 citations indexed

About

Ming Gan is a scholar working on Neurology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Ming Gan has authored 31 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Physiology. Recurrent topics in Ming Gan's work include Parkinson's Disease Mechanisms and Treatments (10 papers), Nerve injury and regeneration (5 papers) and Alzheimer's disease research and treatments (4 papers). Ming Gan is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (10 papers), Nerve injury and regeneration (5 papers) and Alzheimer's disease research and treatments (4 papers). Ming Gan collaborates with scholars based in China, United States and Sweden. Ming Gan's co-authors include Peizhou Jiang, Shu-Hui Yen, Dennis W. Dickson, Pamela J. McLean, Abdul Shukkur Ebrahim, Wen-Lang Lin, Takahisa Kanekiyo, Guojun Bu, Heather L. Melrose and Leon M. Tai and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Ming Gan

27 papers receiving 734 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 Gan China 13 291 233 216 167 103 31 740
Ilka Schneider Germany 14 282 1.0× 336 1.4× 49 0.2× 198 1.2× 54 0.5× 38 738
Sandy Torres United States 11 302 1.0× 411 1.8× 83 0.4× 121 0.7× 135 1.3× 14 758
Thomas Rival France 15 210 0.7× 507 2.2× 117 0.5× 394 2.4× 75 0.7× 18 1.0k
Caitlin E. O’Brien United States 7 193 0.7× 170 0.7× 62 0.3× 63 0.4× 172 1.7× 8 509
Hannah Scheiblich Germany 14 259 0.9× 379 1.6× 161 0.7× 206 1.2× 418 4.1× 21 966
Arun Pal Germany 16 361 1.2× 478 2.1× 477 2.2× 315 1.9× 158 1.5× 26 1.3k
Rasoul Farazifard Iran 10 184 0.6× 447 1.9× 187 0.9× 189 1.1× 44 0.4× 13 826
Laura Shapiro Kulnane United States 10 531 1.8× 413 1.8× 63 0.3× 217 1.3× 102 1.0× 10 1.0k
Marc C. Meulener United States 8 141 0.5× 331 1.4× 412 1.9× 293 1.8× 103 1.0× 8 766
Xiuhe Zhao China 17 105 0.4× 273 1.2× 93 0.4× 154 0.9× 40 0.4× 48 830

Countries citing papers authored by Ming Gan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Gan. A scholar is included among the top collaborators of Ming Gan 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 Gan. Ming Gan 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.
2.
Jiang, Peizhou, Ming Gan, Shu‐Hui Yen, & Dennis W. Dickson. (2021). Nanoparticles With Affinity for α-Synuclein Sequester α-Synuclein to Form Toxic Aggregates in Neurons With Endolysosomal Impairment. Frontiers in Molecular Neuroscience. 14. 738535–738535. 5 indexed citations
3.
Jiang, Peizhou, Ming Gan, & Dennis W. Dickson. (2020). Apoptotic Neuron-Derived Histone Amyloid Fibrils Induce α-Synuclein Aggregation. Molecular Neurobiology. 58(2). 867–876. 3 indexed citations
4.
Jiang, Peizhou, Ming Gan, Shu-Hui Yen, Pamela J. McLean, & Dennis W. Dickson. (2017). Impaired endo-lysosomal membrane integrity accelerates the seeding progression of α-synuclein aggregates. Scientific Reports. 7(1). 7690–7690. 78 indexed citations
5.
Jiang, Peizhou, Ming Gan, Shu-Hui Yen, et al.. (2016). Proaggregant nuclear factor(s) trigger rapid formation of α-synuclein aggregates in apoptotic neurons. Acta Neuropathologica. 132(1). 77–91. 25 indexed citations
6.
Jiang, Peizhou, Ming Gan, Wen-Lang Lin, & Shu-Hui Yen. (2014). Nutrient deprivation induces α-synuclein aggregation through endoplasmic reticulum stress response and SREBP2 pathway. Frontiers in Aging Neuroscience. 6. 268–268. 32 indexed citations
7.
Gan, Ming, Simon Moussaud, Peizhou Jiang, & Pamela J. McLean. (2014). Extracellular ATP induces intracellular alpha-synuclein accumulation via P2X1 receptor-mediated lysosomal dysfunction. Neurobiology of Aging. 36(2). 1209–1220. 28 indexed citations
8.
Gan, Ming, Peizhou Jiang, Pamela J. McLean, Takahisa Kanekiyo, & Guojun Bu. (2014). Low-Density Lipoprotein Receptor-Related Protein 1 (LRP1) Regulates the Stability and Function of GluA1 α-Amino-3-Hydroxy-5-Methyl-4-Isoxazole Propionic Acid (AMPA) Receptor in Neurons. PLoS ONE. 9(12). e113237–e113237. 23 indexed citations
9.
Zhang, Meichun, Xiaoying Zheng, Yu Wu, et al.. (2013). Differential proteomics of Aedes albopictus salivary gland, midgut and C6/36 cell induced by dengue virus infection. Virology. 444(1-2). 109–118. 24 indexed citations
10.
Jiang, Peizhou, Ming Gan, & Shu-Hui Yen. (2013). Dopamine prevents lipid peroxidation-induced accumulation of toxic α-synuclein oligomers by preserving autophagy-lysosomal function. Frontiers in Cellular Neuroscience. 7. 81–81. 17 indexed citations
11.
Youmans, Katherine L., Leon M. Tai, Evelyn Nwabuisi‐Heath, et al.. (2012). APOE4-specific Changes in Aβ Accumulation in a New Transgenic Mouse Model of Alzheimer Disease. Journal of Biological Chemistry. 287(50). 41774–41786. 214 indexed citations
12.
Gan, Ming. (2012). Wind power generation analytical model for the reliability evaluation of power systems. Power System Protection and Control. 3 indexed citations
13.
Zhang, Meichun, Xiaoying Zheng, Yu Wu, et al.. (2010). Quantitative Analysis of Replication and Tropisms of Dengue Virus Type 2 in Aedes albopictus. American Journal of Tropical Medicine and Hygiene. 83(3). 700–707. 31 indexed citations
14.
Jiang, Peizhou, Ming Gan, Abdul Shukkur Ebrahim, et al.. (2010). ER stress response plays an important role in aggregation of α-synuclein. Molecular Neurodegeneration. 5(1). 56–56. 93 indexed citations
15.
Li, Huafeng, et al.. (2009). Multi-support and multi-dimension excitation seismic analysis on New Kunming Airport Building. 39(12). 68–70. 1 indexed citations
16.
Gan, Ming. (2009). Analysis on epidemiologic features of behavior problems of school-aged children in Beijing. Zhongguo fuyou baojian. 1 indexed citations
17.
Gan, Ming. (2007). SVPWM Algorithm and Its Implemention Based on DSP. 2 indexed citations
18.
Yu, Liang, et al.. (2007). Analysis of a survey on the infection of Achatina fulica with Angiostrongylus cantonensis in Guangzhou, Guangdong province.. Zhongguo renshougonghuanbing zazhi. 23(2). 191–194. 1 indexed citations
19.
Gan, Ming. (2006). Model Analysis of Particle Swarm Optimizer. Acta Automatica Sinica. 12 indexed citations
20.
Gan, Ming. (2002). Numerical simulation of 2-D coarsening of bed during riverbed erosion. Journal of Hydrodynamics. 1 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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