Ming Gan

1.1k citations
31 papers · 740 indexed · h-index 13

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Physiology top 10%
    • Alzheimer's disease research and treatments

Papers in

Ming Gan

27 papers receiving 734 citations

Peers

Ming Gan
Comparison fields: 5 of 90
  • Neurology 216
  • Neurology 103
  • Physiology 291
  • Biological Psychiatry 27
  • Cellular and Molecular Neuroscience 167
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Ming Gan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming Gan Line = papers co-authored together Ming Gan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012214
2 201093
3 201778
4 201277
5 201432
6 201031
7 201428
8 201625
9 201324
10 201423
11 201621
12 201317
13 201913
14
Model Analysis of Particle Swarm Optimizer
200612
15 200511
16 20059
17
[Pathological change in the brain of mice infected with Angiostrongylus cantonensis].
20086
18 20215
19 20054
20 20034

About Ming Gan

Ming Gan is a scholar working on Neurology, Energy Engineering and Power Technology, Cellular and Molecular Neuroscience, Insect Science and Physiology, having authored 31 papers that have together received 740 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (10 papers), Nerve injury and regeneration (5 papers), Alzheimer's disease research and treatments (4 papers), Nuclear Receptors and Signaling (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Lysosomal Storage Disorders Research (3 papers), Cellular transport and secretion (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Neurology (216 citations), Neurology (103 citations), Physiology (291 citations), Biological Psychiatry (27 citations) and Cellular and Molecular Neuroscience (167 citations). Ming Gan has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Peizhou Jiang, Shu-Hui Yen, Dennis W. Dickson, Pamela J. McLean, Abdul Shukkur Ebrahim, Wen-Lang Lin, Guojun Bu, Takahisa Kanekiyo, Heather L. Melrose and Leon M. Tai. Their work appears in journals such as Acta Neuropathologica, Neurobiology of Aging, Acta Biochimica et Biophysica Sinica, Scientific Reports and Frontiers in Aging Neuroscience.

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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