Chenchen Mu

672 citations
15 papers · 531 · h-index 13

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Amyotrophic Lateral Sclerosis Research
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Circadian rhythm and melatonin

Papers in

    • Parkinson's Disease Mechanisms and Treatments 7
    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Amyotrophic Lateral Sclerosis Research 3
    • Nuclear Receptors and Signaling 4
    • Genetic Neurodegenerative Diseases 2

Chenchen Mu

15 papers receiving 521 citations

Peers

Chenchen Mu
Comparison fields: 5 of 81
  • Neurology 194
  • Neurology 84
  • Endocrine and Autonomic Systems 49
  • Biological Psychiatry 17
  • Aging 12
Replace Lavinia Palamiuc with:
Lavinia Palamiuc United States
Ching‐Pang Chang Taiwan
Evelien Van Schoor Belgium
Nancy Monroy‐Jaramillo Mexico
Jana Turečková Czechia
María Florencia Angelo France
Wen Zhu United States
Vera P. Medvedeva United States
Hongquan Jiang China
Xin Heng China
Chenchen Mu relative to Lavinia Palamiuc United States Lavinia Palamiuc's profile →
Citations per field
00.5×1.5×2.0×
Lavinia Palamiuc · 1×
Citations per year

Countries citing papers authored by Chenchen Mu

Since Specialization
Citations

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

Fields of papers citing papers by Chenchen Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chenchen Mu, 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 Chenchen Mu Line = papers co-authored together Chenchen Mu links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2018100
2 201173
3 201072
4 201968
5 201234
6 201829
7 201929
8 202424
9 201821
10 201221
11 201717
12 201915
13 202214
14 20248
15 20236

About Chenchen Mu

Chenchen Mu is a scholar working on Neurology, Cellular and Molecular Neuroscience, Neurology, Endocrine and Autonomic Systems and Molecular Biology, having authored 15 papers that have together received 531 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Nuclear Receptors and Signaling (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Genetic Neurodegenerative Diseases (2 papers), Epigenetics and DNA Methylation (2 papers), Circadian rhythm and melatonin (2 papers) and Lysosomal Storage Disorders Research (1 paper). The work is most often cited by research in Neurology (194 citations), Neurology (84 citations), Endocrine and Autonomic Systems (49 citations), Biological Psychiatry (17 citations) and Aging (12 citations). Chenchen Mu has collaborated with scholars based in China. Frequent co-authors include Guanghui Wang, Haigang Ren, Kai Fu, Zongbing Hao, Hongyang Sun, Bin Li, Dan Wang, Shun Zhang, Rui Wang and Dan Michelle Wang. Their work appears in journals such as Journal of Biological Chemistry, Science Signaling, Acta Pharmacologica Sinica, Neuroscience Bulletin and Journal of Cellular Physiology.

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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