Chenchen Mu

633 citations
15 papers · 482 · h-index 12

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

    • Epigenetics and DNA Methylation 2
    • Parkinson's Disease Mechanisms and Treatments 7
    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Amyotrophic Lateral Sclerosis Research 3

Chenchen Mu

15 papers receiving 477 citations

Peers

Chenchen Mu
Comparison fields: 5 of 83
  • Neurology 188
  • Neurology 93
  • Endocrine and Autonomic Systems 51
  • Biological Psychiatry 18
  • Aging 12
Replace Victoria Burchell with:
Victoria Burchell United Kingdom
Lavinia Palamiuc France
Benjamin A. Harlan United States
Sergei V. Baranov United States
Yunlan Du China
Ching‐Pang Chang Taiwan
Gürdal Şahin Sweden
Stan Atkin United States
Jenni E. Anttila Finland
Evelien Van Schoor Belgium
Chenchen Mu relative to Victoria Burchell United Kingdom Victoria Burchell's profile →
Citations per field
00.5×1.5×
Victoria Burchell · 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 201894
2 201169
3 201067
4 201964
5 201232
6 201828
7 201927
8 201821
9 201221
10 201715
11 202413
12 201912
13 202211
14 20244
15 20234

About Chenchen Mu

Chenchen Mu is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Neurology and Endocrine and Autonomic Systems, having authored 15 papers that have together received 482 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), Epigenetics and DNA Methylation (2 papers), Circadian rhythm and melatonin (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Neurology (188 citations), Neurology (93 citations), Endocrine and Autonomic Systems (51 citations), Biological Psychiatry (18 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, Dan Wang and Rui Wang. Their work appears in journals such as Journal of Biological Chemistry, Acta Pharmacologica Sinica, Science Signaling, Cancer Letters and Neuroscience Bulletin.

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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