Zhicheng Chen

888 citations
25 papers · 614 indexed · h-index 10

Zhicheng Chen

21 papers receiving 608 citations

Peers

Zhicheng Chen
Comparison fields: 5 of 91
  • Neurology 158
  • Physiology 62
  • Cancer Research 148
  • Physiology 187
  • Cellular and Molecular Neuroscience 118
Replace Jackelien van Scheppingen with:
Jackelien van Scheppingen Netherlands
Jianfeng Liang China
Aleksandra Janusz Poland
Arianna Venturini Italy
Marcel V. Alavi Germany
Lu-Lu Bu China
Xin Heng China
Ching‐Pang Chang Taiwan
Rebecca C. Meyer United States
Lauren Shields United States
Zhicheng Chen relative to Jackelien van Scheppingen Netherlands Jackelien van Scheppingen's profile →
Citations per field
00.5×4.1×
Jackelien van Scheppingen · 1×
Citations per year

Countries citing papers authored by Zhicheng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhicheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20255
3 20250
4 202413
5 20241
6 20223
7 20226
8 202218
9 20218
10 20206
11 2018128
12 2018150
13 2018118
14 20165
15 201535
16 201525
17 201453
18
Applications domain driven data mining methodology in bioinformatics
20140
19 201419
20
Quantitative Study on Expression of MSTN Gene in Different Tissues of Tibetan Sheep at Different Ages
20111

About Zhicheng Chen

Zhicheng Chen is a scholar working on Physiology, Neurology and Geriatrics and Gerontology, having authored 25 papers that have together received 614 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Adenosine and Purinergic Signaling (4 papers), Alzheimer's disease research and treatments (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Orbital Angular Momentum in Optics (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Neurology (158 citations), Physiology (62 citations) and Cancer Research (148 citations). Zhicheng Chen has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Dominic M. Walsh, Francisco S. Cayabyab, Jocelyn Stockwell, David Mengel, Dennis J. Selkoe, Elena Aïkawa, Tracy L. Young‐Pearse, Maja Mustapić, Dimitrios Kapogiannis and Diana Cha. Their work appears in journals such as Nature, Journal of Neuroscience and PLoS ONE.

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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