Yun Chen

2.3k citations
107 papers · 1.7k indexed · h-index 23

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing

Papers in

Yun Chen

99 papers receiving 1.6k citations

Peers

Yun Chen
Comparison fields: 5 of 142
  • Cancer Research 582
  • Molecular Biology 637
  • Endocrinology, Diabetes and Metabolism 133
  • Oncology 172
  • Geriatrics and Gerontology 24
Replace Amy Barrett with:
Amy Barrett United States
Jie Qiu China
Na Shen China
China
Yuli Huang China
Zhiheng Chen China
Yajun Yang China
Fei Xue China
Ying Gao China
D. Köhler Germany
Yun Chen relative to Amy Barrett United States Amy Barrett's profile →
Citations per field
00.5×2.9×
Amy Barrett · 1×
Citations per year

Countries citing papers authored by Yun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20255
4 20251
5 20246
6 202410
7 20241
8 20238
9 202311
10 20225
11 20211
12 202030
13 20202
14
Wnt5a Induces Interleukin-6 Via a ROR1-Dependent Pathway in Chronic Lymphocytic Leukemia, Leading to Leukemia-Cell Activation of STAT3
20171
15 20172
16 201714
17 201727
18 201616
19
[Effect of poor dietary behaviors on the overweight and obesity of school-aged children].
20144
20 201114

About Yun Chen

Yun Chen is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism, Genetics, Behavioral Neuroscience and Cardiology and Cardiovascular Medicine, having authored 107 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (18 papers), RNA modifications and cancer (12 papers), Obesity, Physical Activity, Diet (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers), Cardiovascular Disease and Adiposity (4 papers), Mycobacterium research and diagnosis (4 papers) and Nutritional Studies and Diet (4 papers). The work is most often cited by research in Cancer Research (582 citations), Molecular Biology (637 citations), Endocrinology, Diabetes and Metabolism (133 citations), Oncology (172 citations) and Geriatrics and Gerontology (24 citations). Yun Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chaowei Fu, Junwei Tang, Runqiu Jiang, Wen‐Ming Chu, Lei Deng, Ke Wang, Wei Jia, Beicheng Sun, Yu Xie and Jie Ji. Their work appears in journals such as International Journal of Environmental Research and Public Health, Lipids in Health and Disease, Frontiers in Public Health, Blood and Frontiers in Immunology.

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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