Yeye Chen

642 citations
55 papers · 451 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Myasthenia Gravis and Thymoma

Papers in

Yeye Chen

49 papers receiving 444 citations

Peers

Yeye Chen
Comparison fields: 5 of 65
  • Cancer Research 142
  • Neurology 45
  • Sensory Systems 13
  • Complementary and alternative medicine 21
  • Molecular Biology 176
Replace Xiufeng Jiang with:
Xiufeng Jiang China
Shijun Wang China
Yijun Chen China
Subhojit Paul India
Shaojie Bi China
Courtney J. Pokrzywa United States
Daoqin Zhang China
Teodora Karan-Djurašević Serbia
Sohachi Nanjo Japan
Katharina Schimmel United States
Yeye Chen relative to Xiufeng Jiang China Xiufeng Jiang's profile →
Citations per field
00.5×2×4×6.5×
Xiufeng Jiang · 1×
Citations per year

Countries citing papers authored by Yeye Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yeye Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 201737
3 200832
4 201431
5 201828
6 202025
7 202025
8 202024
9
Circ_0007142/miR-186/FOXK1 axis promoted lung adenocarcinoma progression.
202021
10 201719
11 202017
12 202513
13 202113
14 201611
15
Serum miR-342-3p is a novel diagnostic and prognostic biomarker for non-small cell lung cancer.
201811
16 202210
17 20219
18 20227
19 20087
20 20215

About Yeye Chen

Yeye Chen is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Epidemiology, having authored 55 papers that have together received 451 indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (14 papers), Lung Cancer Diagnosis and Treatment (9 papers), Cancer-related molecular mechanisms research (7 papers), Neuroendocrine Tumor Research Advances (5 papers), MicroRNA in disease regulation (5 papers), Lung Cancer Research Studies (4 papers), Circular RNAs in diseases (4 papers) and Metastasis and carcinoma case studies (4 papers). The work is most often cited by research in Cancer Research (142 citations), Neurology (45 citations), Sensory Systems (13 citations), Complementary and alternative medicine (21 citations) and Molecular Biology (176 citations). Yeye Chen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xiaoyun Zhou, Shanqing Li, Yingzhi Qin, Hongsheng Liu, Cheng Huang, Zhijun Han, Dongjie Ma, Jia He, Hongsheng Liu and Jiaqi Zhang. Their work appears in journals such as OncoTargets and Therapy, Cancer Management and Research, BMC Surgery, World Journal of Surgical Oncology and Orphanet Journal of Rare Diseases.

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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