Meiting Chen

1.4k citations
70 papers · 857 indexed · h-index 16

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Lipid Membrane Structure and Behavior
    • Cancer-related gene regulation

Papers in

    • Viral-associated cancers and disorders 9
    • HER2/EGFR in Cancer Research 8
    • Cancer Treatment and Pharmacology 5
    • Cancer-related molecular mechanisms research 6

Meiting Chen

62 papers receiving 848 citations

Peers

Meiting Chen
Comparison fields: 5 of 113
  • Cancer Research 248
  • Molecular Biology 462
  • Oncology 140
  • Immunology 76
  • Hepatology 27
Replace Chiaki Sato with:
Chiaki Sato Japan
Taicheng Zhou China
Song Gu China
Naoko Shimada Japan
Jie Xiang China
Qinghua Min China
Geoffroy Durand France
Saeam Shin South Korea
Daisuke Endo Japan
Koji Kikuchi Japan
Meiting Chen relative to Chiaki Sato Japan Chiaki Sato's profile →
Citations per field
00.5×3.8×
Chiaki Sato · 1×
Citations per year

Countries citing papers authored by Meiting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Meiting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016133
2 202292
3 200667
4 202256
5 201735
6 200934
7 201733
8 202330
9 202129
10 202126
11 202324
12 201923
13 202422
14 201819
15 201616
16 202115
17 202013
18 202413
19 202113
20 202112

About Meiting Chen

Meiting Chen is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Otorhinolaryngology and Biological Psychiatry, having authored 70 papers that have together received 857 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Viral-associated cancers and disorders (9 papers), HER2/EGFR in Cancer Research (8 papers), Cancer-related molecular mechanisms research (6 papers), Cancer Treatment and Pharmacology (5 papers), Circular RNAs in diseases (5 papers), RNA modifications and cancer (5 papers) and Advanced Breast Cancer Therapies (5 papers). The work is most often cited by research in Cancer Research (248 citations), Molecular Biology (462 citations), Oncology (140 citations), Immunology (76 citations) and Hepatology (27 citations). Meiting Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Shan Ye, Haifeng Mao, Shao-Peng Lin, Youming Long, Shuhan Sun, Mei Huang, Ya-Wei Hsueh, Fang Wang, Jenifer Thewalt and Ji‐hang Yuan. Their work appears in journals such as BMC Cancer, Biophysical Journal, Annals of Hematology, International Journal of Biological Macromolecules and Cellular & Molecular Biology Letters.

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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