Meiting Chen

1.5k citations
72 papers · 927 · h-index 17

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

    • Circular RNAs in diseases 5
    • Lipid Membrane Structure and Behavior 4
    • HER2/EGFR in Cancer Research 5
    • Viral-associated cancers and disorders 4

Meiting Chen

67 papers receiving 918 citations

Peers

Meiting Chen
Comparison fields: 5 of 113
  • Cancer Research 205
  • Molecular Biology 433
  • Oncology 107
  • Hepatology 28
  • Immunology 66
Replace Chiaki Sato with:
Chiaki Sato Japan
Song Gu China
Taicheng Zhou China
Zhaoming Wang United States
Koji Kikuchi Japan
Takafumi Matsumura Japan
Raheel Qamar Pakistan
Jacques B de Kok Netherlands
Gilda Alves Brazil
Jie Xiang China
Meiting Chen relative to Chiaki Sato Japan Chiaki Sato's profile →
Citations per field
00.5×3.9×
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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016137
2 202294
3 200668
4 202262
5 201736
6 200935
7 202333
8 201733
9 202130
10 202128
11 202327
12 202426
13 201923
14 201820
15 202419
16 201616
17 202116
18 202114
19 202013
20 202112

About Meiting Chen

Meiting Chen is a scholar working on Molecular Biology, Oncology, Surgery, Pathology and Forensic Medicine and Cancer Research, having authored 72 papers that have together received 927 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), HER2/EGFR in Cancer Research (5 papers), Circular RNAs in diseases (5 papers), Cancer-related molecular mechanisms research (4 papers), Viral-associated cancers and disorders (4 papers), Lipid Membrane Structure and Behavior (4 papers), Herpesvirus Infections and Treatments (3 papers) and Bladder and Urothelial Cancer Treatments (3 papers). The work is most often cited by research in Cancer Research (205 citations), Molecular Biology (433 citations), Oncology (107 citations), Hepatology (28 citations) and Immunology (66 citations). Meiting Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Haifeng Mao, Shao-Peng Lin, Youming Long, Shan Ye, Ji‐hang Yuan, Ya-Wei Hsueh, Jenifer Thewalt, Mei Huang, Qingsong Yang and Shuhan Sun. Their work appears in journals such as BMC Cancer, Biophysical Journal, Annals of Hematology, The Oncologist and Frontiers in Oncology.

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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