Aiping Chen

710 citations
30 papers · 501 · h-index 13

Impact in

Papers in

    • Genomics and Phylogenetic Studies 6
    • RNA Interference and Gene Delivery 2
    • Kruppel-like factors research 2
    • RNA Research and Splicing 2
    • Phytoplasmas and Hemiptera pathogens 2

Aiping Chen

28 papers receiving 496 citations

Peers

Aiping Chen
Comparison fields: 5 of 81
  • Endocrinology 55
  • Cancer Research 83
  • Molecular Medicine 25
  • Molecular Biology 261
  • Immunology 60
Replace Su In Lee with:
Su In Lee South Korea
Patompon Wongtrakoongate Thailand
Rita Setroikromo Netherlands
Márcia Y. Kondo Brazil
Victoria J. Bartlett United States
Yulin Shou United States
Shui‐Tsung Chen Taiwan
Sarah Maguire United Kingdom
Guillermina Alonso Venezuela
Mingming Gao China
Aiping Chen relative to Su In Lee South Korea Su In Lee's profile →
Citations per field
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Su In Lee · 1×
Citations per year

Countries citing papers authored by Aiping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Aiping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201687
2 201949
3 201641
4 201738
5 201437
6 201432
7 201431
8 201030
9 201520
10 202120
11 201616
12 202014
13 201914
14 200812
15 201212
16 202210
17 201510
18 20188
19 20225
20
[Correlations of EGFR and LRP to chemotherapy resistance and prognosis of ovarian cancer].
20084

About Aiping Chen

Aiping Chen is a scholar working on Molecular Biology, Plant Science, Genetics, Oncology and Endocrinology, having authored 30 papers that have together received 501 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Virus-based gene therapy research (4 papers), Vibrio bacteria research studies (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), RNA Interference and Gene Delivery (2 papers), Phytoplasmas and Hemiptera pathogens (2 papers), Kruppel-like factors research (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Endocrinology (55 citations), Cancer Research (83 citations), Molecular Medicine (25 citations), Molecular Biology (261 citations) and Immunology (60 citations). Aiping Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Jiwu Wei, Shu‐Jen Chou, Gang Meng, Wen‐Chi Lee, Ho‐Ming Chen, Aiqin Jiang, Xia Mao, Yonghui Zhang, Junhua Wu and Meihong Zheng. Their work appears in journals such as Oncotarget, Oncology Reports, International Journal of Environmental Research and Public Health, PLoS ONE and Cancer Biology & Therapy.

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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