Chi‐Kuan Chen

1.4k citations
40 papers · 1.0k · h-index 16

Impact in

Papers in

    • Cancer-related gene regulation 4
    • RNA modifications and cancer 3
    • Epigenetics and DNA Methylation 3
    • Viral-associated cancers and disorders 3
    • HER2/EGFR in Cancer Research 3

Chi‐Kuan Chen

39 papers receiving 995 citations

Peers

Chi‐Kuan Chen
Comparison fields: 5 of 97
  • Cancer Research 149
  • Reproductive Medicine 65
  • Health, Toxicology and Mutagenesis 97
  • Molecular Biology 462
  • Oncology 173
Replace Wiesława Niklińska with:
Wiesława Niklińska Poland
Yao Tan China
Noboru Hara Japan
Jin Zhou China
Jian Xiong China
Jing Xue China
Takahiro Yoshida Japan
Joon Mee Kim South Korea
Yu Qiu China
Chi‐Kuan Chen relative to Wiesława Niklińska Poland Wiesława Niklińska's profile →
Citations per field
00.5×3.9×
Wiesława Niklińska · 1×
Citations per year

Countries citing papers authored by Chi‐Kuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Kuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009154
2 2014145
3 2014130
4 2016111
5 200698
6 201849
7 200836
8 201628
9 200623
10 201323
11 201320
12 201819
13 201517
14 200816
15 201716
16 201316
17 200914
18 201410
19 20108
20 20108

About Chi‐Kuan Chen

Chi‐Kuan Chen is a scholar working on Molecular Biology, Oncology, Surgery, Pathology and Forensic Medicine and Neurology, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (4 papers), Cancer-related gene regulation (4 papers), Viral-associated cancers and disorders (3 papers), HER2/EGFR in Cancer Research (3 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and Cutaneous lymphoproliferative disorders research (3 papers). The work is most often cited by research in Cancer Research (149 citations), Reproductive Medicine (65 citations), Health, Toxicology and Mutagenesis (97 citations), Molecular Biology (462 citations) and Oncology (173 citations). Chi‐Kuan Chen has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Shih‐Wei Chen, An‐Shik Yang, Hsin‐Yi Lee, Mu‐Hsien Yu, Her‐Young Su, Wea‐Lung Lin, Hung‐Cheng Lai, Ya‐Wen Lin, Yu‐Ching Chou and Wen‐Chi Lin. Their work appears in journals such as Oncotarget, Energy & Fuels, Journal of Cutaneous Pathology, Journal of Cellular Physiology and Human Pathology.

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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