Yi‐Chen Yen

527 citations
11 papers · 405 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer-related gene regulation
    • Kruppel-like factors research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Extracellular vesicles in disease
    • Epigenetics and DNA Methylation

Papers in

    • Kruppel-like factors research 2
    • Angiogenesis and VEGF in Cancer 2
    • Cancer-related gene regulation 2
    • Circular RNAs in diseases 2
    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 2

Yi‐Chen Yen

11 papers receiving 404 citations

Peers

Yi‐Chen Yen
Comparison fields: 5 of 58
  • Cancer Research 171
  • Molecular Biology 316
  • Immunology and Allergy 26
  • Periodontics 17
  • Otorhinolaryngology 14
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Sheetal Bhan United States
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Angela Cramer United Kingdom
Irina Abécassis United States
Yohei Sogabe Japan
Tomitaro Onoue Japan
Yoshifumi Tomizuka Japan
Nilesh Gardi India
Elyse L. Walk United States
Soraia Melo Portugal
Yi‐Chen Yen relative to Sheetal Bhan United States Sheetal Bhan's profile →
Citations per field
00.5×4.3×
Sheetal Bhan · 1×
Citations per year

Countries citing papers authored by Yi‐Chen Yen

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Chen Yen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2014115
2 201287
3 201856
4 201735
5 201934
6 201534
7 201917
8 201011
9 20169
10 20135
11 20202

About Yi‐Chen Yen

Yi‐Chen Yen is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Pathology and Forensic Medicine, having authored 11 papers that have together received 405 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Kruppel-like factors research (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Cancer-related gene regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), Circular RNAs in diseases (2 papers), interferon and immune responses (1 paper) and Lymphatic System and Diseases (1 paper). The work is most often cited by research in Cancer Research (171 citations), Molecular Biology (316 citations), Immunology and Allergy (26 citations), Periodontics (17 citations) and Otorhinolaryngology (14 citations). Yi‐Chen Yen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ya‐Wen Chen, Brian C. Lewis, Jang‐Yang Chang, Jenn‐Ren Hsiao, Shih Sheng Jiang, I–Shou Chang, Jeffrey S. Chang, Yi‐Shing Shieh, Shine‐Gwo Shiah and Sen‐Tien Tsai. Their work appears in journals such as Scientific Reports, Cancers, Journal of Biological Chemistry, Oncotarget and International Journal of Cancer.

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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