Yun-Ching Chen

796 citations
6 papers · 483 · h-index 4

Impact in

    • Ubiquitin and proteasome pathways
    • Retinoids in leukemia and cellular processes
    • RNA modifications and cancer
    • Protein Degradation and Inhibitors
    • RNA Research and Splicing
    • Cancer-related molecular mechanisms research

Papers in

    • RNA modifications and cancer 2
    • Ubiquitin and proteasome pathways 1
    • Genetic Associations and Epidemiology 2
    • Genetics and Neurodevelopmental Disorders 1

Yun-Ching Chen

5 papers receiving 479 citations

Peers

Yun-Ching Chen
Comparison fields: 5 of 57
  • Molecular Biology 378
  • Cancer Research 65
  • Parasitology 27
  • Oncology 86
  • Genetics 63
Replace Nicolas Stankovic‐Valentin with:
Nicolas Stankovic‐Valentin Germany
Sung‐Bau Lee Taiwan
Roberto Dal Zuffo Italy
Martijn van Hagen Netherlands
Sofie V. Nielsen Denmark
Francis P. McManus Canada
Dominique Klein Switzerland
Ulf Eidhoff Switzerland
Frédéric Lamoliatte United Kingdom
Marieke Lamers United Kingdom
Yun-Ching Chen relative to Nicolas Stankovic‐Valentin Germany Nicolas Stankovic‐Valentin's profile →
Citations per field
00.5×1.5×
Nicolas Stankovic‐Valentin · 1×
Citations per year

Countries citing papers authored by Yun-Ching Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yun-Ching Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2006349
2 201071
3 202048
4 201314
5 20191
6 20240

About Yun-Ching Chen

Yun-Ching Chen is a scholar working on Molecular Biology, Genetics, Organic Chemistry, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 6 papers that have together received 483 indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), Genetic Associations and Epidemiology (2 papers), Autism Spectrum Disorder Research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Ferroptosis and cancer prognosis (1 paper), Ubiquitin and proteasome pathways (1 paper), Toxoplasma gondii Research Studies (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Molecular Biology (378 citations), Cancer Research (65 citations), Parasitology (27 citations), Oncology (86 citations) and Genetics (63 citations). Yun-Ching Chen has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Hsiu-Ming Shih, Gerd G. Maul, Ding-Yen Lin, Chun-Chen Ho, Kun-Sang Chang, Yen‐Sung Huang, Ting-Ting Chao, Che‐Chang Chang, Ching‐Shu Suen and Jing‐Ping Liou. Their work appears in journals such as Scientific Data, Journal of Medicinal Chemistry, Frontiers in Genetics, Molecular Cell and PLoS Genetics.

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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