Hsiang-Ching Chung

905 citations
3 papers · 501 · h-index 3

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Ubiquitin and proteasome pathways
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Retinoids in leukemia and cellular processes
    • Histone Deacetylase Inhibitors Research

Papers in

    • Ubiquitin and proteasome pathways 2
    • Kruppel-like factors research 1
    • Histone Deacetylase Inhibitors Research 1
    • Retinoids in leukemia and cellular processes 1
    • MicroRNA in disease regulation 1
    • Cancer-related molecular mechanisms research 1
    • Cancer, Hypoxia, and Metabolism 1

Hsiang-Ching Chung

3 papers receiving 500 citations

Peers

Hsiang-Ching Chung
Comparison fields: 5 of 45
  • Cancer Research 222
  • Molecular Biology 414
  • Oncology 88
  • Cell Biology 35
  • Immunology 35
Replace Dean A. Fennell with:
Dean A. Fennell United Kingdom
C. Zhang United States
Fengbiao Zhou China
K-H Klempnauer Germany
Olga Vaksman Israel
Sandra C. Frommel Switzerland
Chiou-Nan Shiue Sweden
Akihisa Fukumoto Japan
Dennis Gately United States
Mikael Lerner Sweden
Hsiang-Ching Chung relative to Dean A. Fennell United Kingdom Dean A. Fennell's profile →
Citations per field
00.5×
Dean A. Fennell · 1×
Citations per year

Countries citing papers authored by Hsiang-Ching Chung

Since Specialization
Citations

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

Fields of papers citing papers by Hsiang-Ching Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About Hsiang-Ching Chung

Hsiang-Ching Chung is a scholar working on Molecular Biology, Cancer Research, Hematology, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 501 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (2 papers), Kruppel-like factors research (1 paper), Acute Myeloid Leukemia Research (1 paper), MicroRNA in disease regulation (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Cancer-related molecular mechanisms research (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Cancer Research (222 citations), Molecular Biology (414 citations), Oncology (88 citations), Cell Biology (35 citations) and Immunology (35 citations). Hsiang-Ching Chung has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Ruey‐Hwa Chen, Yu‐Min Lin, Hsin‐Yi Chen, Jin‐Tung Liang, Ching‐Jung Lin, Zhen Chen, Hsien‐Da Huang, Yaw‐Dong Lang, Wei-Chi Wang and John Huang. Their work appears in journals such as Cancer Research, Cancer Cell and Nature Communications.

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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