Chang‐Ching Yang

412 citations
9 papers · 350 · h-index 7

Impact in

Papers in

    • Genomics and Chromatin Dynamics 3
    • Ubiquitin and proteasome pathways 1
    • TGF-β signaling in diseases 1
    • Nuclear Structure and Function 1
    • Angiogenesis and VEGF in Cancer 1
    • Network Packet Processing and Optimization 1

Chang‐Ching Yang

9 papers receiving 344 citations

Peers

Chang‐Ching Yang
Comparison fields: 5 of 51
  • Genetics 112
  • Developmental Neuroscience 11
  • Pathology and Forensic Medicine 55
  • Molecular Biology 108
  • Cancer Research 17
Replace Cungang Fan with:
Cungang Fan China
Jacky Ferrer France
Seong Joon Kang South Korea
Baoyi Zhou Sweden
Iryna A. Isakova United States
Shen-Long Howng Taiwan
Xiaoyi Shao China
David Rincon Fernandez Pacheco Spain
M. Deininger Germany
Anhui Yao China
Chang‐Ching Yang relative to Cungang Fan China Cungang Fan's profile →
Citations per field
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Cungang Fan · 1×
Citations per year

Countries citing papers authored by Chang‐Ching Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Ching Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang‐Ching Yang. 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 Chang‐Ching Yang. The network helps show where Chang‐Ching Yang may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2008202
2 201748
3 201726
4 201224
5 201220
6 201616
7 201310
8
Two-phase Pattern Matching for Regular Expressions in Intrusion Detection Systems
20103
9 20171

About Chang‐Ching Yang

Chang‐Ching Yang is a scholar working on Molecular Biology, Hardware and Architecture, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Physiology, having authored 9 papers that have together received 350 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Telomeres, Telomerase, and Senescence (1 paper), Ubiquitin and proteasome pathways (1 paper), TGF-β signaling in diseases (1 paper), Nuclear Structure and Function (1 paper), Spinal Cord Injury Research (1 paper), Network Packet Processing and Optimization (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Genetics (112 citations), Developmental Neuroscience (11 citations), Pathology and Forensic Medicine (55 citations), Molecular Biology (108 citations) and Cancer Research (17 citations). Chang‐Ching Yang has collaborated with scholars based in Taiwan, Hong Kong and China. Frequent co-authors include Miau‐Hwa Ko, Yu-Show Fu, Yang‐Hsin Shih, Henrich Cheng, Bertrand Chin‐Ming Tan, Hsuan Liu, Hui‐Wen Chen, Wen‐Sy Tsai, Benjamin Yat‐Ming Yung and Wei‐Chao Liao. Their work appears in journals such as Oncotarget, PLoS ONE, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, Cell Death and Disease and Aging Cell.

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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