Chia‐Ron Yang

2.0k citations
56 papers · 1.7k indexed · h-index 25

Impact in

Papers in

    • Histone Deacetylase Inhibitors Research 17
    • Protein Degradation and Inhibitors 6
    • Peptidase Inhibition and Analysis 6
    • Cancer-related Molecular Pathways 4

Chia‐Ron Yang

55 papers receiving 1.7k citations

Peers

Chia‐Ron Yang
Comparison fields: 5 of 111
  • Cancer Research 230
  • Molecular Biology 1.0k
  • Pharmacology 219
  • Immunology 263
  • Oncology 316
Replace Edward F. Webb with:
Edward F. Webb United States
Duncan H. Mak United States
Chun‐Yin Huang Taiwan
Allard Kaptein Netherlands
Carina L. Bos Netherlands
Caiping Chen China
Raffaella Dell’Eva Italy
Daisuke Kamei Japan
Niharika Nath United States
Chia‐Ron Yang relative to Edward F. Webb United States Edward F. Webb's profile →
Citations per field
00.5×10×20×28.3×
Edward F. Webb · 1×
Citations per year

Countries citing papers authored by Chia‐Ron Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Ron Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005218
2 200492
3 201382
4 201881
5 200577
6 200475
7 201872
8 201160
9 201857
10 201447
11 201443
12 201640
13 202140
14 200837
15 201335
16 201935
17 201632
18 200832
19 201430
20
Unsuspected Prostate Carcinoma and Prostatic Intraepithelial Neoplasm in Taiwanese Patients Undergoing Cystoprostatectomy.
199930

About Chia‐Ron Yang

Chia‐Ron Yang is a scholar working on Molecular Biology, Oncology, Immunology, Pharmacology and Cancer Research, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (17 papers), Protein Degradation and Inhibitors (6 papers), Peptidase Inhibition and Analysis (6 papers), Computational Drug Discovery Methods (5 papers), Alzheimer's disease research and treatments (4 papers), Cancer-related Molecular Pathways (4 papers), Immune Response and Inflammation (4 papers) and Biological and pharmacological studies of plants (4 papers). The work is most often cited by research in Cancer Research (230 citations), Molecular Biology (1.0k citations), Pharmacology (219 citations), Immunology (263 citations) and Oncology (316 citations). Chia‐Ron Yang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jing‐Ping Liou, Wan‐Wan Lin, Shie-Liang Hsieh, Che‐Ming Teng, Jyh‐Horng Wang, Feng‐Ming Ho, Hsueh‐Yun Lee, Chien Chao, Yiwen Wu and Shing‐Hwa Liu. Their work appears in journals such as Biomedicine & Pharmacotherapy, Oncotarget, European Journal of Medicinal Chemistry, Journal of Enzyme Inhibition and Medicinal Chemistry and The Journal of Immunology.

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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