Kuo Yang

1.2k citations
52 papers · 825 · h-index 19

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Angiogenesis and VEGF in Cancer

Papers in

Kuo Yang

51 papers receiving 819 citations

Peers

Kuo Yang
Comparison fields: 5 of 89
  • Cancer Research 263
  • Molecular Biology 497
  • Pulmonary and Respiratory Medicine 219
  • Oncology 152
  • Immunology and Allergy 25
Replace Beatrice Faraglia with:
Beatrice Faraglia Italy
Bethany Smith United States
Xuenong Ouyang China
Yong Luo China
Radhika Nair Australia
Jinghan Zhu China
Marcin Braun Poland
Wan-Ju Kim United States
Fu-Ju Chou United States
Shuang Lin China
Kuo Yang relative to Beatrice Faraglia Italy Beatrice Faraglia's profile →
Citations per field
00.5×7.9×
Beatrice Faraglia · 1×
Citations per year

Countries citing papers authored by Kuo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kuo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201274
2 201450
3 201249
4 201636
5 201635
6 201634
7 201632
8 201931
9 201330
10 202030
11 202027
12 201527
13 202024
14 202122
15 201621
16 201120
17 201920
18 201420
19 202218
20 201818

About Kuo Yang

Kuo Yang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Cancer Research and Oncology, having authored 52 papers that have together received 825 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (15 papers), Epigenetics and DNA Methylation (8 papers), Cancer-related molecular mechanisms research (7 papers), Cancer-related gene regulation (6 papers), Estrogen and related hormone effects (5 papers), Genetic and Kidney Cyst Diseases (4 papers), Cell Adhesion Molecules Research (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (263 citations), Molecular Biology (497 citations), Pulmonary and Respiratory Medicine (219 citations), Oncology (152 citations) and Immunology and Allergy (25 citations). Kuo Yang has collaborated with scholars based in China, Canada and Austria. Frequent co-authors include Yong Xu, Zhihong Zhang, E Du, Dong Lin, Chao Meng, Shiyong Qi, Yue Chen, Yuzhuo Wang, Xiaoling Du and Xingkang Jiang. Their work appears in journals such as Oncotarget, Cell Communication and Signaling, Experimental Cell Research, Journal of Cellular Biochemistry and The Prostate.

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.

Explore authors with similar magnitude of impact