Kuo Yang

1.2k citations
53 papers · 842 · 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 836 citations

Peers

Kuo Yang
Comparison fields: 5 of 85
  • Cancer Research 210
  • Molecular Biology 436
  • Pulmonary and Respiratory Medicine 183
  • Oncology 129
  • Immunology and Allergy 20
Replace Jun Cao with:
Jun Cao China
Monika Świerczewska Poland
Beatrice Faraglia Italy
Osamu Ogawa Japan
Yufei Jiao Japan
Jinghai Song China
Ping Tang China
Neyaz Alam India
William Tse United States
Kuo Yang relative to Jun Cao China Jun Cao's profile →
Citations per field
00.5×1.5×2.2×
Jun Cao · 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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201274
2 201450
3 201249
4 201637
5 201635
6 201634
7 201933
8 201632
9 202031
10 201330
11 201528
12 202027
13 202025
14 202123
15 201921
16 201621
17 201120
18 201420
19 201818
20 202218

About Kuo Yang

Kuo Yang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Cancer Research and Oncology, having authored 53 papers that have together received 842 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (11 papers), Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (5 papers), Cancer-related gene regulation (5 papers), Estrogen and related hormone effects (4 papers), Cell Adhesion Molecules Research (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and Genetic and Kidney Cyst Diseases (3 papers). The work is most often cited by research in Cancer Research (210 citations), Molecular Biology (436 citations), Pulmonary and Respiratory Medicine (183 citations), Oncology (129 citations) and Immunology and Allergy (20 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, The Prostate, Experimental Cell Research, Cell Communication and Signaling and Gene.

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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