Kuo Yang

2.3k citations
95 papers · 1.6k indexed · 1 hit paper · h-index 20

Impact in

Papers in

Kuo Yang

85 papers receiving 1.5k citations

Hit Papers

SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping 2018 · 380 citations
3802018202620202023100200300

Peers

Kuo Yang
Comparison fields: 5 of 131
  • Complementary and alternative medicine 314
  • Pharmacology 170
  • Computational Theory and Mathematics 222
  • Molecular Biology 866
  • Cancer Research 135
Replace Kailin Yang with:
Kailin Yang China
Leihong Wu United States
Yühong Huang China
Zijing Liu China
Peng Lu China
Jae Yong Ryu South Korea
Cheng‐Wei Yang Taiwan
Muhammad Majid Pakistan
Zhixing Cao China
Qiang Tang China
Kuo Yang relative to Kailin Yang China Kailin Yang's profile →
Citations per field
00.5×3.1×
Kailin Yang · 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-authorship network

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
#Work
1 20250
2 20246
3 20241
4 20241
5 20240
6 20246
7 20236
8 20235
9 20227
10 20222
11 20225
12 202137
13 20217
14 202171
15 20202
16 202013
17 20191
18 201711
19 201724
20 201331

About Kuo Yang

Kuo Yang is a scholar working on Complementary and alternative medicine, Computational Theory and Mathematics, Molecular Biology, Cancer Research and Pharmacology, having authored 95 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (23 papers), Computational Drug Discovery Methods (17 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Biomedical Text Mining and Ontologies (10 papers), Plant Molecular Biology Research (10 papers), Machine Learning in Bioinformatics (9 papers), Traditional Chinese Medicine Studies (8 papers) and Plant Stress Responses and Tolerance (7 papers). The work is most often cited by research in Complementary and alternative medicine (314 citations), Pharmacology (170 citations), Computational Theory and Mathematics (222 citations), Molecular Biology (866 citations) and Cancer Research (135 citations). Kuo Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xuezhong Zhou, Jianxin Chen, Chun‐Xiang You, Yi Zhao, Feilong Zhang, Shuangsang Fang, Kuo Gao, Hui Li, Dechao Bu and Liang Sun. Their work appears in journals such as Briefings in Bioinformatics, Pharmacological Research, Frontiers in Pharmacology, Horticulturae and Scientific Reports.

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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