Kuo Yang
Impact in
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- Traditional Chinese Medicine Studies
- Traditional Chinese Medicine Analysis
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
Papers in
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- Computational Drug Discovery Methods 18
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- Traditional Chinese Medicine Studies 8
- Co-authors
- Xuezhong Zhou (41 shared papers)Jianxin Chen (4 shared papers)Chun-Xiang You (9 shared papers)Yi Chen Zhao (2 shared papers)Hui Li (1 shared paper)Yang Wu (1 shared paper)Shuangsang Fang (1 shared paper)Dechao Bu (1 shared paper)
- Journals
- Briefings in Bioinformatics (5 papers)Pharmacological Research (3 papers)Frontiers in Pharmacology (3 papers)Journal of Zhejiang University SCIENCE B (2 papers)BioMed Research International (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kuo Yang
90 papers receiving 1.8k citations
Kuo Yang's Hit Papers
Peers
Comparison fields: 5 of 135
- Complementary and alternative medicine 311
- Pharmacology 138
- Computational Theory and Mathematics 224
- Molecular Biology 807
- Plant Science 318
Countries citing papers authored by Kuo Yang
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
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.
All Works
Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping Hit paper breakdown → | 2018 | 425 |
| 2 | 2021 | 82 | |
| 3 | 2018 | 72 | |
| 4 | 2021 | 70 | |
| 5 | 2021 | 61 | |
| 6 | 2022 | 56 | |
| 7 | 2022 | 51 | |
| 8 | 2020 | 51 | |
| 9 | 2016 | 50 | |
| 10 | 2021 | 43 | |
| 11 | 2019 | 40 | |
| 12 | 2021 | 40 | |
| 13 | 2022 | 39 | |
| 14 | 2013 | 34 | |
| 15 | 2022 | 32 | |
| 16 | 2024 | 31 | |
| 17 | 2022 | 28 | |
| 18 | 2020 | 26 | |
| 19 | 2018 | 25 | |
| 20 | 2017 | 24 |
About Kuo Yang
Kuo Yang is a scholar working on Computational Theory and Mathematics, Complementary and alternative medicine, Molecular Biology, Plant Science and Automotive Engineering, having authored 99 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (19 papers), Computational Drug Discovery Methods (18 papers), Plant Molecular Biology Research (10 papers), Biomedical Text Mining and Ontologies (9 papers), Machine Learning in Bioinformatics (9 papers), Traditional Chinese Medicine Studies (8 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Plant Stress Responses and Tolerance (7 papers). The work is most often cited by research in Complementary and alternative medicine (311 citations), Pharmacology (138 citations), Computational Theory and Mathematics (224 citations), Molecular Biology (807 citations) and Plant Science (318 citations). Kuo Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xuezhong Zhou, Jianxin Chen, Chun-Xiang You, Yi Chen Zhao, Hui Li, Yang Wu, Shuangsang Fang, Dechao Bu, Feilong Zhang and Wei Wang. Their work appears in journals such as Briefings in Bioinformatics, Pharmacological Research, Frontiers in Pharmacology, Journal of Zhejiang University SCIENCE B and BioMed Research International.
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.