Hui Yao
Impact in
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- Traditional Chinese Medicine Analysis
- Molecular Biology top 1%
- Genomics and Phylogenetic Studies
- Identification and Quantification in Food
- Plant and Fungal Species Descriptions
Papers in
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- Traditional Chinese Medicine Analysis 13
- Pharmacology 16
- Pharmacological Effects of Natural Compounds 8
Hui Yao
160 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Complementary and alternative medicine 721
- Molecular Biology 4.9k
- Ecology, Evolution, Behavior and Systematics 1.1k
- Pharmacology 502
- Plant Science 1.9k
Countries citing papers authored by Hui Yao
This map shows the geographic impact of Hui Yao'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 Hui Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Yao more than expected).
Fields of papers citing papers by Hui Yao
This network shows the impact of papers produced by Hui Yao. 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 Hui Yao. The network helps show where Hui Yao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hui Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 6 | |
| 7 | 2021 | 6 | |
| 8 | 2019 | 19 | |
| 9 | 2019 | 16 | |
| 10 | 2018 | 10 | |
| 11 | 2018 | 30 | |
| 12 | 2017 | 0 | |
| 13 | 2016 | 127 | |
| 14 | 2015 | 84 | |
| 15 | 2014 | 97 | |
| 16 | 2013 | 61 | |
| 17 | Identification of nine common medicinal plants from Artemisia L. by DNA barcoding sequences | 2012 | 5 |
| 18 | Influence of Buyang Huanwu Decoction on the Ultrastructure of Spinal Cord Tissue in Rats with Spinal Cord Injury | 2011 | 1 |
| 19 | Use of ITS2 Region as the Universal DNA Barcode for Plants and Animals Hit paper breakdown → | 2010 | 691 |
| 20 | The "China Mode" Reform Process of Market Economic System and the Development Level of Market Economy | 2005 | 1 |
About Hui Yao
Hui Yao is a scholar working on Complementary and alternative medicine, Pharmacology, Molecular Biology, Pharmacology and Plant Science, having authored 166 papers that have together received 7.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (34 papers), Identification and Quantification in Food (23 papers), Plant and Fungal Species Descriptions (19 papers), Traditional Chinese Medicine Analysis (13 papers), Natural product bioactivities and synthesis (12 papers), Genetic diversity and population structure (12 papers), Phytochemistry and Biological Activities (9 papers) and Pharmacological Effects of Natural Compounds (8 papers). The work is most often cited by research in Complementary and alternative medicine (721 citations), Molecular Biology (4.9k citations), Ecology, Evolution, Behavior and Systematics (1.1k citations), Pharmacology (502 citations) and Plant Science (1.9k citations). Hui Yao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shilin Chen, Jingyuan Song, Xiaohui Pang, Jianping Han, Yingjie Zhu, Ying Li, Chang Liu, Jingyuan Song, Kun Luo and Linchun Shi. Their work appears in journals such as Scientific Reports, Planta Medica, Frontiers in Pharmacology, PLoS ONE and Chinese Journal of Natural Medicines.
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.