Hui Yao

11.8k total citations · 3 hit papers
166 papers, 7.6k citations indexed

About

Hui Yao is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Hui Yao has authored 166 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Molecular Biology, 34 papers in Plant Science and 16 papers in Pharmacology. Recurrent topics in Hui Yao's work include Genomics and Phylogenetic Studies (34 papers), Identification and Quantification in Food (23 papers) and Plant and Fungal Species Descriptions (19 papers). Hui Yao is often cited by papers focused on Genomics and Phylogenetic Studies (34 papers), Identification and Quantification in Food (23 papers) and Plant and Fungal Species Descriptions (19 papers). Hui Yao collaborates with scholars based in China, United States and United Kingdom. Hui Yao's co-authors include Shilin Chen, Jingyuan Song, Xiaohui Pang, Jianping Han, Yingjie Zhu, Ying Li, Chang Liu, Jingyuan Song, Kun Luo and Linchun Shi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Hui Yao

160 papers receiving 7.3k citations

Hit Papers

Validation of the ITS2 Region as a Novel DNA Barcode for ... 2010 2026 2015 2020 2010 2010 2023 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hui Yao China 44 4.9k 1.9k 1.1k 996 721 166 7.6k
Chang Liu China 35 5.6k 1.1× 1.9k 1.0× 1.5k 1.3× 1.1k 1.1× 489 0.7× 180 7.9k
Jingyuan Song China 48 5.7k 1.2× 2.7k 1.4× 910 0.8× 826 0.8× 958 1.3× 169 7.9k
Yingjie Zhu China 27 3.9k 0.8× 1.6k 0.8× 1.1k 1.0× 945 0.9× 539 0.7× 77 5.5k
Kun Luo China 33 2.9k 0.6× 1.0k 0.5× 631 0.6× 1.0k 1.0× 271 0.4× 245 7.3k
Dale R. Gardner United States 42 4.2k 0.9× 1.9k 1.0× 2.7k 2.4× 496 0.5× 193 0.3× 335 8.3k
Helen Cook Denmark 11 6.1k 1.2× 1.5k 0.8× 289 0.3× 985 1.0× 156 0.2× 14 10.9k
Yang Zhong China 35 3.0k 0.6× 1.9k 1.0× 1.2k 1.0× 1.3k 1.3× 162 0.2× 248 5.7k
Gi‐Ho Sung South Korea 34 2.1k 0.4× 3.6k 1.9× 1.0k 0.9× 541 0.5× 247 0.3× 157 6.7k
Xing Zhang China 39 3.6k 0.7× 2.5k 1.3× 230 0.2× 382 0.4× 216 0.3× 285 6.6k

Countries citing papers authored by Hui Yao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Hui Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Yao. A scholar is included among the top collaborators of Hui Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hui Yao. Hui Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Peng, Zhenxing Liu, Kaikai Mao, et al.. (2025). Functional loss of CHS2 confers high‐level resistance to Bacillus thuringiensis Vip3Aa in Spodoptera exigua and Agrotis ipsilon . Pest Management Science. 82(1). 714–720.
3.
Wang, Tian, Min Zou, Chaoqun Hu, et al.. (2025). Prediction of vedolizumab efficacy in ulcerative colitis: a nomogram incorporating pathological feature and serological marker. Clinical and Experimental Medicine. 25(1). 69–69. 1 indexed citations
4.
Sun, Jian, et al.. (2023). Analysis of genetic and chemical variability of five Curcuma species based on DNA barcoding and HPLC fingerprints. Frontiers in Plant Science. 14. 1229041–1229041. 5 indexed citations
5.
Lin, Hong, Hui Yao, Yuting Zhu, et al.. (2023). Autoimmune Disease-Related Hub Genes are Potential Biomarkers and Associated with Immune Microenvironment in Endometriosis. International Journal of General Medicine. Volume 16. 2897–2921. 4 indexed citations
6.
Wu, Liwei, Jianguo Zhou, Yonghua Li‐Beisson, et al.. (2023). Gene Losses and Homology of the Chloroplast Genomes of Taxillus and Phacellaria Species. Genes. 14(4). 943–943. 6 indexed citations
7.
McGuire, Michael H., Santosh K. Dasari, Hui Yao, et al.. (2021). Gene Body Methylation of the Lymphocyte-Specific Gene CARD11 Results in Its Overexpression and Regulates Cancer mTOR Signaling. Molecular Cancer Research. 19(11). 1917–1928. 6 indexed citations
8.
Chen, Xinlian, Yingxian Cui, Liping Nie, et al.. (2019). Identification and Phylogenetic Analysis of the Complete Chloroplast Genomes of Three Ephedra Herbs Containing Ephedrine. BioMed Research International. 2019. 1–10. 19 indexed citations
9.
Nie, Liping, Yingxian Cui, Liwei Wu, et al.. (2019). Gene Losses and Variations in Chloroplast Genome of Parasitic Plant Macrosolen and Phylogenetic Relationships within Santalales. International Journal of Molecular Sciences. 20(22). 5812–5812. 16 indexed citations
10.
Galloway-Peña, Jessica, Sruti DebRoy, Xiqi Li, et al.. (2018). Hypervirulent group A Streptococcus emergence in an acaspular background is associated with marked remodeling of the bacterial cell surface. PLoS ONE. 13(12). e0207897–e0207897. 10 indexed citations
11.
Horstmann, Nicola, Chau Nguyen Tran, Sruti DebRoy, et al.. (2018). Phosphatase activity of the control of virulence sensor kinase CovS is critical for the pathogenesis of group A streptococcus. PLoS Pathogens. 14(10). e1007354–e1007354. 30 indexed citations
13.
Han, Jianping, Xiaohui Pang, Baosheng Liao, et al.. (2016). An authenticity survey of herbal medicines from markets in China using DNA barcoding. Scientific Reports. 6(1). 18723–18723. 127 indexed citations
14.
Xin, Tianyi, Xiaojin Li, Hui Yao, et al.. (2015). Survey of commercial Rhodiola products revealed species diversity and potential safety issues. Scientific Reports. 5(1). 8337–8337. 84 indexed citations
15.
Malouf, Gabriel G., Xiaoping Su, Hui Yao, et al.. (2014). Next-Generation Sequencing of Translocation Renal Cell Carcinoma Reveals Novel RNA Splicing Partners and Frequent Mutations of Chromatin-Remodeling Genes. Clinical Cancer Research. 20(15). 4129–4140. 97 indexed citations
16.
Malouf, Gabriel G., Federico A. Monzon, Jérôme Couturier, et al.. (2013). Genomic Heterogeneity of Translocation Renal Cell Carcinoma. Clinical Cancer Research. 19(17). 4673–4684. 61 indexed citations
17.
Yao, Hui. (2012). Identification of nine common medicinal plants from Artemisia L. by DNA barcoding sequences. Zhongcaoyao. 5 indexed citations
18.
Yao, Hui. (2011). Influence of Buyang Huanwu Decoction on the Ultrastructure of Spinal Cord Tissue in Rats with Spinal Cord Injury. Traditional Chinese Drug Research and Clinical Pharmacology. 1 indexed citations
19.
Yao, Hui, Jingyuan Song, Chang Liu, et al.. (2010). Use of ITS2 Region as the Universal DNA Barcode for Plants and Animals. PLoS ONE. 5(10). e13102–e13102. 691 indexed citations breakdown →
20.
Yao, Hui. (2005). The "China Mode" Reform Process of Market Economic System and the Development Level of Market Economy. 1 indexed citations

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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