Quan Yang

2.4k total citations · 1 hit paper
120 papers, 1.4k citations indexed

About

Quan Yang is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Quan Yang has authored 120 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 21 papers in Plant Science and 13 papers in Pharmacology. Recurrent topics in Quan Yang's work include Metallurgy and Material Forming (10 papers), Plant biochemistry and biosynthesis (8 papers) and Plant Gene Expression Analysis (7 papers). Quan Yang is often cited by papers focused on Metallurgy and Material Forming (10 papers), Plant biochemistry and biosynthesis (8 papers) and Plant Gene Expression Analysis (7 papers). Quan Yang collaborates with scholars based in China, United States and United Kingdom. Quan Yang's co-authors include Dan Chen, Yang Wang, Jinyao Zhao, Xian‐Wen Yang, Chun‐Lan Xie, Wenjing Zhang, Chang-Tao Wang, Hongyang Gao, Bing Wen and Jiaxiao Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Quan Yang

110 papers receiving 1.4k citations

Hit Papers

E3 ubiquitin ligases: styles, structures and functions 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. E3 ubiquitin ligases: styles, structures and functions
    2021 227 citations Quan Yang, Jinyao Zhao et al. Molecular Biomedicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quan Yang China 20 575 253 179 117 108 120 1.4k
Yanfei Peng China 25 625 1.1× 266 1.1× 117 0.7× 72 0.6× 103 1.0× 55 1.6k
Panpan Yang China 20 592 1.0× 103 0.4× 115 0.6× 98 0.8× 172 1.6× 129 1.4k
Lei Xiong China 30 1.1k 2.0× 401 1.6× 326 1.8× 39 0.3× 198 1.8× 133 2.3k
Zijing Liu China 22 465 0.8× 216 0.9× 191 1.1× 34 0.3× 152 1.4× 54 1.5k
Di Wang China 26 602 1.0× 246 1.0× 187 1.0× 54 0.5× 487 4.5× 97 1.9k
Wenbin Liu China 25 799 1.4× 205 0.8× 135 0.8× 28 0.2× 125 1.2× 117 1.7k
Lin Cheng China 27 1.3k 2.2× 735 2.9× 265 1.5× 77 0.7× 103 1.0× 152 2.6k
Yong‐Wan Kim South Korea 22 762 1.3× 136 0.5× 277 1.5× 29 0.2× 236 2.2× 120 1.9k
Jun Hong Park South Korea 24 787 1.4× 225 0.9× 103 0.6× 25 0.2× 116 1.1× 147 1.9k
Zhiquan Wang China 27 835 1.5× 106 0.4× 263 1.5× 36 0.3× 162 1.5× 111 2.1k

Countries citing papers authored by Quan Yang

Since Specialization
Citations

This map shows the geographic impact of Quan 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 Quan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quan Yang more than expected).

Fields of papers citing papers by Quan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quan 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 Quan Yang. The network helps show where Quan Yang may publish in the future.

Co-authorship network of co-authors of Quan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Yang. A scholar is included among the top collaborators of Quan Yang 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 Quan Yang. Quan Yang 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
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Li, Jingdong, Xiaochen Wang, Quan Yang, et al.. (2025). Interpretable machine learning-based rolling force prediction using multivariate industrial data during tandem cold rolling. Ironmaking & Steelmaking Processes Products and Applications. 1 indexed citations
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Fang, Liang, et al.. (2024). The impact of the COVID-19 pandemic on Staphylococcus aureus infections in pediatric patients admitted with community acquired pneumonia. Scientific Reports. 14(1). 15737–15737. 3 indexed citations
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Liu, Wei, Jiao Cai, Shuang Ma, et al.. (2023). Associations between residential greenness and asthma and allergic rhinitis in children: A systematic review and meta-analysis. Sustainable Cities and Society. 94. 104566–104566. 10 indexed citations
8.
Wu, Zedong, Xiaochen Wang, Quan Yang, et al.. (2023). Deformation resistance prediction of tandem cold rolling based on grey wolf optimization and support vector regression. Journal of Iron and Steel Research International. 30(9). 1803–1820. 10 indexed citations
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Zhao, Jianwei, et al.. (2023). A novel paradigm of flatness prediction and optimization for strip tandem cold rolling by cloud-edge collaboration. Journal of Materials Processing Technology. 316. 117947–117947. 27 indexed citations
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Wang, Xinzhuang, et al.. (2021). TMEM2 Combined with IDH and 1p19q in Refining Molecular Subtypes for Predicting Survival of Patients with Glioma. DNA and Cell Biology. 40(11). 1381–1395. 4 indexed citations
12.
Yang, Quan, Jinyao Zhao, Dan Chen, & Yang Wang. (2021). E3 ubiquitin ligases: styles, structures and functions. Molecular Biomedicine. 2(1). 23–23. 227 indexed citations breakdown →
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Gareev, Ilgiz, Guang Yang, Ozal Beylerli, et al.. (2019). Circulating MicroRNAs as Potential Noninvasive Biomarkers of Spontaneous Intracerebral Hemorrhage. World Neurosurgery. 133. e369–e375. 23 indexed citations
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Tang, Xiaomin, et al.. (2017). [Research on distribution and quality suitability division of Desmodium styracifolium].. PubMed. 42(4). 649–656. 1 indexed citations
16.
Xie, Chun‐Lan, et al.. (2017). An overview of chemical constituents from Alpinia species in the last six decades. RSC Advances. 7(23). 14114–14144. 43 indexed citations
17.
Liu, Liwei, et al.. (2016). Morphological Development of Sambong (Blumea balsamifera (L.) DC.) Leaf Studied by Frozen Section and Thin Section. Journal of Biosciences and Medicines. 4(4). 10–13. 2 indexed citations
18.
Yu, Tao, et al.. (2015). Non-coding RNAs deregulation in oral squamous cell carcinoma: advances and challenges. Clinical & Translational Oncology. 18(5). 427–436. 12 indexed citations
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Ye, Yin, et al.. (2014). GPUMemSort: A High Performance Graphics Co-processors Sorting Algorithm for Large Scale In-Memory Data. 9 indexed citations
20.
Yang, Quan, et al.. (2012). Advances in Design Technology. Applied Mechanics and Materials. 4 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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