Dayu Yang

508 total citations
14 papers, 377 citations indexed

About

Dayu Yang is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Dayu Yang has authored 14 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Pharmacology. Recurrent topics in Dayu Yang's work include Pharmacological Effects of Natural Compounds (3 papers), Plant-based Medicinal Research (3 papers) and Traditional Chinese Medicine Analysis (2 papers). Dayu Yang is often cited by papers focused on Pharmacological Effects of Natural Compounds (3 papers), Plant-based Medicinal Research (3 papers) and Traditional Chinese Medicine Analysis (2 papers). Dayu Yang collaborates with scholars based in China and United States. Dayu Yang's co-authors include Shuang Sun, Yuyan Guo, Shaowa Lü, Xin Yu, Guoyu Li, Yan Liu, Shuang Shao, Lise Bankir, Baoxue Yang and Dan Zhao and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Molecules and Journal of Ethnopharmacology.

In The Last Decade

Dayu Yang

13 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dayu Yang China 7 153 99 89 62 50 14 377
Sun-Dong Zhang China 9 208 1.4× 106 1.1× 92 1.0× 56 0.9× 44 0.9× 10 444
Lihong Tan China 13 213 1.4× 126 1.3× 59 0.7× 79 1.3× 31 0.6× 38 464
Job Tchoumtchoua Greece 13 191 1.2× 116 1.2× 76 0.9× 53 0.9× 34 0.7× 28 401
Xiujun Lin China 13 133 0.9× 72 0.7× 60 0.7× 120 1.9× 36 0.7× 27 425
Nan Zeng China 10 144 0.9× 79 0.8× 59 0.7× 80 1.3× 42 0.8× 22 368
Johura Ansary Italy 11 116 0.8× 138 1.4× 96 1.1× 91 1.5× 39 0.8× 20 482
Kwang Jin Lee South Korea 11 140 0.9× 100 1.0× 88 1.0× 86 1.4× 47 0.9× 19 415
Young Yoon South Korea 8 125 0.8× 66 0.7× 139 1.6× 56 0.9× 35 0.7× 12 383
Guijae Yoo South Korea 12 196 1.3× 81 0.8× 61 0.7× 74 1.2× 52 1.0× 59 398

Countries citing papers authored by Dayu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dayu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dayu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Dayu Yang. A scholar is included among the top collaborators of Dayu 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 Dayu Yang. Dayu Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
2.
Zhang, Zhen, et al.. (2024). Screening 60Co-γ Irradiated Camellia oleifera Lines for Anthracnose-Resistant. Horticulturae. 10(9). 940–940.
3.
Sun, Shuang, et al.. (2024). Qualitative analysis of licorice and strychnine decoction before and after combination using UPLC‐QE‐Orbitrap‐MS. Phytochemical Analysis. 35(6). 1323–1344. 1 indexed citations
5.
Yang, Dayu, et al.. (2024). Comparative Transcriptomic and Lipidomic Analysis of Fatty Acid Accumulation in Three Camellia oleifera Varieties During Seed Maturing. Journal of Agricultural and Food Chemistry. 72(32). 18257–18270. 6 indexed citations
6.
Sun, Shuang, Hong‐Li Guo, Yalun Li, et al.. (2024). Lipidomics study of Liujunzi decoction in hyperlipidemia rats with spleen deficiency based on UPLC-Q-TOF/MS. Heliyon. 10(11). e31710–e31710. 3 indexed citations
9.
Guo, Yuyan, et al.. (2022). Anthocyanin: a review of plant sources, extraction, stability, content determination and modifications. International Journal of Food Science & Technology. 57(12). 7573–7591. 29 indexed citations
10.
Guo, Yuyan, et al.. (2021). A novel polymer micelle as a targeted drug delivery system for 10-hydroxycamptothecin with high drug-loading properties and anti-tumor efficacy. Biophysical Chemistry. 279. 106679–106679. 16 indexed citations
11.
Sun, Shuang, Yalun Li, Qian Wu, et al.. (2021). Tumor-targeted hyaluronic acid-mPEG modified nanostructured lipid carriers for cantharidin delivery: An in vivo and in vitro study. Fitoterapia. 155. 105033–105033. 17 indexed citations
12.
Yu, Xin, Shuang Sun, Yuyan Guo, et al.. (2018). Citri Reticulatae Pericarpium (Chenpi): Botany, ethnopharmacology, phytochemistry, and pharmacology of a frequently used traditional Chinese medicine. Journal of Ethnopharmacology. 220. 265–282. 247 indexed citations
13.
Zhang, Chunjing, Nannan Huang, Dayu Yang, Ya-Guang Chen, & Haijun Pang. (2014). Stepwise synthesis of two inorganic–organic hybrids based on the manganese monosubstituted Keggin polyanion chains. Solid State Sciences. 35. 33–38. 1 indexed citations
14.
Zhao, Dan, et al.. (2006). Urea and urine concentrating ability in mice lacking AQP1 and AQP3. American Journal of Physiology-Renal Physiology. 291(2). F429–F438. 27 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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