Yaosong Wu

447 total citations
11 papers, 332 citations indexed

About

Yaosong Wu is a scholar working on Molecular Biology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yaosong Wu has authored 11 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yaosong Wu's work include Immune cells in cancer (2 papers), Plant Molecular Biology Research (2 papers) and interferon and immune responses (1 paper). Yaosong Wu is often cited by papers focused on Immune cells in cancer (2 papers), Plant Molecular Biology Research (2 papers) and interferon and immune responses (1 paper). Yaosong Wu collaborates with scholars based in China, Canada and Nepal. Yaosong Wu's co-authors include Yulong Chen, Guoqing Hou, Xuan Cao, Peng Zhao, Yanqin Qin, Xuefang Liu, Haoran Dong, Jiansheng Li, Suxiang Feng and Xi Zhang and has published in prestigious journals such as The FASEB Journal, Cell Death and Disease and Genomics.

In The Last Decade

Yaosong Wu

11 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaosong Wu China 7 166 94 36 35 33 11 332
Zhi-Jian Sun China 12 135 0.8× 64 0.7× 26 0.7× 28 0.8× 37 1.1× 21 387
Shuna Cui China 11 210 1.3× 72 0.8× 45 1.3× 38 1.1× 39 1.2× 25 420
Jyoti Yadav India 10 121 0.7× 52 0.6× 43 1.2× 24 0.7× 29 0.9× 34 376
Carlos Alberto Bueno Argentina 13 171 1.0× 103 1.1× 67 1.9× 26 0.7× 30 0.9× 21 374
Yuanhang Ma China 9 257 1.5× 110 1.2× 16 0.4× 57 1.6× 29 0.9× 14 502
Shaokui Chen China 14 210 1.3× 125 1.3× 25 0.7× 33 0.9× 14 0.4× 23 488
Vívian Louise Soares de Oliveira Brazil 11 163 1.0× 118 1.3× 29 0.8× 13 0.4× 20 0.6× 22 362
Sunita Keshari Taiwan 12 127 0.8× 58 0.6× 22 0.6× 19 0.5× 20 0.6× 18 407
Jong Hwan Park South Korea 11 301 1.8× 61 0.6× 26 0.7× 28 0.8× 17 0.5× 21 488

Countries citing papers authored by Yaosong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yaosong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaosong Wu

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

All Works

11 of 11 papers shown
2.
Liu, Jun, Xinyu Wang, Yulong Chen, et al.. (2021). Identification, evolution and expression analysis of WRKY gene family in Eucommia ulmoides. Genomics. 113(5). 3294–3309. 32 indexed citations
3.
Liu, Jun, Yaosong Wu, Yan Liu, et al.. (2020). Advances on the Structural Characteristics and Function of Dof Gene in Plant. 36(10). 180. 1 indexed citations
4.
Zhang, Xi, Guoqing Hou, Andong Liu, et al.. (2019). Matrine inhibits the development and progression of ovarian cancer by repressing cancer associated phosphorylation signaling pathways. Cell Death and Disease. 10(10). 770–770. 49 indexed citations
5.
Deng, Jie, Andong Liu, Guoqing Hou, et al.. (2019). N-acetylcysteine decreases malignant characteristics of glioblastoma cells by inhibiting Notch2 signaling. Journal of Experimental & Clinical Cancer Research. 38(1). 2–2. 48 indexed citations
6.
Li, Wenjiao, Ning Li, Guoqing Hou, et al.. (2019). Zika virus circumvents host innate immunity by targeting the adaptor proteins MAVS and MITA. The FASEB Journal. 33(9). 9929–9944. 41 indexed citations
7.
Chen, Yulong, Yaosong Wu, Suxiang Feng, et al.. (2019). Three Tiaobu Feishen therapies protect human alveolar epithelial cells against cigarette smoking and tumor necrosis factor--induced inflammation by nuclear factor-kappa B pathway.. PubMed. 39(1). 45–49. 4 indexed citations
8.
Liu, Xuefang, Yulong Chen, Yaosong Wu, et al.. (2018). LPS‑induced proinflammatory cytokine expression in human airway epithelial cells and macrophages via NF‑κB, STAT3 or AP‑1 activation. Molecular Medicine Reports. 17(4). 5484–5491. 139 indexed citations
9.
Zhou, Ling, et al.. (2015). [Effect of Qige Powder on Angiogenesis Induced by Esophageal Cancer Cell Line Eca-9706].. PubMed. 38(1). 123–6. 2 indexed citations
10.
Liu, Hui, Liping Yang, Yingchun Zhao, et al.. (2014). Estrogen is a novel regulator of Tnfaip1 in mouse hippocampus. International Journal of Molecular Medicine. 34(1). 219–227. 8 indexed citations
11.
Wu, Yaosong, et al.. (2013). [Effect of invigorating lung and kidney prescription and its components on secretion of cytokines induced by CSE and LPS].. PubMed. 36(6). 961–6. 2 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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