Yingliang Wu

5.3k total citations
136 papers, 4.1k citations indexed

About

Yingliang Wu is a scholar working on Molecular Biology, Genetics and Microbiology. According to data from OpenAlex, Yingliang Wu has authored 136 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 65 papers in Genetics and 45 papers in Microbiology. Recurrent topics in Yingliang Wu's work include Venomous Animal Envenomation and Studies (62 papers), Ion channel regulation and function (53 papers) and Antimicrobial Peptides and Activities (45 papers). Yingliang Wu is often cited by papers focused on Venomous Animal Envenomation and Studies (62 papers), Ion channel regulation and function (53 papers) and Antimicrobial Peptides and Activities (45 papers). Yingliang Wu collaborates with scholars based in China, France and Macao. Yingliang Wu's co-authors include Zhijian Cao, Wenxin Li, Ruiming Zhao, Zongyun Chen, Yibao Ma, Luyang Cao, Weishan Yang, Zhiyong Di, Wei Hong and Zhenhuan Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Yingliang Wu

135 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingliang Wu China 36 2.7k 1.7k 1.1k 482 478 136 4.1k
Zhijian Cao China 40 3.2k 1.2× 2.3k 1.3× 1.4k 1.2× 452 0.9× 227 0.5× 201 4.8k
Wenxin Li China 41 4.3k 1.6× 2.4k 1.4× 1.2k 1.0× 626 1.3× 229 0.5× 250 5.9k
Eduardo B. Oliveira Brazil 30 1.5k 0.6× 1.0k 0.6× 522 0.5× 282 0.6× 299 0.6× 80 2.7k
Jeak Ling Ding Singapore 46 2.7k 1.0× 642 0.4× 942 0.8× 2.5k 5.2× 384 0.8× 168 6.7k
Manfred Raida Germany 34 2.7k 1.0× 478 0.3× 590 0.5× 596 1.2× 185 0.4× 76 5.0k
Stuart J. Cordwell Australia 49 4.0k 1.5× 650 0.4× 631 0.6× 465 1.0× 127 0.3× 137 6.7k
John M. Tomich United States 44 3.6k 1.4× 489 0.3× 362 0.3× 289 0.6× 174 0.4× 151 5.5k
Vadim M. Govorun Russia 36 2.8k 1.0× 443 0.3× 797 0.7× 431 0.9× 88 0.2× 238 5.0k
Lee Whitmore United Kingdom 13 3.5k 1.3× 372 0.2× 447 0.4× 263 0.5× 77 0.2× 21 5.3k
Kristine M. Swiderek United States 31 3.2k 1.2× 371 0.2× 301 0.3× 966 2.0× 640 1.3× 44 5.8k

Countries citing papers authored by Yingliang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yingliang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingliang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingliang Wu. A scholar is included among the top collaborators of Yingliang 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 Yingliang Wu. Yingliang Wu 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.
Guo, Y. Q., Pei-Xin Yuan, Xin Huang, et al.. (2024). Similar neurotoxin expression profiles of traditional Chinese scorpion medicine material between juvenile and adult Mesobuthus martensii scorpions revealed by multiple strategic proteomics. Journal of Ethnopharmacology. 332. 118338–118338. 1 indexed citations
2.
3.
Wang, Luyao, et al.. (2023). The tick saliva peptide HIDfsin2 promotes the tick-borne virus SFTSV replication in vitro by enhancing p38 signal pathway. Archives of Toxicology. 97(6). 1783–1794. 7 indexed citations
4.
Jiang, Wenhui, et al.. (2023). A Pseudomonas Lysogenic Bacteriophage Crossing the Antarctic and Arctic, Representing a New Genus of Autographiviridae. International Journal of Molecular Sciences. 24(8). 7662–7662. 3 indexed citations
5.
Xu, Xiaobo, et al.. (2022). Proteomic Analysis of Exudates from Chronic Ulcer of Diabetic Foot Treated with Scorpion Antimicrobial Peptide. Mediators of Inflammation. 2022. 1–16. 5 indexed citations
6.
Tian, Quan, Pei‐Yu Wang, Chang Xie, et al.. (2022). Identification of an arthropod molecular target for plant-derived natural repellents. Proceedings of the National Academy of Sciences. 119(18). e2118152119–e2118152119. 9 indexed citations
7.
8.
Yang, Fan, Shuang Liu, Yaoyun Zhang, et al.. (2017). Expression of recombinant α-toxin BmKM9 from scorpion Buthus martensii Karsch and its functional characterization on sodium channels. Peptides. 99. 153–160. 17 indexed citations
9.
Xu, Jie, Qi Wang, Zebo Huang, et al.. (2017). Feeding recombinant E. coli with GST-mBmKTX fusion protein increases the fecundity and lifespan of Caenorhabditis elegans. Peptides. 89. 1–8. 6 indexed citations
10.
Chen, Yu, Jiali Tao, Yingming Sun, et al.. (2013). Structure-Function Analysis of Severe Acute Respiratory Syndrome Coronavirus RNA Cap Guanine-N7-Methyltransferase. Journal of Virology. 87(11). 6296–6305. 62 indexed citations
11.
Feng, Jing, Youtian Hu, Hong Yi, et al.. (2013). Two Conserved Arginine Residues from the SK3 Potassium Channel Outer Vestibule Control Selectivity of Recognition by Scorpion Toxins. Journal of Biological Chemistry. 288(18). 12544–12553. 26 indexed citations
12.
Yang, Weishan, Jing Feng, Bin Wang, et al.. (2013). BF9, the First Functionally Characterized Snake Toxin Peptide with Kunitz-Type Protease and Potassium Channel Inhibiting Properties. Journal of Biochemical and Molecular Toxicology. 28(2). 76–83. 36 indexed citations
13.
Cao, Luyang, Zhongjie Li, Ruhong Zhang, et al.. (2012). StCT2, a new antibacterial peptide characterized from the venom of the scorpion Scorpiops tibetanus. Peptides. 36(2). 213–220. 53 indexed citations
14.
Cao, Luyang, Dai Chao, Zhongjie Li, et al.. (2012). Antibacterial Activity and Mechanism of a Scorpion Venom Peptide Derivative In Vitro and In Vivo. PLoS ONE. 7(7). e40135–e40135. 104 indexed citations
15.
Ma, Yibao, Ya‐Wen He, Ruiming Zhao, et al.. (2011). Extreme diversity of scorpion venom peptides and proteins revealed by transcriptomic analysis: Implication for proteome evolution of scorpion venom arsenal. Journal of Proteomics. 75(5). 1563–1576. 87 indexed citations
16.
Yan, Ran, Zhenhuan Zhao, Yawen He, et al.. (2010). A new natural α-helical peptide from the venom of the scorpion Heterometrus petersii kills HCV. Peptides. 32(1). 11–19. 68 indexed citations
17.
Yu, Xue‐Feng, Zhengbo Sun, Min Li, et al.. (2010). Neurotoxin-conjugated upconversion nanoprobes for direct visualization of tumors under near-infrared irradiation. Biomaterials. 31(33). 8724–8731. 93 indexed citations
18.
Wu, Yingliang. (2007). Effects of gypenosides on cardiac function in diabetic cardiomyopathy rats. Shenyang Yaoke Daxue xuebao. 1 indexed citations
19.
Cao, Zhijian, et al.. (2006). Genetic mechanisms of scorpion venom peptide diversification. Toxicon. 47(3). 348–355. 68 indexed citations
20.
Trombitás, K, Yingliang Wu, Mark McNabb, et al.. (2003). Molecular Basis of Passive Stress Relaxation in Human Soleus Fibers: Assessment of the Role of Immunoglobulin-Like Domain Unfolding. Biophysical Journal. 85(5). 3142–3153. 42 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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