Yingliang Wu

1.6k total citations
46 papers, 1.3k citations indexed

About

Yingliang Wu is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yingliang Wu has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 24 papers in Genetics and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yingliang Wu's work include Ion channel regulation and function (29 papers), Venomous Animal Envenomation and Studies (23 papers) and Nicotinic Acetylcholine Receptors Study (18 papers). Yingliang Wu is often cited by papers focused on Ion channel regulation and function (29 papers), Venomous Animal Envenomation and Studies (23 papers) and Nicotinic Acetylcholine Receptors Study (18 papers). Yingliang Wu collaborates with scholars based in China, United States and France. Yingliang Wu's co-authors include Zhijian Cao, Wenxin Li, Hong Yi, Shijin Yin, Zongyun Chen, Dai Chao, Song Han, Yibao Ma, Yawen He and Dahe Jiang and has published in prestigious journals such as Journal of Biological Chemistry, Immunity and PLoS ONE.

In The Last Decade

Yingliang Wu

44 papers receiving 1.3k 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 22 972 454 188 160 153 46 1.3k
Qiumin Lu China 24 871 0.9× 807 1.8× 314 1.7× 38 0.2× 237 1.5× 81 1.7k
Harvey R. Kaslow United States 26 1.0k 1.0× 295 0.6× 392 2.1× 51 0.3× 79 0.5× 50 1.9k
Ross Cocklin United States 14 800 0.8× 88 0.2× 222 1.2× 84 0.5× 86 0.6× 20 1.4k
Rachel B. Kent United States 12 928 1.0× 102 0.2× 135 0.7× 97 0.6× 54 0.4× 17 1.3k
Julie A. Gegner United States 10 1.1k 1.1× 313 0.7× 568 3.0× 28 0.2× 140 0.9× 11 1.8k
Paul S. Eder United States 16 1.3k 1.3× 143 0.3× 105 0.6× 76 0.5× 59 0.4× 23 2.2k
Rajesh Ramachandran United States 25 2.2k 2.3× 109 0.2× 217 1.2× 54 0.3× 42 0.3× 48 2.7k
Ivaylo P. Ivanov United States 20 1.8k 1.8× 216 0.5× 96 0.5× 95 0.6× 24 0.2× 43 2.1k
Ronald W. Raab United States 16 605 0.6× 146 0.3× 43 0.2× 52 0.3× 58 0.4× 28 1.1k
Eric Meldrum United Kingdom 13 851 0.9× 160 0.4× 172 0.9× 60 0.4× 16 0.1× 22 1.5k

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.
2.
Liu, Yuqing, Xinrong Wang, Wen‐Jin Wu, et al.. (2024). Differential fluorescence features and recovery speeds of different scorpion exoskeleton parts during the molting process. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 316. 124309–124309. 2 indexed citations
3.
Yang, Xu-Hua, Gang Deng, Xin Huang, et al.. (2023). Functional Characterization of a New Degradation Peptide BmTX4-P1 from Traditional Chinese Scorpion Medicinal Material. Toxins. 15(5). 340–340. 5 indexed citations
4.
Hu, Jing, Luyao Wang, Haifeng Yang, et al.. (2022). Key domains and residues of the receptor MRGPRX1 recognizing the peptide ligand BAM8-22. Peptides. 161. 170927–170927. 2 indexed citations
5.
6.
Li, Fangfang, Qiang Liu, Zhiqiang Xia, et al.. (2020). The Kv1.3 ion channel acts as a host factor restricting viral entry. The FASEB Journal. 35(2). e20995–e20995. 3 indexed citations
7.
Zeng, Zhengyang, Shisong Han, Wei Hong, et al.. (2016). A Tat-conjugated Peptide Nucleic Acid Tat-PNA-DR Inhibits Hepatitis B Virus Replication In Vitro and In Vivo by Targeting LTR Direct Repeats of HBV RNA. Molecular Therapy — Nucleic Acids. 5. e295–e295. 37 indexed citations
8.
Wang, Wei, Jinyang Cai, Yingliang Wu, et al.. (2013). Novel activity of KRAB domain that functions to reinforce nuclear localization of KRAB-containing zinc finger proteins by interacting with KAP1. Cellular and Molecular Life Sciences. 70(20). 3947–3958. 15 indexed citations
9.
Hong, Wei, Runhong Zhang, Zhiyong Di, et al.. (2013). Design of histidine-rich peptides with enhanced bioavailability and inhibitory activity against hepatitis C virus. Biomaterials. 34(13). 3511–3522. 40 indexed citations
10.
Chen, Zongyun, Youtian Hu, Song Han, et al.. (2011). ImKTx1, a new Kv1.3 channel blocker with a unique primary structure. Journal of Biochemical and Molecular Toxicology. 25(4). 244–251. 25 indexed citations
11.
Wu, Ying, Hong Yi, Hui Li, et al.. (2009). Intersubunit Coupling in the Pore of BK Channels. Journal of Biological Chemistry. 284(35). 23353–23363. 22 indexed citations
12.
Ma, Yibao, Ruiming Zhao, Yawen He, et al.. (2009). Transcriptome analysis of the venom gland of the scorpion Scorpiops jendeki: implication for the evolution of the scorpion venom arsenal. BMC Genomics. 10(1). 290–290. 76 indexed citations
13.
Sun, Zhengbo, Dahe Jiang, Dai Chao, et al.. (2009). BmKCT toxin inhibits glioma proliferation and tumor metastasis. Cancer Letters. 291(2). 158–166. 55 indexed citations
14.
Liu, Jun, Yibao Ma, Shijin Yin, et al.. (2008). Molecular cloning and functional identification of a new K+ channel blocker, LmKTx10, from the scorpion Lychas mucronatus. Peptides. 30(4). 675–680. 14 indexed citations
15.
Gan, Geliang, Hong Yi, Maorong Chen, et al.. (2008). Structural Basis for Toxin Resistance of β4-Associated Calcium-activated Potassium (BK) Channels. Journal of Biological Chemistry. 283(35). 24177–24184. 39 indexed citations
16.
Guo, Zhaohua, Hong Yi, Yingliang Wu, et al.. (2008). A Residue at the Cytoplasmic Entrance of BK-Type Channels Regulating Single-Channel Opening by its Hydrophobicity. Biophysical Journal. 94(9). 3714–3725. 8 indexed citations
17.
Mao, Xin, Zhijian Cao, Shijin Yin, et al.. (2007). Cloning and characterization of BmK86, a novel K+-channel blocker from scorpion venom. Biochemical and Biophysical Research Communications. 360(4). 728–734. 21 indexed citations
18.
Cao, Zhijian, et al.. (2006). Splicing of scorpion toxin gene BmKK2 in HEK 293T cells. Journal of Biochemical and Molecular Toxicology. 20(1). 1–6. 6 indexed citations
19.
Mouhat, Stéphanie, Violeta Visan, Heike Wulff, et al.. (2005). Pharmacological Profiling of Orthochirus scrobiculosus Toxin 1 Analogs with a Trimmed N-Terminal Domain. Molecular Pharmacology. 69(1). 354–362. 35 indexed citations
20.
Cao, Zhijian, Xin Mao, Dai Chao, et al.. (2005). Adaptive Evolution after Gene Duplication in α-KT × 14 Subfamily from Buthus martensii Karsch. IUBMB Life. 57(7). 513–521. 7 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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