Wen‐Chao Yang

6.0k total citations
134 papers, 4.9k citations indexed

About

Wen‐Chao Yang is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Wen‐Chao Yang has authored 134 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 39 papers in Organic Chemistry and 29 papers in Pharmacology. Recurrent topics in Wen‐Chao Yang's work include Cholinesterase and Neurodegenerative Diseases (24 papers), Computational Drug Discovery Methods (21 papers) and Pesticide and Herbicide Environmental Studies (17 papers). Wen‐Chao Yang is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (24 papers), Computational Drug Discovery Methods (21 papers) and Pesticide and Herbicide Environmental Studies (17 papers). Wen‐Chao Yang collaborates with scholars based in China, United States and Montenegro. Wen‐Chao Yang's co-authors include Guang‐Fu Yang, Chang‐Guo Zhan, Hong‐Yan Lin, Xiao‐Lei Zhu, Behrooz Moosavi, Ge‐Fei Hao, Daquan Gao, Hoon Cho, Qi Sun and Shiyu Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Wen‐Chao Yang

128 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen‐Chao Yang China 41 1.8k 1.2k 890 809 792 134 4.9k
Peter Macheroux Austria 49 4.9k 2.7× 1.1k 0.9× 1.1k 1.2× 865 1.1× 681 0.9× 205 7.1k
Lei Feng China 44 3.0k 1.6× 648 0.5× 544 0.6× 1.1k 1.4× 766 1.0× 253 6.5k
Andrew W. Munro United Kingdom 56 5.6k 3.0× 717 0.6× 348 0.4× 573 0.7× 819 1.0× 219 9.3k
Toshio Fujita Japan 30 1.6k 0.9× 1.2k 1.0× 668 0.8× 360 0.4× 275 0.3× 167 4.7k
Marko D. Mihovilovič Austria 42 4.8k 2.6× 3.1k 2.5× 800 0.9× 512 0.6× 614 0.8× 256 9.1k
Yang Lü China 38 2.5k 1.3× 1.2k 0.9× 1.1k 1.2× 463 0.6× 710 0.9× 280 5.2k
Hiroyuki Koshino Japan 46 3.6k 2.0× 3.4k 2.7× 1.5k 1.6× 365 0.5× 2.1k 2.7× 351 8.5k
Chen Zhao China 33 984 0.5× 740 0.6× 274 0.3× 476 0.6× 150 0.2× 97 2.9k
José Neptuno Rodrı́guez-López Spain 45 2.3k 1.3× 506 0.4× 1.4k 1.6× 545 0.7× 340 0.4× 180 7.3k
Claus Jacob Germany 36 1.4k 0.8× 1.6k 1.3× 594 0.7× 517 0.6× 243 0.3× 163 4.8k

Countries citing papers authored by Wen‐Chao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Chao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen‐Chao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Chao Yang. A scholar is included among the top collaborators of Wen‐Chao 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 Wen‐Chao Yang. Wen‐Chao 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
2.
Gan, Xiuhai, et al.. (2025). Assessing emerging contaminants in soils using soil enzyme-based methods: A critical review. Trends in Environmental Analytical Chemistry. 46. e00260–e00260. 2 indexed citations
3.
Yang, Wen‐Chao, et al.. (2025). Can the integration of culture and tourism promote rural revitalization? Research on the mechanism and policies of green finance. Finance research letters. 84. 107787–107787. 2 indexed citations
4.
Yang, Wen‐Chao, et al.. (2025). Plant osmosensors in next-generation smart agriculture: From innovation to application. Industrial Crops and Products. 234. 121607–121607.
5.
Wang, Zihan, et al.. (2025). Recent application of CRISPR/Cas in plant disease detection. TrAC Trends in Analytical Chemistry. 189. 118251–118251. 3 indexed citations
6.
Huang, Fengyu, Wen‐Chao Yang, Li Ma, et al.. (2025). Micro(nano)plastic detection in soils: analytical techniques, AI applications, and future challenges. TrAC Trends in Analytical Chemistry. 194. 118491–118491.
7.
Aslam, Mehtab Muhammad, et al.. (2025). Deciphering the complex roles of leucine-rich repeat receptor kinases (LRR-RKs) in plant signal transduction. Plant Science. 356. 112494–112494.
8.
Lin, Hong‐Yan, Jin Dong, Jiangqing Dong, Wen‐Chao Yang, & Guang‐Fu Yang. (2023). Insights into 4-hydroxyphenylpyruvate dioxygenase-inhibitor interactions from comparative structural biology. Trends in Biochemical Sciences. 48(6). 568–584. 27 indexed citations
9.
Ding, Wenping, Huayu Li, Miao Li, et al.. (2023). Biocatalytic Fluoroalkylation Using Fluorinated S-Adenosyl-l-methionine Cofactors. Organic Letters. 25(30). 5650–5655. 14 indexed citations
10.
Li, Jianhong, Wei‐Cheng Yang, Ting‐Bin Wen, et al.. (2023). Nonmetal-doped quantum dot-based fluorescence sensing facilitates the monitoring of environmental contaminants. Trends in Environmental Analytical Chemistry. 40. e00218–e00218. 14 indexed citations
11.
Liu, Shiyu, Jin Dong, Hong‐Yan Lin, et al.. (2022). In vivo diagnostics of abiotic plant stress responses via in situ real-time fluorescence imaging. PLANT PHYSIOLOGY. 190(1). 196–201. 19 indexed citations
12.
Wu, Wei, Wen‐Chao Yang, Qiong Chen, et al.. (2022). Pharmacophore-Oriented Discovery of Novel 1,2,3-Benzotriazine-4-one Derivatives as Potent 4-Hydroxyphenylpyruvate Dioxygenase Inhibitors. Journal of Agricultural and Food Chemistry. 70(22). 6644–6657. 28 indexed citations
13.
Qu, Ren‐Yu, et al.. (2021). Structure-Guided Discovery of Silicon-Containing Subnanomolar Inhibitor of Hydroxyphenylpyruvate Dioxygenase as a Potential Herbicide. Journal of Agricultural and Food Chemistry. 69(1). 459–473. 40 indexed citations
14.
Qu, Ren‐Yu, Jing‐Fang Yang, Hong‐Yan Lin, et al.. (2021). Where are the new herbicides?. Pest Management Science. 77(6). 2620–2625. 112 indexed citations
15.
Yang, Jing‐Fang, Hong‐Yan Lin, Qiong Chen, et al.. (2021). Synthesis and Herbicidal Activity of Triketone-Aminopyridines as Potent p-Hydroxyphenylpyruvate Dioxygenase Inhibitors. Journal of Agricultural and Food Chemistry. 69(20). 5734–5745. 33 indexed citations
16.
Qu, Ren‐Yu, Jing‐Fang Yang, Qiong Chen, et al.. (2020). Fragment‐based discovery of flexible inhibitor targeting wild‐type acetohydroxyacid synthase and P197L mutant. Pest Management Science. 76(10). 3403–3412. 19 indexed citations
17.
Yan, Wei, et al.. (2018). Over-expression of Smad4 could prevent migration and invasion in colon cancer SW480 and SW620 cells and mechanism. Zhonghua shiyan waike zazhi. 35(2). 238–241. 1 indexed citations
18.
Wang, Dawei, Hong‐Yan Lin, Sheng‐Gang Yang, et al.. (2015). Synthesis and Bioactivity Studies of Triketone-Containing Quinazoline-2,4-dione Derivatives. Acta Chimica Sinica. 73(1). 29–29. 11 indexed citations
19.
Lin, Hong‐Yan, et al.. (2014). Pyrazolone–quinazolone hybrids: A novel class of human 4-hydroxyphenylpyruvate dioxygenase inhibitors. Bioorganic & Medicinal Chemistry. 22(19). 5194–5211. 32 indexed citations
20.
Yang, Wen‐Chao, Hui Li, Fu Wang, Xiao‐Lei Zhu, & Guang‐Fu Yang. (2012). Rieske Iron–Sulfur Protein of the Cytochrome bc1 Complex: A Potential Target for Fungicide Discovery. ChemBioChem. 13(11). 1542–1551. 17 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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