Yuangen Wu

3.5k total citations
86 papers, 2.9k citations indexed

About

Yuangen Wu is a scholar working on Molecular Biology, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Yuangen Wu has authored 86 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 49 papers in Materials Chemistry and 31 papers in Electrical and Electronic Engineering. Recurrent topics in Yuangen Wu's work include Advanced biosensing and bioanalysis techniques (63 papers), Advanced Nanomaterials in Catalysis (44 papers) and Electrochemical sensors and biosensors (31 papers). Yuangen Wu is often cited by papers focused on Advanced biosensing and bioanalysis techniques (63 papers), Advanced Nanomaterials in Catalysis (44 papers) and Electrochemical sensors and biosensors (31 papers). Yuangen Wu collaborates with scholars based in China, Fiji and Ireland. Yuangen Wu's co-authors include Pei Zhou, Shenshan Zhan, Yue Tang, Han Tao, Lan He, Faze Wang, Chunxiao Wang, Yang Hu, Xuejia Zhan and Wenting Zhi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Yuangen Wu

84 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuangen Wu China 31 2.2k 1.2k 1.1k 724 478 86 2.9k
Li Hou China 29 1.6k 0.8× 1.1k 0.9× 1.0k 0.9× 719 1.0× 282 0.6× 72 2.7k
Shenshan Zhan China 29 1.5k 0.7× 802 0.6× 1.3k 1.1× 341 0.5× 422 0.9× 47 2.7k
Su Liu China 32 2.0k 0.9× 591 0.5× 1.3k 1.2× 1.1k 1.5× 660 1.4× 118 3.5k
Maojun Jin China 31 990 0.5× 636 0.5× 764 0.7× 461 0.6× 205 0.4× 114 2.7k
Mingfei Pan China 32 1.1k 0.5× 947 0.8× 927 0.8× 609 0.8× 357 0.7× 83 2.8k
Jialei Bai China 30 1.2k 0.6× 547 0.4× 1.0k 0.9× 389 0.5× 172 0.4× 85 2.4k
Ding Jiang China 34 2.0k 0.9× 1.5k 1.2× 1.0k 0.9× 1.3k 1.8× 653 1.4× 125 3.4k
Youxiu Lin China 22 1.8k 0.8× 1.0k 0.8× 1.1k 1.0× 628 0.9× 277 0.6× 35 2.5k
Wittaya Ngeontae Thailand 29 552 0.3× 850 0.7× 377 0.3× 587 0.8× 480 1.0× 77 2.2k
Qinzhi Wang China 32 820 0.4× 1.2k 0.9× 735 0.7× 642 0.9× 270 0.6× 50 2.3k

Countries citing papers authored by Yuangen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yuangen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuangen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuangen Wu. A scholar is included among the top collaborators of Yuangen 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 Yuangen Wu. Yuangen 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
2.
Jiang, Wen, Jia Zheng, Jian Su, et al.. (2025). Bimetallic Ag2CrO4 nanoparticles with dual-enzyme-mimic activities in colorimetric sensor for sensitive and highly selective detection of dimethoate in vegetables. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 332. 125841–125841. 5 indexed citations
6.
Tang, Yue, et al.. (2024). Facile colorimetric sensor using oxidase-like activity of octahedral Ag2O particles for highly selective detection of Pb(II) in water. The Science of The Total Environment. 915. 170025–170025. 18 indexed citations
7.
Huang, Xiaohuan, et al.. (2024). Facile fluorescent sensor for rapid and selective detection of phytic acid in food based on phosphatase-like activity of Zr(IV)-Glu complex. Microchemical Journal. 200. 110379–110379. 2 indexed citations
9.
Yang, Hongli, et al.. (2024). Design an aptamer-recognized visual nanozyme sheet for rapid detection of ethyl carbamate in liquor. Journal of Food Composition and Analysis. 128. 106077–106077. 7 indexed citations
11.
Wang, Junjun, et al.. (2023). DNAzyme-based and smartphone-assisted colorimetric biosensor for ultrasensitive and highly selective detection of histamine in meats. Food Chemistry. 435. 137526–137526. 30 indexed citations
15.
Zhou, Jianli, Peng Xu, Chunxiao Wang, et al.. (2023). Airborne microorganisms and key environmental factors shaping their community patterns in the core production area of the Maotai-flavor Baijiu. The Science of The Total Environment. 912. 169010–169010. 25 indexed citations
18.
Tang, Yue, et al.. (2021). Selection and identification of a DNA aptamer for ultrasensitive and selective detection of λ-cyhalothrin residue in food. Analytica Chimica Acta. 1179. 338837–338837. 36 indexed citations
19.
Tang, Yue, Xiaohuan Huang, Xueli Wang, et al.. (2021). G-quadruplex DNAzyme as peroxidase mimetic in a colorimetric biosensor for ultrasensitive and selective detection of trace tetracyclines in foods. Food Chemistry. 366. 130560–130560. 87 indexed citations
20.
Chen, Huayun, et al.. (2019). Oligonucleotides and pesticide regulated peroxidase catalytic activity of hemin for colorimetric detection of isocarbophos in vegetables by naked eyes. Analytical and Bioanalytical Chemistry. 411(29). 7857–7868. 24 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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