Zhaode Mu

1.3k total citations · 1 hit paper
40 papers, 1.1k citations indexed

About

Zhaode Mu is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Zhaode Mu has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 12 papers in Biomedical Engineering and 11 papers in Materials Chemistry. Recurrent topics in Zhaode Mu's work include Advanced biosensing and bioanalysis techniques (29 papers), Biosensors and Analytical Detection (10 papers) and Electrochemical sensors and biosensors (8 papers). Zhaode Mu is often cited by papers focused on Advanced biosensing and bioanalysis techniques (29 papers), Biosensors and Analytical Detection (10 papers) and Electrochemical sensors and biosensors (8 papers). Zhaode Mu collaborates with scholars based in China, India and South Korea. Zhaode Mu's co-authors include Lijuan Bai, Jing Zhou, Min Zhao, Yongjie Chen, Min Qing, Yonghua Yuan, Luyao Ma, Jie Wang, Jie Wang and Lei Guo and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of The Electrochemical Society.

In The Last Decade

Zhaode Mu

37 papers receiving 1.0k citations

Hit Papers

Voltammetric aptasensor for sulfadimethoxine using a nano... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhaode Mu China 15 584 423 351 344 161 40 1.1k
Honghong Rao China 20 524 0.9× 652 1.5× 395 1.1× 394 1.1× 120 0.7× 65 1.2k
Han Tao China 23 699 1.2× 616 1.5× 345 1.0× 465 1.4× 175 1.1× 60 1.3k
Xionghui Ma China 21 512 0.9× 479 1.1× 314 0.9× 377 1.1× 193 1.2× 48 1.1k
Dahe Fan China 18 445 0.8× 349 0.8× 254 0.7× 345 1.0× 205 1.3× 31 932
Behnaz Hatamluyi Iran 20 539 0.9× 327 0.8× 309 0.9× 471 1.4× 243 1.5× 33 1.0k
Chaohai Pang China 15 357 0.6× 385 0.9× 186 0.5× 236 0.7× 126 0.8× 37 769
Shuxia Xu China 23 440 0.8× 316 0.7× 347 1.0× 315 0.9× 205 1.3× 58 1000
Peini Zhao China 19 552 0.9× 305 0.7× 479 1.4× 260 0.8× 110 0.7× 41 992
Mansour Mahmoudpour Iran 19 621 1.1× 298 0.7× 544 1.5× 291 0.8× 109 0.7× 32 1.2k
Jianfeng Wu China 18 283 0.5× 261 0.6× 194 0.6× 299 0.9× 173 1.1× 62 901

Countries citing papers authored by Zhaode Mu

Since Specialization
Citations

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

Fields of papers citing papers by Zhaode Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaode Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaode Mu. A scholar is included among the top collaborators of Zhaode Mu 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 Zhaode Mu. Zhaode Mu 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.
Li, Qin, et al.. (2025). In Situ Self‐Assembly of Artificial Topological Nanostructures Enhances In Vivo Efficacy of PCSK9 Inhibitory Peptides. Angewandte Chemie International Edition. 64(17). e202502559–e202502559. 2 indexed citations
2.
Mu, Zhaode, et al.. (2025). A MOF-on-MOF heterostructure-based electrochemical aptasensor for ultrasensitive detection of tobramycin in food. Journal of environmental chemical engineering. 13(5). 118021–118021. 1 indexed citations
3.
Pan, Yue, et al.. (2025). Enzyme activity-enhanced MIL101(Fe) loaded PdSn Nanoenzymes enable ultrasensitive detection of oxytetracycline in foods. Food Chemistry. 495(Pt 3). 146496–146496. 1 indexed citations
4.
Hu, Xuemei, Zhaode Mu, Yueyuan Li, Lijuan Bai, & Min Qing. (2025). Metal–organic frameworks-scaffold gold nanoclusters enabled aggregation-induced enhanced fluorescent sensor array for high-throughput detection of heavy metal ions. Microchemical Journal. 210. 113020–113020. 3 indexed citations
7.
Chen, Yujie, et al.. (2024). A novel aptasensor integrating the DNA rolling nanomachine and Tb/COF/KB as dual signal amplifiers for kanamycin detection in foods. Food Chemistry. 464(Pt 3). 141853–141853. 3 indexed citations
8.
Liu, Junjie, Zhaode Mu, Jing Zhou, Min Qing, & Lijuan Bai. (2023). Aggregation-induced enhancement of pyrene-based metal-organic framework as a new electrochemiluminescence emitter for ultrasensitive detection of sulfadimethoxine. Food Chemistry. 432. 137270–137270. 12 indexed citations
9.
Mu, Zhaode, et al.. (2023). Fe-Doped NiMoO4 Nanoparticles as New Non-Enzymatic Catalyst in Glucose Sensing. Journal of The Electrochemical Society. 170(9). 96508–96508. 1 indexed citations
10.
Li, Yueyuan, et al.. (2023). An enzymatic activity regulation-based clusterzyme sensor array for high-throughput identification of heavy metal ions. Journal of Hazardous Materials. 454. 131501–131501. 30 indexed citations
11.
Mu, Zhaode, et al.. (2021). An electrochemical aptasensor for Mycobacterium tuberculosis ESAT-6 antigen detection using bimetallic organic framework. Microchimica Acta. 188(11). 404–404. 14 indexed citations
13.
Mu, Zhaode, Luyao Ma, Jie Wang, et al.. (2020). A target-induced amperometic aptasensor for sensitive zearalenone detection by CS@AB-MWCNTs nanocomposite as enhancers. Food Chemistry. 340. 128128–128128. 38 indexed citations
14.
Ma, Luyao, Lijuan Bai, Min Zhao, et al.. (2019). An electrochemical aptasensor for highly sensitive detection of zearalenone based on PEI-MoS2-MWCNTs nanocomposite for signal enhancement. Analytica Chimica Acta. 1060. 71–78. 85 indexed citations
16.
Mu, Zhaode, et al.. (2018). Voltammetric aptasensor for sulfadimethoxine using a nanohybrid composed of multifunctional fullerene, reduced graphene oxide and Pt@Au nanoparticles, and based on direct electron transfer to the active site of glucose oxidase. Microchimica Acta. 186(1). 1–1. 513 indexed citations breakdown →
17.
Xi, Cunxian, et al.. (2018). Simultaneous Determination of 20 Antibiotics in Bovine Colostrum Tablet Using UHPLC–MS/MS and SPE. Chromatographia. 81(6). 947–957. 4 indexed citations
18.
He, Xiaoqin, Cunxian Xi, Bobin Tang, et al.. (2015). Determination of the potential illegal addition of β-blockers to function foods by QuEChERS sample preparation and UPLC-MS/MS analysis. Food Additives & Contaminants Part A. 32(7). 1040–1048. 2 indexed citations
19.
Wang, Ya, Xiang Lu, Cunxian Xi, et al.. (2014). Determination of biurea in flour and its products by liquid chromatography-tandem mass spectrometry. Chinese Journal of Chromatography. 32(5). 513–513. 2 indexed citations
20.
He, Xiaoqin, Cunxian Xi, Bobin Tang, et al.. (2014). Simultaneous determination of 30 hormones illegally added to anti-ageing functional foods using UPLC-MS/MS coupled with SPE clean-up. Food Additives & Contaminants Part A. 31(10). 1625–1638. 6 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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