Ligang Yu

1.1k total citations
33 papers, 858 citations indexed

About

Ligang Yu is a scholar working on Molecular Biology, Biomedical Engineering and Animal Science and Zoology. According to data from OpenAlex, Ligang Yu has authored 33 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Biomedical Engineering and 8 papers in Animal Science and Zoology. Recurrent topics in Ligang Yu's work include Advanced biosensing and bioanalysis techniques (8 papers), Meat and Animal Product Quality (8 papers) and Biochemical effects in animals (6 papers). Ligang Yu is often cited by papers focused on Advanced biosensing and bioanalysis techniques (8 papers), Meat and Animal Product Quality (8 papers) and Biochemical effects in animals (6 papers). Ligang Yu collaborates with scholars based in China and South Korea. Ligang Yu's co-authors include Yukun Yang, Caixia Guo, Xiaomin Wang, Maomao Zeng, Jie Chen, Baoqing Bai, Meiping Li, Zhiyong He, Wenyan Yan and Dandan Sun and has published in prestigious journals such as Food Chemistry, Analytica Chimica Acta and Biosensors and Bioelectronics.

In The Last Decade

Ligang Yu

33 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ligang Yu China 20 357 178 167 163 162 33 858
Yousheng Huang China 19 207 0.6× 94 0.5× 95 0.6× 38 0.2× 152 0.9× 32 982
Emmanuel Duhoranimana China 21 285 0.8× 137 0.8× 244 1.5× 66 0.4× 184 1.1× 29 1.2k
Hua Jin China 23 316 0.9× 130 0.7× 111 0.7× 148 0.9× 28 0.2× 51 1.2k
Caixia Guo China 19 259 0.7× 166 0.9× 43 0.3× 123 0.8× 23 0.1× 37 800
Zhigang Hao United States 15 270 0.8× 205 1.2× 33 0.2× 379 2.3× 46 0.3× 31 1.5k
Xuyan Dong China 17 317 0.9× 118 0.7× 75 0.4× 88 0.5× 42 0.3× 34 1.0k
Fenglin Gu China 16 362 1.0× 98 0.6× 132 0.8× 47 0.3× 207 1.3× 41 1.1k
Lipeng Han China 13 157 0.4× 98 0.6× 36 0.2× 108 0.7× 150 0.9× 26 623
Zhiyong He China 17 232 0.6× 75 0.4× 116 0.7× 128 0.8× 56 0.3× 54 965
Fei Lu China 19 217 0.6× 105 0.6× 195 1.2× 315 1.9× 16 0.1× 51 1.2k

Countries citing papers authored by Ligang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ligang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ligang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ligang Yu. A scholar is included among the top collaborators of Ligang Yu 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 Ligang Yu. Ligang Yu 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, Qing, Baoqing Bai, Bo Tao, et al.. (2025). N-doped HOFs nanoenzymes enable dual-mode colorimetric/electrochemical aptasensing of AFB1. LWT. 233. 118466–118466. 1 indexed citations
2.
Wang, Xiaomin, Xu Jing, Baoqing Bai, et al.. (2024). A HOF-101@AgNPs-based dual-signal mode aptasensor for electrochemiluminescence and fluorescence detection of E. coli O157:H7. Food Chemistry. 464(Pt 1). 141591–141591. 8 indexed citations
3.
Yu, Ligang, Xiaoyue Zhang, Caixia Guo, Meiping Li, & Maomao Zeng. (2024). Inhibitory effect of chlorogenic acid and vanillic acid on fluorescent advanced glycation end products formation in low-temperature-processed pork meat. Food Bioscience. 62. 105041–105041. 3 indexed citations
4.
5.
Yu, Ligang, Jing Wang, Yukun Yang, Caixia Guo, & Meiping Li. (2024). Influence of selected phenolic acids on advanced lipid oxidation end products generation in model systems. Food Bioscience. 62. 105135–105135. 2 indexed citations
6.
7.
Yang, Yukun, Xiaoyi Zhang, Xiaomin Wang, et al.. (2024). Self-powered molecularly imprinted photoelectrochemical sensor based on Ppy/QD/HOF heterojunction for the detection of bisphenol A. Food Chemistry. 443. 138499–138499. 31 indexed citations
8.
Yang, Yukun, Xiaomin Wang, Xu Jing, et al.. (2023). A universal design of turn-on fluorescent aptasensor based on luminescent MOFs: Application for the detection of bisphenol A in water, milk and chicken samples. Food Chemistry. 422. 136167–136167. 22 indexed citations
9.
10.
Yang, Yukun, Xiaomin Wang, Dandan Sun, et al.. (2022). MOF/COF heterostructure hybrid composite-based molecularly imprinted photoelectrochemical sensing platform for determination of dibutyl phthalate: A further expansion for MOF/COF application. Biosensors and Bioelectronics. 223. 115017–115017. 70 indexed citations
11.
Yu, Ligang, Yong Li, Chang Gao, et al.. (2022). Nε-carboxymethyl-lysine and Nε-carboxyethyl-lysine contents in commercial meat products. Food Research International. 155. 111048–111048. 22 indexed citations
12.
Yu, Ligang, Zhiyong He, Maomao Zeng, Yukun Yang, & Jie Chen. (2021). Effect of oxidation and hydrolysis of porcine myofibrillar protein on N ε ‐carboxymethyl‐lysine formation in model systems. International Journal of Food Science & Technology. 56(6). 3076–3084. 6 indexed citations
13.
Yang, Yukun, Zhuo Shi, Yuanyuan Chang, et al.. (2021). Surface molecularly imprinted magnetic MOFs: A novel platform coupled with magneto electrode for high throughput electrochemical sensing analysis of oxytetracycline in foods. Food Chemistry. 363. 130337–130337. 31 indexed citations
14.
Yang, Yukun, Wenyan Yan, Xiaomin Wang, et al.. (2021). Development of a molecularly imprinted photoelectrochemical sensing platform based on NH2-MIL-125(Ti)–TiO2 composite for the sensitive and selective determination of oxtetracycline. Biosensors and Bioelectronics. 177. 113000–113000. 58 indexed citations
15.
Yang, Yukun, Wenyan Yan, Caixia Guo, et al.. (2020). Magnetic molecularly imprinted electrochemical sensors: A review. Analytica Chimica Acta. 1106. 1–21. 86 indexed citations
16.
Yang, Yukun, Wenyan Yan, Yuanyuan Guo, et al.. (2020). Sensitive and selective electrochemical aptasensor via diazonium-coupling reaction for label-free determination of oxytetracycline in milk samples. Sensors and Actuators Reports. 2(1). 100009–100009. 34 indexed citations
17.
Yang, Yukun, Yuanyuan Chang, Yuanyuan Guo, et al.. (2019). Fluorometric microplate-based dimethoate assay using CdSe/ZnS quantum dots coated with a molecularly imprinted polymer. Microchimica Acta. 186(8). 589–589. 26 indexed citations
18.
19.
Yu, Ligang, Chang Gao, Maomao Zeng, et al.. (2016). Effects of raw meat and process procedure on Nε-carboxymethyllysine and Nε-carboxyethyl-lysine formation in meat products. Food Science and Biotechnology. 25(4). 1163–1168. 45 indexed citations
20.
Wang, Yingying, Yuanxue Gao, Wei Gao, et al.. (2015). Design, synthesis and biological evaluation of tricyclic diterpene derivatives as novel neuroprotective agents against ischemic brain injury. European Journal of Medicinal Chemistry. 103. 396–408. 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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