Xiaoping Yu

5.1k total citations
274 papers, 3.7k citations indexed

About

Xiaoping Yu is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Xiaoping Yu has authored 274 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Molecular Biology, 87 papers in Plant Science and 74 papers in Insect Science. Recurrent topics in Xiaoping Yu's work include Insect-Plant Interactions and Control (34 papers), Microbial Natural Products and Biosynthesis (33 papers) and Biosensors and Analytical Detection (32 papers). Xiaoping Yu is often cited by papers focused on Insect-Plant Interactions and Control (34 papers), Microbial Natural Products and Biosynthesis (33 papers) and Biosensors and Analytical Detection (32 papers). Xiaoping Yu collaborates with scholars based in China, Germany and United States. Xiaoping Yu's co-authors include Zihong Ye, Zheng Ma, Mingzhou Zhang, Lu Xu, Haifeng Cui, Si-Min Yan, Zhongxian Lü, Zheng‐Liang Wang, Xuping Shentu and Biao Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Xiaoping Yu

258 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoping Yu China 32 1.6k 1.1k 881 825 395 274 3.7k
Ross C. Beier United States 40 1.9k 1.2× 1.3k 1.2× 553 0.6× 702 0.9× 387 1.0× 199 5.1k
Isabel Mafra Portugal 39 2.3k 1.4× 681 0.6× 540 0.6× 548 0.7× 81 0.2× 133 4.2k
Erwin Märtlbauer Germany 39 3.0k 1.8× 1.2k 1.2× 299 0.3× 639 0.8× 277 0.7× 171 5.1k
Richard Dietrich Germany 36 2.2k 1.3× 947 0.9× 219 0.2× 586 0.7× 205 0.5× 121 3.8k
Gao‐Xue Wang China 46 1.9k 1.1× 806 0.8× 282 0.3× 295 0.4× 230 0.6× 291 7.2k
Philippe Delahaut Belgium 40 1.4k 0.9× 184 0.2× 266 0.3× 556 0.7× 573 1.5× 175 5.0k
J. Christopher Hall Canada 36 2.0k 1.2× 2.3k 2.1× 229 0.3× 301 0.4× 63 0.2× 156 4.5k
Gail M. Preston United Kingdom 43 1.4k 0.9× 3.2k 3.0× 197 0.2× 221 0.3× 337 0.9× 110 4.8k
Philippe Jacques Belgium 46 3.2k 2.0× 3.5k 3.2× 390 0.4× 490 0.6× 818 2.1× 173 7.5k
Shohei Sakuda Japan 38 2.7k 1.7× 1.5k 1.4× 295 0.3× 282 0.3× 1.0k 2.6× 183 4.8k

Countries citing papers authored by Xiaoping Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Yu. A scholar is included among the top collaborators of Xiaoping 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 Xiaoping Yu. Xiaoping 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.
Wang, Wen, et al.. (2025). Chlorine tolerance in foodborne pathogens: definitions, identification methods, and mechanisms. Current Opinion in Food Science. 62. 101271–101271. 2 indexed citations
2.
Huang, Haizhi, et al.. (2025). Bi-model detection of sulfonamide antibiotics using a microfluidic chip-lateral flow immunoassay based on liposome-modified PCN-222. Biosensors and Bioelectronics. 279. 117393–117393. 10 indexed citations
3.
Xu, Yiwen, et al.. (2024). CRISPR-Cas12a-based nanoparticle biosensor for detection of pathogenic bacteria in food. Microchemical Journal. 207. 111813–111813. 4 indexed citations
4.
Huang, Xinyi, et al.. (2023). Isolation and identification of protease-producing Bacillus amyloliquefaciens LX-6 and its application in the solid fermentation of soybean meal. Frontiers in Bioengineering and Biotechnology. 11. 1226988–1226988. 7 indexed citations
5.
Li, Huijie, et al.. (2023). Identification of RimR2 as a positive pathway-specific regulator of rimocidin biosynthesis in Streptomyces rimosus M527. Microbial Cell Factories. 22(1). 32–32. 8 indexed citations
6.
Liu, Jianying, Qian Zhao, Ningyu Zhu, et al.. (2023). Amplification-free CRISPR-Cas13a assay for detection of Taura syndrome virus. Aquaculture Reports. 30. 101552–101552. 7 indexed citations
7.
8.
Sun, Kai, Yan Liu, Biao Ma, et al.. (2023). Prokaryotic Argonaute Proteins: A New Frontier in Point-of-Care Viral Diagnostics. International Journal of Molecular Sciences. 24(19). 14987–14987. 7 indexed citations
9.
Wang, Feng, Jianying Liu, Yuanyuan Li, et al.. (2022). A loop‐mediated isothermal amplification‐based microfluidic chip for triplex detection of shrimp pathogens. Journal of Fish Diseases. 46(2). 137–146. 12 indexed citations
10.
Zou, Rubing, Tianyi Zhang, Ying Liu, et al.. (2019). Up-Converting Nanoparticle-Based Immunochromatographic Strip for Multi-Residue Detection of Three Organophosphorus Pesticides in Food. Frontiers in Chemistry. 7. 18–18. 54 indexed citations
11.
Zhang, Yafen, et al.. (2019). Cloning and disruption of the UeArginase in Ustilago esculenta: evidence for a role of arginine in its dimorphic transition. BMC Microbiology. 19(1). 208–208. 9 indexed citations
12.
Xu, Xianhao, Juan Wang, Andreas Bechthold, Zheng Ma, & Xiaoping Yu. (2017). Selection of an efficient promoter and its application in toyocamycin production improvement in Streptomyces diastatochromogenes 1628. World Journal of Microbiology and Biotechnology. 33(2). 30–30. 18 indexed citations
13.
Yu, Jiajia, et al.. (2015). An efficient genetic manipulation protocol for Ustilago esculenta. FEMS Microbiology Letters. 362(12). fnv087–fnv087. 23 indexed citations
14.
Jia, Yuanyuan, Rongfa Guan, Yi-Hang Wu, et al.. (2014). Taraxacum mongolicum extract exhibits a protective effect on hepatocytes and an antiviral effect against hepatitis B virus in animal and human cells. Molecular Medicine Reports. 9(4). 1381–1387. 27 indexed citations
15.
Xu, Lu, et al.. (2013). Rapid Analysis of Geographical Origins and Age ofTorreya grandisSeeds by NIR Spectroscopy and Pattern Recognition Methods. SHILAP Revista de lepidopterología. 2013. 1–9. 3 indexed citations
16.
Yu, Xiaoping. (2012). Biocontrol effect and taxonomy of antagonistic Streptomyces strain B28. Acta Phytopathologica Sinica. 9 indexed citations
17.
Yu, Xiaoping. (2011). Antifungal Activity of Toyocamycin on Rhizoctonia solani Kühn. Journal of Biological Control. 7 indexed citations
18.
Yu, Xiaoping. (2010). Effects of Temperature Stress on Development and Survival Rate of the Apple Snail,Pomacea canaliculata(Lamarck) from Different Geographical Populations in China. Hubei nongye kexue. 4 indexed citations
19.
Zhang, Mingzhou, et al.. (2009). Development of a colloidal gold-based lateral-flow immunoassay for the rapid simultaneous detection of clenbuterol and ractopamine in swine urine. Analytical and Bioanalytical Chemistry. 395(8). 2591–2599. 116 indexed citations
20.
Chen, Jianming, et al.. (2009). The isolation of yeast-like-symbiots in the brown planthopper and the sequences analysis of its 26S rDNA.. Zhongguo nongye Kexue. 42(6). 2211–2216. 4 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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