Chan Yu

939 total citations
40 papers, 715 citations indexed

About

Chan Yu is a scholar working on Pollution, Molecular Biology and Insect Science. According to data from OpenAlex, Chan Yu has authored 40 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pollution, 15 papers in Molecular Biology and 15 papers in Insect Science. Recurrent topics in Chan Yu's work include Insect Utilization and Effects (13 papers), Pharmaceutical and Antibiotic Environmental Impacts (11 papers) and Microbial bioremediation and biosurfactants (6 papers). Chan Yu is often cited by papers focused on Insect Utilization and Effects (13 papers), Pharmaceutical and Antibiotic Environmental Impacts (11 papers) and Microbial bioremediation and biosurfactants (6 papers). Chan Yu collaborates with scholars based in China, United States and Spain. Chan Yu's co-authors include Minmin Cai, Jun Yao, Jibin Zhang, Ziniu Yu, Jeffery K. Tomberlin, Longyu Zheng, Fei Wang, Kanaji Masakorala, Yi Li and Haiyan Yuan and has published in prestigious journals such as The Science of The Total Environment, Bioresource Technology and Food Chemistry.

In The Last Decade

Chan Yu

37 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chan Yu China 17 320 248 108 96 77 40 715
Dariusz Wiącek Poland 20 242 0.8× 157 0.6× 87 0.8× 81 0.8× 85 1.1× 60 1.1k
Chaorong Ge China 13 104 0.3× 194 0.8× 144 1.3× 47 0.5× 32 0.4× 25 600
D L Cruden United States 14 216 0.7× 219 0.9× 354 3.3× 27 0.3× 213 2.8× 20 822
D. P. Jaroli India 8 62 0.2× 143 0.6× 38 0.4× 95 1.0× 38 0.5× 12 481
Mansoreh Shayeghi Iran 16 130 0.4× 157 0.6× 49 0.5× 7 0.1× 38 0.5× 40 732
Arvinder Kaur India 17 65 0.2× 247 1.0× 89 0.8× 14 0.1× 7 0.1× 50 869
Uthpala A. Jayawardena Sri Lanka 14 44 0.1× 61 0.2× 47 0.4× 16 0.2× 19 0.2× 25 549
Hans Dobson United Kingdom 9 273 0.9× 146 0.6× 107 1.0× 4 0.0× 31 0.4× 27 808
Marios Kostakis Greece 12 38 0.1× 49 0.2× 75 0.7× 15 0.2× 14 0.2× 48 472
Makoto Yasojima Japan 12 124 0.4× 436 1.8× 33 0.3× 3 0.0× 57 0.7× 25 694

Countries citing papers authored by Chan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Chan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Chan Yu. A scholar is included among the top collaborators of Chan 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 Chan Yu. Chan 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.
Rehman, Kashif Ur, Joshua W. K. Ho, Yan Xue, et al.. (2025). Effects of chicken manure-derived black soldier fly organic fertilizer on soil carbon and nitrogen cycling: insights from metagenomic and microbial network analysis. Environmental Research. 286(Pt 2). 122775–122775.
2.
Li, Fang, Chen Wang, Ziniu Yu, et al.. (2025). Pathway of typical β-Lactam antibiotics degradation by black soldier fly and response characteristic of its intestinal microbes. Bioresource Technology. 419. 132067–132067. 3 indexed citations
3.
4.
Liu, Yunsheng, et al.. (2025). Mapping the evolution of kainate receptor research over five decades: trends, hotspots, and emerging frontiers. Naunyn-Schmiedeberg s Archives of Pharmacology. 399(2). 2401–2415. 2 indexed citations
5.
Yang, Huanhuan, Jianping Guo, Longyu Zheng, et al.. (2025). Mitigating the vertical migration and leaching risks of antibiotic resistance genes through insect fertilizer application. Environmental Research. 276. 121389–121389. 1 indexed citations
6.
Rehman, Kashif Ur, Zhuqing Ren, Núria Jiménez, et al.. (2025). Mitigating the transfer risk of antibiotic resistance genes from fertilized soil to cherry radish during the application of insect fertilizer. Environment International. 199. 109510–109510. 1 indexed citations
7.
Deng, Jie, et al.. (2024). Isolation of Sphingopyxis kveilinensis sp. nov., a Potential Antibiotic-Degrading Bacterium, from a Karst Wetland. Current Microbiology. 81(12). 414–414. 1 indexed citations
8.
9.
Wu, Yushi, Chen Sun, Núria Jiménez, et al.. (2024). Stimulating the biofilm formation of Bacillus populations to mitigate soil antibiotic resistome during insect fertilizer application. Environment International. 190. 108831–108831. 6 indexed citations
10.
Yu, Chan, Núria Jiménez, Chen Wang, et al.. (2023). Mitigation of antibiotic resistome in swine manure by black soldier fly larval conversion combined with composting. The Science of The Total Environment. 879. 163065–163065. 25 indexed citations
11.
Ye, Kaiyu, et al.. (2023). Extraction of Chitin from Black Soldier Fly (Hermetia illucens) and Its Puparium by Using Biological Treatment. Life. 13(7). 1424–1424. 24 indexed citations
12.
Li, Fang, Longyu Zheng, Jeffery K. Tomberlin, et al.. (2021). Characteristics and mechanisms of ciprofloxacin degradation by black soldier fly larvae combined with associated intestinal microorganisms. The Science of The Total Environment. 811. 151371–151371. 40 indexed citations
13.
Yu, Chan, et al.. (2020). An Insight into Diversity and Functionalities of Gut Microbiota in Insects. Current Microbiology. 77(9). 1976–1986. 64 indexed citations
14.
Yu, Chan, et al.. (2020). N-Terminal Fused Signal Peptide Prompted Extracellular Production of a Bacillus-Derived Alkaline and Thermo Stable Xylanase in E. coli Through Cell Autolysis. Applied Biochemistry and Biotechnology. 192(2). 339–352. 6 indexed citations
15.
Liu, Houquan, et al.. (2019). Efficient production of gluten hydrolase Kuma030 in E. coli by hot acid treatment without chromatography. Enzyme and Microbial Technology. 129. 109356–109356. 1 indexed citations
16.
Wang, Fei, Jun Yao, Huilun Chen, et al.. (2014). Evaluate the heavy metal toxicity to Pseudomonas fluorescens in a low levels of metal-chelates minimal medium. Environmental Science and Pollution Research. 21(15). 9278–9286. 6 indexed citations
17.
Yu, Chan, Jun Yao, Minmin Cai, et al.. (2014). Polycyclic Aromatic Hydrocarbons Degrading Microflora in a Tropical Oil-Production Well. Bulletin of Environmental Contamination and Toxicology. 93(5). 632–636. 12 indexed citations
18.
Yu, Chan, Jun Yao, Minmin Cai, et al.. (2013). Functional gene expression of oil-degrading bacteria resistant to hexadecane toxicity. Chemosphere. 93(7). 1424–1429. 10 indexed citations
19.
Wang, Fei, Jun Yao, Chan Yu, Huilun Chen, & Zhengji Yi. (2013). Investigating Pseudomonas putida–Candida humicola Interactions as Affected by Chelate Fe(III) in Soil. Bulletin of Environmental Contamination and Toxicology. 92(3). 358–363. 6 indexed citations
20.
Zhang, Qingye, Chan Yu, Jun Min, et al.. (2010). Rational questing for potential novel inhibitors of FabK from Streptococcus pneumoniae by combining FMO calculation, CoMFA 3D-QSAR modeling and virtual screening. Journal of Molecular Modeling. 17(6). 1483–1492. 16 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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