Xiao‐Wei Yu

2.5k total citations
97 papers, 1.9k citations indexed

About

Xiao‐Wei Yu is a scholar working on Molecular Biology, Biotechnology and Biomedical Engineering. According to data from OpenAlex, Xiao‐Wei Yu has authored 97 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 21 papers in Biotechnology and 19 papers in Biomedical Engineering. Recurrent topics in Xiao‐Wei Yu's work include Enzyme Catalysis and Immobilization (38 papers), Microbial Metabolic Engineering and Bioproduction (27 papers) and Biofuel production and bioconversion (12 papers). Xiao‐Wei Yu is often cited by papers focused on Enzyme Catalysis and Immobilization (38 papers), Microbial Metabolic Engineering and Bioproduction (27 papers) and Biofuel production and bioconversion (12 papers). Xiao‐Wei Yu collaborates with scholars based in China, United States and Saint Kitts and Nevis. Xiao‐Wei Yu's co-authors include Yan Xu, Rong Xiao, Yong‐Quan Li, Chong Sha, Shuang Chen, Michael C. Qian, Yan Su, Meng Zhang, Dan Wu and Rui Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemistry.

In The Last Decade

Xiao‐Wei Yu

93 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao‐Wei Yu China 27 1.3k 402 394 366 164 97 1.9k
Joseph O. Rich United States 22 939 0.7× 502 1.2× 270 0.7× 236 0.6× 48 0.3× 63 1.4k
Adel Sayari Tunisia 22 858 0.7× 174 0.4× 157 0.4× 171 0.5× 212 1.3× 61 1.3k
Oreste V. Brenna Italy 25 345 0.3× 135 0.3× 145 0.4× 428 1.2× 74 0.5× 47 1.7k
Dongming Lan China 23 1.3k 1.1× 246 0.6× 158 0.4× 250 0.7× 161 1.0× 115 2.1k
Mianbin Wu China 24 946 0.8× 356 0.9× 120 0.3× 129 0.4× 40 0.2× 58 1.4k
Roberto Morellon‐Sterling Spain 19 1.4k 1.1× 298 0.7× 298 0.8× 150 0.4× 308 1.9× 29 1.6k
Francisco Batista‐Viera Uruguay 23 1.2k 0.9× 281 0.7× 471 1.2× 168 0.5× 278 1.7× 51 1.6k
Zhihua Lv China 18 382 0.3× 139 0.3× 108 0.3× 132 0.4× 50 0.3× 66 1.2k
Fabiano Jares Contesini Brazil 19 840 0.7× 232 0.6× 340 0.9× 107 0.3× 116 0.7× 40 1.1k
C. K. M. Tripathi India 18 642 0.5× 188 0.5× 298 0.8× 127 0.3× 18 0.1× 49 1.2k

Countries citing papers authored by Xiao‐Wei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Wei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao‐Wei Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Wei Yu. A scholar is included among the top collaborators of Xiao‐Wei 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 Xiao‐Wei Yu. Xiao‐Wei 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.
Chen, Jinghua, et al.. (2025). Enhanced activity and self-regeneration in dynameric cross-linked enzyme nanoaggregates. Science Advances. 11(11). eads9371–eads9371.
2.
Zhang, Hongxia, Hai Du, Yan Zhang, et al.. (2025). Metagenomic insights into viral dynamics and function in Baijiu. Current Research in Food Science. 11. 101189–101189.
3.
Hussain, Sarfraz, et al.. (2024). Sex, health status and habitat alter the community composition and assembly processes of symbiotic bacteria in captive frogs. BMC Microbiology. 24(1). 34–34. 4 indexed citations
4.
Zhang, Longyun, et al.. (2023). Selection of initial microbial community for the alcoholic fermentation of sesame flavor-type baijiu. Food Research International. 172. 113141–113141. 8 indexed citations
5.
Chen, Pengcheng, et al.. (2023). Purification and characterization of aspartic protease from Aspergillus niger and its efficient hydrolysis applications in soy protein degradation. Microbial Cell Factories. 22(1). 42–42. 16 indexed citations
6.
Yu, Xiao‐Wei, et al.. (2023). Fungal biogeographical patterns are key drivers shaping the regional flavor profiles of Chinese strong-flavor Baijiu. Food Bioscience. 55. 102951–102951. 11 indexed citations
7.
Du, Hai, Dong Zhao, Zongwei Qiao, et al.. (2023). Stochastic Processes Drive the Assembly and Metabolite Profiles of Keystone Taxa during Chinese Strong-Flavor Baijiu Fermentation. Microbiology Spectrum. 11(2). e0510322–e0510322. 22 indexed citations
8.
Su, Yan, Yan Xu, & Xiao‐Wei Yu. (2023). Role of cellulose response transporter-like protein CRT2 in cellulase induction in Trichoderma reesei. SHILAP Revista de lepidopterología. 16(1). 118–118. 6 indexed citations
9.
Tao, Xiumei, Pu Zheng, Pengcheng Chen, et al.. (2023). Thermostability modification of β-mannanase from Aspergillus niger via flexibility modification engineering. Frontiers in Microbiology. 14. 1119232–1119232. 8 indexed citations
10.
Su, Yan, Yan Xu, Xiumei Tao, & Xiao‐Wei Yu. (2023). Alleviating vacuolar transport improves cellulase production in Trichoderma reesei. Applied Microbiology and Biotechnology. 107(7-8). 2483–2499. 6 indexed citations
11.
Tong, Xunliang, Xiao‐Wei Yu, Yang Du, et al.. (2022). Peripheral Blood Microbiome Analysis via Noninvasive Prenatal Testing Reveals the Complexity of Circulating Microbial Cell-Free DNA. Microbiology Spectrum. 10(3). e0041422–e0041422. 11 indexed citations
12.
Xu, Yan, et al.. (2021). A phenylalanine dynamic switch controls the interfacial activation of Rhizopus chinensis lipase. International Journal of Biological Macromolecules. 173. 1–12. 34 indexed citations
13.
Xu, Yan, et al.. (2020). Improved Homologous Expression of the Acidic Lipase from Aspergillus niger. Journal of Microbiology and Biotechnology. 30(2). 196–205. 20 indexed citations
14.
Xu, Yan, et al.. (2019). Formation lipase cross-linked enzyme aggregates on octyl-modified mesocellular foams with oxidized sodium alginate. Colloids and Surfaces B Biointerfaces. 184. 110501–110501. 24 indexed citations
15.
Sun, Weihong, et al.. (2018). Genome-wide analysis of long non-coding RNAs in Pichia pastoris during stress by RNA sequencing. Genomics. 111(3). 398–406. 7 indexed citations
17.
Zhang, Meng, Xiao‐Wei Yu, G.V.T. Swapna, et al.. (2016). Efficient production of 2H, 13C, 15N-enriched industrial enzyme Rhizopus chinensis lipase with native disulfide bonds. Microbial Cell Factories. 15(1). 123–123. 9 indexed citations
18.
Yu, Xiao‐Wei, Shanshan Zhu, Rong Xiao, & Yan Xu. (2014). Conversion of a Rhizopus chinensis lipase into an esterase by lid swapping. Journal of Lipid Research. 55(6). 1044–1051. 36 indexed citations
19.
Yu, Xiao‐Wei & Yong‐Quan Li. (2008). Expression of Aspergillus oryzae tannase in Pichia pastoris and its application in the synthesis of propyl gallate in organic solvent.. Food Technology and Biotechnology. 46(1). 80–85. 22 indexed citations
20.
Yu, Xiao‐Wei & Yong‐Quan Li. (2005). Microencapsulated Mycelium-Bound Tannase From<I> Aspergillus niger</I>: An Efficient Catalyst for Esterification of Propyl Gallate in Organic Solvents. Applied Biochemistry and Biotechnology. 126(3). 177–188. 14 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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