Xiaoyu Chu

1.4k citations
51 papers · 1.1k indexed · h-index 19

Impact in

  • Pollution top 5%
    • Pesticide and Herbicide Environmental Studies
    • Pharmaceutical and Antibiotic Environmental Impacts
    • Enzyme Production and Characterization

Papers in

    • Pesticide and Herbicide Environmental Studies 6
    • Heavy metals in environment 3
    • Enzyme Production and Characterization 5

Xiaoyu Chu

48 papers receiving 1.0k citations

Peers

Xiaoyu Chu
Comparison fields: 5 of 95
  • Pollution 227
  • Biotechnology 139
  • Molecular Biology 639
  • Health, Toxicology and Mutagenesis 107
  • Cancer Research 104
Replace R. C. Sobti with:
R. C. Sobti India
Changqing Chang China
Shouji Takahashi Japan
Julián Perera Spain
Xinjian Zhang China
Atsushi Kakinuma Japan
Carmen Michán Spain
Yuanming Luo China
Muhammad Nauman Aftab Pakistan
Xiaoyu Chu relative to R. C. Sobti India R. C. Sobti's profile →
Citations per field
00.5×4.4×
R. C. Sobti · 1×
Citations per year

Countries citing papers authored by Xiaoyu Chu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyu Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Xiaoyu Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoyu Chu Line = papers co-authored together Xiaoyu Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20242
5 20241
6 20244
7 20236
8 202312
9
Improving the production of pullulanase in Bacillus licheniformis by screening promoters and signal peptides.
20191
10 20193
11 20182
12 201621
13 201630
14 201610
15
Progress on pullulanase gene engineering.
20151
16 201279
17 201117
18 2010102
19 20078
20 200737

About Xiaoyu Chu

Xiaoyu Chu is a scholar working on Pollution, Biotechnology, Aquatic Science, Biological Psychiatry and Health, Toxicology and Mutagenesis, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pesticide and Herbicide Environmental Studies (6 papers), Enzyme Catalysis and Immobilization (5 papers), Bacterial Genetics and Biotechnology (5 papers), Enzyme Production and Characterization (5 papers), RNA and protein synthesis mechanisms (4 papers), Heavy metals in environment (3 papers), Genomics and Phylogenetic Studies (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Pollution (227 citations), Biotechnology (139 citations), Molecular Biology (639 citations), Health, Toxicology and Mutagenesis (107 citations) and Cancer Research (104 citations). Xiaoyu Chu has collaborated with scholars based in China, Canada and Austria. Frequent co-authors include Ningfeng Wu, Jian Tian, Yunliu Fan, Xiaoqing Liu, Xiaoxia Yu, Ping Wang, Shan Gao, Songdong Meng, Bin Yao and Bo Wu. Their work appears in journals such as Applied Microbiology and Biotechnology, Scientific Reports, Aquaculture Reports, Protein Expression and Purification and PLoS ONE.

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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