Xiaoyuan Jiang

1.8k total citations
57 papers, 1.3k citations indexed

About

Xiaoyuan Jiang is a scholar working on Materials Chemistry, Molecular Medicine and Catalysis. According to data from OpenAlex, Xiaoyuan Jiang has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Materials Chemistry, 22 papers in Molecular Medicine and 15 papers in Catalysis. Recurrent topics in Xiaoyuan Jiang's work include Catalytic Processes in Materials Science (22 papers), Antibiotic Resistance in Bacteria (22 papers) and Catalysis and Oxidation Reactions (14 papers). Xiaoyuan Jiang is often cited by papers focused on Catalytic Processes in Materials Science (22 papers), Antibiotic Resistance in Bacteria (22 papers) and Catalysis and Oxidation Reactions (14 papers). Xiaoyuan Jiang collaborates with scholars based in China, Belarus and Japan. Xiaoyuan Jiang's co-authors include Xiaoming Zheng, Renxian Zhou, Zheng Xiaoming, Jianxin Mao, Liping Lou, Yingxu Chen, Dongsheng Zhou, Fang Chen, Zhe Yin and Yu Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Scientific Reports.

In The Last Decade

Xiaoyuan Jiang

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyuan Jiang China 19 779 527 363 181 169 57 1.3k
Yufeng Gu China 14 654 0.8× 473 0.9× 80 0.2× 23 0.1× 183 1.1× 22 1.2k
Thi Thu Le Germany 17 843 1.1× 231 0.4× 64 0.2× 128 0.7× 37 0.2× 42 1.2k
Shuqing Zhou China 19 335 0.4× 105 0.2× 85 0.2× 20 0.1× 57 0.3× 58 801
Alina Tîrşoaga Romania 16 264 0.3× 40 0.1× 79 0.2× 83 0.5× 98 0.6× 33 837
Shanshan Fu China 22 681 0.9× 44 0.1× 73 0.2× 342 1.9× 22 0.1× 50 1.5k
Ayumi Yoshizumi Japan 19 77 0.1× 82 0.2× 228 0.6× 83 0.5× 93 0.6× 26 842
Wenyao Chen China 10 279 0.4× 134 0.3× 79 0.2× 39 0.2× 8 0.0× 15 549
Xiaojuan You China 9 432 0.6× 395 0.7× 36 0.1× 8 0.0× 76 0.4× 16 579
Sandra Konstantinović Serbia 16 123 0.2× 75 0.1× 18 0.0× 85 0.5× 84 0.5× 51 951
Lina Ma China 14 259 0.3× 95 0.2× 22 0.1× 18 0.1× 64 0.4× 25 637

Countries citing papers authored by Xiaoyuan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyuan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyuan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyuan Jiang. A scholar is included among the top collaborators of Xiaoyuan Jiang 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 Xiaoyuan Jiang. Xiaoyuan Jiang 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.
Xia, Chengdong, Liya Yue, Cuidan Li, et al.. (2025). Gut microbiota’s role in the enhancement of type 2 diabetes treatment by a traditional Chinese herbal formula compared to metformin. Microbiology Spectrum. 13(5). e0241224–e0241224. 1 indexed citations
2.
Jiang, Xiaoyuan, Shuangshuang Li, Cuidan Li, et al.. (2025). The global genomic landscape of hypervirulent Klebsiella pneumoniae from 1932 to 2021. PubMed. 4(4). 378–396.
3.
Fu, Qian, Jie Wang, Liya Yue, et al.. (2025). Fragmentation patterns of pathogen-derived cell-free DNA as a promising non-invasive biomarker for bloodstream infection diagnosis. Practical Laboratory Medicine. 47. e00513–e00513.
4.
Wang, Jie, Cuidan Li, Xiaotong Wang, et al.. (2023). Proteomic analyses of smear-positive/negative tuberculosis patients uncover differential antigen-presenting cell activation and lipid metabolism. Frontiers in Cellular and Infection Microbiology. 13.
5.
Li, Cuidan, Xiaoyuan Jiang, Tingting Yang, et al.. (2022). Genomic Epidemiology of Carbapenemase-Producing Klebsiella Pneumoniae in China. Genomics Proteomics & Bioinformatics. 20(6). 1154–1167. 28 indexed citations
6.
Wang, Peng, Xiaoyuan Jiang, Ying Jing, et al.. (2022). DANMEL: A manually curated reference database for analyzing mobile genetic elements associated with bacterial drug resistance. SHILAP Revista de lepidopterología. 1(4). 460–464. 19 indexed citations
7.
Li, Shuangshuang, Xiaoyuan Jiang, Cuidan Li, et al.. (2022). A blaSIM-1 and mcr-9.2 harboring Klebsiella michiganensis strain reported and genomic characteristics of Klebsiella michiganensis. Frontiers in Cellular and Infection Microbiology. 12. 973901–973901. 6 indexed citations
8.
Qu, Daofeng, Lingfei Hu, Xiaoyuan Jiang, et al.. (2019). <p>Comparative analysis of KPC-2-encoding chimera plasmids with multi-replicon IncR:Inc<sub>pA1763-KPC</sub>:IncN1 or IncFII<sub>pHN7A8</sub>:Inc<sub>pA1763-KPC</sub>: IncN1</p>. Infection and Drug Resistance. Volume 12. 285–296. 30 indexed citations
9.
Zhang, Defu, Jiao Feng, Lingfei Hu, et al.. (2019). Replicon-Based Typing of IncI-Complex Plasmids, and Comparative Genomics Analysis of IncIγ/K1 Plasmids. Frontiers in Microbiology. 10. 48–48. 22 indexed citations
10.
Jing, Ying, Xiaoyuan Jiang, Zhe Yin, et al.. (2019). Genomic diversification of IncR plasmids from China. Journal of Global Antimicrobial Resistance. 19. 358–364. 23 indexed citations
11.
Jiang, Xiaoyuan, Yanan Xu, Lingfei Hu, et al.. (2019). Type 1, 2, and 1/2-Hybrid IncC Plasmids From China. Frontiers in Microbiology. 10. 2508–2508. 11 indexed citations
12.
13.
Jiang, Xiaoyuan, Lingfei Hu, Zhe Yin, et al.. (2019). Sequencing and Genomic Diversity Analysis of IncHI5 Plasmids. Frontiers in Microbiology. 9. 3318–3318. 37 indexed citations
14.
15.
Jiang, Xiaoyuan, Zhe Yin, Haihong Fang, et al.. (2017). Sequencing of blaIMP-Carrying IncN2 Plasmids, and Comparative Genomics of IncN2 Plasmids Harboring Class 1 Integrons. Frontiers in Cellular and Infection Microbiology. 7. 102–102. 18 indexed citations
16.
Zhao, Xiuhua, et al.. (2008). Preparation and Characterization of CuO/Ce<SUB>0.5</SUB>Ti<SUB>0.5</SUB>O<SUB>2</SUB> and Its Catalytic Activity for NO+CO Reaction. Acta Physico-Chimica Sinica. 24(6). 1023–1029. 1 indexed citations
17.
Jiang, Xiaoyuan, et al.. (2008). A Software Component Classification Based on Facet and Neural Network. 1121–1123. 1 indexed citations
18.
Jiang, Xiaoyuan, et al.. (2007). Catalytic properties of CuO/Sn0.9Ti0.1O2 and CuO/Sn0.7Ti0.3O2 in NO+CO reaction. Journal of Zhejiang University. Science A. 8(11). 1839–1845. 2 indexed citations
19.
Li, Huijuan, et al.. (2006). Synthesis of TiO<sub>2</sub>/[[gamma]]r-Al<sub>2</sub>O<sub>3</sub> and Effect of CuO Loading on NO Reduction. Acta Physico-Chimica Sinica. 22(5). 584–589. 1 indexed citations
20.
Jiang, Xiaoyuan. (1993). The colour of Sirius as recorded in ancient Chinese texts. Chinese Astronomy and Astrophysics. 17(2). 223–228. 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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