Xiaoyou Chen

1.3k total citations
43 papers, 767 citations indexed

About

Xiaoyou Chen is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Xiaoyou Chen has authored 43 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Infectious Diseases, 19 papers in Epidemiology and 9 papers in Surgery. Recurrent topics in Xiaoyou Chen's work include Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (12 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Xiaoyou Chen is often cited by papers focused on Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (12 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Xiaoyou Chen collaborates with scholars based in China, Australia and United States. Xiaoyou Chen's co-authors include Fengmin Huo, Xinting Yang, Fanrong Kong, Mengqiu Gao, Naihui Chu, Yu Pang, Wei Shu, Hairong Huang, Shibing Qin and Shaofa Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Xiaoyou Chen

40 papers receiving 744 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyou Chen China 15 443 321 293 125 99 43 767
Michael Saccente United States 11 844 1.9× 874 2.7× 141 0.5× 43 0.3× 33 0.3× 26 1.1k
Angkana Chaiprasert Thailand 12 301 0.7× 359 1.1× 150 0.5× 57 0.5× 71 0.7× 40 517
Navaporn Worasilchai Thailand 18 319 0.7× 372 1.2× 36 0.1× 195 1.6× 65 0.7× 49 822
Sumio Kawamura Japan 11 304 0.7× 290 0.9× 134 0.5× 67 0.5× 66 0.7× 22 586
Adrián G. Rosas-Taraco Mexico 16 374 0.8× 347 1.1× 87 0.3× 189 1.5× 89 0.9× 42 811
Chien‐Hong Chou Taiwan 16 417 0.9× 501 1.6× 265 0.9× 56 0.4× 56 0.6× 31 773
S. de Marie Netherlands 16 336 0.8× 279 0.9× 211 0.7× 57 0.5× 67 0.7× 22 726
Toyomitsu Sawai Japan 12 214 0.5× 206 0.6× 54 0.2× 111 0.9× 115 1.2× 43 485
Cecília Bittencourt Severo Brazil 16 458 1.0× 478 1.5× 30 0.1× 25 0.2× 38 0.4× 49 634
Eric R. van der Vorm Netherlands 16 454 1.0× 362 1.1× 119 0.4× 187 1.5× 18 0.2× 22 760

Countries citing papers authored by Xiaoyou Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyou Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyou Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyou Chen. A scholar is included among the top collaborators of Xiaoyou Chen 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 Xiaoyou Chen. Xiaoyou Chen 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, Xiaoyou, et al.. (2025). A Meteorology-Driven Transformer Network to Predict Soil Moisture for Agriculture Drought Forecasting. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18. 3 indexed citations
3.
Zheng, Luyao, Lei Fu, Weiyan Zhang, et al.. (2025). In vitro and in vivo antibacterial activity of sudapyridine (WX-081) combined with other drugs against Mycobacterium abscessus. Tuberculosis. 154. 102655–102655. 1 indexed citations
4.
Li, Man, Liang Zhang, Jianfeng Zhou, et al.. (2025). Clinicopathological characteristics and diagnostic performance of metagenomic pathogen detection technology in mycobacterial infections among HIV patients. Frontiers in Cellular and Infection Microbiology. 15. 1584189–1584189. 1 indexed citations
5.
Wang, Wenfei, Peize Zhang, Guizhen Liu, et al.. (2024). Variations in Quinolinic Acid Levels in Tuberculosis Patients with Diabetes Comorbidity: A Pilot Prospective Cohort Study. Infection and Drug Resistance. Volume 17. 2975–2985.
6.
Song, Rui, Xiaoyou Chen, Liang Xiao, et al.. (2023). Nasal spray of an IgM‐like ACE2 fusion protein HH‐120 prevents SARS‐CoV‐2 infection: Two investigator‐initiated postexposure prophylaxis trials. Journal of Medical Virology. 95(12). 1 indexed citations
7.
Chen, Danying, Yuanyuan Zhang, Xiong Yang, et al.. (2023). Evaluation of a high-sensitivity SARS-CoV-2 antigen test on the fully automated light-initiated chemiluminescent immunoassay platform. Clinical Chemistry and Laboratory Medicine (CCLM). 61(6). 1123–1130. 4 indexed citations
8.
Chen, Xiaoyou, Jiamin Zhao, Qiang Li, et al.. (2023). Vitamin A injection at birth improves muscle growth in lambs. Animal nutrition. 14. 204–212. 8 indexed citations
10.
Song, Rui, Xiaoyou Chen, Xiaodi Guo, et al.. (2023). Nasal spray of an IgM‐like ACE2 fusion protein HH‐120 accelerates SARS‐CoV‐2 clearance: A single‐center propensity score‐matched cohort study. Journal of Medical Virology. 95(5). e28805–e28805. 7 indexed citations
11.
Zhang, Peize, et al.. (2022). Linezolid-Associated Neuropathy in Patients with MDR/XDR Tuberculosis in Shenzhen, China. Infection and Drug Resistance. Volume 15. 2617–2624. 17 indexed citations
12.
13.
Wang, Yu, et al.. (2022). Seabuckthorn Reverses High-Fat-Diet-Induced Obesity and Enhances Fat Browning via Activation of AMPK/SIRT1 Pathway. Nutrients. 14(14). 2903–2903. 9 indexed citations
15.
Wang, Guirong, Shuqi Wang, Guanglu Jiang, et al.. (2019). Xpert MTB/RIF Ultra improved the diagnosis of paucibacillary tuberculosis: A prospective cohort study. Journal of Infection. 78(4). 311–316. 57 indexed citations
16.
Wang, Guirong, Shuqi Wang, Xinting Yang, et al.. (2019). Accuracy of Xpert MTB/RIF Ultra for the Diagnosis of Pleural TB in a Multicenter Cohort Study. CHEST Journal. 157(2). 268–275. 50 indexed citations
17.
Pan, Liping, Na Wei, Hongyan Jia, et al.. (2017). Genome-wide transcriptional profiling identifies potential signatures in discriminating active tuberculosis from latent infection. Oncotarget. 8(68). 112907–112916. 22 indexed citations
18.
Wang, Guirong, Xinting Yang, Junping Zhu, et al.. (2016). Evaluation of the efficacy of Myco/F lytic system, MGIT960 system and Lowenstein-Jensen medium for recovery of Mycobacterium tuberculosis from sterile body fluids. Scientific Reports. 6(1). 37757–37757. 6 indexed citations
19.
Kong, Fanrong, Sharon C.-A. Chen, Xiaoyou Chen, et al.. (2009). Assignment of Reference 5’-end 16S rDNA Sequences and Species-Specific Sequence Polymorphisms Improves Species Identification of Nocardia. The Open Microbiology Journal. 3(1). 97–105. 25 indexed citations
20.
Chen, Xiaoyou, Xinmiao Fu, Yu Ma, & Zengyi Chang. (2005). Chaperone-Like Activity of Mycobacterium tuberculosis Hsp16.3 Does Not Require Its Intact (Native) Structures. Biochemistry (Moscow). 70(8). 913–919. 7 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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