Xiaoyu Che

3.2k total citations · 2 hit papers
38 papers, 1.9k citations indexed

About

Xiaoyu Che is a scholar working on Infectious Diseases, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Xiaoyu Che has authored 38 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 9 papers in Psychiatry and Mental health and 5 papers in Molecular Biology. Recurrent topics in Xiaoyu Che's work include Fibromyalgia and Chronic Fatigue Syndrome Research (8 papers), Viral Infections and Vectors (5 papers) and Autism Spectrum Disorder Research (4 papers). Xiaoyu Che is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (8 papers), Viral Infections and Vectors (5 papers) and Autism Spectrum Disorder Research (4 papers). Xiaoyu Che collaborates with scholars based in United States, China and Norway. Xiaoyu Che's co-authors include W. Ian Lipkin, Bohyun Lee, Mady Hornig, Simon H. Williams, Anthony L. Komaroff, José G. Montoya, Susan Levine, Daniel L. Peterson, Lucinda Bateman and Nancy G. Klimas and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Xiaoyu Che

37 papers receiving 1.8k citations

Hit Papers

Detection of Zoonotic Pathogens and Characterization of N... 2014 2026 2018 2022 2014 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyu Che United States 19 636 442 293 272 191 38 1.9k
Bohyun Lee United States 11 325 0.5× 211 0.5× 133 0.5× 103 0.4× 164 0.9× 16 905
Takahide Taniguchi Japan 24 255 0.4× 192 0.4× 413 1.4× 214 0.8× 87 0.5× 108 1.8k
Nuno Sepúlveda Portugal 26 168 0.3× 245 0.6× 434 1.5× 696 2.6× 46 0.2× 83 2.0k
J M Galama Netherlands 28 529 0.8× 876 2.0× 270 0.9× 88 0.3× 100 0.5× 56 2.6k
Antonio Bosco Italy 29 183 0.3× 189 0.4× 145 0.5× 115 0.4× 441 2.3× 131 2.6k
Pasi K. Korhonen Australia 27 299 0.5× 500 1.1× 505 1.7× 103 0.4× 116 0.6× 109 2.7k
Omar Jabado United States 26 792 1.2× 192 0.4× 1.1k 3.8× 277 1.0× 169 0.9× 44 2.5k
Spyridon K. Kritas Greece 30 405 0.6× 120 0.3× 466 1.6× 93 0.3× 657 3.4× 126 2.5k
Brent L. Williams United States 18 530 0.8× 438 1.0× 1.0k 3.5× 224 0.8× 104 0.5× 21 2.5k
Nick Andrews United Kingdom 34 701 1.1× 110 0.2× 440 1.5× 148 0.5× 61 0.3× 99 3.6k

Countries citing papers authored by Xiaoyu Che

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyu Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyu Che

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyu Che. A scholar is included among the top collaborators of Xiaoyu Che 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 Xiaoyu Che. Xiaoyu Che 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.
Che, Xiaoyu, Amit Ranjan, Cheng Guo, et al.. (2025). Heightened innate immunity may trigger chronic inflammation, fatigue and post-exertional malaise in ME/CFS. PubMed. 3(1). 34–34. 3 indexed citations
2.
Li, Yaqin, et al.. (2025). Understanding pre-metastatic niche formation: implications for colorectal cancer liver metastasis. Journal of Translational Medicine. 23(1). 340–340. 2 indexed citations
3.
4.
Wang, Hong, Xiaoyu Che, Xia Li, et al.. (2023). Tanshinone IIA normalized hepatocellular carcinoma vessels and enhanced PD-1 inhibitor efficacy by inhibiting ELTD1. Phytomedicine. 123. 155191–155191. 11 indexed citations
5.
Wang, Hong, et al.. (2023). Combination of oxymatrine (Om) and astragaloside IV (As) enhances the infiltration and function of TILs in triple-negative breast cancer (TNBC). International Immunopharmacology. 125(Pt A). 111026–111026. 14 indexed citations
6.
Brydges, Christopher R., Xiaoyu Che, W. Ian Lipkin, & Oliver Fiehn. (2023). Bayesian Statistics Improves Biological Interpretability of Metabolomics Data from Human Cohorts. Metabolites. 13(9). 984–984. 5 indexed citations
7.
Liu, Yuping, et al.. (2023). Formation of pre-metastatic niches induced by tumor extracellular vesicles in lung metastasis. Pharmacological Research. 188. 106669–106669. 20 indexed citations
8.
Wang, Yanlong, Xiaoyu Che, Kang Zhang, et al.. (2023). Transcriptomic and metabolomic analysis of autumn leaf color change in Fraxinus angustifolia. PeerJ. 11. e15319–e15319. 9 indexed citations
9.
Che, Xiaoyu, Christopher R. Brydges, Adam Price, et al.. (2022). Metabolomic Evidence for Peroxisomal Dysfunction in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome. International Journal of Molecular Sciences. 23(14). 7906–7906. 21 indexed citations
10.
Li, Zixuan, et al.. (2021). Perinatal exposure to BDE-47 exacerbated autistic-like behaviors and impairments of dendritic development in a valproic acid-induced rat model of autism. Ecotoxicology and Environmental Safety. 212. 112000–112000. 25 indexed citations
11.
Che, Xiaoyu, Lucinda Bateman, Aaron M. Cheng, et al.. (2020). Plasma proteomic profiling suggests an association between antigen driven clonal B cell expansion and ME/CFS. PLoS ONE. 15(7). e0236148–e0236148. 34 indexed citations
12.
13.
Che, Xiaoyu, et al.. (2020). Exposure to nonylphenol in early life increases pro-inflammatory cytokines in the prefrontal cortex: Involvement of gut-brain communication. Chemico-Biological Interactions. 323. 109076–109076. 13 indexed citations
14.
Tokarz, Rafal, Teresa Tagliafierro, Stephen Sameroff, et al.. (2019). Microbiome analysis of Ixodes scapularis ticks from New York and Connecticut. Ticks and Tick-borne Diseases. 10(4). 894–900. 68 indexed citations
15.
Sameroff, Stephen, Rafal Tokarz, Roxanne A. Charles, et al.. (2019). Viral Diversity of Tick Species Parasitizing Cattle and Dogs in Trinidad and Tobago. Scientific Reports. 9(1). 10421–10421. 63 indexed citations
16.
Barupal, Dinesh Kumar, Bohyun Lee, Xiaoyu Che, et al.. (2018). Insights into myalgic encephalomyelitis/chronic fatigue syndrome phenotypes through comprehensive metabolomics. Scientific Reports. 8(1). 10056–10056. 86 indexed citations
17.
Hornig, Mady, Xiaoyu Che, Deborah Hirtz, et al.. (2017). Prenatal fever and autism risk. Molecular Psychiatry. 23(3). 759–766. 126 indexed citations
18.
Quan, Hongyu, et al.. (2015). MiR-183 promotes growth of non-small cell lung cancer cells through FoxO1 inhibition. Tumor Biology. 36(10). 8121–8126. 55 indexed citations
19.
Frye, Matthew, Cadhla Firth, Meera Bhat, et al.. (2015). Preliminary Survey of Ectoparasites and Associated Pathogens from Norway Rats in New York City. Journal of Medical Entomology. 52(2). 253–259. 33 indexed citations
20.
Zhang, Liqun, et al.. (2015). Vitamin D and Lung Cancer Risk: A Comprehensive Review and Meta-Analysis. Cellular Physiology and Biochemistry. 36(1). 299–305. 78 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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