Chao Xia

434 total citations
23 papers, 343 citations indexed

About

Chao Xia is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Chao Xia has authored 23 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Immunology. Recurrent topics in Chao Xia's work include Bacterial biofilms and quorum sensing (4 papers), Mesenchymal stem cell research (3 papers) and Epigenetics and DNA Methylation (3 papers). Chao Xia is often cited by papers focused on Bacterial biofilms and quorum sensing (4 papers), Mesenchymal stem cell research (3 papers) and Epigenetics and DNA Methylation (3 papers). Chao Xia collaborates with scholars based in China and United States. Chao Xia's co-authors include Yanhong Gao, Yan Hu, Jianxin Song, Hongtao Li, Lili Wang, Xiaoting Chen, Jun Wu, Lu Ye, Hua Li and Zhifeng Shao and has published in prestigious journals such as Advanced Functional Materials, Experimental Cell Research and Journal of Applied Microbiology.

In The Last Decade

Chao Xia

21 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Xia China 12 184 51 50 38 33 23 343
Li Tan China 12 167 0.9× 51 1.0× 34 0.7× 30 0.8× 72 2.2× 33 386
Andrew Yee United States 12 177 1.0× 36 0.7× 103 2.1× 31 0.8× 29 0.9× 19 522
Federica De Majo Netherlands 6 143 0.8× 36 0.7× 121 2.4× 27 0.7× 22 0.7× 9 307
Abdul Qadir Pakistan 9 260 1.4× 36 0.7× 37 0.7× 53 1.4× 38 1.2× 34 455
Chaoyu Zhang China 9 119 0.6× 41 0.8× 31 0.6× 37 1.0× 18 0.5× 14 304
Pierre V. Candelaria United States 10 145 0.8× 53 1.0× 63 1.3× 29 0.8× 41 1.2× 21 439
Eiji Oiki Japan 9 253 1.4× 35 0.7× 66 1.3× 16 0.4× 40 1.2× 12 440
Fanchun Zeng China 7 90 0.5× 29 0.6× 32 0.6× 28 0.7× 34 1.0× 10 361
Weiru Wu China 11 252 1.4× 26 0.5× 51 1.0× 11 0.3× 48 1.5× 16 396

Countries citing papers authored by Chao Xia

Since Specialization
Citations

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

Fields of papers citing papers by Chao Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Xia. A scholar is included among the top collaborators of Chao Xia 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 Chao Xia. Chao Xia 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
2.
Chen, Yang, Chao Xia, Xue Lei, et al.. (2025). Slo1 Deficient Myoblast Exosomes‐Derived miR‐222‐3p Inhibits Osteogenic Differentiation via Targeting of STAT3. Journal of Cachexia Sarcopenia and Muscle. 16(6). e70115–e70115.
3.
Xia, Chao, Yonghui Wang, Yan Hu, et al.. (2023). Slo1 deficiency impaired skeletal muscle regeneration and slow‐twitch fibre formation. Journal of Cachexia Sarcopenia and Muscle. 14(4). 1737–1752. 3 indexed citations
4.
Wang, Chun, Yang Ding, Jie Luo, et al.. (2023). Rictor mediates p53 deactivation to facilitate the malignant transformation of hepatocytes and promote hepatocarcinogenesis. Journal of Translational Medicine. 21(1). 919–919. 3 indexed citations
5.
Xia, Chao, et al.. (2022). Resveratrol Synergistically Promotes BMP9-Induced Osteogenic Differentiation of Mesenchymal Stem Cells. Stem Cells International. 2022. 1–13. 18 indexed citations
6.
Hu, Rong, Libo Chen, Xiaolong Chen, et al.. (2021). Aloperine improves osteoporosis in ovariectomized mice by inhibiting RANKL-induced NF-κB, ERK and JNK approaches. International Immunopharmacology. 97. 107720–107720. 11 indexed citations
7.
Xia, Chao, et al.. (2021). The p53/miR-145a Axis Promotes Cellular Senescence and Inhibits Osteogenic Differentiation by Targeting Cbfb in Mesenchymal Stem Cells. Frontiers in Endocrinology. 11. 609186–609186. 19 indexed citations
8.
Chen, Yong, Zhong Xie, Yangyang Zhang, et al.. (2020). Shikonin relieves osteoporosis of ovariectomized mice by inhibiting RANKL-induced NF-κB and NFAT pathways. Experimental Cell Research. 394(1). 112115–112115. 5 indexed citations
9.
Hu, Yan, et al.. (2020). Triiodothyronine Potentiates BMP9-Induced Osteogenesis in Mesenchymal Stem Cells Through the Activation of AMPK/p38 Signaling. Frontiers in Cell and Developmental Biology. 8. 725–725. 8 indexed citations
10.
Zhu, Xingjun, Yan Hu, Xiaochen Qiu, et al.. (2020). EDTA-Modified 17β-Estradiol-Laden Upconversion Nanocomposite for Bone-Targeted Hormone Replacement Therapy for Osteoporosis. Theranostics. 10(7). 3281–3292. 32 indexed citations
11.
Xia, Chao, Xiaoting Chen, Yan Hu, et al.. (2019). Melatonin promotes the BMP9-induced osteogenic differentiation of mesenchymal stem cells by activating the AMPK/β-catenin signalling pathway. Stem Cell Research & Therapy. 10(1). 408–408. 39 indexed citations
12.
Wu, Jun, Yawen Xiao, Chao Xia, et al.. (2019). Characterization of DNA Methylation Associated Gene Regulatory Networks During Stomach Cancer Progression. Frontiers in Genetics. 9. 711–711. 11 indexed citations
13.
Wu, Jun, Wenxiao Yang, Chao Xia, et al.. (2018). STAT3 is required for proliferation and exhibits a cell type-specific binding preference in mouse female germline stem cells. Molecular Omics. 14(2). 95–102. 9 indexed citations
14.
Xia, Chao, Cong Xu, Jing Liu, et al.. (2017). Early growth response 3 inhibits growth of hepatocellular carcinoma cells via upregulation of Fas ligand. International Journal of Oncology. 50(3). 805–814. 22 indexed citations
15.
Wu, Jun, Yawen Xiao, Chao Xia, et al.. (2017). Identification of Biomarkers for Predicting Lymph Node Metastasis of Stomach Cancer Using Clinical DNA Methylation Data. Disease Markers. 2017. 1–7. 33 indexed citations
16.
Wang, Lili, Fengyun Gong, Chao Xia, et al.. (2012). Intracellular Staphylococcus aureus-induced NF-κB activation and proinflammatory responses of P815 cells are mediated by NOD2. Journal of Huazhong University of Science and Technology [Medical Sciences]. 32(3). 317–323. 14 indexed citations
17.
Wang, Lili, Chunling Zhang, Fengyun Gong, et al.. (2012). Influence of Pseudomonas aeruginosa pvdQ Gene on Altering Antibiotic Susceptibility Under Swarming Conditions. Current Microbiology. 66(2). 152–161. 8 indexed citations
18.
Wang, Lili, Chunling Zhang, Fengyun Gong, et al.. (2011). Influence of Pseudomonas aeruginosa pvdQ Gene on Altering Antibiotic Susceptibility Under Swarming Conditions. Current Microbiology. 63(4). 377–386. 11 indexed citations
19.
Ye, Lu, Gaopeng Li, Hongtao Li, et al.. (2010). Pseudomonas aeruginosa pvdQ Gene Prevents Caco-2 Cells from Obstruction of Quorum-Sensing Signal. Current Microbiology. 62(1). 32–37. 6 indexed citations
20.
Li, Hongtao, Lili Wang, Lu Ye, et al.. (2009). Influence of Pseudomonas aeruginosa quorum sensing signal molecule N-(3-oxododecanoyl) homoserine lactone on mast cells. Medical Microbiology and Immunology. 198(2). 113–121. 49 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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