Xiaoli Cao

2.8k total citations
134 papers, 2.0k citations indexed

About

Xiaoli Cao is a scholar working on Molecular Biology, Molecular Medicine and Epidemiology. According to data from OpenAlex, Xiaoli Cao has authored 134 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 34 papers in Molecular Medicine and 23 papers in Epidemiology. Recurrent topics in Xiaoli Cao's work include Antibiotic Resistance in Bacteria (34 papers), MicroRNA in disease regulation (10 papers) and Cancer-related molecular mechanisms research (10 papers). Xiaoli Cao is often cited by papers focused on Antibiotic Resistance in Bacteria (34 papers), MicroRNA in disease regulation (10 papers) and Cancer-related molecular mechanisms research (10 papers). Xiaoli Cao collaborates with scholars based in China, United States and Japan. Xiaoli Cao's co-authors include Rui‐Xing Yin, Wu‐Xian Chen, Han Shen, Dong‐Feng Wu, Jin‐Zhen Wu, Zhifeng Zhang, Wanqing Zhou, Lynn Htet Htet Aung, Kui Zhang and Junhao Chen and has published in prestigious journals such as Blood, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Xiaoli Cao

124 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoli Cao China 26 657 507 301 275 272 134 2.0k
Ming Jiang China 28 880 1.3× 315 0.6× 322 1.1× 246 0.9× 153 0.6× 90 2.2k
Jinbo Liu China 25 882 1.3× 243 0.5× 256 0.9× 416 1.5× 93 0.3× 142 2.3k
Hua Gao China 22 602 0.9× 342 0.7× 314 1.0× 125 0.5× 126 0.5× 42 1.5k
Xi Li China 30 1.2k 1.9× 257 0.5× 237 0.8× 386 1.4× 87 0.3× 166 2.8k
Yongmei Hu China 23 1.2k 1.8× 247 0.5× 242 0.8× 209 0.8× 116 0.4× 67 3.0k
Jung Min Kim South Korea 28 1.3k 1.9× 669 1.3× 342 1.1× 308 1.1× 269 1.0× 93 2.6k
Hidero Kitasato Japan 29 749 1.1× 161 0.3× 158 0.5× 219 0.8× 109 0.4× 84 2.3k
Yi Yang China 23 477 0.7× 168 0.3× 422 1.4× 176 0.6× 59 0.2× 116 1.9k
Yuan Lu China 25 1.2k 1.8× 307 0.6× 197 0.7× 272 1.0× 153 0.6× 68 2.1k
Theresa May Chin Tan Singapore 31 1.2k 1.8× 156 0.3× 383 1.3× 519 1.9× 63 0.2× 76 2.9k

Countries citing papers authored by Xiaoli Cao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Cao. A scholar is included among the top collaborators of Xiaoli Cao 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 Xiaoli Cao. Xiaoli Cao 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.
Cao, Xiaoli, Yuanyuan Li, Wei Zhu, et al.. (2025). FGFR3 signaling is essential for gastric cancer cell triggering the transition of BM-MSCs into tumor-associated MSCs. Differentiation. 143. 100859–100859. 1 indexed citations
2.
Zhou, Kai, Wei Chen, Chang Liu, et al.. (2025). Comparative genomic analysis of the core virulence factor in Klebsiella pneumoniae ST11, based on a global genomic database. Microbial Pathogenesis. 204. 107575–107575.
3.
Yan, Ruyu, Jun Ji, Liya Wang, et al.. (2025). In vitro antimicrobial activity and resistance mechanisms of cefiderocol against clinical carbapenem-resistant gram-negative bacteria. Frontiers in Microbiology. 16. 1670179–1670179.
4.
Huang, Feng, Xiaoli Cao, Chen Wu, et al.. (2025). Gastric cancer cells shuttle lactate to induce inflammatory CAF-like phenotype and function in bone marrow-derived mesenchymal stem cells. Molecular Immunology. 183. 93–103. 1 indexed citations
8.
Cao, Xiaoli, et al.. (2024). Migrasomes: Emerging organelles for unveiling physiopathology and advancing clinical implications. Life Sciences. 358. 123152–123152. 4 indexed citations
9.
Chen, Wenqin, Jie Zheng, Shuo Gao, et al.. (2024). A comprehensive analysis of the epidemiological and genomic characteristics of global Serratia Marcescens. Journal of Global Antimicrobial Resistance. 40. 81–89. 2 indexed citations
10.
Liu, Chang, et al.. (2024). Epidemiological and genomic characteristics of global blaNDM-carrying Escherichia coli. Annals of Clinical Microbiology and Antimicrobials. 23(1). 58–58. 4 indexed citations
11.
Han, Mei, Chang Liu, Jie Zheng, et al.. (2023). Genomic and clinical characteristics of carbapenem-resistant Enterobacter cloacae complex isolates collected in a Chinese tertiary hospital during 2013–2021. Frontiers in Microbiology. 14. 1127948–1127948. 11 indexed citations
12.
Comandatore, Francesco, Davide Sassera, Sion Bayliss, et al.. (2019). Gene Composition as a Potential Barrier to Large Recombinations in the Bacterial Pathogen Klebsiella pneumoniae. Genome Biology and Evolution. 11(11). 3240–3251. 16 indexed citations
13.
Miao, Liu, Rui‐Xing Yin, Shuo Yang, et al.. (2017). Association between single nucleotide polymorphism rs9534275 and the risk of coronary artery disease and ischemic stroke. Lipids in Health and Disease. 16(1). 193–193. 20 indexed citations
14.
Li, Yuncheng, Erich M. Sturgis, Lijun Zhu, et al.. (2016). E2F transcription factor 2 variants as predictive biomarkers for recurrence risk in patients with squamous cell carcinoma of the oropharynx. Molecular Carcinogenesis. 56(4). 1335–1343. 12 indexed citations
15.
Cao, Xiaoli, Han Shen, Xiaogang Xu, et al.. (2016). High prevalence of fosfomycin resistance genefosA3inblaCTX-M-harbouringEscherichia colifrom urine in a Chinese tertiary hospital during 2010–2014. Epidemiology and Infection. 145(4). 818–824. 36 indexed citations
16.
Cao, Xiaoli, Cheng Li, Zhifeng Zhang, et al.. (2016). Survey of Clinical Extended-Spectrum Beta-Lactamase-Producing Enterobacter cloacae Isolates in a Chinese Tertiary Hospital, 2012–2014. Microbial Drug Resistance. 23(1). 83–89. 16 indexed citations
17.
Zhou, Yijiang, et al.. (2015). Association of variants in CELSR2-PSRC1-SORT1 with risk of serum lipid traits, coronary artery disease and ischemic stroke.. PubMed. 8(8). 9543–51. 26 indexed citations
18.
Zhou, Wanqing, Dongmei Niu, Xiaoli Cao, et al.. (2015). Clonal dissemination of linezolid-resistant Staphylococcus capitis with G2603T mutation in domain V of the 23S rRNA and the cfr gene at a tertiary care hospital in China. BMC Infectious Diseases. 15(1). 97–97. 17 indexed citations
19.
Yin, Rui‐Xing, et al.. (2015). GW26-e0113 Interactions of several single nucleotide polymorphisms and alcohol consumption on blood pressure levels. Journal of the American College of Cardiology. 66(16). C197–C197. 2 indexed citations
20.
Liu, Wanying, Rui‐Xing Yin, Lin Zhang, et al.. (2010). Association of the LIPG 584C > T polymorphism and serum lipid levels in the Guangxi Bai Ku Yao and Han populations. Lipids in Health and Disease. 9(1). 110–110. 18 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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