Chuanxing Li

2.1k total citations
62 papers, 1.5k citations indexed

About

Chuanxing Li is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Chuanxing Li has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 16 papers in Pulmonary and Respiratory Medicine and 9 papers in Cancer Research. Recurrent topics in Chuanxing Li's work include Bioinformatics and Genomic Networks (13 papers), Gene expression and cancer classification (7 papers) and Genetic Associations and Epidemiology (6 papers). Chuanxing Li is often cited by papers focused on Bioinformatics and Genomic Networks (13 papers), Gene expression and cancer classification (7 papers) and Genetic Associations and Epidemiology (6 papers). Chuanxing Li collaborates with scholars based in China, Sweden and United States. Chuanxing Li's co-authors include Xia Li, Yun Xiao, Juan Xu, Jinhua Huang, Fujun Zhang, Åsa M. Wheelock, Dapeng Hao, Peihong Wu, Wei Jiang and Lei Du and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Chuanxing Li

59 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuanxing Li China 22 733 486 211 184 180 62 1.5k
Tung Nguyen United States 23 862 1.2× 536 1.1× 140 0.7× 80 0.4× 13 0.1× 75 1.9k
Huy Q. Dinh United States 21 1.9k 2.5× 446 0.9× 264 1.3× 55 0.3× 825 4.6× 58 3.4k
Shixuan Wang China 28 1.1k 1.6× 440 0.9× 110 0.5× 234 1.3× 18 0.1× 106 2.3k
Hitoshi Inoue Japan 19 303 0.4× 225 0.5× 469 2.2× 40 0.2× 128 0.7× 166 1.4k
Ollivier Hyrien United States 23 428 0.6× 252 0.5× 159 0.8× 34 0.2× 52 0.3× 79 1.7k
Lei Xu China 21 711 1.0× 111 0.2× 182 0.9× 61 0.3× 31 0.2× 109 1.5k
Lijuan Chen China 18 1.1k 1.5× 472 1.0× 65 0.3× 96 0.5× 14 0.1× 67 1.8k
Feng Mao China 27 1.1k 1.6× 424 0.9× 355 1.7× 138 0.8× 26 0.1× 159 2.6k
Kazuhiro Imai Japan 22 407 0.6× 156 0.3× 520 2.5× 68 0.4× 74 0.4× 115 1.5k
Fan Shi China 19 372 0.5× 158 0.3× 74 0.4× 41 0.2× 182 1.0× 75 1.1k

Countries citing papers authored by Chuanxing Li

Since Specialization
Citations

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

Fields of papers citing papers by Chuanxing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuanxing Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chuanxing Li. A scholar is included among the top collaborators of Chuanxing Li 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 Chuanxing Li. Chuanxing Li 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.
Gao, Jing, Petra Um‐Bergström, Eva Berggren-Broström, et al.. (2024). Large airway T cells in adults with former bronchopulmonary dysplasia. Respiratory Research. 25(1). 2 indexed citations
3.
Merikallio, Heta, Reza Karimi, Chuanxing Li, et al.. (2024). Expression Levels of MUC5AC and MUC5B in Airway Goblet Cells Are Associated with Traits of COPD and Progression of Chronic Airflow Limitation. International Journal of Molecular Sciences. 25(24). 13653–13653. 1 indexed citations
4.
Kermani, Nazanin Zounemat, Chuanxing Li, Kai Sun, et al.. (2024). Endotypes of severe neutrophilic and eosinophilic asthma from multi‐omics integration of U‐BIOPRED sputum samples. Clinical and Translational Medicine. 14(7). e1771–e1771. 11 indexed citations
5.
Lu, Fei, Jing Gao, Yang Luo, et al.. (2023). CircCPSF6 promotes hepatocellular carcinoma cancer progression by regulating MAP4K4 through sponging miR-145-5p. Molecular and Cellular Probes. 71. 101920–101920. 1 indexed citations
6.
Merikallio, Heta, Reza Karimi, Chuanxing Li, et al.. (2023). Mucins 3A and 3B Are Expressed in the Epithelium of Human Large Airway. International Journal of Molecular Sciences. 24(17). 13546–13546. 2 indexed citations
7.
Li, Chuanxing, Jing Gao, Zicheng Zhang, et al.. (2021). Multiomics integration-based molecular characterizations of COVID-19. Briefings in Bioinformatics. 23(1). 23 indexed citations
8.
Gao, Jing, Lisa Carlson, Chuanxing Li, et al.. (2021). Baseline characteristics and survival of patients of idiopathic pulmonary fibrosis: a longitudinal analysis of the Swedish IPF Registry. Respiratory Research. 22(1). 40–40. 42 indexed citations
9.
Gao, Jing, Chuanxing Li, Steffen Ohlmeier, et al.. (2020). <p>Sputum Vitamin D Binding Protein (VDBP) GC1S/1S Genotype Predicts Airway Obstruction: A Prospective Study in Smokers with COPD</p>. International Journal of COPD. Volume 15. 1049–1059. 9 indexed citations
10.
Nouws, Jessica, Feng Wan, Willy Roque, et al.. (2020). MicroRNA miR-24-3p reduces DNA damage responses, apoptosis, and susceptibility to chronic obstructive pulmonary disease. JCI Insight. 6(2). 24 indexed citations
11.
Jin, Nana, Nannan Liu, Yan Huang, et al.. (2014). Global gene expression distribution in non-cancerous complex diseases. Molecular BioSystems. 10(4). 728–731. 5 indexed citations
12.
Li, Chuanxing, Yanling Zhang, Dong Chen, et al.. (2014). Experimental Research on a Novel Iodine-125 Seed Strand Connected Using Magnesium Alloy AZ31. Recent Patents on Anti-Cancer Drug Discovery. 9(2). 249–257. 3 indexed citations
13.
Hao, Dapeng, Cong Ren, & Chuanxing Li. (2012). Revisiting the variation of clustering coefficient of biological networks suggests new modular structure. BMC Systems Biology. 6(1). 34–34. 30 indexed citations
14.
Xu, Juan, Chuanxing Li, Yun Xiao, et al.. (2011). Prioritizing Candidate Disease miRNAs by Topological Features in the miRNA Target–Dysregulated Network: Case Study of Prostate Cancer. Molecular Cancer Therapeutics. 10(10). 1857–1866. 201 indexed citations
15.
Zhang, Fujun, et al.. (2011). On the In Vivo Degradation Performance of Stranded 125I Seeds Connected With AZ31B Magnesium Alloy. Brachytherapy. 10. S98–S98. 2 indexed citations
16.
Li, Chuanxing, Fujun Zhang, Weidong Zhang, et al.. (2010). Feasibility of 125I brachytherapy combined with sorafenib treatment in patients with multiple lung metastases after liver transplantation for hepatocellular carcinoma. Journal of Cancer Research and Clinical Oncology. 136(11). 1633–1640. 28 indexed citations
17.
Zhang, Liang, Zilin Huang, Peihong Wu, et al.. (2009). Minimally invasive therapy for primary hepatocellular carcinoma with lung metastasis. 15(3). 224–228. 1 indexed citations
19.
Li, Xia, Shaoqi Rao, Wei Jiang, et al.. (2006). Discovery of time-delayed gene regulatory networks based on temporal gene expression profiling. BMC Bioinformatics. 7(1). 26–26. 50 indexed citations
20.
Jiang, Wei, Xia Li, Zheng Guo, et al.. (2006). A novel model-free approach for reconstruction of time-delayed gene regulatory networks. Science in China Series C Life Sciences. 49(2). 190–200. 2 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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