Can Luo

1.4k total citations
32 papers, 855 citations indexed

About

Can Luo is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Can Luo has authored 32 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Immunology. Recurrent topics in Can Luo's work include Cancer-related molecular mechanisms research (6 papers), Antibiotic Resistance in Bacteria (5 papers) and MicroRNA in disease regulation (4 papers). Can Luo is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Antibiotic Resistance in Bacteria (5 papers) and MicroRNA in disease regulation (4 papers). Can Luo collaborates with scholars based in China and United States. Can Luo's co-authors include Weidong Han, Yelei Guo, Hanren Dai, Yao Wang, Chuan Tong, Zhiqiang Wu, Meixia Chen, Kaichao Feng, Yang Liu and Qingming Yang and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and The FASEB Journal.

In The Last Decade

Can Luo

29 papers receiving 849 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Can Luo China 14 469 387 210 171 132 32 855
Zhiwu Jiang China 16 328 0.7× 356 0.9× 225 1.1× 63 0.4× 95 0.7× 31 782
Fankai Meng China 19 327 0.7× 612 1.6× 112 0.5× 283 1.7× 71 0.5× 70 1.1k
Wolfgang Glienke Germany 16 421 0.9× 357 0.9× 353 1.7× 72 0.4× 62 0.5× 33 878
Else Marit Inderberg Norway 18 602 1.3× 336 0.9× 542 2.6× 53 0.3× 110 0.8× 54 1.0k
Mary K. McKenna United States 16 586 1.2× 321 0.8× 296 1.4× 40 0.2× 115 0.9× 30 857
Fengfeng Cai China 19 289 0.6× 602 1.6× 84 0.4× 359 2.1× 123 0.9× 44 1.1k
Michela Bulfoni Italy 14 304 0.6× 301 0.8× 85 0.4× 290 1.7× 216 1.6× 45 905
Chun‐Mei Hu Taiwan 16 225 0.5× 395 1.0× 138 0.7× 160 0.9× 109 0.8× 48 778
Samad Muhammadnejad Iran 15 263 0.6× 272 0.7× 98 0.5× 124 0.7× 133 1.0× 58 763

Countries citing papers authored by Can Luo

Since Specialization
Citations

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

Fields of papers citing papers by Can Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Can Luo. A scholar is included among the top collaborators of Can Luo 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 Can Luo. Can Luo 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.
He, Yuxing, Can Luo, Wei Du, et al.. (2025). Circular RNAs in colorectal cancer: From molecular mechanisms to therapeutic applications (Review). Oncology Reports. 54(5). 1–13.
2.
3.
Liu, Longfei, Can Luo, Yu Liu, et al.. (2023). Sublytic C5b-9 induces TIMP3 expression by glomerular mesangial cells via TRAF6-dependent KLF5 K63-linked ubiquitination in rat Thy-1 nephritis. International Immunopharmacology. 124(Pt B). 110970–110970. 3 indexed citations
4.
Zhang, Zhiwei, et al.. (2023). ERK1/2-dependent activity of SOX9 is required for sublytic C5b-9-induced expression of FGF1, PDGFα, and TGF-β1 in rat Thy-1 nephritis. International Immunopharmacology. 127. 111372–111372. 1 indexed citations
5.
6.
Zhang, Kan, Lei Liu, Min Yang, et al.. (2022). Reduced porin expression with EnvZ-OmpR, PhoPQ, BaeSR two-component system down-regulation in carbapenem resistance of Klebsiella Pneumoniae based on proteomic analysis. Microbial Pathogenesis. 170. 105686–105686. 5 indexed citations
7.
Chen, Xinyi, Jingjing Tian, Can Luo, et al.. (2022). Cell Membrane Remodeling Mediates Polymyxin B Resistance in Klebsiella pneumoniae: An Integrated Proteomics and Metabolomics Study. Frontiers in Microbiology. 13. 810403–810403. 11 indexed citations
8.
Liu, Longfei, Chenhui Zhao, Chunlei Yao, et al.. (2021). Sublytic C5b-9 induces glomerular mesangial cell proliferation via ERK1/2-dependent SOX9 phosphorylation and acetylation by enhancing Cyclin D1 in rat Thy-1 nephritis. Experimental & Molecular Medicine. 53(4). 572–590. 12 indexed citations
9.
Chen, Chunmei, Min Wang, Xianping Li, et al.. (2021). Correction to: Homology analysis between clinically isolated extraintestinal and enteral Klebsiella pneumoniae among neonates. BMC Microbiology. 21(1). 37–37.
10.
Chen, Chunmei, Min Wang, Xianping Li, et al.. (2021). Homology analysis between clinically isolated extraintestinal and enteral Klebsiella pneumoniae among neonates. BMC Microbiology. 21(1). 25–25. 14 indexed citations
11.
Luo, Lingli, Min Wang, Xianping Li, et al.. (2020). A novel mechanism by which ACTA2-AS1 promotes cervical cancer progression: acting as a ceRNA of miR-143-3p to regulate SMAD3 expression. Cancer Cell International. 20(1). 372–372. 24 indexed citations
12.
Xie, Yixin, Min Wang, Jingjing Tian, et al.. (2019). Long non‐coding RNA expressed in macrophage co‐varies with the inflammatory phenotype during macrophage development and polarization. Journal of Cellular and Molecular Medicine. 23(10). 6530–6542. 23 indexed citations
13.
Wei, Jianshu, Can Luo, Yao Wang, et al.. (2019). PD-1 silencing impairs the anti-tumor function of chimeric antigen receptor modified T cells by inhibiting proliferation activity. Journal for ImmunoTherapy of Cancer. 7(1). 209–209. 75 indexed citations
14.
Luo, Lingli, Min Wang, Xianping Li, et al.. (2019). Long non-coding RNA LOC285194 in cancer. Clinica Chimica Acta. 502. 1–8. 5 indexed citations
15.
Luo, Can, Jianshu Wei, & Weidong Han. (2016). Spotlight on chimeric antigen receptor engineered T cell research and clinical trials in China. Science China Life Sciences. 59(4). 349–359. 9 indexed citations
16.
Tang, Ke, Can Luo, Yan Li, et al.. (2014). The Study of a Novel Sorafenib Derivative HLC-080 as an Antitumor Agent. PLoS ONE. 9(7). e101889–e101889. 12 indexed citations
17.
Ye, Tinghong, Xiawei Wei, Tao Yin, et al.. (2014). Inhibition of FGFR signaling by PD173074 improves antitumor immunity and impairs breast cancer metastasis. Breast Cancer Research and Treatment. 143(3). 435–446. 56 indexed citations
18.
Gong, Fengming, Xingchen Peng, Can Luo, et al.. (2013). Cathepsin B as a potential prognostic and therapeutic marker for human lung squamous cell carcinoma. Molecular Cancer. 12(1). 125–125. 46 indexed citations
19.
Zhou, Xi Kathy, Xiao Luo, Yan Zhang, et al.. (2011). Protective effects of IL-4 on Bacillus Calmette-Guerin and lipopolysaccharide induced immunological liver injury in mice. Inflammation Research. 61(1). 17–26. 10 indexed citations
20.
Zhou, Xikun, Xiaolei Li, Maling Gou, et al.. (2011). Antitumoral efficacy by systemic delivery of heparin conjugated polyethylenimine–plasmid interleukin‐15 complexes in murine models of lung metastasis. Cancer Science. 102(7). 1403–1409. 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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