Chun‐Min Kang

1.3k total citations
38 papers, 954 citations indexed

About

Chun‐Min Kang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Chun‐Min Kang has authored 38 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Cancer Research and 9 papers in Immunology. Recurrent topics in Chun‐Min Kang's work include Cancer-related molecular mechanisms research (14 papers), RNA Research and Splicing (8 papers) and Atherosclerosis and Cardiovascular Diseases (6 papers). Chun‐Min Kang is often cited by papers focused on Cancer-related molecular mechanisms research (14 papers), RNA Research and Splicing (8 papers) and Atherosclerosis and Cardiovascular Diseases (6 papers). Chun‐Min Kang collaborates with scholars based in China, United Kingdom and Hong Kong. Chun‐Min Kang's co-authors include Yan‐Wei Hu, Lei Zheng, Yu‐Rong Qiu, Haixia Li, Qian Wang, Jingjing Zhao, Huan‐Lan Bai, Zhifeng Lu, Jingbo Lu and Fengxia Guo and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Arteriosclerosis Thrombosis and Vascular Biology and Cell Death and Differentiation.

In The Last Decade

Chun‐Min Kang

36 papers receiving 951 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun‐Min Kang China 19 668 492 168 105 68 38 954
Xiaodong Cui China 14 598 0.9× 256 0.5× 57 0.3× 91 0.9× 57 0.8× 40 851
Jian Xiao China 17 460 0.7× 315 0.6× 62 0.4× 76 0.7× 81 1.2× 41 819
Xiaocong Pang China 16 506 0.8× 230 0.5× 116 0.7× 70 0.7× 39 0.6× 45 873
Peishan Hu China 16 564 0.8× 310 0.6× 98 0.6× 68 0.6× 47 0.7× 30 832
Kai Fan China 14 557 0.8× 437 0.9× 59 0.4× 49 0.5× 66 1.0× 24 797
Mingxuan Feng China 16 857 1.3× 488 1.0× 102 0.6× 126 1.2× 113 1.7× 48 1.3k

Countries citing papers authored by Chun‐Min Kang

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Min Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Min Kang. 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 Chun‐Min Kang. The network helps show where Chun‐Min Kang may publish in the future.

Co-authorship network of co-authors of Chun‐Min Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Min Kang. A scholar is included among the top collaborators of Chun‐Min Kang 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 Chun‐Min Kang. Chun‐Min Kang 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.
Kang, Chun‐Min, et al.. (2025). Unveiling the role of GATA4 in endothelial cell senescence and atherosclerosis development. Atherosclerosis. 404. 119183–119183.
2.
Zhu, Yanting, You‐Zhi Zhang, Li Liang, et al.. (2025). Total glucosides of paeony ameliorates lupus nephritis by suppressing ZBP1-mediated PANoptosis in podocytes. Phytomedicine. 145. 156996–156996. 1 indexed citations
3.
Pan, Min, et al.. (2025). LRP5 enhances glioma cell proliferation by modulating the MAPK/p53/cdc2 pathway. International Journal of Medical Sciences. 22(4). 990–1001. 1 indexed citations
4.
Zhao, Jingjing, et al.. (2025). MS4A6A regulates ox-LDL-induced endothelial dysfunction and monocyte adhesion in atherosclerosis via the IKK/NF-kappaB pathway. International Immunopharmacology. 152. 114404–114404. 3 indexed citations
5.
Liang, Miao, Weikang Li, Xixi Xie, et al.. (2024). OAS1 induces endothelial dysfunction and promotes monocyte adhesion through the NFκB pathway in atherosclerosis. Archives of Biochemistry and Biophysics. 763. 110222–110222. 5 indexed citations
6.
Zhang, Yang, et al.. (2023). Maintenance of cathepsin D-dependent autophagy-lysosomal function protects against cardiac ischemia/reperfusion injury. Biochemical and Biophysical Research Communications. 667. 1–9. 3 indexed citations
7.
Kang, Chun‐Min, et al.. (2023). A simple and accurate LC‑MS/MS method for monitoring cyclosporin A that is suitable for high throughput analysis. Experimental and Therapeutic Medicine. 26(1). 342–342. 2 indexed citations
8.
Li, Bingling, Weikang Li, Peifeng Ke, et al.. (2022). A modified LC-MS/MS method for the detection of whole blood tacrolimus and its clinical value in Chinese kidney transplant patients. Heliyon. 8(8). e10214–e10214. 7 indexed citations
9.
Jin, Xin, Lü Chen, Yang Zhang, et al.. (2022). A novel model based on necroptosis-related genes for predicting immune status and prognosis in glioma. Frontiers in Immunology. 13. 1027794–1027794. 6 indexed citations
10.
Lu, Zhifeng, Chun‐Min Kang, Kim E. Haworth, et al.. (2021). The Long Noncoding RNA RP11-728F11.4 Promotes Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 41(3). 1191–1204. 22 indexed citations
11.
Zhao, Jingjing, et al.. (2021). Performance characteristics of the Mindray chemiluminescence anti‐Müllerian hormone assay. Journal of Clinical Laboratory Analysis. 35(4). e23734–e23734. 1 indexed citations
12.
Wang, Jiali, Limin Li, Xin He, et al.. (2020). Lipopolysaccharide Promotes Inflammatory Response via Enhancing IFIT1 Expression in Human Umbilical Vein Endothelial Cells. DNA and Cell Biology. 39(7). 1274–1281. 9 indexed citations
13.
Lin, Song, Hongmei Wang, Chun‐Min Kang, et al.. (2020). Differential diagnosis and prospective grading of COVID-19 at the early stage with simple hematological and biochemical variables. Diagnostic Microbiology and Infectious Disease. 99(2). 115169–115169. 10 indexed citations
14.
15.
Wu, Limei, Shao-Guo Wu, Qian Wu, et al.. (2019). Atorvastatin inhibits pyroptosis through the lncRNA NEXN-AS1/NEXN pathway in human vascular endothelial cells. Atherosclerosis. 293. 26–34. 76 indexed citations
16.
Kang, Chun‐Min, Huan‐Lan Bai, Ruiying Huang, et al.. (2019). The binding of lncRNA RP11-732M18.3 with 14-3-3 β/α accelerates p21 degradation and promotes glioma growth. EBioMedicine. 45. 58–69. 23 indexed citations
17.
Li, Haixia, Weinan Lai, Xin Li, et al.. (2018). Comprehensive circular RNA profiles in plasma reveals that circular RNAs can be used as novel biomarkers for systemic lupus erythematosus. Clinica Chimica Acta. 480. 17–25. 81 indexed citations
18.
Situ, Bo, Meng Gao, Xiaojing He, et al.. (2018). A two-photon AIEgen for simultaneous dual-color imaging of atherosclerotic plaques. Materials Horizons. 6(3). 546–553. 60 indexed citations
19.
Huang, Chuan, Yan‐Wei Hu, Jingjing Zhao, et al.. (2016). Long Noncoding RNA HOXC-AS1 Suppresses Ox-LDL-Induced Cholesterol Accumulation Through Promoting HOXC6 Expression in THP-1 Macrophages. DNA and Cell Biology. 35(11). 722–729. 57 indexed citations
20.
Xu, Hui, Yan‐Wei Hu, Jiayi Zhao, et al.. (2015). MicroRNA-195-5p acts as an anti-oncogene by targeting PHF19 in hepatocellular carcinoma. Oncology Reports. 34(1). 175–182. 58 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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