Kang‐Lai Wei

903 total citations
27 papers, 680 citations indexed

About

Kang‐Lai Wei is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Kang‐Lai Wei has authored 27 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Kang‐Lai Wei's work include Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (10 papers) and Circular RNAs in diseases (6 papers). Kang‐Lai Wei is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (10 papers) and Circular RNAs in diseases (6 papers). Kang‐Lai Wei collaborates with scholars based in China and Greece. Kang‐Lai Wei's co-authors include Gang Chen, Yi‐Wu Dang, Zu-yun Li, Dianzhong Luo, Zhen‐Bo Feng, Ruixue Tang, Yinan Guo, Fanghui Ren, Xin Zhang and Lin Shi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Kang‐Lai Wei

27 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kang‐Lai Wei China 13 441 325 202 148 64 27 680
Daniela Frezzetti Italy 13 358 0.8× 266 0.8× 175 0.9× 110 0.7× 59 0.9× 18 613
Madeleine L. Craze United Kingdom 18 638 1.4× 451 1.4× 204 1.0× 127 0.9× 65 1.0× 22 892
Áron Bartha Hungary 5 461 1.0× 221 0.7× 218 1.1× 168 1.1× 89 1.4× 8 685
Dong Hoon Shin South Korea 16 491 1.1× 311 1.0× 271 1.3× 152 1.0× 66 1.0× 40 830
Shucai Yang China 13 509 1.2× 317 1.0× 230 1.1× 95 0.6× 154 2.4× 24 793
Lingling Zu China 16 470 1.1× 364 1.1× 181 0.9× 141 1.0× 56 0.9× 55 710
Shiva S. Forootan United Kingdom 15 621 1.4× 394 1.2× 161 0.8× 180 1.2× 48 0.8× 22 838
Haijian Zhang China 18 579 1.3× 335 1.0× 148 0.7× 138 0.9× 111 1.7× 51 828
Ira Kogan-Sakin Israel 13 523 1.2× 261 0.8× 447 2.2× 131 0.9× 79 1.2× 13 869

Countries citing papers authored by Kang‐Lai Wei

Since Specialization
Citations

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

Fields of papers citing papers by Kang‐Lai Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang‐Lai Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Kang‐Lai Wei. A scholar is included among the top collaborators of Kang‐Lai Wei 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 Kang‐Lai Wei. Kang‐Lai Wei 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.
Ou, Fang‐Shu, Yi Pan, Kang‐Lai Wei, et al.. (2025). Integrating machine learning and multi-omics analysis to unveil key programmed cell death patterns and immunotherapy targets in kidney renal clear cell carcinoma. Scientific Reports. 15(1). 18403–18403. 1 indexed citations
2.
Zhang, Wei, et al.. (2024). Upregulation of hsa-miR-141-3p promotes uterine cervical carcinoma progression via targeting dual-specificity protein phosphatase 1. Functional & Integrative Genomics. 24(4). 137–137. 1 indexed citations
3.
Luo, Jie, Xia Li, Kang‐Lai Wei, Gang Chen, & Dandan Xiong. (2023). Advances in the application of computational pathology in diagnosis, immunomicroenvironment recognition, and immunotherapy evaluation of breast cancer: a narrative review. Journal of Cancer Research and Clinical Oncology. 149(13). 12535–12542. 1 indexed citations
4.
He, Rong‐Quan, Zhi‐Guang Huang, Jie Li, et al.. (2022). Downregulated Dual-Specificity Protein Phosphatase 1 in Ovarian Carcinoma: A Comprehensive Study With Multiple Methods. Pathology & Oncology Research. 28. 1610404–1610404. 3 indexed citations
5.
Yu, Bing, Yixin Yin, Yanping Tang, et al.. (2021). Diagnostic and Predictive Value of Immune-Related Genes in Crohn’s Disease. Frontiers in Immunology. 12. 643036–643036. 26 indexed citations
6.
Guo, Yinan, Bin Luo, Wenjie Chen, et al.. (2019). Comprehensive clinical implications of homeobox A10 in 3,199 cases of non-small cell lung cancer tissue samples combining qRT-PCR, RNA sequencing and microarray data.. PubMed. 11(1). 45–66. 8 indexed citations
7.
8.
Guo, Yinan, Hao Dong, Fuchao Ma, et al.. (2019). The clinicopathological significance of decreased miR-125b-5p in hepatocellular carcinoma: evidence based on RT-qPCR, microRNA-microarray, and microRNA-sequencing.. PubMed. 12(1). 21–39. 5 indexed citations
9.
Gao, Li, Yinan Guo, Jiang‐Hui Zeng, et al.. (2019). The expression, significance and function of cancer susceptibility candidate�9 in lung squamous cell carcinoma: A bioinformatics and in�vitro investigation. International Journal of Oncology. 54(5). 1651–1664. 23 indexed citations
10.
Wang, Sida, Lei Wang, Zhixian Li, et al.. (2017). Differential diagnostic performance of acoustic radiation force impulse imaging in small (≤20 mm) breast cancers: Is it valuable?. Scientific Reports. 7(1). 8650–8650. 6 indexed citations
11.
Huang, Lanshan, Xiaoling Xiao, Xiaofei Zhu, et al.. (2017). miR-204 regulates the biological behavior of breast cancer MCF-7 cells by directly targeting FOXA1. Oncology Reports. 38(1). 368–376. 37 indexed citations
12.
Xiong, Dandan, Jun Lv, Kang‐Lai Wei, et al.. (2017). A nine-miRNA signature as a potential diagnostic marker for breast carcinoma: An integrated study of 1,110 cases. Oncology Reports. 37(6). 3297–3304. 50 indexed citations
13.
Gao, Li, Xiaofei Zhu, Kang‐Lai Wei, et al.. (2017). The clinicopathological significance of UBE2C in breast cancer: a study based on immunohistochemistry, microarray and RNA-sequencing data. Cancer Cell International. 17(1). 83–83. 53 indexed citations
14.
15.
Pan, Denghua, Meilin Zhu, Xinggu Lin, et al.. (2016). Evaluation and clinical significance of cyclin-dependent kinase5 expression in cervical lesions: a clinical research study in Guangxi, China. European journal of medical research. 21(1). 28–28. 6 indexed citations
16.
He, Rong‐Quan, Xinggu Lin, Lu Liang, et al.. (2016). Decoy Receptor 3 (DcR3) as a Biomarker of Tumor Deterioration in Female Reproductive Cancers: A Meta-Analysis. Medical Science Monitor. 22. 1850–1857. 10 indexed citations
17.
Ren, Fanghui, Ruixue Tang, Xin Zhang, et al.. (2015). Overexpression of MMP Family Members Functions as Prognostic Biomarker for Breast Cancer Patients: A Systematic Review and Meta-Analysis. PLoS ONE. 10(8). e0135544–e0135544. 160 indexed citations
18.
Wei, Kang‐Lai, Zhihua Ye, Zu-yun Li, et al.. (2015). An immunohistochemical study of cyclin-dependent kinase 5 (CDK5) expression in non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC): a possible prognostic biomarker. World Journal of Surgical Oncology. 14(1). 34–34. 26 indexed citations
19.
Huang, Qiuxia, et al.. (2015). The expression and significance of long non-coding RNA UC001kfo in human breast cancer. 1 indexed citations
20.
Wang, Xuming, Kang‐Lai Wei, Sien Zeng, et al.. (2014). Expression of cluster of differentiation-95 and relevant signaling molecules in liver cancer. Molecular Medicine Reports. 11(5). 3375–3381. 4 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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