Kuansong Wang

1.1k total citations
34 papers, 759 citations indexed

About

Kuansong Wang is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Kuansong Wang has authored 34 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Molecular Biology and 8 papers in Cancer Research. Recurrent topics in Kuansong Wang's work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Metastasis and carcinoma case studies (3 papers). Kuansong Wang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Metastasis and carcinoma case studies (3 papers). Kuansong Wang collaborates with scholars based in China, United States and Australia. Kuansong Wang's co-authors include Jifang Wen, Zhongliang Hu, Zhi‐Chun Yang, Jian-Ling Wang, Yayun Nan, Ying Liu, Sui Li-hua, Hua Fu, Jia Huang and Miao Lü and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Kuansong Wang

32 papers receiving 749 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuansong Wang China 14 320 185 140 132 95 34 759
Haibo Wu China 16 317 1.0× 131 0.7× 90 0.6× 172 1.3× 28 0.3× 74 760
Zhihang Chen United States 19 511 1.6× 153 0.8× 223 1.6× 223 1.7× 110 1.2× 48 1.2k
Win Topatana China 13 455 1.4× 341 1.8× 104 0.7× 204 1.5× 51 0.5× 30 1.1k
Shijie Li China 16 488 1.5× 329 1.8× 135 1.0× 184 1.4× 70 0.7× 55 1.1k
Yawen Guo China 18 326 1.0× 179 1.0× 142 1.0× 126 1.0× 99 1.0× 51 1.0k
Junrong Yan China 16 495 1.5× 190 1.0× 140 1.0× 152 1.2× 83 0.9× 72 920
Ying Ou China 21 609 1.9× 176 1.0× 57 0.4× 139 1.1× 43 0.5× 62 1.2k
Zheng Han China 16 376 1.2× 206 1.1× 153 1.1× 183 1.4× 128 1.3× 50 947
Yuting Chen China 22 497 1.6× 220 1.2× 47 0.3× 191 1.4× 29 0.3× 68 1.1k

Countries citing papers authored by Kuansong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kuansong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuansong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kuansong Wang. A scholar is included among the top collaborators of Kuansong Wang 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 Kuansong Wang. Kuansong Wang 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.
Wang, Sai, E. Wu, Tuan‐Tuan Wang, et al.. (2025). Spatial Variation in Food Web Structures, Energy Flows, and System Attributes Along the Pearl River and Their Indications of Protection and Restoration. Ecology and Evolution. 15(2). e70991–e70991. 1 indexed citations
2.
Huang, Juan, Yongwei Zhu, Wenjing Zeng, et al.. (2025). Single-cell transcriptome analysis reveals the malignant characteristics of tumour cells and the immunosuppressive landscape in HER2-positive inflammatory breast cancer. Journal of Experimental & Clinical Cancer Research. 44(1). 196–196. 2 indexed citations
3.
Zhang, Yeting, Qiang Li, Ming Chen, et al.. (2024). Eurochevalierines A–I, Sesquiterpene Alkaloid Hybrids with Anti-Triple Negative Breast Cancer Activity from Penicillium sp. HZ-5. Journal of Agricultural and Food Chemistry. 72(30). 16801–16811. 4 indexed citations
4.
Yang, Junwei, et al.. (2023). Treatment strategies for clear cell renal cell carcinoma: Past, present and future. Frontiers in Oncology. 13. 1133832–1133832. 38 indexed citations
5.
Chen, Yushi, Qi Yu, & Kuansong Wang. (2023). Neoadjuvant chemotherapy for breast cancer: an evaluation of its efficacy and research progress. Frontiers in Oncology. 13. 1169010–1169010. 12 indexed citations
6.
Gao, Yanhua, et al.. (2023). Preparing Data for Artificial Intelligence in Pathology with Clinical-Grade Performance. Diagnostics. 13(19). 3115–3115. 13 indexed citations
7.
Liu, Ruijie, et al.. (2023). Preclinical and Basic Research Strategies for Overcoming Resistance to Targeted Therapies in HER2-Positive Breast Cancer. Cancers. 15(9). 2568–2568. 10 indexed citations
8.
9.
Zhang, Ying, Kuansong Wang, Qian Tan, et al.. (2021). Primary breast CD20-positive extranodal NK/T cell lymphoma with stomach involvement: a case report and literature review. Diagnostic Pathology. 16(1). 103–103. 4 indexed citations
10.
Wang, Kuansong, et al.. (2021). Purified Vitexin Compound 1 Serves as a Promising Antineoplastic Agent in Ovarian Cancer. Frontiers in Oncology. 11. 734708–734708. 6 indexed citations
11.
Wang, Jian-Ling, Sui Li-hua, Jia Huang, et al.. (2021). MoS2-based nanocomposites for cancer diagnosis and therapy. Bioactive Materials. 6(11). 4209–4242. 184 indexed citations
12.
Peng, Yulong, Yuanyuan Li, Yimin Li, et al.. (2020). HOXC10 promotes tumour metastasis by regulating the EMT-related gene Slug in ovarian cancer. Aging. 12(19). 19375–19398. 20 indexed citations
13.
Guan, Yidi, Shilong Jiang, Wenling Ye, et al.. (2020). Combined treatment of mitoxantrone sensitizes breast cancer cells to rapalogs through blocking eEF-2K-mediated activation of Akt and autophagy. Cell Death and Disease. 11(11). 948–948. 28 indexed citations
14.
Li, Qingqing, Kuansong Wang, Changsheng Dong, et al.. (2017). Resveratrol derivative BTM-0512 mitigates obesity by promoting beige remodeling of subcutaneous preadipocytes. Acta Biochimica et Biophysica Sinica. 49(4). 318–327. 10 indexed citations
15.
Wang, Kuansong, et al.. (2016). Inhibiting the role of Skp2 suppresses cell proliferation and tumorigenesis of human gastric cancer cells via the upregulation of p27kip1. Molecular Medicine Reports. 14(4). 3917–3924. 14 indexed citations
16.
Wang, Junpu, Wanming Hu, Kuansong Wang, et al.. (2016). Repertaxin, an inhibitor of the chemokine receptors CXCR1 and CXCR2, inhibits malignant behavior of human gastric cancer MKN45 cells in vitro and in vivo and enhances efficacy of 5-fluorouracil. International Journal of Oncology. 48(4). 1341–1352. 55 indexed citations
17.
Zheng, Jie, Kuansong Wang, Ping Jin, et al.. (2013). The association of adipose-derived dimethylarginine dimethylaminohydrolase-2 with insulin sensitivity in experimental type 2 diabetes mellitus. Acta Biochimica et Biophysica Sinica. 45(8). 641–648. 7 indexed citations
18.
Zhou, Haiyan, Kuansong Wang, Zhongliang Hu, & Jifang Wen. (2013). TGF-β1 alters microRNA profile in human gastric cancer cells.. PubMed. 25(1). 102–11. 23 indexed citations
19.
Fu, Hua, Zhongliang Hu, Jifang Wen, Kuansong Wang, & Ying Liu. (2009). TGF-β promotes invasion and metastasis of gastric cancer cells by increasing fascin1 expression via ERK and JNK signal pathways. Acta Biochimica et Biophysica Sinica. 41(8). 648–656. 83 indexed citations
20.

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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