Kainan Wu

1.3k total citations
61 papers, 905 citations indexed

About

Kainan Wu is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Kainan Wu has authored 61 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 20 papers in Cancer Research and 14 papers in Molecular Biology. Recurrent topics in Kainan Wu's work include Breast Cancer Treatment Studies (10 papers), Cancer Risks and Factors (8 papers) and HER2/EGFR in Cancer Research (7 papers). Kainan Wu is often cited by papers focused on Breast Cancer Treatment Studies (10 papers), Cancer Risks and Factors (8 papers) and HER2/EGFR in Cancer Research (7 papers). Kainan Wu collaborates with scholars based in China, United States and Japan. Kainan Wu's co-authors include Lingquan Kong, Charles S. Fuchs, Edward L. Giovannucci, Diane Feskanich, Bruce W. Hollis, W. C. Willett, Zhou Xu, Hao Li, Hongyuan Li and Yutuan Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Kainan Wu

56 papers receiving 884 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kainan Wu China 13 262 255 233 228 190 61 905
Maria Ida Amabile Italy 19 264 1.0× 126 0.5× 167 0.7× 354 1.6× 84 0.4× 74 1.2k
Lingquan Kong China 14 210 0.8× 87 0.3× 184 0.8× 178 0.8× 171 0.9× 71 702
Nilgün Kapucuoğlu Türkiye 20 304 1.2× 120 0.5× 187 0.8× 253 1.1× 93 0.5× 74 1000
Heba F. Pasha Egypt 18 135 0.5× 91 0.4× 159 0.7× 288 1.3× 172 0.9× 42 919
Marisa Cañadas‐Garre Spain 19 256 1.0× 90 0.4× 192 0.8× 435 1.9× 66 0.3× 44 1.0k
Jean‐Charles Hogue Canada 19 215 0.8× 210 0.8× 331 1.4× 142 0.6× 114 0.6× 47 986
Yusuke Arakawa Japan 24 306 1.2× 89 0.3× 149 0.6× 350 1.5× 361 1.9× 95 1.5k
Sang Uk Woo South Korea 15 247 0.9× 69 0.3× 159 0.7× 216 0.9× 116 0.6× 58 758
William D. Dupont United States 10 356 1.4× 423 1.7× 322 1.4× 160 0.7× 99 0.5× 11 1.0k

Countries citing papers authored by Kainan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kainan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kainan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Kainan Wu. A scholar is included among the top collaborators of Kainan Wu 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 Kainan Wu. Kainan Wu 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.
Wu, Kainan, et al.. (2024). Leptin and insulin synergize with PIK3CA mutation to enhance PD-L1 mediated immunosuppression in thyroid cancer. Experimental Cell Research. 442(2). 114229–114229. 2 indexed citations
2.
Liang, Xinyu, Ran Liang, Lei Hu, et al.. (2024). Prevalence and risk factors of thyroid nodules in breast cancer women with different clinicopathological characteristics: a cross-sectional study. Clinical & Translational Oncology. 26(9). 2380–2387.
3.
Huang, Jie, Lei Hu, Zhiyu Jiang, et al.. (2024). Cross-sectional study of hepatitis B virus infection in female breast cancer patients in China for the first time diagnosed. Clinical & Translational Oncology. 27(1). 257–264. 1 indexed citations
4.
Chen, Yuling, Shen Tian, Juan Wu, et al.. (2023). Impact of Thyroid Function on the Prevalence and Mortality of Metabolic Dysfunction-Associated Fatty Liver Disease. The Journal of Clinical Endocrinology & Metabolism. 108(7). e434–e443. 17 indexed citations
5.
Wu, Juan, Shen Tian, Hao Li, et al.. (2022). Population-specific cut-off points of fatty liver index: a study based on the National Health and Nutrition Examination Survey data. BMC Gastroenterology. 22(1). 265–265. 12 indexed citations
6.
Chen, Yuling, Hao Li, Shu Li, et al.. (2021). Prevalence of and risk factors for metabolic associated fatty liver disease in an urban population in China: a cross-sectional comparative study. BMC Gastroenterology. 21(1). 212–212. 67 indexed citations
7.
Li, Hao, Ze Wang, Hao Chen, et al.. (2020). Association Between Breast and Thyroid Lesions: A Cross-Sectional Study Based on Ultrasonography Screening in China. Thyroid. 30(8). 1150–1158. 7 indexed citations
8.
Li, Tong, et al.. (2020). Weighted gene co-expression network analysis identifies RHOH and TRAF1 as key candidate genes for psoriatic arthritis. Clinical Rheumatology. 40(4). 1381–1391. 2 indexed citations
9.
Fang, Min, Xiaoxi Zhang, Hao Zhang, et al.. (2019). Local Control of Breast Conservation Therapy versus Mastectomy in Multifocal or Multicentric Breast Cancer: A Systematic Review and Meta-Analysis. Breast Care. 14(4). 188–193. 13 indexed citations
10.
Xu, Zhou, Feng Luo, Yu Wang, et al.. (2019). Cognitive impairments in breast cancer survivors treated with chemotherapy: a study based on event-related potentials. Cancer Chemotherapy and Pharmacology. 85(1). 61–67. 11 indexed citations
11.
Wu, Yutuan, Xin Li, Lu Gan, et al.. (2018). Effect of neoadjuvant chemotherapy on the expression of hormone receptors and Ki67 in Chinese breast cancer patients: A retrospective study of 525 patients. Journal of Biomedical Research. 32(3). 191–191. 19 indexed citations
12.
13.
Wu, Yutuan, Zhou Xu, Ke Zhang, et al.. (2018). Efficacy and cardiac safety of the concurrent use of trastuzumab and anthracycline-based neoadjuvant chemotherapy for HER2-positive breast cancer: a systematic review and meta-analysis. Therapeutics and Clinical Risk Management. Volume 14. 1789–1797. 7 indexed citations
14.
Huang, Jianbo, Lei Xing, Ziwei Wang, et al.. (2013). Chemosensitization role of endocrine hormones in cancer chemotherapy. Chinese Medical Journal. 126(1). 175–180.
15.
Wang, Ruijue, Yang Bai, Jianbo Huang, et al.. (2013). Incidences of diabetes and prediabetes among female adult breast cancer patients after systemic treatment. Medical Oncology. 30(3). 687–687. 15 indexed citations
16.
Wu, Kainan. (2008). Study on the Change and Correlation between Psychosocial Factor and Immunity Function in Breast Cancer Patients. Zhongguo quanke yixue. 1 indexed citations
17.
Wu, Kainan, Diane Feskanich, Charles S. Fuchs, et al.. (2007). A Nested Case-Control Study of Plasma 25-Hydroxyvitamin D Concentrations and Risk of Colorectal Cancer. JNCI Journal of the National Cancer Institute. 99(14). 1120–1129. 194 indexed citations
18.
Wu, Kainan. (2006). Antiproliferative effect of curcumin on human breast cancer of MCF-7 cells. Di-san junyi daxue xuebao. 2 indexed citations
19.
Wu, Kainan. (2005). Expressions and clinical significances of ER,PR,nm23 and p53 in bilateral breast cancer. 1 indexed citations
20.
Wu, Kainan. (2005). Inhibitory effect of quercetin on breast cancer cell lines MDA-MB-435S and its mechanism. 1 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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