Kunlin Wu

401 total citations
17 papers, 301 citations indexed

About

Kunlin Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Kunlin Wu has authored 17 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Kunlin Wu's work include Thyroid Cancer Diagnosis and Treatment (6 papers), Thyroid and Parathyroid Surgery (4 papers) and Head and Neck Anomalies (3 papers). Kunlin Wu is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (6 papers), Thyroid and Parathyroid Surgery (4 papers) and Head and Neck Anomalies (3 papers). Kunlin Wu collaborates with scholars based in China. Kunlin Wu's co-authors include Youzhi Zhu, Xiangjin Chen, Huihao Zhang, Lingjun Kong, Feng Zhao, Ling Chen, Yajuan Fu, Ke Zheng, Ling Chen and Shujun Zhou and has published in prestigious journals such as British journal of surgery, International Journal of Biological Macromolecules and Journal of Nuclear Medicine.

In The Last Decade

Kunlin Wu

15 papers receiving 299 citations

Peers

Kunlin Wu
H Saitoh Japan
Sijin Li China
Lifang Wu China
Milenko Cicmil United States
Kunlin Wu
Citations per year, relative to Kunlin Wu Kunlin Wu (= 1×) peers Ryoji Yoshinaka

Countries citing papers authored by Kunlin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kunlin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunlin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Kunlin Wu. A scholar is included among the top collaborators of Kunlin 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 Kunlin Wu. Kunlin Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
2.
Li, Y., et al.. (2023). Evaluation of CD47 in the Suppressive Tumor Microenvironment and Immunotherapy in Prostate Cancer. Journal of Immunology Research. 2023. 1–12. 1 indexed citations
4.
Wu, Kunlin, et al.. (2021). Anti-hypertensive and cardioprotective activities of traditional Chinese medicine-derived polysaccharides: A review. International Journal of Biological Macromolecules. 185. 917–934. 43 indexed citations
5.
Wang, Zilin, Ling Chen, Lingjun Kong, et al.. (2021). Application of competing risk model in the prognostic prediction study of patients with follicular thyroid carcinoma. Updates in Surgery. 74(2). 735–746. 6 indexed citations
6.
Wu, Kunlin, et al.. (2021). Determination of polyphenols in purple tea and study on its antioxidant activity. Pharmaceutical Care and Research. 21(3). 230–233. 2 indexed citations
7.
Zhu, Youzhi, Junyu Lin, Ke Zheng, et al.. (2021). Delphian lymph node metastasis is a novel indicator of tumor aggressiveness and poor prognosis in papillary thyroid cancer. Journal of Surgical Oncology. 123(7). 1521–1528. 12 indexed citations
8.
Zhou, Linlin, et al.. (2019). B7H4 expression in tumor cells impairs CD8 T cell responses and tumor immunity. Cancer Immunology Immunotherapy. 69(2). 163–174. 18 indexed citations
9.
Wu, Kunlin, Huihao Zhang, Yajuan Fu, et al.. (2018). TLR4/MyD88 signaling determines the metastatic potential of breast cancer cells. Molecular Medicine Reports. 18(3). 3411–3420. 58 indexed citations
10.
Huang, Yide, Xiangjin Chen, Chaoqun Huang, et al.. (2018). Evaluation of the prognostic and physiological functions of death associated protein kinase 1 in breast cancer. Oncology Letters. 15(6). 8261–8268. 4 indexed citations
11.
Chen, Ling, Youzhi Zhu, Ke Zheng, et al.. (2017). The presence of cancerous nodules in lymph nodes is a novel indicator of distant metastasis and poor survival in patients with papillary thyroid carcinoma. Journal of Cancer Research and Clinical Oncology. 143(6). 1035–1042. 23 indexed citations
12.
Hsiao, Po‐Jen, et al.. (2017). Life-Threatening Complications Following Percutaneous Ultrasound-Guided Renal Biopsy: a Rare Case Report. International Archives of Medicine. 10.
13.
Wang, Julie B., et al.. (2017). In situ preservation of the inferior parathyroid gland during central neck dissection for papillary thyroid carcinoma. British journal of surgery. 104(11). 1514–1522. 17 indexed citations
14.
Zhu, Youzhi, Ke Zheng, Huihao Zhang, et al.. (2016). [Expression of microRNA-155 in papillary thyroid carcinoma and its clinical significance].. PubMed. 36(10). 1364–1368. 5 indexed citations
16.
Zhu, Youzhi, Xiangjin Chen, Huihao Zhang, et al.. (2015). Carbon nanoparticle–guided central lymph node dissection in clinically node‐negative patients with papillary thyroid carcinoma. Head & Neck. 38(6). 840–845. 32 indexed citations
17.
Chen, Xiangjin, et al.. (2015). Significance of TLR4/MyD88 expression in breast cancer.. PubMed. 8(6). 7034–9. 41 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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