Chunyan Wu

4.0k total citations · 1 hit paper
67 papers, 1.9k citations indexed

About

Chunyan Wu is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Chunyan Wu has authored 67 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Pulmonary and Respiratory Medicine, 36 papers in Oncology and 19 papers in Cancer Research. Recurrent topics in Chunyan Wu's work include Lung Cancer Treatments and Mutations (29 papers), Lung Cancer Research Studies (15 papers) and Cancer Immunotherapy and Biomarkers (14 papers). Chunyan Wu is often cited by papers focused on Lung Cancer Treatments and Mutations (29 papers), Lung Cancer Research Studies (15 papers) and Cancer Immunotherapy and Biomarkers (14 papers). Chunyan Wu collaborates with scholars based in China, United States and Germany. Chunyan Wu's co-authors include Likun Hou, Shengxiang Ren, Yayi He, Caicun Zhou, Xuefei Li, Chao Zhao, Tao Jiang, Wei Wu, Chunxia Su and Da Fu and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Chunyan Wu

63 papers receiving 1.9k citations

Hit Papers

Liquid biopsy in lung can... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunyan Wu China 24 1.0k 992 606 581 263 67 1.9k
Caicun Zhou China 25 1.4k 1.4× 1.3k 1.3× 389 0.6× 360 0.6× 259 1.0× 39 2.0k
Alex Martínez‐Martí Spain 20 1.3k 1.2× 1.2k 1.2× 418 0.7× 272 0.5× 330 1.3× 71 2.0k
Liza C. Villaruz United States 23 1.3k 1.2× 1.2k 1.3× 675 1.1× 422 0.7× 228 0.9× 81 2.0k
Elizabeth Fabre France 22 725 0.7× 583 0.6× 441 0.7× 367 0.6× 305 1.2× 91 1.5k
David A. Braun United States 20 1.1k 1.0× 942 0.9× 878 1.4× 587 1.0× 445 1.7× 92 2.0k
Heidrun Gevensleben Germany 27 904 0.9× 639 0.6× 954 1.6× 537 0.9× 458 1.7× 56 2.1k
S. Cedrés Spain 20 1.3k 1.3× 1.2k 1.2× 363 0.6× 272 0.5× 305 1.2× 80 2.2k
Jianchun Duan China 23 1.0k 1.0× 1.1k 1.1× 511 0.8× 673 1.2× 167 0.6× 96 1.7k
Luc Cabel France 24 1.2k 1.1× 599 0.6× 487 0.8× 924 1.6× 236 0.9× 81 1.9k
Prudence A. Russell Australia 20 786 0.8× 1.1k 1.2× 366 0.6× 354 0.6× 114 0.4× 53 1.8k

Countries citing papers authored by Chunyan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chunyan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunyan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chunyan Wu. A scholar is included among the top collaborators of Chunyan 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 Chunyan Wu. Chunyan 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.
Wang, Haowei, Anwen Xiong, Xiaoxia Chen, et al.. (2024). CXCR1+ neutrophil infiltration orchestrates response to third-generation EGFR-TKI in EGFR mutant non-small-cell lung cancer. Signal Transduction and Targeted Therapy. 9(1). 342–342. 4 indexed citations
2.
Li, Xiaohong, Lu Chen, Rong Ye, Chunyan Wu, & Wenlei Zhuo. (2024). Case report: Malignant epithelioid angiosarcoma in a Chinese female patient. Frontiers in Oncology. 14. 1398656–1398656.
3.
Li, Zongjuan, Du He, Yijun Jia, et al.. (2024). SLC40A1+ macrophages contribute to the immunosuppressive tumor microenvironment in EGFR-mutated lung cancer. Science Bulletin. 70(1). 47–50. 2 indexed citations
5.
Ye, Lingyun, Yan Huang, Fei Zhou, et al.. (2022). Characteristics of Notch signaling pathway and its correlation with immune microenvironment in SCLC. Lung Cancer. 167. 25–33. 18 indexed citations
6.
Xie, Xiaofeng, Chi-Cheng Fu, Lei Lv, et al.. (2022). Deep convolutional neural network-based classification of cancer cells on cytological pleural effusion images. Modern Pathology. 35(5). 609–614. 43 indexed citations
8.
Li, Yi, et al.. (2021). Usefulness of 18F-FDG PET/CT in treatment-naive patients with thymic squamous cell carcinoma. Annals of Nuclear Medicine. 35(9). 1048–1057. 2 indexed citations
9.
Zheng, Qiang, Yan Huang, Xin Zeng, et al.. (2020). Clinicopathological and molecular characteristics associated with PD-L1 expression in non-small cell lung cancer: a large-scale, multi-center, real-world study in China. Journal of Cancer Research and Clinical Oncology. 147(5). 1547–1556. 27 indexed citations
10.
Chen, Peixin, Liping Zhang, Wei Zhang, et al.. (2020). Galectin-9-based immune risk score model helps to predict relapse in stage I–III small cell lung cancer. Journal for ImmunoTherapy of Cancer. 8(2). e001391–e001391. 24 indexed citations
11.
Fang, Yong, Liping Cheng, Junhong Guo, et al.. (2020). Application of endobronchial ultrasound-guided transbronchial needle aspiration in the diagnosis and treatment of mediastinal lymph node tuberculous abscess: a case report and literature review. Journal of Cardiothoracic Surgery. 15(1). 331–331. 3 indexed citations
12.
Dong, Zhengwei, Ziyang Cao, Wei Wu, et al.. (2020). Evaluation of liquid based cytology in detection of EGFR mutation in NSCLC by large samples. Journal of Thoracic Disease. 12(9). 4941–4949. 5 indexed citations
14.
Liu, Di, Ziyang Cao, Wen Xu, et al.. (2019). Enhancement of chemosensitivity by WEE1 inhibition in EGFR-TKIs resistant non-small cell lung cancer. Biomedicine & Pharmacotherapy. 117. 109185–109185. 14 indexed citations
15.
Chen, Enguo, Zhang Bao, Yu Chen, et al.. (2019). Template-ready PCR method for detection of human telomerase reverse transcriptase mRNA in sputum. Analytical Biochemistry. 577. 34–41. 2 indexed citations
16.
Ma, Yu‐Shui, Fei Yu, Xiaoming Zhong, et al.. (2018). miR-30 Family Reduction Maintains Self-Renewal and Promotes Tumorigenesis in NSCLC-Initiating Cells by Targeting Oncogene TM4SF1. Molecular Therapy. 26(12). 2751–2765. 35 indexed citations
17.
Zhang, Qing, Chunyan Wu, Wei Ding, et al.. (2018). Prevalence of ROS1 fusion in Chinese patients with non‐small cell lung cancer. Thoracic Cancer. 10(1). 47–53. 34 indexed citations
18.
Liu, Yanbiao, Shengxiang Ren, Yingying Peng, et al.. (2017). The heterogeneity of PD-L1 expression among the different histological components and metastatic lymph nodes in patients with resected lung adenosquamous carcinoma. Annals of Oncology. 28. x119–x120. 8 indexed citations
19.
Wu, Chunyan, Chao Zhao, Yang Yang, et al.. (2015). High Discrepancy of Driver Mutations in Patients with NSCLC and Synchronous Multiple Lung Ground-Glass Nodules. Journal of Thoracic Oncology. 10(5). 778–783. 108 indexed citations
20.
Ren, Shengxiang, Chunxia Su, Zhaoye Wang, et al.. (2014). Epithelial phenotype as a predictive marker for response to EGFR-TKIs in non-small cell lung cancer patients with wild-type EGFR. International Journal of Cancer. 135(12). 2962–2971. 38 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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