Chunxia Su

7.3k total citations
181 papers, 4.5k citations indexed

About

Chunxia Su is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Chunxia Su has authored 181 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Oncology, 105 papers in Pulmonary and Respiratory Medicine and 37 papers in Molecular Biology. Recurrent topics in Chunxia Su's work include Lung Cancer Treatments and Mutations (96 papers), Cancer Immunotherapy and Biomarkers (60 papers) and Lung Cancer Research Studies (55 papers). Chunxia Su is often cited by papers focused on Lung Cancer Treatments and Mutations (96 papers), Cancer Immunotherapy and Biomarkers (60 papers) and Lung Cancer Research Studies (55 papers). Chunxia Su collaborates with scholars based in China, United States and United Kingdom. Chunxia Su's co-authors include Shengxiang Ren, Xuefei Li, Chao Zhao, Tao Jiang, Xiaoxia Chen, Fei Zhou, Guanghui Gao, Caicun Zhou, Caicun Zhou and Caicun Zhou and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Chunxia Su

167 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunxia Su China 36 2.6k 2.3k 1.3k 996 541 181 4.5k
Αthanasios Kotsakis Greece 35 2.5k 1.0× 1.3k 0.5× 1.0k 0.8× 910 0.9× 717 1.3× 166 3.6k
Sarah B. Goldberg United States 33 3.0k 1.1× 2.7k 1.1× 1.3k 1.0× 611 0.6× 495 0.9× 143 4.8k
Yasuhiro Koh Japan 32 2.0k 0.8× 1.4k 0.6× 1.1k 0.9× 801 0.8× 194 0.4× 131 3.3k
Yayi He China 31 2.0k 0.8× 1.1k 0.5× 1.2k 0.9× 628 0.6× 1.2k 2.1× 139 3.7k
Rafael López‐López Spain 35 2.2k 0.8× 934 0.4× 1.8k 1.4× 1.7k 1.7× 250 0.5× 242 4.5k
Suxia Luo China 25 2.0k 0.8× 793 0.3× 1.3k 1.0× 745 0.7× 993 1.8× 108 3.5k
Timothy R. Wilson United States 32 2.2k 0.8× 1.1k 0.5× 2.3k 1.8× 961 1.0× 327 0.6× 88 4.3k
Natalie Cook United Kingdom 26 3.4k 1.3× 985 0.4× 1.9k 1.4× 1.4k 1.4× 811 1.5× 125 5.4k
Brian A. Van Tine United States 31 1.7k 0.7× 1.6k 0.7× 1.3k 1.0× 432 0.4× 399 0.7× 141 3.8k
Salvador Martín‐Algarra Spain 30 2.2k 0.8× 928 0.4× 1.3k 1.0× 722 0.7× 1.1k 2.0× 137 3.8k

Countries citing papers authored by Chunxia Su

Since Specialization
Citations

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

Fields of papers citing papers by Chunxia Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunxia Su

This figure shows the co-authorship network connecting the top 25 collaborators of Chunxia Su. A scholar is included among the top collaborators of Chunxia Su 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 Chunxia Su. Chunxia Su 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.
Fang, Chao, et al.. (2025). Novel progress in the application of the small molecule drug carnosine for the treatment of several diseases (Review). International Journal of Molecular Medicine. 56(6). 1–16.
2.
Wang, Ting, Yongsheng Zhou, Xiaohua Wang, et al.. (2025). Bacterial outer membrane vesicles in tumor prevention and treatment: advancements in research and application. Journal of Materials Chemistry B. 13(12). 3786–3805. 1 indexed citations
3.
Chu, Tianqing, Xiaorong Dong, Huijuan Wang, et al.. (2024). Heterogeneity in advanced pulmonary sarcomatoid carcinoma and its efficacy to immune checkpoint inhibitors. European Journal of Cancer. 209. 114260–114260. 2 indexed citations
4.
Liu, Jiayu, et al.. (2024). Aspirin Inhibits Colorectal Cancer via the TIGIT-BCL2-BAX pathway in T Cells. International Journal of Medical Sciences. 21(10). 1990–1999. 2 indexed citations
5.
Su, Chunxia, Collin Kent, Lixia Luo, et al.. (2024). Enhancing Radiotherapy Response via Intratumoral Injection of the TLR9 Agonist CpG to Stimulate CD8 T Cells in an Autochthonous Mouse Model of Sarcoma. International Journal of Radiation Oncology*Biology*Physics. 120(2). e487–e488. 2 indexed citations
6.
Yang, Jianjun, et al.. (2024). Endogenous and exogeneous stimuli-triggered reactive oxygen species evoke long-lived carbon monoxide to fight against lung cancer. Journal of Nanobiotechnology. 22(1). 416–416. 10 indexed citations
7.
8.
Wang, Qi, Chunyu Li, Tracy L. Leong, et al.. (2023). Differential organ-specific tumor response to first-line immune checkpoint inhibitor therapy in non-small cell lung cancer—a retrospective cohort study. Translational Lung Cancer Research. 12(2). 312–321. 9 indexed citations
9.
Wang, Li, Xin Yu, Juan Zhou, & Chunxia Su. (2023). Extracellular Vesicles for Drug Delivery in Cancer Treatment. Biological Procedures Online. 25(1). 28–28. 30 indexed citations
10.
Su, Chunxia, et al.. (2023). Microenvironment and the progress of immunotherapy in clinical practice of NSCLC brain metastasis. Frontiers in Oncology. 12. 1006284–1006284. 4 indexed citations
11.
Ye, Lingyun, et al.. (2023). Influence of Exosomes on Astrocytes in the Pre-Metastatic Niche of Lung Cancer Brain Metastases. Biological Procedures Online. 25(1). 5–5. 16 indexed citations
12.
13.
14.
Zhao, Sha, Guanghui Gao, Wei Li, et al.. (2019). Antibiotics are associated with attenuated efficacy of anti-PD-1/PD-L1 therapies in Chinese patients with advanced non-small cell lung cancer. Lung Cancer. 130. 10–17. 121 indexed citations
15.
Jia, Yijun, Sha Zhao, Tao Jiang, et al.. (2019). Impact of EGFR-TKIs combined with PD-L1 antibody on the lung tissue of EGFR-driven tumor-bearing mice. Lung Cancer. 137. 85–93. 23 indexed citations
16.
Mao, Shiqi, Yanbiao Liu, Fei Zhou, et al.. (2019). P1.01-62 Association of Baseline Pulmonary Fibrosis with the Outcome of PD-1 Inhibitor in Patients with Advanced Non-Small Cell Lung Cancer. Journal of Thoracic Oncology. 14(10). S383–S383. 1 indexed citations
17.
Zhao, Sha, Xuefei Li, Chao Zhao, et al.. (2018). Loss of T790M mutation is associated with early progression to osimertinib in Chinese patients with advanced NSCLC who are harboring EGFR T790M. Lung Cancer. 128. 33–39. 34 indexed citations
18.
Cai, Weijing, Caicun Zhou, Chunxia Su, et al.. (2017). MA15.03 The Predictive Value of Mutation/Neoantigen Burden from ctDNA on the Efficacy of PD-1 Blockade in Advanced NSCLC. Journal of Thoracic Oncology. 12(1). S429–S430. 2 indexed citations
19.
Li, Xuefei, Jie Zhang, Chunxia Su, et al.. (2012). The association between polymorphisms in the DNA nucleotide excision repair genes and RRM1 gene and lung cancer risk. Thoracic Cancer. 3(3). 239–248. 6 indexed citations
20.
Su, Chunxia, Songwen Zhou, Ling Zhang, et al.. (2010). ERCC1, RRM1 and BRCA1 mRNA expression levels and clinical outcome of advanced non-small cell lung cancer. Medical Oncology. 28(4). 1411–1417. 60 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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