Chuanyuan Wei

2.4k total citations · 1 hit paper
52 papers, 1.6k citations indexed

About

Chuanyuan Wei is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Chuanyuan Wei has authored 52 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 22 papers in Oncology and 16 papers in Cancer Research. Recurrent topics in Chuanyuan Wei's work include Cancer Immunotherapy and Biomarkers (10 papers), MicroRNA in disease regulation (8 papers) and Immunotherapy and Immune Responses (8 papers). Chuanyuan Wei is often cited by papers focused on Cancer Immunotherapy and Biomarkers (10 papers), MicroRNA in disease regulation (8 papers) and Immunotherapy and Immune Responses (8 papers). Chuanyuan Wei collaborates with scholars based in China, Ethiopia and India. Chuanyuan Wei's co-authors include Xuan Yang, Pengfei Zhang, Rui Peng, Jia Fan, Ai‐Wu Ke, Jia‐Cheng Lu, Chao Gao, Fazhi Qi, Guo‐Ming Shi and Meng-Xuan Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Oncogene.

In The Last Decade

Chuanyuan Wei

48 papers receiving 1.6k citations

Hit Papers

PKCα/ZFP64/CSF1 axis resets the tumor microenvironment an... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuanyuan Wei China 19 1.1k 729 343 261 241 52 1.6k
Guichun Huang China 24 959 0.9× 636 0.9× 655 1.9× 279 1.1× 239 1.0× 53 1.7k
Marc D. Bullock United Kingdom 21 1.2k 1.1× 934 1.3× 475 1.4× 195 0.7× 185 0.8× 30 1.8k
Jinrong Zhu China 25 1.1k 1.0× 664 0.9× 251 0.7× 201 0.8× 183 0.8× 43 1.5k
Qiong Shao China 17 1.3k 1.1× 1.1k 1.5× 446 1.3× 125 0.5× 219 0.9× 41 1.8k
Leyuan Zhou China 15 843 0.8× 762 1.0× 288 0.8× 259 1.0× 124 0.5× 37 1.3k
Jiewei Chen China 17 901 0.8× 603 0.8× 275 0.8× 146 0.6× 197 0.8× 44 1.3k
Ting Wei China 24 946 0.9× 540 0.7× 529 1.5× 271 1.0× 338 1.4× 55 1.6k
Fulin Qiang China 23 814 0.7× 556 0.8× 349 1.0× 193 0.7× 126 0.5× 37 1.3k
Zhihua Li China 23 919 0.8× 808 1.1× 738 2.2× 254 1.0× 179 0.7× 50 1.6k
Masayuki Hiraki Japan 17 825 0.7× 403 0.6× 464 1.4× 228 0.9× 271 1.1× 58 1.3k

Countries citing papers authored by Chuanyuan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Chuanyuan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuanyuan Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Chuanyuan Wei. A scholar is included among the top collaborators of Chuanyuan Wei 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 Chuanyuan Wei. Chuanyuan Wei 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, Lu, et al.. (2025). Application of adoptive cell therapy in malignant melanoma. Journal of Translational Medicine. 23(1). 102–102. 2 indexed citations
2.
Hang, Xiang, Rongkui Luo, Yunzhi Wang, et al.. (2024). Proteogenomic insights into the biology and treatment of pan-melanoma. Cell Discovery. 10(1). 78–78. 3 indexed citations
3.
Gao, Zixu, et al.. (2024). Insights for the immunotherapy in malignant melanoma: a new revolution. 3(1). 2 indexed citations
4.
Wang, Lu, Zixu Gao, Ming Ren, et al.. (2024). Melanoma Derived Exosomes Amplify Radiotherapy Induced Abscopal Effect via IRF7/I‐IFN Axis in Macrophages. Advanced Science. 11(13). e2304991–e2304991. 17 indexed citations
5.
Gao, Zixu, Lu Wang, Zucheng Luo, et al.. (2024). TCTN1 Induces Fatty Acid Oxidation to Promote Melanoma Metastasis. Cancer Research. 85(1). 84–100. 6 indexed citations
6.
Zhu, Yu, Lu Wang, Zixu Gao, et al.. (2024). An advanced comprehensive muti-cell-type-specific model for predicting anti-PD-1 therapeutic effect in melanoma. Theranostics. 14(5). 2127–2150. 5 indexed citations
7.
Zheng, Yi-Min, Yining Wang, Lu Zhou, et al.. (2023). PGAM1 Inhibition Promotes HCC Ferroptosis and Synergizes with Anti‐PD‐1 Immunotherapy. Advanced Science. 10(29). e2301928–e2301928. 54 indexed citations
8.
Song, Wenyu, Hongye Wang, Lu Wang, et al.. (2023). Decoding the metastatic potential and optimal postoperative adjuvant therapy of melanoma based on metastasis score. Cell Death Discovery. 9(1). 397–397. 7 indexed citations
9.
Guo, Xiaojun, Xiaoyong Huang, Xuan Yang, et al.. (2023). Loss of 5-hydroxymethylcytosine induces chemotherapy resistance in hepatocellular carcinoma via the 5-hmC/PCAF/AKT axis. Cell Death and Disease. 14(2). 79–79. 14 indexed citations
10.
Dong, Zhao‐Ru, Jiabin Cai, Guo‐Ming Shi, et al.. (2023). Oncogenic miR-93-5p/Gal-9 axis drives CD8 (+) T-cell inactivation and is a therapeutic target for hepatocellular carcinoma immunotherapy. Cancer Letters. 564. 216186–216186. 10 indexed citations
11.
Wang, Lu, Meng-Xuan Zhu, Ming Ren, et al.. (2022). TRIP13/FLNA Complex Promotes Tumor Progression and Is Associated with Unfavorable Outcomes in Melanoma. Journal of Oncology. 2022. 1–14. 8 indexed citations
12.
Zhang, Simin, et al.. (2021). M2-polarized macrophages mediate wound healing by regulating connective tissue growth factor via AKT, ERK1/2, and STAT3 signaling pathways. Molecular Biology Reports. 48(9). 6443–6456. 44 indexed citations
13.
Wei, Chuanyuan, et al.. (2020). miR-3609 Decelerates the Clearance of Sorafenib in Hepatocellular Carcinoma Cells by Targeting EPAS-1 and Reducing the Activation of the Pregnane X Receptor Pathway. SHILAP Revista de lepidopterología. 1 indexed citations
14.
15.
Huang, Xiaoyong, Pengfei Zhang, Chuanyuan Wei, et al.. (2020). Circular RNA circMET drives immunosuppression and anti-PD1 therapy resistance in hepatocellular carcinoma via the miR-30-5p/snail/DPP4 axis. Molecular Cancer. 19(1). 92–92. 178 indexed citations
16.
Peng, Rui, Pengfei Zhang, Xuan Yang, et al.. (2019). Overexpression of RNF38 facilitates TGF-β signaling by Ubiquitinating and degrading AHNAK in hepatocellular carcinoma. Journal of Experimental & Clinical Cancer Research. 38(1). 113–113. 45 indexed citations
17.
Wei, Chuanyuan, Yuye Zhang, Yan Zhao, et al.. (2019). CCL14 serves as a novel prognostic factor and tumor suppressor of HCC by modulating cell cycle and promoting apoptosis. Cell Death and Disease. 10(11). 796–796. 62 indexed citations
18.
Wei, Chuanyuan, et al.. (2019). <p>Elevated nuclear auto-antigenic sperm protein promotes melanoma progression by inducing cell proliferation</p>. OncoTargets and Therapy. Volume 12. 2105–2113. 2 indexed citations
19.
Wei, Chuanyuan, Pengfei Zhang, Dongmei Gao, et al.. (2019). Elevated TRIP13 drives the AKT/mTOR pathway to induce the progression of hepatocellular carcinoma via interacting with ACTN4. Journal of Experimental & Clinical Cancer Research. 38(1). 409–409. 58 indexed citations
20.
Wei, Chuanyuan, Lu Wang, Meng-Xuan Zhu, et al.. (2019). TRIM44 activates the AKT/mTOR signal pathway to induce melanoma progression by stabilizing TLR4. Journal of Experimental & Clinical Cancer Research. 38(1). 137–137. 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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