Wei Song

3.2k total citations
97 papers, 2.3k citations indexed

About

Wei Song is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Wei Song has authored 97 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 45 papers in Cancer Research and 36 papers in Oncology. Recurrent topics in Wei Song's work include Cancer-related molecular mechanisms research (27 papers), Circular RNAs in diseases (15 papers) and RNA modifications and cancer (14 papers). Wei Song is often cited by papers focused on Cancer-related molecular mechanisms research (27 papers), Circular RNAs in diseases (15 papers) and RNA modifications and cancer (14 papers). Wei Song collaborates with scholars based in China, United States and Australia. Wei Song's co-authors include Shubing Zou, Tao Fu, Kai Wang, Jun Ren, Chuan Tian, Can Kong, Yongjun Guan, Jian-ying Ma, Zi−Li Huang and Zi Chen and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Wei Song

94 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Song China 28 1.3k 914 616 486 362 97 2.3k
Yanqing Gong China 30 1.4k 1.0× 884 1.0× 507 0.8× 502 1.0× 430 1.2× 115 2.4k
Jian Dong China 26 939 0.7× 527 0.6× 586 1.0× 306 0.6× 454 1.3× 96 2.4k
Chengxue Dang China 27 916 0.7× 626 0.7× 534 0.9× 450 0.9× 417 1.2× 106 2.0k
Hao Weng China 25 989 0.8× 521 0.6× 385 0.6× 276 0.6× 473 1.3× 56 2.0k
Hung‐Ming Lam United States 24 1.1k 0.8× 494 0.5× 770 1.3× 766 1.6× 315 0.9× 57 2.5k
Benkang Shi China 28 851 0.7× 375 0.4× 512 0.8× 501 1.0× 535 1.5× 160 2.3k
Taro Sakamoto Japan 20 828 0.6× 612 0.7× 559 0.9× 973 2.0× 510 1.4× 93 2.4k
Tao Tian China 26 1.0k 0.8× 645 0.7× 499 0.8× 296 0.6× 140 0.4× 107 2.0k
Lin Jiang China 25 941 0.7× 637 0.7× 352 0.6× 258 0.5× 343 0.9× 98 1.9k
Vincent C. Daniel United States 14 1.3k 1.0× 314 0.3× 631 1.0× 501 1.0× 497 1.4× 23 2.8k

Countries citing papers authored by Wei Song

Since Specialization
Citations

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

Fields of papers citing papers by Wei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Song. A scholar is included among the top collaborators of Wei Song 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 Wei Song. Wei Song 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.
Jiang, Yu, et al.. (2025). Condensed tannins from Salix babylonica L. leaves induce apoptosis of human ovarian cancer cells through mitochondrial and PI3K/AKT/ERK signaling pathways. International Journal of Biological Macromolecules. 309(Pt 1). 142635–142635. 1 indexed citations
2.
Song, Wei, et al.. (2024). CircFBXW4 Suppresses Colorectal Cancer Progression by Regulating the MiR‐338‐5p/SLC5A7 Axis. Advanced Science. 11(18). e2300129–e2300129. 12 indexed citations
3.
Li, Jiazheng, Can Kong, Wei Song, & Tao Fu. (2023). Identification of Cuproptosis-Related Subtypes, Establishment of a Prognostic Signature and Characterization of the Tumor Microenvironment in Gastric Cancer. International Journal of General Medicine. Volume 16. 1631–1652. 4 indexed citations
4.
Li, Zhuo, Ying Jiang, Jian Liu, et al.. (2023). Exosomes from PYCR1 knockdown bone marrow mesenchymal stem inhibits aerobic glycolysis and the growth of bladder cancer cells via regulation of the EGFR/PI3K/AKT pathway. International Journal of Oncology. 63(1). 18 indexed citations
5.
Li, Dan, Tao Yu, Jingjing Han, et al.. (2022). Prognostic Value and Immunological Role of KIFC1 in Hepatocellular Carcinoma. Frontiers in Molecular Biosciences. 8. 10 indexed citations
6.
Lu, Zongliang, Yaowen Zhang, Long Li, et al.. (2021). L-carnitine ameliorates the muscle wasting of cancer cachexia through the AKT/FOXO3a/MaFbx axis. Nutrition & Metabolism. 18(1). 98–98. 28 indexed citations
7.
Huang, Tao, et al.. (2021). Neuroendocrine tumor of thoracic spine: case report and literature review. Translational Cancer Research. 10(2). 1177–1182. 1 indexed citations
8.
Song, Wei, et al.. (2021). Identification of stem cell-related subtypes and risk scoring for gastric cancer based on stem genomic profiling. Stem Cell Research & Therapy. 12(1). 563–563. 11 indexed citations
9.
Ye, Ying, Huaqing Zhong, Wei Song, et al.. (2021). Propranolol inhibits the angiogenic capacity of hemangioma endothelia via blocking β-adrenoceptor in mast cell. Pediatric Research. 92(2). 424–429. 7 indexed citations
11.
Ye, Lei, Wei Song, Lei Jiang, et al.. (2019). A nomogram for predicting the presence of germline mutations in pheochromocytomas and paragangliomas. Endocrine. 66(3). 666–672. 10 indexed citations
12.
Wang, Yangyang, Chunchao Zhu, Wei Song, et al.. (2018). PD-L1 Expression and CD8+ T Cell Infiltration Predict a Favorable Prognosis in Advanced Gastric Cancer. Journal of Immunology Research. 2018. 1–10. 59 indexed citations
13.
Wang, Jiajia, Zongliang Lu, Yanwu Li, et al.. (2018). Evaluation of the anticancer and anti‐metastasis effects of novel synthetic sodium channel blockers in prostate cancer cells in vitro and in vivo. The Prostate. 79(1). 62–72. 17 indexed citations
14.
Yang, Kai, Fan Zhang, Peng Han, et al.. (2018). Metabolomics approach for predicting response to neoadjuvant chemotherapy for colorectal cancer. Metabolomics. 14(9). 110–110. 24 indexed citations
15.
Song, Wei, et al.. (2018). Comprehensive analysis of long noncoding RNA-associated competing endogenous RNA network in cholangiocarcinoma. Biochemical and Biophysical Research Communications. 506(4). 1004–1012. 17 indexed citations
16.
Song, Wei, et al.. (2018). Development and validation of a nomogram for predicting survival in patients with gastrointestinal stromal tumours. European Journal of Surgical Oncology. 44(10). 1657–1665. 45 indexed citations
17.
Song, Wei, Kai Wang, & Shubing Zou. (2017). UCA1 lncRNA in metastases and prognosis. Panminerva Medica. 59(3). 278–279. 5 indexed citations
18.
Song, Wei, et al.. (2016). Prognostic value of the lymphocyte monocyte ratio in patients with colorectal cancer. Medicine. 95(49). e5540–e5540. 35 indexed citations
19.
Wang, Yanru, et al.. (2014). Lin28B Expression Correlates with Aggressive Clinicopathological Characteristics in Breast Invasive Ductal Carcinoma. Cancer Biotherapy and Radiopharmaceuticals. 29(5). 215–220. 22 indexed citations
20.
Niu, Jun, Wei Song, Ming Yan, et al.. (2010). Transvaginal laparoscopically assisted endoscopic cholecystectomy: preliminary clinical results for a series of 43 cases in China. Surgical Endoscopy. 25(4). 1281–1286. 31 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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