Yemei Song

706 total citations
15 papers, 482 citations indexed

About

Yemei Song is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yemei Song has authored 15 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yemei Song's work include RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (7 papers) and Circular RNAs in diseases (3 papers). Yemei Song is often cited by papers focused on RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (7 papers) and Circular RNAs in diseases (3 papers). Yemei Song collaborates with scholars based in China and United States. Yemei Song's co-authors include Ming Yang, Nasha Zhang, Mengyu Xie, Huaixin Xing, Jibing Liu, Xingwu Wang, Ling Wei, Liyan Lv, Yeyang Xu and Yue Shen and has published in prestigious journals such as Oncogene, Biochemical Pharmacology and Molecular Cancer.

In The Last Decade

Yemei Song

15 papers receiving 478 citations

Peers

Yemei Song
Yemei Song
Citations per year, relative to Yemei Song Yemei Song (= 1×) peers Qiangnu Zhang

Countries citing papers authored by Yemei Song

Since Specialization
Citations

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

Fields of papers citing papers by Yemei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yemei Song

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

All Works

15 of 15 papers shown
1.
Zheng, Yan, Mengyu Xie, Nasha Zhang, et al.. (2021). miR-1262 suppresses gastric cardia adenocarcinoma via targeting oncogene ULK1. Journal of Cancer. 12(4). 1231–1239. 9 indexed citations
2.
Song, Yemei, Huaixin Xing, Liqing Zhou, Nasha Zhang, & Ming Yang. (2021). LncRNA H19 modulated by miR-146b-3p/miR-1539-mediated allelic regulation in transarterial chemoembolization of hepatocellular carcinoma. Archives of Toxicology. 95(9). 3063–3070. 10 indexed citations
3.
Tian, Baoqing, Jiandong Liu, Nasha Zhang, et al.. (2021). Oncogenic SNORD12B activates the AKT-mTOR-4EBP1 signaling in esophageal squamous cell carcinoma via nucleus partitioning of PP-1α. Oncogene. 40(21). 3734–3747. 21 indexed citations
4.
Zheng, Yan, Guangfu Jin, Haiyang Guo, et al.. (2021). LncPSCA in the 8q24.3 risk locus drives gastric cancer through destabilizing DDX5. EMBO Reports. 22(11). e52707–e52707. 27 indexed citations
6.
Song, Yemei, Yeyang Xu, Yue Shen, et al.. (2020). Identification of Leukocyte telomere length-related genetic variants contributing to predisposition of Esophageal Squamous Cell Carcinoma. Journal of Cancer. 11(17). 5025–5031. 6 indexed citations
7.
Song, Yemei, et al.. (2020). 6q25.1-q25.3 Microdeletion in a Chinese Girl. Journal of Clinical Research in Pediatric Endocrinology. 13(1). 109–113. 1 indexed citations
8.
Zhang, Nasha, Yemei Song, Yeyang Xu, et al.. (2020). MED13L integrates Mediator-regulated epigenetic control into lung cancer radiosensitivity. Theranostics. 10(20). 9378–9394. 24 indexed citations
9.
Yuan, Jupeng, Yemei Song, Wenting Pan, et al.. (2020). LncRNA SLC26A4-AS1 suppresses the MRN complex-mediated DNA repair signaling and thyroid cancer metastasis by destabilizing DDX5. Oncogene. 39(43). 6664–6676. 62 indexed citations
10.
Yuan, Jupeng, Huaixin Xing, Yemei Song, et al.. (2020). EPB41 suppresses the Wnt/β-catenin signaling in non-small cell lung cancer by sponging ALDOC. Cancer Letters. 499. 255–264. 24 indexed citations
11.
Shen, Zheng, et al.. (2020). Differences of DNA methylation patterns in the placenta of large for gestational age infant. Medicine. 99(39). e22389–e22389. 9 indexed citations
12.
Zhang, Nasha, Li Zhang, Yemei Song, et al.. (2020). Oncogene HSPH1 modulated by the rs2280059 genetic variant diminishes EGFR-TKIs efficiency in advanced lung adenocarcinoma. Carcinogenesis. 41(9). 1195–1202. 15 indexed citations
13.
Zhang, Nasha, Mengyu Xie, Yemei Song, et al.. (2019). DACT2 modulated by TFAP2A-mediated allelic transcription promotes EGFR-TKIs efficiency in advanced lung adenocarcinoma. Biochemical Pharmacology. 172. 113772–113772. 20 indexed citations
14.
Wei, Ling, Xingwu Wang, Liyan Lv, et al.. (2019). The emerging role of microRNAs and long noncoding RNAs in drug resistance of hepatocellular carcinoma. Molecular Cancer. 18(1). 147–147. 246 indexed citations
15.
Chen, Xuefei, Yemei Song, & Chaochun Zou. (2019). [Schaaf-Yang syndrome caused by the new variation of MAGEL2 gene in a case].. PubMed. 57(2). 155–157. 1 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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