Like Yang

543 total citations
10 papers, 348 citations indexed

About

Like Yang is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Like Yang has authored 10 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cancer Research and 2 papers in Epidemiology. Recurrent topics in Like Yang's work include Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (4 papers) and MicroRNA in disease regulation (4 papers). Like Yang is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (4 papers) and MicroRNA in disease regulation (4 papers). Like Yang collaborates with scholars based in China. Like Yang's co-authors include Linli Tian, Yushan Li, Bingrui Yan, Qiuying Li, Yanan Sun, Xin Wang, Jingting Wang, Peng Wang, Rui Zhao and Ming Liu and has published in prestigious journals such as Journal of Cellular and Molecular Medicine, Frontiers in Oncology and Journal of Experimental & Clinical Cancer Research.

In The Last Decade

Like Yang

10 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Like Yang China	9	313	237	32	27	22	10	348
Bingrui Yan China	6	269 0.9×	182 0.8×	26 0.8×	29 1.1×	19 0.9×	8	290
Yi Miao China	5	218 0.7×	162 0.7×	29 0.9×	22 0.8×	19 0.9×	6	260
Junge Deng China	7	345 1.1×	261 1.1×	47 1.5×	13 0.5×	19 0.9×	12	393
Biao Que China	6	378 1.2×	237 1.0×	33 1.0×	63 2.3×	12 0.5×	6	408
Xiaoling Gan China	5	339 1.1×	271 1.1×	26 0.8×	26 1.0×	13 0.6×	9	393
Xiaotong Bo China	5	393 1.3×	334 1.4×	18 0.6×	13 0.5×	19 0.9×	5	418
Jiangluyi Cai China	3	216 0.7×	113 0.5×	29 0.9×	10 0.4×	58 2.6×	4	310
Alcida Karz United States	2	238 0.8×	187 0.8×	32 1.0×	9 0.3×	26 1.2×	6	263
Zhoulan Bai China	4	314 1.0×	179 0.8×	61 1.9×	53 2.0×	6 0.3×	8	362

Countries citing papers authored by Like Yang

Since Specialization

Citations

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

Fields of papers citing papers by Like Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Like Yang

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

All Works

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10 of 10 papers shown

Yang, Like, Bingrui Yan, Lingmei Qu, et al.. (2023). IGF2BP3 Regulates TMA7-mediated Autophagy and Cisplatin Resistance in Laryngeal Cancer via m6A RNA Methylation. International Journal of Biological Sciences. 19(5). 1382–1400. 23 indexed citations

Tian, Linli, et al.. (2022). LncRNA TP73‐AS1 promotes nasopharyngeal carcinoma progression through targeting miR-342-3p and M2 polarization via exosomes. Cancer Cell International. 22(1). 16–16. 23 indexed citations

Wang, Xin, Linli Tian, Yushan Li, et al.. (2021). RBM15 facilitates laryngeal squamous cell carcinoma progression by regulating TMBIM6 stability through IGF2BP3 dependent. Journal of Experimental & Clinical Cancer Research. 40(1). 80–80. 176 indexed citations

Wang, Xin, Tianyi Wu, Peng Wang, et al.. (2020). Circular RNA 103862 Promotes Proliferation and Invasion of Laryngeal Squamous Cell Carcinoma Cells Through the miR-493-5p/GOLM1 Axis. Frontiers in Oncology. 10. 1064–1064. 17 indexed citations

Yang, Like, et al.. (2020). LncRNA MSC-AS1 aggravates nasopharyngeal carcinoma progression by targeting miR-524-5p/nuclear receptor subfamily 4 group A member 2 (NR4A2). Cancer Cell International. 20(1). 138–138. 20 indexed citations

Wu, Tianyi, Bingrui Yan, Xuan Kan, et al.. (2020). A Novel LncRNA, AC091729.7 Promotes Sinonasal Squamous Cell Carcinomas Proliferation and Invasion Through Binding SRSF2. Frontiers in Oncology. 9. 1575–1575. 14 indexed citations

Wang, Xin, Qianqian Jin, Junyi Zhang, et al.. (2020). Regulation of laryngeal squamous cell cancer progression by the lncRNA RP11‐159K7.2/miR‐206/DNMT3A axis. Journal of Cellular and Molecular Medicine. 24(12). 6781–6795. 20 indexed citations

Wang, Peng, Jin Meng, Like Yang, et al.. (2018). A three-lncRNA expression signature predicts survival in head and neck squamous cell carcinoma (HNSCC). Bioscience Reports. 38(6). 22 indexed citations

Qu, Lingmei, Jin Meng, Like Yang, et al.. (2018). Expression of long non-coding RNA HOXA11-AS is correlated with progression of laryngeal squamous cell carcinoma.. PubMed. 10(2). 573–580. 30 indexed citations

10.

DiMaggio, Craig L., Huali Wang, Manhoe Kim, et al.. (2012). Catalytic Conversion of Triglycerides to Liquid Biofuels Through Transesterification, Cracking, and Hydrotreatment Processes. 1(1). 41–51. 3 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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