Yang Sang

440 total citations
10 papers, 310 citations indexed

About

Yang Sang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Yang Sang has authored 10 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Yang Sang's work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers) and Extracellular vesicles in disease (2 papers). Yang Sang is often cited by papers focused on MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers) and Extracellular vesicles in disease (2 papers). Yang Sang collaborates with scholars based in China, Japan and Sweden. Yang Sang's co-authors include Lina Gu, Meixiang Sang, Lingjiao Meng, Fei Liu, Yingchao Ju, Ping’an Ding, Xiaochong Zhang, Yang Zheng, Baoen Shan and Yunyan Wu and has published in prestigious journals such as Neuroscience, American Journal Of Pathology and Molecular Cancer.

In The Last Decade

Yang Sang

9 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yang Sang China	7	243	212	41	28	26	10	310
Yadi Xu China	8	211 0.9×	148 0.7×	17 0.4×	16 0.6×	25 1.0×	10	268
Silvia Moncini Italy	10	301 1.2×	219 1.0×	10 0.2×	14 0.5×	27 1.0×	11	418
Olatz Arrizabalaga Spain	6	176 0.7×	117 0.6×	18 0.4×	16 0.6×	27 1.0×	7	282
Muzhou Wu United States	8	182 0.7×	52 0.2×	57 1.4×	18 0.6×	42 1.6×	11	280
Zhihan Zhu China	6	246 1.0×	173 0.8×	11 0.3×	39 1.4×	9 0.3×	8	301
Xuerong Sun China	11	257 1.1×	79 0.4×	23 0.6×	17 0.6×	25 1.0×	20	356
Marc Wiedner Austria	9	179 0.7×	38 0.2×	20 0.5×	27 1.0×	22 0.8×	12	242
Renata E. Gordon United States	6	163 0.7×	74 0.3×	17 0.4×	50 1.8×	82 3.2×	7	286
Yasunari Yamanaka Japan	9	221 0.9×	93 0.4×	50 1.2×	9 0.3×	14 0.5×	14	320

Countries citing papers authored by Yang Sang

Since Specialization

Citations

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

Fields of papers citing papers by Yang Sang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Sang

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Sang. A scholar is included among the top collaborators of Yang Sang 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 Yang Sang. Yang Sang 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

Wu, Lixia, Lina Gu, Yang Zheng, et al.. (2025). CircPRKCA facilitates esophageal squamous cell carcinoma metastasis via m5C-dependent CSF2 mRNA stabilization. Journal of Translational Medicine. 23(1). 385–385. 2 indexed citations

Ren, Shuguang, Yang Sang, Yueyang Hu, et al.. (2024). miR-30d-5p inhibits proliferation, invasion and migration of breast cancer cells by targeting SERPINE1 and promoting fatty acid β-oxidation. Aging. 16(7). 5856–5865.

Gu, Lina, Yang Sang, Yang Zheng, et al.. (2022). circCYP24A1 facilitates esophageal squamous cell carcinoma progression through binding PKM2 to regulate NF-κB-induced CCL5 secretion. Molecular Cancer. 21(1). 217–217. 37 indexed citations

Meng, Lingjiao, Yang Sang, Ping’an Ding, et al.. (2022). Circular RNA circCCDC85A inhibits breast cancer progression via acting as a miR-550a-5p sponge to enhance MOB1A expression. Breast Cancer Research. 24(1). 1–1. 30 indexed citations

Sang, Yang, Yang Zheng, Lina Gu, et al.. (2022). circRNF10 Regulates Tumorigenic Properties and Natural Killer Cell-Mediated Cytotoxicity against Breast Cancer through the miR-934/PTEN/PI3k-Akt Axis. Cancers. 14(23). 5862–5862. 6 indexed citations

Meng, Lingjiao, Yang Zheng, Sihua Liu, et al.. (2021). ZEB1 represses biogenesis of circ-DOCK5 to facilitate metastasis in esophageal squamous cell carcinoma via a positive feedback loop with TGF-β. Cancer Letters. 519. 117–129. 34 indexed citations

Hamashima, Takeru, Yoko Ishii, Yang Sang, et al.. (2020). Oligodendrogenesis and Myelin Formation in the Forebrain Require Platelet-derived Growth Factor Receptor-alpha. Neuroscience. 436. 11–26. 7 indexed citations

Ishii, Yoko, Seiji Yamamoto, Takeru Hamashima, et al.. (2019). Powerful Homeostatic Control of Oligodendroglial Lineage by PDGFRα in Adult Brain. Cell Reports. 27(4). 1073–1089.e5. 51 indexed citations

Sang, Meixiang, Lingjiao Meng, Yang Sang, et al.. (2018). Circular RNA ciRS-7 accelerates ESCC progression through acting as a miR-876-5p sponge to enhance MAGE-A family expression. Cancer Letters. 426. 37–46. 132 indexed citations

10.

Yang, Zheng, Seiji Yamamoto, Yoko Ishii, et al.. (2016). Glioma-Derived Platelet-Derived Growth Factor-BB Recruits Oligodendrocyte Progenitor Cells via Platelet-Derived Growth Factor Receptor-α and Remodels Cancer Stroma. American Journal Of Pathology. 186(5). 1081–1091. 11 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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