Ye Sang

772 total citations · 1 hit paper
27 papers, 584 citations indexed

About

Ye Sang is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Ye Sang has authored 27 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Ye Sang's work include RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Epigenetics and DNA Methylation (4 papers). Ye Sang is often cited by papers focused on RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Epigenetics and DNA Methylation (4 papers). Ye Sang collaborates with scholars based in China, Thailand and India. Ye Sang's co-authors include Shi‐Mei Zhuang, Shijia Ding, Wei Cheng, Yongjie Xu, Yiming Cao, Limin Zheng, Jing Yang, Fengyi Wang, Jian‐Hong Fang and Chen Xie and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Ye Sang

27 papers receiving 577 citations

Hit Papers

Monkeypox virus quadrivalent mRNA vaccine induces immune ... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye Sang China 15 440 155 80 73 68 27 584
Shanshan Lin China 14 238 0.5× 40 0.3× 172 2.1× 66 0.9× 88 1.3× 25 561
Diane Ilsley United States 9 371 0.8× 54 0.3× 96 1.2× 47 0.6× 45 0.7× 9 570
Eleonora Vecchio Italy 17 479 1.1× 222 1.4× 42 0.5× 32 0.4× 152 2.2× 28 719
Duckhyang Shin South Korea 11 341 0.8× 113 0.7× 124 1.6× 24 0.3× 62 0.9× 16 464
Yanming Dong China 15 186 0.4× 76 0.5× 82 1.0× 67 0.9× 35 0.5× 36 466
Fengchao Lang United States 16 423 1.0× 191 1.2× 164 2.0× 17 0.2× 100 1.5× 31 714
Kun Xiao China 16 452 1.0× 109 0.7× 116 1.4× 249 3.4× 58 0.9× 36 733
Johanna Walther Netherlands 9 409 0.9× 35 0.2× 71 0.9× 54 0.7× 76 1.1× 11 565
Amithi Narendran United States 11 427 1.0× 91 0.6× 63 0.8× 9 0.1× 75 1.1× 16 639

Countries citing papers authored by Ye Sang

Since Specialization
Citations

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

Fields of papers citing papers by Ye Sang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Sang

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Sang. A scholar is included among the top collaborators of Ye 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 Ye Sang. Ye Sang 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.
Mao, Lijun, Haofan Yang, Ning Huang, et al.. (2025). MiR-122 promotes metastasis of hepatoma cells by modulating RBM47-integrin alpha V-TGF-beta signaling. PLoS ONE. 20(7). e0327915–e0327915. 1 indexed citations
2.
Sang, Ye, et al.. (2024). Risk stratification by combining common genetic mutations and TERT promoter methylation in papillary thyroid cancer. Endocrine. 85(1). 304–312. 6 indexed citations
3.
Hu, Guanghui, et al.. (2024). TERT upstream promoter methylation regulates TERT expression and acts as a therapeutic target in TERT promoter mutation-negative thyroid cancer. Cancer Cell International. 24(1). 271–271. 3 indexed citations
4.
Sang, Ye, Mengke Chen, Shubin Hong, et al.. (2024). The ERK inhibitor GDC-0994 selectively inhibits growth of BRAF mutant cancer cells. Translational Oncology. 45. 101991–101991. 6 indexed citations
5.
Hu, Guanghui, Jun Yu, Q. Ping Dou, et al.. (2024). High Prevalence of TBC1D12 5′UTR Mutations in Anaplastic Thyroid Cancer. Thyroid. 35(1). 115–119. 3 indexed citations
6.
Zhang, Honglei, Yiming Cao, Ye Sang, et al.. (2023). Novel Ionizable Lipid Nanoparticles for SARS‐CoV‐2 Omicron mRNA Delivery. Advanced Healthcare Materials. 12(13). e2202590–e2202590. 29 indexed citations
7.
Sang, Ye, Zhen Zhang, Fan Liu, et al.. (2023). Monkeypox virus quadrivalent mRNA vaccine induces immune response and protects against vaccinia virus. Signal Transduction and Targeted Therapy. 8(1). 172–172. 80 indexed citations breakdown →
8.
Chen, Mengke, Ye Sang, Yulu Chen, et al.. (2023). Methylation-Mediated Silencing of ATF3 Promotes Thyroid Cancer Progression by Regulating Prognostic Genes in the MAPK and PI3K/AKT Pathways. Thyroid. 33(12). 1441–1454. 18 indexed citations
9.
Chen, Mengke, Ye Sang, Wenting Jiang, et al.. (2023). Highly sensitive droplet digital PCR for detection of RET fusion in papillary thyroid cancer. BMC Cancer. 23(1). 363–363. 1 indexed citations
10.
Wei, Hongjuan, Zhen Rong, Liyan Liu, et al.. (2023). Streamlined and on-demand preparation of mRNA products on a universal integrated platform. Microsystems & Nanoengineering. 9(1). 97–97. 2 indexed citations
11.
Cao, Yiming, Ye Sang, Haitao Lü, et al.. (2023). Dendritic Cell‐Mimicking Nanoparticles Promote mRNA Delivery to Lymphoid Organs. Advanced Science. 10(33). e2302423–e2302423. 28 indexed citations
12.
Zhang, Honglei, Yiming Cao, Ye Sang, et al.. (2023). Novel Ionizable Lipid Nanoparticles for SARS‐CoV‐2 Omicron mRNA Delivery (Adv. Healthcare Mater. 13/2023). Advanced Healthcare Materials. 12(13). 3 indexed citations
13.
Xie, Chen, Fengyi Wang, Ye Sang, et al.. (2022). Mitochondrial Micropeptide STMP1 Enhances Mitochondrial Fission to Promote Tumor Metastasis. Cancer Research. 82(13). 2431–2443. 58 indexed citations
14.
Sang, Ye, Jinyu Liu, Fengyi Wang, et al.. (2022). Mitochondrial micropeptide STMP1 promotes G1/S transition by enhancing mitochondrial complex IV activity. Molecular Therapy. 30(8). 2844–2855. 25 indexed citations
15.
Li, Lei, Ye Sang, Xin Wang, et al.. (2021). Rational preparation and application of a mRNA delivery system with cytidinyl/cationic lipid. Journal of Controlled Release. 340. 114–124. 21 indexed citations
16.
Zhang, Luyao, Dan Xiong, Qian Liu, et al.. (2021). Genome-Wide Histone H3K27 Acetylation Profiling Identified Genes Correlated With Prognosis in Papillary Thyroid Carcinoma. Frontiers in Cell and Developmental Biology. 9. 682561–682561. 14 indexed citations
17.
Xu, Yongjie, Dandan Li, Wei Cheng, et al.. (2016). Chemiluminescence imaging for microRNA detection based on cascade exponential isothermal amplification machinery. Analytica Chimica Acta. 936. 229–235. 47 indexed citations
18.
Xu, Yongjie, Ye Sang, Yujian Li, et al.. (2016). Bis-three-way junction nanostructure and DNA machineries for ultrasensitive and specific detection of BCR/ABL fusion gene by chemiluminescence imaging. Scientific Reports. 6(1). 32370–32370. 18 indexed citations
19.
Ding, Xiaojuan, Yihua Wang, Wei Cheng, et al.. (2016). Aptamer based electrochemical adenosine triphosphate assay based on a target-induced dendritic DNA nanoassembly. Microchimica Acta. 184(2). 431–438. 20 indexed citations
20.
Zeng, Chunxian, Yunlong Wang, Chen Xie, et al.. (2015). Identification of a novel TGF-β-miR-122-fibronectin 1/serum response factor signaling cascade and its implication in hepatic fibrogenesis. Oncotarget. 6(14). 12224–12233. 61 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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