Yuting Kuang

469 total citations
20 papers, 386 citations indexed

About

Yuting Kuang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Yuting Kuang has authored 20 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Cancer Research and 5 papers in Immunology. Recurrent topics in Yuting Kuang's work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (4 papers) and RNA modifications and cancer (3 papers). Yuting Kuang is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (4 papers) and RNA modifications and cancer (3 papers). Yuting Kuang collaborates with scholars based in China, United States and Italy. Yuting Kuang's co-authors include Qiaoming Zhi, Xiaobo Guo, Xiaofeng Xue, Ye Han, Hong Zhao, Nouri Neamati, Bin Yuan, Suhui Yang, Mats Ljungman and Anahita Kyani and has published in prestigious journals such as Journal of the American College of Cardiology, Biomaterials and Biochemical and Biophysical Research Communications.

In The Last Decade

Yuting Kuang

18 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuting Kuang China 10 241 187 47 40 39 20 386
Yujiao Zou China 8 374 1.6× 178 1.0× 34 0.7× 43 1.1× 92 2.4× 10 488
Yuyang Li China 12 275 1.1× 113 0.6× 23 0.5× 24 0.6× 50 1.3× 35 387
Hong‐Gang Xiong China 9 207 0.9× 115 0.6× 20 0.4× 11 0.3× 79 2.0× 10 351
Paul Cheng Hong Kong 9 229 1.0× 205 1.1× 36 0.8× 13 0.3× 64 1.6× 15 535
Chih‐Yung Yang Taiwan 11 215 0.9× 131 0.7× 48 1.0× 28 0.7× 80 2.1× 24 420
Hongfang Sun China 13 395 1.6× 128 0.7× 40 0.9× 24 0.6× 93 2.4× 32 535
Susan Yeyeodu United States 14 181 0.8× 113 0.6× 32 0.7× 70 1.8× 72 1.8× 19 382
Minhee Kim South Korea 9 294 1.2× 154 0.8× 45 1.0× 6 0.1× 90 2.3× 14 460
Xiaojing Shi United States 9 631 2.6× 315 1.7× 59 1.3× 80 2.0× 61 1.6× 16 871

Countries citing papers authored by Yuting Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuting Kuang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuting Kuang. A scholar is included among the top collaborators of Yuting Kuang 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 Yuting Kuang. Yuting Kuang 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.
Yang, Jing, et al.. (2024). Controlled siRNA Release of Nanopolyplex for Effective Targeted Anticancer Therapy in Animal Model. International Journal of Nanomedicine. Volume 19. 1145–1161. 5 indexed citations
2.
Fan, Ruizhi, Xu Teng, & Yuting Kuang. (2024). Research on lncRNA CTBP1-DT as a potential therapeutic target to regulate cell function in colorectal cancer. Discover Oncology. 15(1). 225–225.
3.
Xu, Zhihua, et al.. (2023). LINC01836 Promotes Colorectal Cancer Progression and Functions asceRNA to Target SLC17A9 by Sponging miR-1226-3p. Protein and Peptide Letters. 31(1). 43–60. 4 indexed citations
4.
5.
Desai, Nihar R., Robert M. Stoekenbroek, Yuting Kuang, et al.. (2022). THE COMPARATIVE EFFICACY OF INCLISIRAN, PCSK9 INHIBITING MONOCLONAL ANTIBODIES, AND EZETIMIBE FOR THE TREATMENT OF HIGH CHOLESTEROL IN ADULTS WITH OR AT RISK OF ASCVD: A SYSTEMATIC LITERATURE REVIEW AND NETWORK META-ANALYSIS. Journal of the American College of Cardiology. 79(9). 1551–1551. 2 indexed citations
6.
7.
Zhao, Zhenguo, et al.. (2021). LncRNA FEZF1-AS1 Promotes Multi-Drug Resistance of Gastric Cancer Cells via Upregulating ATG5. Frontiers in Cell and Developmental Biology. 9. 749129–749129. 30 indexed citations
8.
Xu, Zhihua, Fei Liu, Ye Han, et al.. (2020). Molecular Screening for Nigericin Treatment in Pancreatic Cancer by High-Throughput RNA Sequencing. Frontiers in Oncology. 10. 1282–1282. 2 indexed citations
9.
Dai, Chen, Yan Zhang, Hao Ni, Yuting Kuang, & Zhihua Xu. (2020). Prognostic significance of LINC00460 overexpression in solid tumours: a meta-analysis. Postgraduate Medical Journal. 96(1135). 286–295. 5 indexed citations
10.
Kyani, Anahita, Shuzo Tamura, Suhui Yang, et al.. (2017). Discovery and Mechanistic Elucidation of a Class of Protein Disulfide Isomerase Inhibitors for the Treatment of Glioblastoma. ChemMedChem. 13(2). 164–177. 60 indexed citations
11.
Zhi, Qiaoming, Dan Wang, Li Zhang, et al.. (2016). Long Noncoding RNA C21orF96 Promotes the Migration, Invasion and Lymph Node Metastasis in Gastric Cancer. Anti-Cancer Agents in Medicinal Chemistry. 16(9). 1101–1108. 14 indexed citations
12.
Guo, Xiaobo, Qiaoming Zhi, Dan Wang, et al.. (2016). Long noncoding RNA OR3A4 promotes metastasis and tumorigenicity in gastric cancer. Oncotarget. 7(21). 30276–30294. 46 indexed citations
13.
Xue, Xiaofeng, Fei Liu, Ye Han, et al.. (2014). Silencing NPAS2 promotes cell growth and invasion in DLD-1 cells and correlated with poor prognosis of colorectal cancer. Biochemical and Biophysical Research Communications. 450(2). 1058–1062. 31 indexed citations
14.
Wang, Xu, Yuting Kuang, Hao Zhou, et al.. (2014). Evaluation of miR-720 prognostic significance in patients with colorectal cancer. Tumor Biology. 36(2). 719–727. 25 indexed citations
15.
Han, Ye, Yuting Kuang, Xiaofeng Xue, et al.. (2014). NLK, a novel target of miR-199a-3p, functions as a tumor suppressor in colorectal cancer. Biomedicine & Pharmacotherapy. 68(5). 497–505. 34 indexed citations
16.
Pathania, Divya, Yuting Kuang, Mario Sechi, & Nouri Neamati. (2014). Mechanisms underlying the cytotoxicity of a novel quinazolinedione‐based redox modulator, QD232, in pancreatic cancer cells. British Journal of Pharmacology. 172(1). 50–63. 7 indexed citations
17.
Zhi, Qiaoming, Junjie Zhu, Xiaobo Guo, et al.. (2013). Metastasis-related miR-185 is a potential prognostic biomarker for hepatocellular carcinoma in early stage. Biomedicine & Pharmacotherapy. 67(5). 393–398. 40 indexed citations
18.
Xu, Qiongming, Lingchuan Guo, Xinhua Gu, et al.. (2012). Prevention of colorectal cancer liver metastasis by exploiting liver immunity via chitosan-TPP/nanoparticles formulated with IL-12. Biomaterials. 33(15). 3909–3918. 64 indexed citations
19.
Huang, Min, et al.. (2012). [The effect of tympanostomy tube surgery in cleft palate children with secretory otitis media].. PubMed. 26(22). 1017–9. 4 indexed citations
20.
Kuang, Yuting. (2005). Experimental Study of Growth and Metastasis Inhibition Induced by Jinke in Human Pancreatic Adenocarcinoma Cell Line Panc-1. 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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