Yuting Kuang

600 total citations
19 papers, 433 citations indexed

About

Yuting Kuang is a scholar working on Molecular Biology, Cancer Research and Astronomy and Astrophysics. According to data from OpenAlex, Yuting Kuang has authored 19 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cancer Research and 2 papers in Astronomy and Astrophysics. Recurrent topics in Yuting Kuang's work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers) and Epigenetics and DNA Methylation (3 papers). Yuting Kuang is often cited by papers focused on MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers) and Epigenetics and DNA Methylation (3 papers). Yuting Kuang collaborates with scholars based in China, United States and Italy. Yuting Kuang's co-authors include Nouri Neamati, Mats Ljungman, Ye Han, Qiaoming Zhi, Daiwei Wan, Xiaofeng Xue, Soma Samanta, Pietro Taverna, Bikash Debnath and Suhui Yang and has published in prestigious journals such as Journal of Clinical Investigation, Cancer Research and Oncogene.

In The Last Decade

Yuting Kuang

19 papers receiving 429 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 13 319 157 54 52 47 19 433
K. Mark Parnell United States 11 530 1.7× 102 0.6× 25 0.5× 12 0.2× 93 2.0× 13 628
Yevgeniy Gindin United States 10 339 1.1× 160 1.0× 83 1.5× 30 0.6× 89 1.9× 18 511
Pablo Ríos‐Marco Spain 14 289 0.9× 93 0.6× 56 1.0× 36 0.7× 59 1.3× 25 463
James A. Dowdle United States 6 439 1.4× 128 0.8× 49 0.9× 70 1.3× 86 1.8× 7 606
Christina R. Ross United States 13 366 1.1× 144 0.9× 17 0.3× 15 0.3× 83 1.8× 18 488
Thilde Terkelsen Denmark 12 282 0.9× 95 0.6× 27 0.5× 19 0.4× 46 1.0× 18 387
Harilaos Filippakis United States 12 207 0.6× 88 0.6× 71 1.3× 26 0.5× 66 1.4× 19 387
Sylvie Michelland France 12 347 1.1× 86 0.5× 54 1.0× 24 0.5× 86 1.8× 21 493
Dae-Ghon Kim South Korea 11 276 0.9× 150 1.0× 42 0.8× 29 0.6× 86 1.8× 12 422
Lorenza Di Ianni Italy 10 301 0.9× 227 1.4× 31 0.6× 16 0.3× 82 1.7× 10 442

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

19 of 19 papers shown
1.
Chang, Zhe, Yuting Kuang, Di Wu, Jingzhi Zhou, & QingHua Zhu. (2024). New constraints on primordial non-Gaussianity from missing two-loop contributions of scalar induced gravitational waves. Physical review. D. 109(4). 14 indexed citations
2.
Wang, Hui, Chao Li, Meng Song, & Yuting Kuang. (2024). The LINC01094/miR-545-3p/SLC7A11 Signaling Axis Promotes the Development of Gastric Cancer by Regulating Cell Growth and Ferroptosis. Biochemical Genetics. 63(6). 4829–4845. 2 indexed citations
3.
Chang, Zhe, Yuting Kuang, Di Wu, & Jingzhi Zhou. (2024). Probing scalar induced gravitational waves with PTA and LISA: the importance of third order correction. Journal of Cosmology and Astroparticle Physics. 2024(4). 44–44. 10 indexed citations
4.
Raghuram, Anupama, et al.. (2023). 2378. Use of Natural Language Processing to Extract Published Real World Data on a COVID Vaccine and Antiviral Treatment. Open Forum Infectious Diseases. 10(Supplement_2). 2 indexed citations
5.
Huang, Min, et al.. (2022). Mesenchymal stem cells-derived exosomal miR-653-5p suppresses laryngeal papilloma progression by inhibiting BZW2. Clinics. 78. 100129–100129. 3 indexed citations
6.
Samanta, Soma, Suhui Yang, Bikash Debnath, et al.. (2021). The Hydroxyquinoline Analogue YUM70 Inhibits GRP78 to Induce ER Stress–Mediated Apoptosis in Pancreatic Cancer. Cancer Research. 81(7). 1883–1895. 78 indexed citations
7.
Zhou, Youxin, et al.. (2021). TSHZ3 functions as a tumor suppressor by DNA methylation in colorectal cancer. Clinics and Research in Hepatology and Gastroenterology. 45(6). 101725–101725. 9 indexed citations
8.
Liu, Fei, Zhihua Xu, Daiwei Wan, et al.. (2021). Evidence of nigericin as a potential therapeutic candidate for cancers: A review. Biomedicine & Pharmacotherapy. 137. 111262–111262. 19 indexed citations
10.
Wang, Ding, et al.. (2020). Circular RNA circ_HN1 facilitates gastric cancer progression through modulation of the miR-302b-3p/ROCK2 axis. Molecular and Cellular Biochemistry. 476(1). 199–212. 18 indexed citations
11.
Chen, Zhenlong, Daiwei Wan, Yilin Wang, et al.. (2019). Hsa_circ_101555 functions as a competing endogenous RNA of miR-597-5p to promote colorectal cancer progression. Oncogene. 38(32). 6017–6034. 73 indexed citations
12.
Liu, Fei, Wei Li, Ye Han, et al.. (2018). Nigericin Exerts Anticancer Effects on Human Colorectal Cancer Cells by Inhibiting Wnt/β-catenin Signaling Pathway. Molecular Cancer Therapeutics. 17(5). 952–965. 27 indexed citations
13.
Kuang, Yuting, et al.. (2018). Design and Synthesis of Novel Reactive Oxygen Species Inducers for the Treatment of Pancreatic Ductal Adenocarcinoma. Journal of Medicinal Chemistry. 61(4). 1576–1594. 27 indexed citations
14.
Zhi, Qiaoming, Huo Chen, Fei Liu, et al.. (2018). Podocalyxin‐like protein promotes gastric cancer progression through interacting with RUN and FYVE domain containing 1 protein. Cancer Science. 110(1). 118–134. 17 indexed citations
15.
Kuang, Yuting, Anthony B. El-Khoueiry, Pietro Taverna, Mats Ljungman, & Nouri Neamati. (2015). Guadecitabine (SGI‐110) priming sensitizes hepatocellular carcinoma cells to oxaliplatin. Molecular Oncology. 9(9). 1799–1814. 43 indexed citations
16.
Aboye, Teshome Leta, Yuting Kuang, Nouri Neamati, & Julio A. Camarero. (2015). Rapid Parallel Synthesis of Bioactive Folded Cyclotides by Using a Tea‐Bag Approach. ChemBioChem. 16(5). 827–833. 23 indexed citations
17.
Wang, Xu, Bo Hu, Hao Zhou, et al.. (2015). Clinical and prognostic relevance of EZH2 in breast cancer: A meta-analysis. Biomedicine & Pharmacotherapy. 75. 218–225. 34 indexed citations
18.
Wang, Xu, Xiaobo Guo, Hao Zhou, et al.. (2015). Prognostic role of YB-1 expression in breast cancer: a meta-analysis.. PubMed. 8(2). 1780–91. 14 indexed citations
19.
Cheng, Chieh-Fang, Divya Sahu, Fred Tsen, et al.. (2012). A fragment of secreted Hsp90α carries properties that enable it to accelerate effectively both acute and diabetic wound healing in mice. Journal of Clinical Investigation. 122(2). 779–779. 2 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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