Rongyang Dai

577 total citations
21 papers, 444 citations indexed

About

Rongyang Dai is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rongyang Dai has authored 21 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rongyang Dai's work include Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Ubiquitin and proteasome pathways (4 papers) and Cancer Mechanisms and Therapy (3 papers). Rongyang Dai is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Ubiquitin and proteasome pathways (4 papers) and Cancer Mechanisms and Therapy (3 papers). Rongyang Dai collaborates with scholars based in China, Finland and Macao. Rongyang Dai's co-authors include Chunyan Duan, Xiaofang Zhao, Yi Zeng, Yini Liu, Bo Cheng, Chunhong Feng, Bin Xiao, Tao Luo, Juan Li and Ning Li and has published in prestigious journals such as International Journal of Molecular Sciences, Annals of the Rheumatic Diseases and International Journal of Biological Macromolecules.

In The Last Decade

Rongyang Dai

19 papers receiving 441 citations

Peers

Rongyang Dai

EPIDE

PRM

Michele Pietrafesa Italy

Twishi Gulati Australia

Avi Kumar United States

Anping Song China

Boyun Shi China

Paula Saavedra-García United Kingdom

Chien-Yu Chen United States

Beatrice Conti Italy

Kazuki Moro Japan

Stacey L. Lehman United States

Michele Pietrafesa Italy

Rongyang Dai

269 ×1.0

60 ×0.5

EPIDE

79 ×0.7

77 ×0.9

PRM

93 ×1.1

Citations per year, relative to Rongyang Dai Rongyang Dai (= 1×) peers Michele Pietrafesa

Countries citing papers authored by Rongyang Dai

Since Specialization

Citations

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

Fields of papers citing papers by Rongyang Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rongyang Dai

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

All Works

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20 of 20 papers shown

Lv, Guangping, et al.. (2025). A composite finite-time control scheme with disturbance observer for robust speed tracking of permanent magnet synchronous motor. Electric Power Systems Research. 254. 112620–112620.

Huang, Ying, Xian Zhang, Chunling Zhao, et al.. (2025). POS0998 CC312, A CD19-TARGETING, CO-STIMULATORY CD28 RECEPTOR-ACTIVATING TRI-SPECIFIC T CELL ENGAGER, FOR THE TREATMENT OF AUTOIMMUNE DISEASES. Annals of the Rheumatic Diseases. 84. 1111–1112.

Xiang, Yuancai, Yuan Gao, Fang Yang, et al.. (2024). Cisplatin Disrupts Proteasome Bounce-Back Effect through Suppressing ZEB1/Nfe2l1 in Cholangiocarcinoma. Frontiers in Bioscience-Landmark. 29(3). 106–106. 1 indexed citations

Guo, Shiwei, Yu Cao, Bowen Cheng, et al.. (2024). A nanoprodrug derived from branched poly (ethylene glycol) recognizes prostate-specific membrane antigen to precisely suppress prostate cancer progression. International Journal of Biological Macromolecules. 282(Pt 2). 136831–136831. 1 indexed citations

Dai, Rongyang, et al.. (2023). Deciphering the tumour immune microenvironment of hepatocellular carcinoma. Scandinavian Journal of Immunology. 98(5). e13327–e13327. 4 indexed citations

Zhou, Yong, et al.. (2023). The Molecular Biology of Prostate Cancer Stem Cells: From the Past to the Future. International Journal of Molecular Sciences. 24(8). 7482–7482. 10 indexed citations

Cheng, Bo, Shuang Yu, Yu Cao, et al.. (2022). Cuproptosis-Related MiR-21-5p/FDX1 Axis in Clear Cell Renal Cell Carcinoma and Its Potential Impact on Tumor Microenvironment. Cells. 12(1). 173–173. 48 indexed citations

Yang, Fang, et al.. (2022). Baicalin Induced Apoptosis of Human Cholangiocarcinoma Cell through Activating AMPK/mTORC1/p70S6K Signaling Pathway. Bulletin of Experimental Biology and Medicine. 173(3). 366–370. 4 indexed citations

Yang, Fang, et al.. (2022). Silibinin ameliorates cisplatin-induced acute kidney injury via activating Nfe2l1-mediated antioxidative response to suppress the ROS/MAPK signaling pathway. Journal of Molecular Histology. 53(4). 729–740. 14 indexed citations

10.

Cheng, Bo, et al.. (2021). The Role of Androgen Receptor in Cross Talk Between Stromal Cells and Prostate Cancer Epithelial Cells. Frontiers in Cell and Developmental Biology. 9. 729498–729498. 13 indexed citations

11.

Liu, Yini, Chunyan Duan, Rongyang Dai, & Yi Zeng. (2021). Ferroptosis-mediated Crosstalk in the Tumor Microenvironment Implicated in Cancer Progression and Therapy. Frontiers in Cell and Developmental Biology. 9. 739392–739392. 37 indexed citations

12.

Li, Lei, Yuancai Xiang, Yi Zeng, et al.. (2020). GSK‑3β inhibition promotes doxorubicin‑induced apoptosis in human cholangiocarcinoma cells via FAK/AKT inhibition. Molecular Medicine Reports. 22(5). 4432–4441. 3 indexed citations

13.

Zhao, Xiaofang, Wenjing Yu, Run Chen, et al.. (2018). Compound C induces protective autophagy in human cholangiocarcinoma cells via Akt/mTOR‐independent pathway. Journal of Cellular Biochemistry. 119(7). 5538–5550. 22 indexed citations

14.

Yu, Wenjing, Yuancai Xiang, Xiaofang Zhao, et al.. (2018). Salubrinal Enhances Doxorubicin Sensitivity in Human Cholangiocarcinoma Cells Through Promoting DNA Damage. Cancer Biotherapy and Radiopharmaceuticals. 33(6). 258–265. 5 indexed citations

15.

Li, Bin, Chunyan Duan, Bin Xiao, et al.. (2017). c-Myc promotes cholangiocarcinoma cells to overcome contact inhibition via the mTOR pathway. Oncology Reports. 38(4). 2498–2506. 13 indexed citations

16.

Zhao, Xiaofang, Chunyan Zhang, Bin Xiao, et al.. (2016). Synergistic antitumor activity of the combination of salubrinal and rapamycin against human cholangiocarcinoma cells. Oncotarget. 7(51). 85492–85501. 20 indexed citations

17.

Luo, Tao, Jing Fu, An Xu, et al.. (2015). PSMD10/gankyrin induces autophagy to promote tumor progression through cytoplasmic interaction with ATG7 and nuclear transactivation of ATG7 expression. Autophagy. 12(8). 1355–1371. 116 indexed citations

18.

Chen, Run, Chunyan Duan, Shaokun Chen, et al.. (2013). The suppressive role of p38 MAPK in cellular vacuole formation. Journal of Cellular Biochemistry. 114(8). 1789–1799. 7 indexed citations

19.

Chen, Run, Juan Li, Chunhong Feng, et al.. (2012). c‐Met function requires n‐linked glycosylation modification of pro‐Met. Journal of Cellular Biochemistry. 114(4). 816–822. 25 indexed citations

20.

Dai, Rongyang. (2009). Cross-talk between PI3K/Akt and MEK/ERK pathways mediates endoplasmic reticulum stress-induced cell cycle progression and cell death in human hepatocellular carcinoma cells. International Journal of Oncology. 34(6). 1749–57. 91 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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