Da Zhong

631 total citations
13 papers, 489 citations indexed

About

Da Zhong is a scholar working on Molecular Biology, Cancer Research and Nature and Landscape Conservation. According to data from OpenAlex, Da Zhong has authored 13 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cancer Research and 1 paper in Nature and Landscape Conservation. Recurrent topics in Da Zhong's work include Circular RNAs in diseases (6 papers), Cancer-related molecular mechanisms research (6 papers) and MicroRNA in disease regulation (5 papers). Da Zhong is often cited by papers focused on Circular RNAs in diseases (6 papers), Cancer-related molecular mechanisms research (6 papers) and MicroRNA in disease regulation (5 papers). Da Zhong collaborates with scholars based in China. Da Zhong's co-authors include Yihe Hu, Qiande Liao, Ke Yin, Shilong Su, Hua Liu, Han Xiao, Chenggong Wang, Hua Liu, Zhan Liao and Yusheng Li and has published in prestigious journals such as Cell Death and Disease, Diabetic Medicine and Journal of Translational Medicine.

In The Last Decade

Da Zhong

12 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da Zhong China 8 354 272 42 33 33 13 489
Xiaoqiang Li China 10 316 0.9× 164 0.6× 12 0.3× 47 1.4× 26 0.8× 14 506
Chenting Ying China 13 214 0.6× 134 0.5× 72 1.7× 37 1.1× 37 1.1× 14 425
Zhong-Hua Chen China 10 197 0.6× 64 0.2× 29 0.7× 18 0.5× 58 1.8× 14 382
Feiwu Kang China 9 280 0.8× 137 0.5× 76 1.8× 31 0.9× 126 3.8× 27 499
Jeong-Tae Koh South Korea 11 352 1.0× 125 0.5× 64 1.5× 37 1.1× 116 3.5× 15 555
Francesca Casciaro Italy 11 223 0.6× 94 0.3× 65 1.5× 68 2.1× 10 0.3× 17 354
Haiyan Yang China 14 509 1.4× 307 1.1× 18 0.4× 9 0.3× 18 0.5× 25 592
Sameeksha Chopra Canada 7 168 0.5× 124 0.5× 25 0.6× 14 0.4× 87 2.6× 11 438
Yongtao Geng China 8 401 1.1× 161 0.6× 23 0.5× 32 1.0× 100 3.0× 9 586

Countries citing papers authored by Da Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Da Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Zhong

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

All Works

13 of 13 papers shown
3.
Chen, Yong, Da Zhong, Chenggong Wang, et al.. (2022). CircRNA AFF4 induced by KDM1A promotes osteogenic differentiation through FNDC5/Irisin pathway. Molecular Medicine. 28(1). 134–134. 7 indexed citations
4.
Wang, Di, et al.. (2022). BMSCs-derived Mitochondria Improve Osteoarthritis by Ameliorating Mitochondrial Dysfunction and Promoting Mitochondrial Biogenesis in Chondrocytes. Stem Cell Reviews and Reports. 18(8). 3092–3111. 42 indexed citations
5.
Zhong, Da, et al.. (2021). Circ-ITCH sponges miR-214 to promote the osteogenic differentiation in osteoporosis via upregulating YAP1. Cell Death and Disease. 12(4). 340–340. 36 indexed citations
6.
Liu, Chao, Da Zhong, Mi Ra Yu, et al.. (2021). Circular RNA AFF4 modulates osteogenic differentiation in BM-MSCs by activating SMAD1/5 pathway through miR-135a-5p/FNDC5/Irisin axis. Cell Death and Disease. 12(7). 631–631. 36 indexed citations
7.
Hu, Yihe, et al.. (2020). LncRNA DANCR and miR-320a suppressed osteogenic differentiation in osteoporosis by directly inhibiting the Wnt/β-catenin signaling pathway. Experimental & Molecular Medicine. 52(8). 1310–1325. 75 indexed citations
8.
Liao, Zhan, Han Xiao, Hua Liu, et al.. (2019). LncRNA KCNQ1OT1 promoted BMP2 expression to regulate osteogenic differentiation by sponging miRNA-214. Experimental and Molecular Pathology. 107. 77–84. 94 indexed citations
10.
Yang, Pu, Ke Yin, Da Zhong, Qiande Liao, & Kanghua Li. (2014). Inhibition of osteosarcoma cell progression by MacroH2A via the downregulation of cyclin D and cyclin-dependent kinase genes. Molecular Medicine Reports. 11(3). 1905–1910. 3 indexed citations
11.
Zhong, Da. (2013). EFFECT ON THE BIOTURBATION OF CARPS IN DIFFERENT DENSITY ON DENITRIFICATION, NITRIFICATION AND NITRATE AMMONIFICATION RATES ON SEDIMENT-WATER INTERFACE. Acta Hydrobiologica Sinica. 1 indexed citations
12.
Wu, Jianhuang, Qiande Liao, Hongbo He, Da Zhong, & Ke Yin. (2012). TWIST interacts with β-catenin signaling on osteosarcoma cell survival against cisplatin. Molecular Carcinogenesis. 53(6). 440–446. 39 indexed citations
13.
Zhang, Jianping, et al.. (2010). Knowledge Visualization: An Effective Way of Improving Learning. 598–601. 5 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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