Ming-Dong Zhao

1.1k total citations · 1 hit paper
25 papers, 871 citations indexed

About

Ming-Dong Zhao is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Ming-Dong Zhao has authored 25 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Surgery and 7 papers in Cancer Research. Recurrent topics in Ming-Dong Zhao's work include MicroRNA in disease regulation (4 papers), Bone Metabolism and Diseases (4 papers) and ATP Synthase and ATPases Research (3 papers). Ming-Dong Zhao is often cited by papers focused on MicroRNA in disease regulation (4 papers), Bone Metabolism and Diseases (4 papers) and ATP Synthase and ATPases Research (3 papers). Ming-Dong Zhao collaborates with scholars based in China, Russia and Netherlands. Ming-Dong Zhao's co-authors include Jingying Fu, Wensheng Hu, Dong Jiang, Donglin Dong, Yaohuan Huang, Gang Lin, Libo Jiang, Feng‐Lai Yuan, Wang Ding and Jian Dong and has published in prestigious journals such as ACS Nano, PLoS ONE and Biomaterials.

In The Last Decade

Ming-Dong Zhao

24 papers receiving 859 citations

Hit Papers

Injectable Mussel‐Inspire... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ming-Dong Zhao 339 216 186 135 99 25 871
Min Fu 543 1.6× 125 0.6× 343 1.8× 38 0.3× 55 0.6× 39 1.4k
Donghui Han 422 1.2× 143 0.7× 160 0.9× 45 0.3× 132 1.3× 56 1.1k
Ruijun Xu 319 0.9× 575 2.7× 238 1.3× 22 0.2× 47 0.5× 77 1.3k
Na Song 705 2.1× 121 0.6× 247 1.3× 49 0.4× 104 1.1× 78 1.6k
Vincent Crenn 230 0.7× 227 1.1× 165 0.9× 77 0.6× 70 0.7× 71 990
Zhiheng Liao 207 0.6× 306 1.4× 48 0.3× 85 0.6× 28 0.3× 55 916
Wangyang Chen 271 0.8× 107 0.5× 140 0.8× 19 0.1× 36 0.4× 54 1.0k
Michael Walsh 481 1.4× 186 0.9× 87 0.5× 7 0.1× 90 0.9× 50 1.5k
Daniel Svensson 217 0.6× 97 0.4× 73 0.4× 20 0.1× 22 0.2× 47 895
Yunsheng Dong 139 0.4× 572 2.6× 26 0.1× 85 0.6× 207 2.1× 46 1.7k

Countries citing papers authored by Ming-Dong Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Dong Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Dong Zhao. 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 Ming-Dong Zhao. The network helps show where Ming-Dong Zhao may publish in the future.

Co-authorship network of co-authors of Ming-Dong Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Dong Zhao. A scholar is included among the top collaborators of Ming-Dong Zhao 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 Ming-Dong Zhao. Ming-Dong Zhao 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.
He, Hua, et al.. (2025). Role of the hedgehog pathway in the formation, maintenance, and degeneration of intervertebral disc. Connective Tissue Research. 66(6). 506–520. 1 indexed citations
2.
Ding, Wang, Hua He, Zhiyang Gao, et al.. (2025). Ciliary IFT88 inhibits intervertebral disc degeneration under excessive mechanical stress by regulating endplate cartilage calcification. Journal of Advanced Research. 81. 157–173. 2 indexed citations
3.
Zhang, Jie, et al.. (2025). Advanced transformer for high-noise image denoising: Enhanced attention and detail preservation. Signal Processing Image Communication. 136. 117286–117286. 1 indexed citations
4.
Zhang, Zhenyu, Hailin Hu, Kai Zhang, et al.. (2025). Primary cilia as mechanosensors in musculoskeletal homeostasis and disease. Pharmacological Research. 219. 107887–107887. 1 indexed citations
5.
Ding, Wang, Yifan Liu, Jian Li, et al.. (2023). Tendon Repair and Regeneration Using Bioinspired Fibrillation Engineering That Mimicked the Structure and Mechanics of Natural Tissue. ACS Nano. 17(18). 17858–17872. 23 indexed citations
6.
Zhang, Qichen, Wang Ding, Shenglong Ding, et al.. (2022). Robust bioactive protein-based screws with dual crosslinked network for internal bone fixation. Composites Part B Engineering. 238. 109884–109884. 9 indexed citations
7.
Zhang, Fangxue, Peng Liu, Wang Ding, et al.. (2021). Injectable Mussel‐Inspired highly adhesive hydrogel with exosomes for endogenous cell recruitment and cartilage defect regeneration. Biomaterials. 278. 121169–121169. 262 indexed citations breakdown →
8.
Yuan, Feng‐Lai, Zongning Miao, Minghui Xu, et al.. (2018). Osteoclast-Derived Extracellular Vesicles: Novel Regulators of Osteoclastogenesis and Osteoclast–Osteoblasts Communication in Bone Remodeling. Frontiers in Physiology. 9. 628–628. 91 indexed citations
10.
Li, Xia, Zongning Miao, Junxing Ye, et al.. (2018). Long Non-coding RNAs: A New Regulatory Code for Osteoporosis. Frontiers in Endocrinology. 9. 587–587. 45 indexed citations
11.
Jiang, Ye, Jing Zhang, Juanjuan Huang, et al.. (2018). Erlotinib versus gefitinib for brain metastases in Asian patients with exon 19 EGFR-mutant lung adenocarcinoma: a retrospective, multicenter study. BMC Pulmonary Medicine. 18(1). 171–171. 6 indexed citations
12.
Xu, Minghui, et al.. (2017). Evidence that activation of ASIC1a by acidosis increases osteoclast migration and adhesion by modulating integrin/Pyk2/Src signaling pathway. Osteoporosis International. 28(7). 2221–2231. 19 indexed citations
13.
Zhao, Ming-Dong, et al.. (2016). Construction of Radial Defect Models in Rabbits to Determine the Critical Size Defects. PLoS ONE. 11(1). e0146301–e0146301. 19 indexed citations
14.
Chen, Nong, et al.. (2016). Recombinant Human Endostatin Suppresses Mouse Osteoclast Formation by Inhibiting the NF-κB and MAPKs Signaling Pathways. Frontiers in Pharmacology. 7. 145–145. 22 indexed citations
15.
Yuan, Feng‐Lai, Ming-Dong Zhao, Donglin Jiang, et al.. (2015). Involvement of acid-sensing ion channel 1a in matrix metabolism of endplate chondrocytes under extracellular acidic conditions through NF-κB transcriptional activity. Cell Stress and Chaperones. 21(1). 97–104. 24 indexed citations
16.
Zhao, Ming-Dong, et al.. (2014). The downregulation of miR-144 is associated with the growth and invasion of osteosarcoma cells through the regulation of TAGLN expression. International Journal of Molecular Medicine. 34(6). 1565–1572. 38 indexed citations
17.
Zhao, Ming-Dong, et al.. (2014). Effects of Low Concentrations of Benzene Exposure on Levels of Platelet-Associated Antibodies and Platelet Parameters. Journal of Occupational and Environmental Medicine. 56(10). e92–e97. 6 indexed citations
18.
Yuan, Feng‐Lai, Ming-Dong Zhao, Libo Jiang, et al.. (2014). Molecular Actions of Ovarian Cancer G Protein-Coupled Receptor 1 Caused by Extracellular Acidification in Bone. International Journal of Molecular Sciences. 15(12). 22365–22373. 15 indexed citations
19.
Zhao, Ming-Dong, et al.. (2013). Expression of multidrug resistance 1 and multidrug resistance-related protein 1 in C57BL/6 mice treated with benzene. Genetics and Molecular Research. 12(4). 5842–5850. 2 indexed citations
20.
Zhao, Ming-Dong, et al.. (1999). Optimization of a matrix solid-phase dispersion method with sequential clean-up for the determination of alkylphenol ethoxylates in biological tissues. Journal of Chromatography A. 837(1-2). 129–138. 35 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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