Ming Zhao

7.1k total citations
133 papers, 5.3k citations indexed

About

Ming Zhao is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ming Zhao has authored 133 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 26 papers in Oncology and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ming Zhao's work include Histone Deacetylase Inhibitors Research (13 papers), Epigenetics and DNA Methylation (12 papers) and Reproductive Biology and Fertility (10 papers). Ming Zhao is often cited by papers focused on Histone Deacetylase Inhibitors Research (13 papers), Epigenetics and DNA Methylation (12 papers) and Reproductive Biology and Fertility (10 papers). Ming Zhao collaborates with scholars based in United States, China and Hong Kong. Ming Zhao's co-authors include Michelle A. Rudek, Sharyn D. Baker, Manuel Hidalgo, Michael A. Carducci, Alex Sparreboom, Jing Li, Ping He, Dao Nguyen, Julie A. Hong and David S. Schrump and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Ming Zhao

122 papers receiving 5.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Zhao United States 42 3.1k 1.4k 615 567 401 133 5.3k
Roman A. Blaheta Germany 39 2.5k 0.8× 1.0k 0.7× 663 1.1× 581 1.0× 182 0.5× 208 5.1k
Franca Stivala Italy 28 3.5k 1.1× 1.6k 1.1× 514 0.8× 868 1.5× 518 1.3× 58 5.4k
Haiying Chen United States 31 2.7k 0.9× 1.0k 0.7× 301 0.5× 764 1.3× 322 0.8× 129 4.8k
Christopher L. Morton United States 45 3.2k 1.0× 1.5k 1.1× 915 1.5× 663 1.2× 204 0.5× 128 5.6k
Yangfu Jiang China 31 2.7k 0.9× 1.1k 0.8× 456 0.7× 1.2k 2.2× 155 0.4× 70 4.9k
Shinya Sato Japan 42 2.1k 0.7× 1.0k 0.7× 522 0.8× 1.1k 1.9× 144 0.4× 302 5.4k
Regine Schneider‐Stock Germany 51 3.4k 1.1× 1.9k 1.3× 1.6k 2.7× 1.0k 1.8× 135 0.3× 211 8.4k
Claudio Festuccia Italy 45 2.8k 0.9× 1.6k 1.1× 1.1k 1.8× 1.1k 1.9× 233 0.6× 164 5.3k
Jörg Bäsecke Germany 22 3.0k 1.0× 1.2k 0.8× 338 0.5× 669 1.2× 649 1.6× 34 4.4k

Countries citing papers authored by Ming Zhao

Since Specialization
Citations

This map shows the geographic impact of Ming 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 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 Zhao more than expected).

Fields of papers citing papers by Ming Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhao. A scholar is included among the top collaborators of Ming 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 Zhao. Ming 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.
Fang, Lanlan, Luping Cong, Ming Zhao, et al.. (2025). The Therapeutic Potential of EGCG and Pro-EGCG in Mitigating Ovarian Hyperstimulation Syndrome: Unraveling the Modulatory Mechanism through the VEGF Pathway. International Journal of Biological Sciences. 21(7). 3045–3060.
2.
Chang, Shuang, Guannan Guan, Ming Zhao, et al.. (2025). In Situ Remodeling of Tumor Microenvironment via Specific Cancer-Associated Fibroblasts Subtype Engineering to Boost Antitumor Immunity. ACS Nano. 19(43). 37815–37836.
3.
Chen, Lei, Minmin Zhang, Wei Wei, et al.. (2025). Lipid metabolism, microglia, and stroke. Neural Regeneration Research. 1 indexed citations
4.
Zhao, Ming, et al.. (2025). ICSI/IVF treatments allocation using CASAs compared to manual semen analyses. Medicine. 104(6). e41501–e41501.
5.
Wang, Yu, et al.. (2024). Information-guided signal multi-granularity contrastive feature learning for fault diagnosis with few labeled data. Advanced Engineering Informatics. 61. 102471–102471. 16 indexed citations
7.
Liu, Jiaping, Ziyue Xi, Jiale Zhao, et al.. (2024). Hydrogels for Nucleic Acid Drugs Delivery. Advanced Healthcare Materials. 13(30). e2401895–e2401895. 18 indexed citations
8.
Chen, Lei, et al.. (2024). The role of the D-dimer to fibrinogen ratio in the classification of cardioembolism and atherosclerotic stroke. Journal of Clinical Neuroscience. 125. 43–50.
9.
Zhao, Ming, Hanhui Li, Jacqueline Pui Wah Chung, et al.. (2021). Application of convolutional neural network on early human embryo segmentation during in vitro fertilization. Journal of Cellular and Molecular Medicine. 25(5). 2633–2644. 26 indexed citations
10.
Liu, Jing, Ming Zhao, Haoyang Zhang, et al.. (2021). Associations between ambient air pollution and IVF outcomes in a heavily polluted city in China. Reproductive BioMedicine Online. 44(1). 49–62. 16 indexed citations
11.
Webster, Marie R., Chandrashekhar D. Kamat, Nick Connis, et al.. (2013). Bisphosphonamidate Clodronate Prodrug Exhibits Selective Cytotoxic Activity against Melanoma Cell Lines. Molecular Cancer Therapeutics. 13(2). 297–306. 12 indexed citations
12.
Juergens, Rosalyn A., John Wrangle, Frank P. Vendetti, et al.. (2011). Combination Epigenetic Therapy Has Efficacy in Patients with Refractory Advanced Non–Small Cell Lung Cancer. Cancer Discovery. 1(7). 598–607. 498 indexed citations
13.
Chenna, Venugopal, Chaoxin Hu, Dipankar Pramanik, et al.. (2011). A Polymeric Nanoparticle Encapsulated Small-Molecule Inhibitor of Hedgehog Signaling (NanoHHI) Bypasses Secondary Mutational Resistance to Smoothened Antagonists. Molecular Cancer Therapeutics. 11(1). 165–173. 69 indexed citations
14.
Liu, Cheuk‐Lun, Ling Cheng, Chun‐Hay Ko, et al.. (2011). Bioassay-guided isolation of norviburtinal from the root of Rehmannia glutinosa, exhibited angiogenesis effect in zebrafish embryo model. Journal of Ethnopharmacology. 137(3). 1323–1327. 29 indexed citations
15.
Chen, Guozhu, Xuhui Zhang, Ming Zhao, et al.. (2011). Celastrol targets mitochondrial respiratory chain complex I to induce reactive oxygen species-dependent cytotoxicity in tumor cells. BMC Cancer. 11(1). 170–170. 85 indexed citations
16.
Sun, Wenyue, Yan Liu, Chad A. Glazer, et al.. (2010). TKTL1 Is Activated by Promoter Hypomethylation and Contributes to Head and Neck Squamous Cell Carcinoma Carcinogenesis through Increased Aerobic Glycolysis and HIF1α Stabilization. Clinical Cancer Research. 16(3). 857–866. 104 indexed citations
17.
Hu, Shuiying, Zhaoyuan Chen, Ryan M. Franke, et al.. (2009). Interaction of the Multikinase Inhibitors Sorafenib and Sunitinib with Solute Carriers and ATP-Binding Cassette Transporters. Clinical Cancer Research. 15(19). 6062–6069. 129 indexed citations
18.
Schrump, David S., Maria R. Fischette, Dao Nguyen, et al.. (2006). Phase I Study of Decitabine-Mediated Gene Expression in Patients with Cancers Involving the Lungs, Esophagus, or Pleura. Clinical Cancer Research. 12(19). 5777–5785. 185 indexed citations
19.
Wu, Guojun, Motonobu Osada, Zhongmin Guo, et al.. (2005). ΔNp63α Up-Regulates the Hsp70 Gene in Human Cancer. Cancer Research. 65(3). 758–766. 88 indexed citations
20.
Cavalletti, Ennio, Guido Cavaletti, G Tredici, et al.. (1999). Oral and intravenous BNP7787 protects against paclitaxel-mediated neurotoxicity in Wistar rats. 40. 398. 6 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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