Ming Zhao
- Urology top 0.5%
- Periodontal Regeneration and Treatments 8
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 13
- Molecular Biology top 1%
- Natural product bioactivities and synthesis 23
- Bone Metabolism and Diseases 17
- Phytochemical compounds biological activities 9
- TGF-β signaling in diseases 8
- Oncology top 2%
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- Phytochemistry and Biological Activities 9
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- Bone and Dental Protein Studies 9
Ming Zhao
204 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Urology 526
- Orthopedics and Sports Medicine 676
- Cancer Research 1.1k
- Molecular Biology 4.8k
- Oncology 1.6k
Countries citing papers authored by Ming Zhao
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
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
The 25 scholars most cited alongside Ming Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 23 | |
| 12 | 2022 | 14 | |
| 13 | LncRNA RGMB-AS1 Promotes Glioma Growth and Invasion Through miR-1200/HOXB2 Axis | 2019 | 3 |
| 14 | 2019 | 20 | |
| 15 | 2019 | 21 | |
| 16 | [Prevalence of dyslipidemia among non-overweight adults and related factors in Zhejiang]. | 2015 | 3 |
| 17 | [Multilevel regression analysis on regional-cluster and risk factors of blood pressure among adult residents in Zhejiang province]. | 2014 | 1 |
| 18 | Comparison of the post-regulation seatbelt-wearing experience in China and Australia | 2011 | 2 |
| 19 | 2011 | 4 | |
| 20 | 2003 | 258 |
About Ming Zhao
Ming Zhao is a scholar working on Cancer Research, Biological Psychiatry and Complementary and alternative medicine, having authored 214 papers that have together received 9.0k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (23 papers), Bone Metabolism and Diseases (17 papers), Cancer-related molecular mechanisms research (13 papers), Phytochemistry and Biological Activities (9 papers), Bone and Dental Protein Studies (9 papers), Phytochemical compounds biological activities (9 papers), Periodontal Regeneration and Treatments (8 papers) and TGF-β signaling in diseases (8 papers). The work is most often cited by research in Urology (526 citations), Orthopedics and Sports Medicine (676 citations) and Cancer Research (1.1k citations). Ming Zhao has collaborated with scholars based in China, United States and Nigeria. Frequent co-authors include Gregory R. Mundy, Di Chen, Babatunde O. Oyajobi, S. E. Harris, G. Rossini, Brendan F. Boyce, G. Gutierrez, R.J. Burriss Garrett, Jeffrey Chan and Stephen E. Harris. Their work appears in journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.