Ming Zhao
- Oncology top 2%
- Cancer Treatment and Pharmacology 9
- Molecular Biology top 2%
- Histone Deacetylase Inhibitors Research 13
- Epigenetics and DNA Methylation 12
- Retinoids in leukemia and cellular processes 6
- Cancer Research top 5%
- Hematology top 2%
- Acute Myeloid Leukemia Research 7
- Pharmacology top 1%
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- Reproductive Biology and Fertility 10
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- Ovarian function and disorders 9
- Sperm and Testicular Function 7
- Co-authors
- Michelle A. RudekSharyn D. BakerManuel HidalgoMichael A. CarducciAlex SparreboomJing LiPing HeDao Nguyen
- Journals
- Clinical Cancer Research (11 papers)Phytochemistry (4 papers)Journal of Clinical Oncology (4 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Ming Zhao
122 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 151
- Oncology 1.4k
- Molecular Biology 3.1k
- Cancer Research 567
- Hematology 401
- Pharmacology 289
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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 16 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 18 | |
| 8 | 2024 | 0 | |
| 9 | 2021 | 26 | |
| 10 | 2021 | 16 | |
| 11 | 2013 | 12 | |
| 12 | 2011 | 498 | |
| 13 | 2011 | 69 | |
| 14 | 2011 | 29 | |
| 15 | 2011 | 85 | |
| 16 | 2010 | 104 | |
| 17 | 2009 | 129 | |
| 18 | 2006 | 185 | |
| 19 | 2005 | 88 | |
| 20 | Oral and intravenous BNP7787 protects against paclitaxel-mediated neurotoxicity in Wistar rats | 1999 | 6 |
About Ming Zhao
Ming Zhao is a scholar working on Reproductive Medicine, Hematology, Molecular Biology, Oncology and Pharmacology, having authored 133 papers that have together received 5.3k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (13 papers), Epigenetics and DNA Methylation (12 papers), Reproductive Biology and Fertility (10 papers), Ovarian function and disorders (9 papers), Cancer Treatment and Pharmacology (9 papers), Acute Myeloid Leukemia Research (7 papers), Sperm and Testicular Function (7 papers) and Retinoids in leukemia and cellular processes (6 papers). The work is most often cited by research in Oncology (1.4k citations), Molecular Biology (3.1k citations), Cancer Research (567 citations), Hematology (401 citations) and Pharmacology (289 citations). Ming Zhao has collaborated with scholars based in United States, China and Hong Kong. Frequent 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. Their work appears in journals such as Clinical Cancer Research, Phytochemistry, Journal of Clinical Oncology, Phytotherapy Research and Cancer Research.
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.