Ming Zhao
Impact in
- Molecular Biology top 2%
- Melanoma and MAPK Pathways
- Cell death mechanisms and regulation
- Mitochondrial Function and Pathology
- Protein Kinase Regulation and GTPase Signaling
- RNA Interference and Gene Delivery
- Immunology top 5%
Papers in
- Immunology 37
- Immune cells in cancer 11
- Immunotherapy and Immune Responses 7
- Neurology 11
- Vagus Nerve Stimulation Research 7
- Co-authors
- Jiahuai HanLiguo NewFranco Di PadovaHermann GramRichard J. UlevitchBazbek DavletovKevin M. BrindleXiao‐Jiang Yu
- Journals
- Nuclear Medicine and Biology (8 papers)International Immunopharmacology (4 papers)Theranostics (4 papers)Journal of Biological Chemistry (3 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Ming Zhao
160 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 149
- Molecular Biology 2.6k
- Immunology 784
- Neurology 272
- Cancer Research 476
- Geriatrics and Gerontology 111
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-authors
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 | 4 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 28 | |
| 5 | 2023 | 35 | |
| 6 | [Hypoxia promotes lipopolysaccharide-induced CXCL10 expression in microglia]. | 2023 | 1 |
| 7 | 2021 | 87 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 2 | |
| 10 | Antitumor Efficacy of Oncolytic Herpes Virus Type 1 Armed with GM-CSF in Murine Uveal Melanoma Xenografts | 2020 | 1 |
| 11 | 2018 | 13 | |
| 12 | 2017 | 0 | |
| 13 | 2015 | 45 | |
| 14 | 2015 | 9 | |
| 15 | 2015 | 26 | |
| 16 | 2015 | 57 | |
| 17 | 2012 | 13 | |
| 18 | 2011 | 46 | |
| 19 | 2011 | 26 | |
| 20 | 2009 | 9 |
About Ming Zhao
Ming Zhao is a scholar working on Immunology, Neurology, Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 170 papers that have together received 5.2k indexed citations. Recurring topics across this work include Immune cells in cancer (11 papers), Nanoplatforms for cancer theranostics (11 papers), Mitochondrial Function and Pathology (10 papers), Cardiac Ischemia and Reperfusion (9 papers), RNA Interference and Gene Delivery (9 papers), Immunotherapy and Immune Responses (7 papers), Adipose Tissue and Metabolism (7 papers) and Vagus Nerve Stimulation Research (7 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Immunology (784 citations), Neurology (272 citations), Cancer Research (476 citations) and Geriatrics and Gerontology (111 citations). Ming Zhao has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Jiahuai Han, Liguo New, Franco Di Padova, Hermann Gram, Richard J. Ulevitch, Bazbek Davletov, Kevin M. Brindle, Xiao‐Jiang Yu, Louiza Loizou and Daniel A. Beauregard. Their work appears in journals such as Nuclear Medicine and Biology, International Immunopharmacology, Theranostics, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.
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.