Mingming Zhu
Impact in
- Molecular Medicine top 2%
- Curcumin's Biomedical Applications
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics, phytochemicals, and oxidative stress 7
-
- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 5
- Co-authors
- Dmitriy A. Yablonskiy (5 shared papers)Chunfeng Xie (18 shared papers)Caiyun Zhong (19 shared papers)Shanshan Geng (18 shared papers)Jieshu Wu (18 shared papers)Jianyun Zhu (16 shared papers)Rui Wu (16 shared papers)Cong Huang (15 shared papers)
- Journals
- Phytotherapy Research (5 papers)PLoS ONE (3 papers)Magnetic Resonance in Medicine (2 papers)Journal of Neuroinflammation (2 papers)Chemical Science (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Mingming Zhu
67 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 118
- Molecular Medicine 207
- Cancer Research 441
- Critical Care and Intensive Care Medicine 86
- Neurology 122
- Molecular Biology 1.0k
Countries citing papers authored by Mingming Zhu
This map shows the geographic impact of Mingming Zhu'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 Mingming Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingming Zhu more than expected).
Fields of papers citing papers by Mingming Zhu
This network shows the impact of papers produced by Mingming Zhu. 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 Mingming Zhu. The network helps show where Mingming Zhu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingming Zhu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 174 | |
| 2 | 2010 | 166 | |
| 3 | 2017 | 136 | |
| 4 | 2020 | 124 | |
| 5 | 2008 | 114 | |
| 6 | 2012 | 105 | |
| 7 | 2016 | 81 | |
| 8 | 2017 | 76 | |
| 9 | 2015 | 74 | |
| 10 | 2006 | 71 | |
| 11 | 2015 | 69 | |
| 12 | 2010 | 68 | |
| 13 | 2017 | 67 | |
| 14 | 2017 | 62 | |
| 15 | 2018 | 60 | |
| 16 | 2019 | 56 | |
| 17 | 2019 | 56 | |
| 18 | 2019 | 53 | |
| 19 | 2012 | 53 | |
| 20 | 2009 | 48 |
About Mingming Zhu
Mingming Zhu is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Genetics and Surgery, having authored 72 papers that have together received 2.5k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (8 papers), MicroRNA in disease regulation (8 papers), Genomics, phytochemicals, and oxidative stress (7 papers), Curcumin's Biomedical Applications (6 papers), Molecular Sensors and Ion Detection (6 papers), Diverticular Disease and Complications (5 papers), Cancer Cells and Metastasis (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Molecular Medicine (207 citations), Cancer Research (441 citations), Critical Care and Intensive Care Medicine (86 citations), Neurology (122 citations) and Molecular Biology (1.0k citations). Mingming Zhu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Dmitriy A. Yablonskiy, Chunfeng Xie, Caiyun Zhong, Shanshan Geng, Jieshu Wu, Jianyun Zhu, Rui Wu, Cong Huang, Zhiqian Guo and Xiaoting Li. Their work appears in journals such as Phytotherapy Research, PLoS ONE, Magnetic Resonance in Medicine, Journal of Neuroinflammation and Chemical Science.
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.