Ming Wang
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Nephrology top 5%
Papers in
-
- Epigenetics and DNA Methylation 7
- Ubiquitin and proteasome pathways 5
- RNA modifications and cancer 4
- Epidemiology 22
- Autophagy in Disease and Therapy 11
- Co-authors
- Bin Li (1 shared paper)Xiaolong Li (1 shared paper)Jiwu Huang (1 shared paper)Lin Sun (2 shared papers)Li Xiao (2 shared papers)Fuyou Liu (2 shared papers)Dan Tang (1 shared paper)Zhiguang Zhou (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Plant Disease (3 papers)Nature Communications (3 papers)Frontiers in Microbiology (2 papers)The EMBO Journal (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ming Wang
102 papers receiving 2.6k citations
Ming Wang's Hit Papers
Peers
Comparison fields: 5 of 156
- Geriatrics and Gerontology 106
- Nephrology 137
- Computer Vision and Pattern Recognition 418
- Aging 27
- Clinical Biochemistry 93
Countries citing papers authored by Ming Wang
This map shows the geographic impact of Ming Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wang more than expected).
Fields of papers citing papers by Ming Wang
This network shows the impact of papers produced by Ming Wang. 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 Wang. The network helps show where Ming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Wang, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The mitochondria-targeted antioxidant MitoQ ameliorated tubular injury mediated by mitophagy in diabetic kidney disease via Nrf2/PINK1 Hit paper breakdown → | 2016 | 470 |
| 2 | A new cost function for spatial image steganography Hit paper breakdown → | 2014 | 421 |
| 3 | 2016 | 117 | |
| 4 | 2018 | 86 | |
| 5 | 2013 | 78 | |
| 6 | 2020 | 75 | |
| 7 | 2015 | 62 | |
| 8 | 2018 | 62 | |
| 9 | 2013 | 60 | |
| 10 | 2021 | 60 | |
| 11 | 2017 | 59 | |
| 12 | 2018 | 58 | |
| 13 | 2020 | 51 | |
| 14 | 2010 | 47 | |
| 15 | 2017 | 47 | |
| 16 | 2013 | 44 | |
| 17 | 2019 | 43 | |
| 18 | 2014 | 39 | |
| 19 | 2016 | 37 | |
| 20 | 2018 | 31 |
About Ming Wang
Ming Wang is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Plant Science and Physiology, having authored 106 papers that have together received 2.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (11 papers), Epigenetics and DNA Methylation (7 papers), Ubiquitin and proteasome pathways (5 papers), Sirtuins and Resveratrol in Medicine (5 papers), Cancer-related Molecular Pathways (4 papers), RNA modifications and cancer (4 papers), Plant Pathogens and Fungal Diseases (4 papers) and Cellular Mechanics and Interactions (4 papers). The work is most often cited by research in Geriatrics and Gerontology (106 citations), Nephrology (137 citations), Computer Vision and Pattern Recognition (418 citations), Aging (27 citations) and Clinical Biochemistry (93 citations). Ming Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Li, Xiaolong Li, Jiwu Huang, Lin Sun, Li Xiao, Fuyou Liu, Dan Tang, Zhiguang Zhou, Yan Xu and Yu Liu. Their work appears in journals such as Journal of Biological Chemistry, Plant Disease, Nature Communications, Frontiers in Microbiology and The EMBO Journal.
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.