Ming Gu
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds
Papers in
-
- Peroxisome Proliferator-Activated Receptors 6
- Surgery 8
- Cholesterol and Lipid Metabolism 7
- Co-authors
- Shengjie Fan (15 shared papers)Cheng Huang (15 shared papers)Guang Ji (9 shared papers)Yunsong Liu (5 shared papers)Yongsheng Zhou (4 shared papers)Cheng Huang (4 shared papers)Xiong Lu (4 shared papers)Zhiqin Zhou (4 shared papers)
- Journals
- PLoS ONE (4 papers)Scientific Reports (2 papers)Phytotherapy Research (2 papers)European Journal of Pharmacology (2 papers)British Journal of Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ming Gu
39 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Biochemistry 146
- Pharmacology 173
- Complementary and alternative medicine 91
- Endocrinology, Diabetes and Metabolism 158
- Sensory Systems 46
Countries citing papers authored by Ming Gu
This map shows the geographic impact of Ming Gu'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 Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Gu more than expected).
Fields of papers citing papers by Ming Gu
This network shows the impact of papers produced by Ming Gu. 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 Gu. The network helps show where Ming Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Gu, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 116 | |
| 2 | 2013 | 114 | |
| 3 | 2014 | 95 | |
| 4 | 2014 | 94 | |
| 5 | 2011 | 88 | |
| 6 | 2016 | 64 | |
| 7 | 2016 | 62 | |
| 8 | 2017 | 61 | |
| 9 | 2012 | 58 | |
| 10 | 2012 | 58 | |
| 11 | 2019 | 52 | |
| 12 | 2017 | 46 | |
| 13 | 2018 | 46 | |
| 14 | 2016 | 45 | |
| 15 | 2013 | 42 | |
| 16 | 2012 | 37 | |
| 17 | 2014 | 36 | |
| 18 | 2017 | 36 | |
| 19 | 2013 | 33 | |
| 20 | 2013 | 32 |
About Ming Gu
Ming Gu is a scholar working on Molecular Biology, Surgery, Epidemiology, Pharmacology and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Graphene and Nanomaterials Applications (4 papers), Bone Tissue Engineering Materials (3 papers), Pain Mechanisms and Treatments (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Biochemistry (146 citations), Pharmacology (173 citations), Complementary and alternative medicine (91 citations), Endocrinology, Diabetes and Metabolism (158 citations) and Sensory Systems (46 citations). Ming Gu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shengjie Fan, Cheng Huang, Guang Ji, Yunsong Liu, Yongsheng Zhou, Cheng Huang, Xiong Lu, Zhiqin Zhou, Qingchun Tong and Chunyang Xiong. Their work appears in journals such as PLoS ONE, Scientific Reports, Phytotherapy Research, European Journal of Pharmacology and British Journal of Pharmacology.
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.