Mingming Gao
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
- Physiology 15
- Adipose Tissue and Metabolism 15
- Epidemiology 14
- Adipokines, Inflammation, and Metabolic Diseases 12
- Co-authors
- Dexi Liu (20 shared papers)Yongjie Ma (13 shared papers)Shen Qu (5 shared papers)Yixian Huang (1 shared paper)D Liu (3 shared papers)Le Bu (3 shared papers)Le Bu (2 shared papers)Sary Alsanea (1 shared paper)
- Journals
- Pharmaceutical Research (5 papers)The AAPS Journal (4 papers)Scientific Reports (3 papers)Gene Therapy (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Mingming Gao
42 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 104
- Physiology 491
- Biochemistry 140
- Epidemiology 535
- Oncology 307
- Biochemistry 73
Countries citing papers authored by Mingming Gao
This map shows the geographic impact of Mingming Gao'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 Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingming Gao more than expected).
Fields of papers citing papers by Mingming Gao
This network shows the impact of papers produced by Mingming Gao. 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 Gao. The network helps show where Mingming Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingming Gao, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 313 | |
| 2 | 2014 | 187 | |
| 3 | 2013 | 148 | |
| 4 | 2015 | 126 | |
| 5 | 2014 | 99 | |
| 6 | 2013 | 95 | |
| 7 | 2014 | 95 | |
| 8 | 2013 | 86 | |
| 9 | 2015 | 83 | |
| 10 | 2016 | 79 | |
| 11 | 2014 | 67 | |
| 12 | 2017 | 56 | |
| 13 | 2013 | 54 | |
| 14 | 2016 | 53 | |
| 15 | 2013 | 50 | |
| 16 | 2015 | 49 | |
| 17 | 2016 | 45 | |
| 18 | 2014 | 38 | |
| 19 | 2014 | 36 | |
| 20 | 2015 | 30 |
About Mingming Gao
Mingming Gao is a scholar working on Physiology, Epidemiology, Biochemistry, Immunology and Molecular Biology, having authored 46 papers that have together received 2.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (15 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), Lipid metabolism and biosynthesis (5 papers), Immune Cell Function and Interaction (4 papers), Cholesterol and Lipid Metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Phagocytosis and Immune Regulation (2 papers) and Nuclear Structure and Function (2 papers). The work is most often cited by research in Physiology (491 citations), Biochemistry (140 citations), Epidemiology (535 citations), Oncology (307 citations) and Biochemistry (73 citations). Mingming Gao has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Dexi Liu, Yongjie Ma, Shen Qu, Yixian Huang, D Liu, Le Bu, Le Bu, Sary Alsanea, Chaojie Liu and Hongyuan Yang. Their work appears in journals such as Pharmaceutical Research, The AAPS Journal, Scientific Reports, Gene Therapy and PLoS ONE.
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.