Ang Ma
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Pharmacology top 10%
- Fungal Biology and Applications
- Cannabis and Cannabinoid Research
Papers in
-
- Peroxisome Proliferator-Activated Receptors 3
- Metabolism, Diabetes, and Cancer 3
-
- Fungal Biology and Applications 5
- Co-authors
- Baoxue Yang (9 shared papers)Min Li (6 shared papers)Haibo Zhu (2 shared papers)Jinzhao He (5 shared papers)Shuqian Lin (5 shared papers)Xiaoqiang Geng (3 shared papers)Yuanyuan An (2 shared papers)Jianhua Ran (3 shared papers)
- Journals
- Acta Pharmacologica Sinica (3 papers)Journal of Lipid Research (2 papers)Food Bioscience (1 paper)Scientific Reports (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Ang Ma
23 papers receiving 571 citations
Peers
Comparison fields: 5 of 96
- Nephrology 62
- Pharmacology 109
- Complementary and alternative medicine 41
- Geriatrics and Gerontology 18
- Neurology 36
Countries citing papers authored by Ang Ma
This map shows the geographic impact of Ang Ma'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 Ang Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ang Ma more than expected).
Fields of papers citing papers by Ang Ma
This network shows the impact of papers produced by Ang Ma. 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 Ang Ma. The network helps show where Ang Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ang Ma, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 147 | |
| 2 | 2017 | 69 | |
| 3 | 2012 | 65 | |
| 4 | 2015 | 58 | |
| 5 | 2017 | 37 | |
| 6 | 2021 | 35 | |
| 7 | 2021 | 25 | |
| 8 | 2015 | 25 | |
| 9 | 2022 | 18 | |
| 10 | 2020 | 16 | |
| 11 | 2020 | 13 | |
| 12 | 2019 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2024 | 11 | |
| 15 | 2022 | 9 | |
| 16 | 2017 | 8 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2021 | 2 |
About Ang Ma
Ang Ma is a scholar working on Molecular Biology, Pharmacology, Complementary and alternative medicine, Surgery and Cancer Research, having authored 26 papers that have together received 577 indexed citations. Recurring topics across this work include Fungal Biology and Applications (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Complementary and Alternative Medicine Studies (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Pancreatic function and diabetes (2 papers), Advanced Graph Neural Networks (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Nephrology (62 citations), Pharmacology (109 citations), Complementary and alternative medicine (41 citations), Geriatrics and Gerontology (18 citations) and Neurology (36 citations). Ang Ma has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Baoxue Yang, Min Li, Haibo Zhu, Jinzhao He, Shuqian Lin, Xiaoqiang Geng, Yuanyuan An, Haibo Zhu, Jianhua Ran and Yingli Jia. Their work appears in journals such as Acta Pharmacologica Sinica, Journal of Lipid Research, Food Bioscience, Scientific Reports and Journal of Pharmacology and Experimental Therapeutics.
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.