Chun‐Ming Ma
Impact in
- Nephrology top 10%
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 13
-
- Blood Pressure and Hypertension Studies 8
- Co-authors
- Fuzai Yin (46 shared papers)Qiang Lü (34 shared papers)Xiaoli Liu (20 shared papers)Na Lü (13 shared papers)Rui Wang (7 shared papers)Elsa Valderrama (1 shared paper)al et (1 shared paper)John K. Maesaka (1 shared paper)
- Journals
- Diabetes Metabolic Syndrome and Obesity (5 papers)Frontiers in Endocrinology (4 papers)Blood Pressure Monitoring (2 papers)Annals of Human Biology (2 papers)Medicine (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Chun‐Ming Ma
58 papers receiving 786 citations
Peers
Comparison fields: 5 of 102
- Nephrology 54
- Endocrinology, Diabetes and Metabolism 118
- Clinical Biochemistry 38
- Cell Biology 79
- Orthopedics and Sports Medicine 38
Countries citing papers authored by Chun‐Ming Ma
This map shows the geographic impact of Chun‐Ming 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 Chun‐Ming Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Ming Ma more than expected).
Fields of papers citing papers by Chun‐Ming Ma
This network shows the impact of papers produced by Chun‐Ming 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 Chun‐Ming Ma. The network helps show where Chun‐Ming Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Ming 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 140 | |
| 2 | 2023 | 62 | |
| 3 | 2008 | 60 | |
| 4 | 2012 | 42 | |
| 5 | 2017 | 32 | |
| 6 | 2017 | 30 | |
| 7 | 2013 | 26 | |
| 8 | 2018 | 25 | |
| 9 | 2019 | 22 | |
| 10 | 2012 | 21 | |
| 11 | 2011 | 20 | |
| 12 | 2016 | 19 | |
| 13 | 2022 | 19 | |
| 14 | 2014 | 18 | |
| 15 | 2019 | 18 | |
| 16 | 2017 | 17 | |
| 17 | 2016 | 16 | |
| 18 | 2016 | 16 | |
| 19 | 2015 | 11 | |
| 20 | 2019 | 10 |
About Chun‐Ming Ma
Chun‐Ming Ma is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Epidemiology, Public Health, Environmental and Occupational Health and Nutrition and Dietetics, having authored 60 papers that have together received 821 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Blood Pressure and Hypertension Studies (8 papers), Obesity, Physical Activity, Diet (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Pneumonia and Respiratory Infections (4 papers), Bone health and osteoporosis research (4 papers), Sodium Intake and Health (4 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Nephrology (54 citations), Endocrinology, Diabetes and Metabolism (118 citations), Clinical Biochemistry (38 citations), Cell Biology (79 citations) and Orthopedics and Sports Medicine (38 citations). Chun‐Ming Ma has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Fuzai Yin, Qiang Lü, Xiaoli Liu, Na Lü, Rui Wang, Elsa Valderrama, al et, John K. Maesaka, Alexander Fuchs and Parinam S. Rao. Their work appears in journals such as Diabetes Metabolic Syndrome and Obesity, Frontiers in Endocrinology, Blood Pressure Monitoring, Annals of Human Biology and Medicine.
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.