Minna Cheng
Impact in
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- Vaccine Coverage and Hesitancy
Papers in
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- Blood Pressure and Hypertension Studies 6
- Cardiovascular Health and Risk Factors 3
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- Diabetes, Cardiovascular Risks, and Lipoproteins 4
- Co-authors
- Yan Shi (17 shared papers)Qinghua Yan (10 shared papers)Yuheng Wang (8 shared papers)Yingnan Jia (4 shared papers)Yanyun Li (4 shared papers)Chen Fu (4 shared papers)Fei Wu (3 shared papers)Shuangyuan Sun (3 shared papers)
- Journals
- BMC Public Health (3 papers)Diabetology & Metabolic Syndrome (2 papers)International Journal of Behavioral Nutrition and Physical Activity (2 papers)Hypertension Research (2 papers)Journal of Clinical Hypertension (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Minna Cheng
30 papers receiving 215 citations
Peers
Comparison fields: 5 of 75
- Health Informatics 5
- Health 13
- Physiology 33
- Epidemiology 34
- Modeling and Simulation 5
Countries citing papers authored by Minna Cheng
This map shows the geographic impact of Minna Cheng'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 Minna Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minna Cheng more than expected).
Fields of papers citing papers by Minna Cheng
This network shows the impact of papers produced by Minna Cheng. 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 Minna Cheng. The network helps show where Minna Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Minna Cheng, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 49 | |
| 2 | 2020 | 43 | |
| 3 | 2024 | 13 | |
| 4 | 2021 | 12 | |
| 5 | 2020 | 11 | |
| 6 | 2020 | 9 | |
| 7 | 2024 | 7 | |
| 8 | 2020 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2021 | 6 | |
| 11 | The changing trend of the dietary patterns in Shanghai residents | 2006 | 5 |
| 12 | 2023 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2010 | 3 | |
| 20 | 2022 | 3 |
About Minna Cheng
Minna Cheng is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Epidemiology, Public Health, Environmental and Occupational Health and Physiology, having authored 33 papers that have together received 217 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cardiovascular Health and Risk Factors (3 papers), Physical Activity and Health (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Folate and B Vitamins Research (1 paper), Obesity, Physical Activity, Diet (1 paper) and Healthcare Systems and Public Health (1 paper). The work is most often cited by research in Health Informatics (5 citations), Health (13 citations), Physiology (33 citations), Epidemiology (34 citations) and Modeling and Simulation (5 citations). Minna Cheng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yan Shi, Qinghua Yan, Yuheng Wang, Yingnan Jia, Yanyun Li, Chen Fu, Fei Wu, Shuangyuan Sun, Ding Ding and Li Zhang. Their work appears in journals such as BMC Public Health, Diabetology & Metabolic Syndrome, International Journal of Behavioral Nutrition and Physical Activity, Hypertension Research and Journal of Clinical Hypertension.
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.