Meng Dai
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diet, Metabolism, and Disease
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
Papers in
-
- Electrical and Bioimpedance Tomography 50
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 12
- Co-authors
- Min Xu (30 shared papers)Yufang Bi (29 shared papers)Xiuzhen Dong (25 shared papers)Canhua Xu (26 shared papers)Guang Ning (28 shared papers)Yu Xu (24 shared papers)Tiange Wang (24 shared papers)Feng Fu (29 shared papers)
- Journals
- Physiological Measurement (9 papers)PLoS ONE (7 papers)The Journal of Clinical Endocrinology & Metabolism (5 papers)Journal of Diabetes (5 papers)Oncotarget (4 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Meng Dai
134 papers receiving 2.9k citations
Meng Dai's Hit Papers
Peers
Comparison fields: 5 of 149
- Endocrinology, Diabetes and Metabolism 339
- Epidemiology 432
- Nephrology 92
- Cardiology and Cardiovascular Medicine 264
- Physiology 277
Countries citing papers authored by Meng Dai
This map shows the geographic impact of Meng Dai'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 Meng Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Dai more than expected).
Fields of papers citing papers by Meng Dai
This network shows the impact of papers produced by Meng Dai. 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 Meng Dai. The network helps show where Meng Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng Dai, 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 140 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 197 | |
| 2 | 2015 | 140 | |
| 3 | 2012 | 126 | |
| 4 | 2013 | 113 | |
| 5 | 2017 | 101 | |
| 6 | 2014 | 80 | |
| 7 | 2006 | 77 | |
| 8 | Efficacy and safety of ciprofol vs. propofol for the induction and maintenance of general anaesthesia Hit paper breakdown → | 2023 | 61 |
| 9 | 2015 | 60 | |
| 10 | 2017 | 55 | |
| 11 | 2014 | 55 | |
| 12 | 2012 | 53 | |
| 13 | 2016 | 50 | |
| 14 | 2015 | 48 | |
| 15 | 2017 | 47 | |
| 16 | 2019 | 45 | |
| 17 | 2011 | 45 | |
| 18 | 2010 | 45 | |
| 19 | 2011 | 44 | |
| 20 | 2016 | 44 |
About Meng Dai
Meng Dai is a scholar working on Electrical and Electronic Engineering, Endocrinology, Diabetes and Metabolism, Physiology, Surgery and Pulmonary and Respiratory Medicine, having authored 140 papers that have together received 2.9k indexed citations. Recurring topics across this work include Electrical and Bioimpedance Tomography (50 papers), Hemodynamic Monitoring and Therapy (14 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Body Composition Measurement Techniques (9 papers), Flow Measurement and Analysis (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Non-Invasive Vital Sign Monitoring (6 papers) and Respiratory Support and Mechanisms (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (339 citations), Epidemiology (432 citations), Nephrology (92 citations), Cardiology and Cardiovascular Medicine (264 citations) and Physiology (277 citations). Meng Dai has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Min Xu, Yufang Bi, Xiuzhen Dong, Canhua Xu, Guang Ning, Yu Xu, Tiange Wang, Feng Fu, Jieli Lu and Weiqing Wang. Their work appears in journals such as Physiological Measurement, PLoS ONE, The Journal of Clinical Endocrinology & Metabolism, Journal of Diabetes and Oncotarget.
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.