Xingyu Wang
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
Papers in
-
- Mathematical and Theoretical Epidemiology and Ecology Models 3
- Obesity, Physical Activity, Diet 1
- Genetics 3
- Evolution and Genetic Dynamics 2
- Co-authors
- Salim Yusuf (3 shared papers)Steven Hawken (1 shared paper)Khawar Kazmi (1 shared paper)Э. Г. Волкова (1 shared paper)Jeffrey L. Probstfield (1 shared paper)Krisela Steyn (1 shared paper)Stephanie Ôunpuu (1 shared paper)Matthew McQueen (1 shared paper)
- Journals
- Journal of Computational Physics (1 paper)International Journal of Biomathematics (1 paper)Neurology (1 paper)Nutrition Metabolism and Cardiovascular Diseases (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xingyu Wang
16 papers receiving 816 citations
Xingyu Wang's Hit Papers
Peers
Comparison fields: 5 of 107
- Endocrinology, Diabetes and Metabolism 187
- Nephrology 47
- Statistics and Probability 58
- Cardiology and Cardiovascular Medicine 110
- Statistics, Probability and Uncertainty 35
Countries citing papers authored by Xingyu Wang
This map shows the geographic impact of Xingyu Wang'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 Xingyu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingyu Wang more than expected).
Fields of papers citing papers by Xingyu Wang
This network shows the impact of papers produced by Xingyu Wang. 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 Xingyu Wang. The network helps show where Xingyu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingyu Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Lipids, lipoproteins, and apolipoproteins as risk markers of myocardial infarction in 52 countries (the INTERHEART study): a case-control study Hit paper breakdown → | 2008 | 617 |
| 2 | 2018 | 58 | |
| 3 | 2011 | 57 | |
| 4 | 2011 | 37 | |
| 5 | 2017 | 19 | |
| 6 | 2016 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2021 | 9 | |
| 9 | 2016 | 8 | |
| 10 | 2022 | 5 | |
| 11 | 2012 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2012 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 1 | |
| 16 | 2011 | 1 |
About Xingyu Wang
Xingyu Wang is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Epidemiology and Statistics and Probability, having authored 16 papers that have together received 850 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Fractional Differential Equations Solutions (2 papers), Evolution and Genetic Dynamics (2 papers), Advanced Statistical Methods and Models (2 papers), Cardiac Imaging and Diagnostics (1 paper), Obesity, Physical Activity, Diet (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Multi-Criteria Decision Making (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (187 citations), Nephrology (47 citations), Statistics and Probability (58 citations), Cardiology and Cardiovascular Medicine (110 citations) and Statistics, Probability and Uncertainty (35 citations). Xingyu Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Salim Yusuf, Steven Hawken, Khawar Kazmi, Э. Г. Волкова, Jeffrey L. Probstfield, Krisela Steyn, Stephanie Ôunpuu, Matthew McQueen, Mohammad Hasani and John E. Sanderson. Their work appears in journals such as Journal of Computational Physics, International Journal of Biomathematics, Neurology, Nutrition Metabolism and Cardiovascular Diseases 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.