Zhaosu Wu
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- Blood Pressure and Hypertension Studies 4
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- Diabetes, Cardiovascular Risks, and Lipoproteins 6
- Diabetes Management and Research 2
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment 2
- Acute Ischemic Stroke Management 2
- Rehabilitation top 10%
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- Sodium Intake and Health 3
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- Mitochondrial Function and Pathology 2
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- Lipoproteins and Cardiovascular Health 2
- Co-authors
- Jing LiuDong ZhaoZhechun ZengJiayi SunJun LiuWei WangJun ChengLisheng Liu
- Journals
- Clinical and Experimental Hypertension (2 papers)Chronic Illness (1 paper)Atherosclerosis (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Zhaosu Wu
18 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Cardiology and Cardiovascular Medicine 405
- Endocrinology, Diabetes and Metabolism 291
- Epidemiology 318
- Rehabilitation 51
- Neurology 50
Countries citing papers authored by Zhaosu Wu
This map shows the geographic impact of Zhaosu Wu'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 Zhaosu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaosu Wu more than expected).
Fields of papers citing papers by Zhaosu Wu
This network shows the impact of papers produced by Zhaosu Wu. 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 Zhaosu Wu. The network helps show where Zhaosu Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhaosu Wu, 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 | China cardiovascular diseases report 2018: an updated summary.breakdown → | 2020 | 311 |
| 2 | 2016 | 9 | |
| 3 | 2014 | 85 | |
| 4 | 2013 | 4 | |
| 5 | 2011 | 4 | |
| 6 | 2011 | 17 | |
| 7 | 2010 | 20 | |
| 8 | 2010 | 83 | |
| 9 | 2009 | 6 | |
| 10 | 2008 | 298 | |
| 11 | 2008 | 3 | |
| 12 | [Association between plasma fibrinogen concentration and ten-year change in blood pressure]. | 2008 | 1 |
| 13 | 2007 | 21 | |
| 14 | 2007 | 138 | |
| 15 | 2006 | 63 | |
| 16 | 2005 | 20 | |
| 17 | [A study on the incidence of cardiovascular disease on the metabolic syndrome in 11 provinces in China]. | 2003 | 9 |
| 18 | 1992 | 36 |
About Zhaosu Wu
Zhaosu Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Applied Psychology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Blood Pressure and Hypertension Studies (4 papers), Sodium Intake and Health (3 papers), Mitochondrial Function and Pathology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Diabetes Management and Research (2 papers) and Acute Ischemic Stroke Management (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (405 citations), Endocrinology, Diabetes and Metabolism (291 citations) and Epidemiology (318 citations). Zhaosu Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jing Liu, Dong Zhao, Zhechun Zeng, Jiayi Sun, Jun Liu, Wei Wang, Jun Cheng, Lisheng Liu, Scott M. Grundy and Shengshou Hu. Their work appears in journals such as Clinical and Experimental Hypertension, Chronic Illness, Atherosclerosis, Drugs and Diabetes Care.
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.