Yangfeng Wu

9.6k citations
184 papers · 5.0k indexed · h-index 35

Yangfeng Wu

173 papers receiving 4.9k citations

Peers

Yangfeng Wu
Comparison fields: 5 of 172
  • Cardiology and Cardiovascular Medicine 1.9k
  • Nutrition and Dietetics 1.1k
  • Public Health, Environmental and Occupational Health 1.4k
  • Endocrinology, Diabetes and Metabolism 700
  • Family Practice 78
Replace W. M. Monique Verschuren with:
W. M. Monique Verschuren Netherlands
Andrew E. Moran United States
Dong Zhao China
Lorraine G. Ogden United States
Paul Sherliker United Kingdom
Kim A. Williams United States
Zheng Bian China
Michael D. Miedema United States
John W. McEvoy United States
Jim Halsey United Kingdom
Yangfeng Wu relative to W. M. Monique Verschuren Netherlands W. M. Monique Verschuren's profile →
Citations per field
00.5×1.5×
W. M. Monique Verschuren · 1×
Citations per year

Countries citing papers authored by Yangfeng Wu

Since Specialization
Citations

This map shows the geographic impact of Yangfeng 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 Yangfeng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangfeng Wu more than expected).

Fields of papers citing papers by Yangfeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yangfeng 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 Yangfeng Wu. The network helps show where Yangfeng Wu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Yangfeng Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yangfeng Wu Line = papers co-authored together Yangfeng Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20240
5 20244
6 20248
7 202234
8 20221
9 202113
10 20212
11 202012
12 20204
13 20207
14 201980
15 201916
16 201913
17 201614
18 201346
19
[Prevalence and trend of metabolic syndrome in middle-aged Chinese population].
200913
20 199517

About Yangfeng Wu

Yangfeng Wu is a scholar working on Cardiology and Cardiovascular Medicine, Nutrition and Dietetics, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Family Practice, having authored 184 papers that have together received 5.0k indexed citations. Recurring topics across this work include Sodium Intake and Health (42 papers), Blood Pressure and Hypertension Studies (38 papers), Nutritional Studies and Diet (29 papers), Acute Myocardial Infarction Research (16 papers), Lipoproteins and Cardiovascular Health (15 papers), Health Systems, Economic Evaluations, Quality of Life (15 papers), Cardiovascular Health and Disease Prevention (13 papers) and Obesity, Physical Activity, Diet (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.9k citations), Nutrition and Dietetics (1.1k citations), Public Health, Environmental and Occupational Health (1.4k citations), Endocrinology, Diabetes and Metabolism (700 citations) and Family Practice (78 citations). Yangfeng Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Rachel Huxley, Beifan Zhou, Xian Li, Liancheng Zhao, Liancheng Zhao, Gaoqiang Xie, Jun Yang, Dorairaj Prabhakaran, Lijing L. Yan and Stephen MacMahon. Their work appears in journals such as BMJ Open, PLoS ONE, Journal of Hypertension, International Journal of Cardiology and Hypertension Research.

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.

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