Shouling Wu
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Physiology
- Public Health, Environmental and Occupational Health
- Co-authors
- Yanxia LuoYong ZhouXiuhua GuoAnxin WangXingquan ZhaoJian WuJia ChenLuli Xu
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers)Cardiovascular Disease and Adiposity (11 papers)Liver Disease Diagnosis and Treatment (11 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineExperimental and Cognitive Psychology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Clinical Nutrition
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Shouling Wu
24 papers receiving 366 citations
Peers
Comparison fields: 5 of 64
- Cardiology and Cardiovascular Medicine 164
- Endocrinology, Diabetes and Metabolism 120
- Epidemiology 111
- Physiology 68
- Public Health, Environmental and Occupational Health 54
Countries citing papers authored by Shouling Wu
This map shows the geographic impact of Shouling 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 Shouling Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shouling Wu more than expected).
Fields of papers citing papers by Shouling Wu
This network shows the impact of papers produced by Shouling 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 Shouling Wu. The network helps show where Shouling Wu may publish in the future.
Co-authorship network of co-authors of Shouling Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Shouling Wu. A scholar is included among the top collaborators of Shouling Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shouling Wu. Shouling Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 10 | |
| 14 | 0 | |
| 15 | 39 | |
| 16 | 20 | |
| 17 | 47 | |
| 18 | 0 | |
| 19 | 39 | |
| 20 | 9 |
About Shouling Wu
Shouling Wu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 37 papers that have together received 373 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Cardiovascular Disease and Adiposity (11 papers) and Liver Disease Diagnosis and Treatment (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (120 citations), Cardiology and Cardiovascular Medicine (164 citations) and Experimental and Cognitive Psychology (53 citations). Shouling Wu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yanxia Luo, Yong Zhou, Xiuhua Guo, Anxin Wang, Xingquan Zhao, Jian Wu, Jia Chen, Luli Xu, Shuohua Chen and Dayi Hu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.
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.