Yuan Wu
- General Health Professions top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Applied Psychology top 5%
- Epidemiology
- Molecular Biology
- Co-authors
- Sheyu LiYajie DongXin SunHaoming TianAntonio NicolucciXun YaoJoey S.W. KwongGiacomo Vespasiani
- Topics
- Diabetes Management and Education (4 papers)Mobile Health and mHealth Applications (4 papers)Liver Disease Diagnosis and Treatment (2 papers)
In The Last Decade
Yuan Wu
17 papers receiving 504 citations
Peers
Comparison fields: 5 of 92
- General Health Professions 298
- Endocrinology, Diabetes and Metabolism 233
- Applied Psychology 123
- Epidemiology 120
- Molecular Biology 48
Countries citing papers authored by Yuan Wu
This map shows the geographic impact of Yuan 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 Yuan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Wu more than expected).
Fields of papers citing papers by Yuan Wu
This network shows the impact of papers produced by Yuan 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 Yuan Wu. The network helps show where Yuan Wu may publish in the future.
Co-authorship network of co-authors of Yuan Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Wu. A scholar is included among the top collaborators of Yuan 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 Yuan Wu. Yuan 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 | 2 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 17 | |
| 6 | 149 | |
| 7 | 208 | |
| 8 | 61 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | [Condition and effectiveness evaluation of acupuncture for smoking cessation]. | 10 |
| 12 | [Systematic review on control of swelling and trismus after extraction of impacted mandibular third molar by dexamethasone pericoronal injection]. | 1 |
| 13 | [Drainage for the control of complications after extraction of impacted mandibular third molar: a systematic review]. | 2 |
| 14 | 3 | |
| 15 | 39 | |
| 16 | [The relationship between lymphatic metastasis and serum vascular endothelial growth factor C and cyclooxygenase 2 expression in breast cancer]. | 4 |
| 17 | [Overexpression of the Cdc42 in the brain tissue of human with intractable temporal epilepsy]. | 5 |
| 18 | [Relationship between serum VEGF level and VEGF, COX-2 and MVD expression in breast cancer tissues]. | 1 |
| 19 | 0 | |
| 20 | 2 |
About Yuan Wu
Yuan Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Applied Psychology and Oral Surgery, having authored 20 papers that have together received 522 indexed citations. Recurring topics across this work include Diabetes Management and Education (4 papers), Mobile Health and mHealth Applications (4 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Applied Psychology (123 citations), Endocrinology, Diabetes and Metabolism (233 citations) and General Health Professions (298 citations). Yuan Wu has collaborated with scholars based in China, Italy and Sweden. Frequent co-authors include Sheyu Li, Yajie Dong, Xin Sun, Haoming Tian, Antonio Nicolucci, Xun Yao, Joey S.W. Kwong, Giacomo Vespasiani, Ling Li and Nanwei Tong. Their work appears in journals such as Biochemical Pharmacology, Review of Scientific Instruments and BMC Genomics.
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.