Yuankai Wu
- Epidemiology top 2%
- Hepatology top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Pathology and Forensic Medicine top 10%
- Molecular Biology
- Co-authors
- Ramsey CheungChristopher D StaveMindie H. NguyenLinda HenryBiyao ZouYee Hui YeoJie LiSam Trinh
- Topics
- Liver Disease Diagnosis and Treatment (23 papers)Hepatitis C virus research (20 papers)Hepatitis B Virus Studies (19 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yuankai Wu
33 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Epidemiology 982
- Hepatology 472
- Endocrinology, Diabetes and Metabolism 383
- Pathology and Forensic Medicine 193
- Molecular Biology 168
Countries citing papers authored by Yuankai Wu
This map shows the geographic impact of Yuankai 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 Yuankai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuankai Wu more than expected).
Fields of papers citing papers by Yuankai Wu
This network shows the impact of papers produced by Yuankai 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 Yuankai Wu. The network helps show where Yuankai Wu may publish in the future.
Co-authorship network of co-authors of Yuankai Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yuankai Wu. A scholar is included among the top collaborators of Yuankai 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 Yuankai Wu. Yuankai 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 34 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 18 | |
| 8 | Global incidence of non-alcoholic fatty liver disease: A systematic review and meta-analysis of 63 studies and 1,201,807 personsbreakdown → | 159 |
| 9 | 11 | |
| 10 | 6 | |
| 11 | 49 | |
| 12 | 5 | |
| 13 | 75 | |
| 14 | Global prevalence, incidence, and outcomes of non-obese or lean non-alcoholic fatty liver disease: a systematic review and meta-analysisbreakdown → | 586 |
| 15 | 20 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 47 | |
| 20 | Implementation and analysis of range-finding based on infrared techniques | 3 |
About Yuankai Wu
Yuankai Wu is a scholar working on Hepatology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (23 papers), Hepatitis C virus research (20 papers) and Hepatitis B Virus Studies (19 papers). The work is most often cited by research in Hepatology (472 citations), Epidemiology (982 citations) and Endocrinology, Diabetes and Metabolism (383 citations). Yuankai Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ramsey Cheung, Christopher D Stave, Mindie H. Nguyen, Linda Henry, Biyao Zou, Yee Hui Yeo, Jie Li, Sam Trinh, Nicholas Chien and Leslie Y. Kam. Their work appears in journals such as PLoS ONE, Hepatology and Journal of Hepatology.
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.