Wan Yu
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 5
-
- Migration and Labor Dynamics 13
- Migration, Ethnicity, and Economy 13
- Co-authors
- Sheung Tat Fan (15 shared papers)David W. Ho (8 shared papers)Zhen Yang (6 shared papers)Ronnie T. P. Poon (6 shared papers)Michael Ng (5 shared papers)Sheng Zhang (1 shared paper)Rodney A. Stewart (1 shared paper)Tian Xu (1 shared paper)
- Journals
- Hepatology (3 papers)PeerJ (2 papers)Annals of Surgery (2 papers)International Journal of COPD (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wan Yu
72 papers receiving 3.6k citations
Wan Yu's Hit Papers
Peers
Comparison fields: 5 of 146
- Hepatology 569
- Cancer Research 795
- Oncology 1.1k
- Cell Biology 720
- Molecular Biology 1.6k
Countries citing papers authored by Wan Yu
This map shows the geographic impact of Wan Yu'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 Wan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan Yu more than expected).
Fields of papers citing papers by Wan Yu
This network shows the impact of papers produced by Wan Yu. 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 Wan Yu. The network helps show where Wan Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wan Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Significance of CD90+ Cancer Stem Cells in Human Liver Cancer Hit paper breakdown → | 2008 | 1019 |
| 2 | Identifying tumor suppressors in genetic mosaics: the Drosophila lats gene encodes a putative protein kinase Hit paper breakdown → | 1995 | 704 |
| 3 | 2008 | 303 | |
| 4 | 2011 | 130 | |
| 5 | 2006 | 118 | |
| 6 | 2011 | 107 | |
| 7 | 2004 | 98 | |
| 8 | 2004 | 89 | |
| 9 | 2017 | 80 | |
| 10 | 2012 | 78 | |
| 11 | 2013 | 58 | |
| 12 | 2005 | 50 | |
| 13 | 2016 | 43 | |
| 14 | 2019 | 37 | |
| 15 | 2012 | 36 | |
| 16 | 2011 | 36 | |
| 17 | 2004 | 32 | |
| 18 | 2017 | 31 | |
| 19 | 2006 | 31 | |
| 20 | 2020 | 31 |
About Wan Yu
Wan Yu is a scholar working on Molecular Biology, Sociology and Political Science, Cancer Research, Oncology and Physiology, having authored 75 papers that have together received 3.7k indexed citations. Recurring topics across this work include Migration and Labor Dynamics (13 papers), Migration, Ethnicity, and Economy (13 papers), Cancer-related molecular mechanisms research (8 papers), Diaspora, migration, transnational identity (7 papers), MicroRNA in disease regulation (7 papers), Circadian rhythm and melatonin (6 papers), RNA modifications and cancer (5 papers) and Cancer Cells and Metastasis (4 papers). The work is most often cited by research in Hepatology (569 citations), Cancer Research (795 citations), Oncology (1.1k citations), Cell Biology (720 citations) and Molecular Biology (1.6k citations). Wan Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Sheung Tat Fan, David W. Ho, Zhen Yang, Ronnie T. P. Poon, Michael Ng, Sheng Zhang, Rodney A. Stewart, Tian Xu, Weiyi Wang and Chi Tat Lam. Their work appears in journals such as Hepatology, PeerJ, Annals of Surgery, International Journal of COPD and Clinical Cancer 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.