Wan Yu
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
-
- RNA modifications and cancer 6
-
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 8
- Co-authors
- Sheung Tat Fan (15 shared papers)David Ho (8 shared papers)Ronnie T. P. Poon (6 shared papers)Zhen Yang (6 shared papers)Michael Ng (5 shared papers)Tian Xu (1 shared paper)Sheng Zhang (1 shared paper)Rodney A. Stewart (1 shared paper)
- Journals
- Hepatology (3 papers)Clinical Cancer Research (2 papers)International Migration (2 papers)Biomedicine & Pharmacotherapy (2 papers)PeerJ (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wan Yu
67 papers receiving 3.5k citations
Wan Yu's Hit Papers
Peers
Comparison fields: 5 of 144
- Hepatology 637
- Cancer Research 925
- Cell Biology 731
- Oncology 1.2k
- Molecular Biology 1.7k
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 70 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 | 963 |
| 2 | Identifying tumor suppressors in genetic mosaics: the Drosophila lats gene encodes a putative protein kinase Hit paper breakdown → | 1995 | 688 |
| 3 | 2008 | 279 | |
| 4 | 2011 | 126 | |
| 5 | 2006 | 113 | |
| 6 | 2011 | 104 | |
| 7 | 2004 | 96 | |
| 8 | 2004 | 88 | |
| 9 | 2017 | 80 | |
| 10 | 2012 | 75 | |
| 11 | 2013 | 55 | |
| 12 | 2005 | 49 | |
| 13 | 2016 | 43 | |
| 14 | 2011 | 36 | |
| 15 | 2019 | 34 | |
| 16 | 2012 | 34 | |
| 17 | 2020 | 31 | |
| 18 | 2006 | 30 | |
| 19 | 2004 | 29 | |
| 20 | 2014 | 29 |
About Wan Yu
Wan Yu is a scholar working on Molecular Biology, Cancer Research, Sociology and Political Science, Epidemiology and Immunology, having authored 70 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Migration and Labor Dynamics (9 papers), Migration, Ethnicity, and Economy (9 papers), MicroRNA in disease regulation (8 papers), Circadian rhythm and melatonin (6 papers), RNA modifications and cancer (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers) and Diaspora, migration, transnational identity (5 papers). The work is most often cited by research in Hepatology (637 citations), Cancer Research (925 citations), Cell Biology (731 citations), Oncology (1.2k citations) and Molecular Biology (1.7k citations). Wan Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Sheung Tat Fan, David Ho, Ronnie T. P. Poon, Zhen Yang, Michael Ng, Tian Xu, Sheng Zhang, Rodney A. Stewart, Weiyi Wang and Chi Tat Lam. Their work appears in journals such as Hepatology, Clinical Cancer Research, International Migration, Biomedicine & Pharmacotherapy and PeerJ.
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.