Wen Yang
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 1%
- Liver physiology and pathology
Papers in
-
- RNA Research and Splicing 4
- CRISPR and Genetic Engineering 4
- Genetics 17
- Virus-based gene therapy research 10
- Diabetes and associated disorders 4
- Co-authors
- Hongyang Wang (13 shared papers)Xin Wei Wang (2 shared papers)Marshonna Forgues (2 shared papers)Anuradha Budhu (2 shared papers)Qing‐Hai Ye (2 shared papers)Junfang Ji (2 shared papers)Lola M. Reid (2 shared papers)Taro Yamashita (2 shared papers)
- Journals
- International Journal of Cancer (4 papers)Hepatology (4 papers)Virology (3 papers)Journal of Hepatology (2 papers)Animals (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Wen Yang
69 papers receiving 3.7k citations
Wen Yang's Hit Papers
Peers
Comparison fields: 5 of 109
- Cancer Research 997
- Hepatology 468
- Oncology 928
- Immunology 592
- Molecular Biology 1.7k
Countries citing papers authored by Wen Yang
This map shows the geographic impact of Wen Yang'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 Wen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Yang more than expected).
Fields of papers citing papers by Wen Yang
This network shows the impact of papers produced by Wen Yang. 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 Wen Yang. The network helps show where Wen Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen Yang, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | EpCAM-Positive Hepatocellular Carcinoma Cells Are Tumor-Initiating Cells With Stem/Progenitor Cell Features Hit paper breakdown → | 2008 | 965 |
| 2 | 2009 | 438 | |
| 3 | 2010 | 278 | |
| 4 | 2008 | 198 | |
| 5 | 2001 | 168 | |
| 6 | 2016 | 127 | |
| 7 | 2007 | 114 | |
| 8 | 2012 | 106 | |
| 9 | 2017 | 105 | |
| 10 | 2015 | 105 | |
| 11 | 2014 | 91 | |
| 12 | 2016 | 83 | |
| 13 | 2014 | 69 | |
| 14 | 2015 | 66 | |
| 15 | 2006 | 51 | |
| 16 | 2016 | 50 | |
| 17 | 2009 | 49 | |
| 18 | 1983 | 43 | |
| 19 | 2008 | 38 | |
| 20 | 1997 | 37 |
About Wen Yang
Wen Yang is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Surgery, having authored 71 papers that have together received 3.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), HIV Research and Treatment (6 papers), Diabetes and associated disorders (4 papers), Cancer Cells and Metastasis (4 papers), RNA Research and Splicing (4 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers), Immune Response and Inflammation (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Cancer Research (997 citations), Hepatology (468 citations), Oncology (928 citations), Immunology (592 citations) and Molecular Biology (1.7k citations). Wen Yang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hongyang Wang, Xin Wei Wang, Marshonna Forgues, Anuradha Budhu, Qing‐Hai Ye, Junfang Ji, Lola M. Reid, Taro Yamashita, Hong‐Yang Wang and Shuichi Kaneko. Their work appears in journals such as International Journal of Cancer, Hepatology, Virology, Journal of Hepatology and Animals.
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.