Xin Wei Wang
Impact in
- Cancer Research top 0.05%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 0.1%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Cancer Research 102
- MicroRNA in disease regulation 41
- Cancer Genomics and Diagnostics 31
- Cancer-related molecular mechanisms research 30
- Hepatology 45
- Hepatocellular Carcinoma Treatment and Prognosis 24
- Co-authors
- Anuradha BudhuMarshonna ForguesCurtis C. HarrisTaro YamashitaJunfang JiQing‐Hai YeHu‐Liang JiaC C Harris
- Journals
- Hepatology (27 papers)Scientific Reports (11 papers)Proceedings of the National Academy of Sciences (11 papers)Cancer Research (10 papers)Oncogene (9 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Xin Wei Wang
345 papers receiving 26.4k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Cancer Research 8.7k
- Hepatology 3.9k
- Oncology 8.0k
- Molecular Biology 15.4k
- Geriatrics and Gerontology 798
Countries citing papers authored by Xin Wei Wang
This map shows the geographic impact of Xin Wei Wang'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 Xin Wei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Wei Wang more than expected).
Fields of papers citing papers by Xin Wei Wang
This network shows the impact of papers produced by Xin Wei Wang. 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 Xin Wei Wang. The network helps show where Xin Wei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Wei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 18 | |
| 13 | 2020 | 21 | |
| 14 | 2013 | 111 | |
| 15 | A Unique Metastasis Gene Signature Enables Prediction of Tumor Relapse in Early-Stage Hepatocellular Carcinoma Patients Hit paper breakdown → | 2010 | 757 |
| 16 | 2010 | 58 | |
| 17 | 2009 | 319 | |
| 18 | EpCAM and α-Fetoprotein Expression Defines Novel Prognostic Subtypes of Hepatocellular Carcinoma Hit paper breakdown → | 2008 | 577 |
| 19 | 2007 | 169 | |
| 20 | 2005 | 87 |
About Xin Wei Wang
Xin Wei Wang is a scholar working on Cancer Research, Hepatology, Oncology, Molecular Biology and Biotechnology, having authored 359 papers that have together received 26.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (41 papers), Cancer-related Molecular Pathways (39 papers), RNA modifications and cancer (34 papers), Cancer Genomics and Diagnostics (31 papers), Cancer-related molecular mechanisms research (30 papers), Hepatocellular Carcinoma Treatment and Prognosis (24 papers), DNA Repair Mechanisms (23 papers) and Hepatitis B Virus Studies (20 papers). The work is most often cited by research in Cancer Research (8.7k citations), Hepatology (3.9k citations), Oncology (8.0k citations), Molecular Biology (15.4k citations) and Geriatrics and Gerontology (798 citations). Xin Wei Wang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Anuradha Budhu, Marshonna Forgues, Curtis C. Harris, Taro Yamashita, Junfang Ji, Qing‐Hai Ye, Hu‐Liang Jia, C C Harris, Lun–Xiu Qin and Tim F. Greten. Their work appears in journals such as Hepatology, Scientific Reports, Proceedings of the National Academy of Sciences, Cancer Research and Oncogene.
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.