Hsei–Wei Wang
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 2%
- Viral-associated cancers and disorders
- Cancer Cells and Metastasis
Papers in
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- RNA modifications and cancer 5
- Angiogenesis and VEGF in Cancer 3
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- Cancer-related molecular mechanisms research 8
- Cancer Genomics and Diagnostics 3
- Co-authors
- Chris Boshoff (5 shared papers)Shing‐Jyh Chang (12 shared papers)Wei‐Chung Cheng (6 shared papers)I‐Fang Chung (6 shared papers)Dimitra Bourboulia (2 shared papers)Matthew Trotter (2 shared papers)Dimitris Lagos (2 shared papers)Shung‐Haur Yang (3 shared papers)
- Journals
- Nucleic Acids Research (6 papers)BMC Genomics (4 papers)Blood (3 papers)Journal of Virology (2 papers)Journal of Surgical Oncology (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Hsei–Wei Wang
42 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 111
- Cancer Research 624
- Oncology 943
- Genetics 346
- Molecular Biology 1.1k
- Developmental Neuroscience 60
Countries citing papers authored by Hsei–Wei Wang
This map shows the geographic impact of Hsei–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 Hsei–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 Hsei–Wei Wang more than expected).
Fields of papers citing papers by Hsei–Wei Wang
This network shows the impact of papers produced by Hsei–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 Hsei–Wei Wang. The network helps show where Hsei–Wei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsei–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
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 377 | |
| 2 | 2011 | 260 | |
| 3 | 2013 | 257 | |
| 4 | 2002 | 168 | |
| 5 | 2011 | 147 | |
| 6 | 2014 | 125 | |
| 7 | 2015 | 119 | |
| 8 | 2008 | 110 | |
| 9 | 2010 | 88 | |
| 10 | 2011 | 85 | |
| 11 | 2015 | 85 | |
| 12 | 2015 | 79 | |
| 13 | 2011 | 73 | |
| 14 | 2012 | 71 | |
| 15 | 2004 | 68 | |
| 16 | 2008 | 61 | |
| 17 | 2013 | 61 | |
| 18 | 2012 | 60 | |
| 19 | 2011 | 54 | |
| 20 | 2006 | 50 |
About Hsei–Wei Wang
Hsei–Wei Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Epidemiology, having authored 43 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Viral-associated cancers and disorders (7 papers), Mesenchymal stem cell research (5 papers), RNA modifications and cancer (5 papers), Cytomegalovirus and herpesvirus research (4 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Cells and Metastasis (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Cancer Research (624 citations), Oncology (943 citations), Genetics (346 citations), Molecular Biology (1.1k citations) and Developmental Neuroscience (60 citations). Hsei–Wei Wang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Chris Boshoff, Shing‐Jyh Chang, Wei‐Chung Cheng, I‐Fang Chung, Dimitra Bourboulia, Matthew Trotter, Dimitris Lagos, Shung‐Haur Yang, Kari Alitalo and Stephen J. Elliman. Their work appears in journals such as Nucleic Acids Research, BMC Genomics, Blood, Journal of Virology and Journal of Surgical Oncology.
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.