Shih‐Wei Wang
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Chemokine receptors and signaling
Papers in
-
- Angiogenesis and VEGF in Cancer 31
- Connective Tissue Growth Factor Research 11
- Oncology 39
- Lymphatic System and Diseases 16
- Co-authors
- Chih‐Hsin Tang (67 shared papers)Chun‐Hao Tsai (21 shared papers)Yi‐Chin Fong (22 shared papers)Chih‐Yang Lin (20 shared papers)An‐Chen Chang (11 shared papers)Shih‐Chia Liu (15 shared papers)Yuan‐Li Huang (9 shared papers)Wei-Cheng Chen (14 shared papers)
- Journals
- Oncotarget (11 papers)Biochemical Pharmacology (8 papers)International Journal of Molecular Sciences (7 papers)Cells (7 papers)Journal of Natural Products (6 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Shih‐Wei Wang
196 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 151
- Cancer Research 855
- Oncology 816
- Pharmacology 485
- Rheumatology 414
- Molecular Biology 2.0k
Countries citing papers authored by Shih‐Wei Wang
This map shows the geographic impact of Shih‐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 Shih‐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 Shih‐Wei Wang more than expected).
Fields of papers citing papers by Shih‐Wei Wang
This network shows the impact of papers produced by Shih‐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 Shih‐Wei Wang. The network helps show where Shih‐Wei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shih‐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 203 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 292 | |
| 2 | 2014 | 133 | |
| 3 | 2018 | 115 | |
| 4 | 2006 | 108 | |
| 5 | 2012 | 102 | |
| 6 | 2012 | 86 | |
| 7 | 2020 | 82 | |
| 8 | 2013 | 82 | |
| 9 | 2019 | 81 | |
| 10 | 2015 | 81 | |
| 11 | 2015 | 77 | |
| 12 | 2017 | 74 | |
| 13 | 2016 | 70 | |
| 14 | 2018 | 68 | |
| 15 | 2014 | 68 | |
| 16 | 2017 | 66 | |
| 17 | 2014 | 66 | |
| 18 | 2020 | 64 | |
| 19 | 2015 | 63 | |
| 20 | 2018 | 63 |
About Shih‐Wei Wang
Shih‐Wei Wang is a scholar working on Molecular Biology, Oncology, Pharmacology, Cancer Research and Electrical and Electronic Engineering, having authored 203 papers that have together received 5.0k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (31 papers), Microbial Natural Products and Biosynthesis (17 papers), Lymphatic System and Diseases (16 papers), Semiconductor materials and devices (12 papers), Marine Sponges and Natural Products (11 papers), MicroRNA in disease regulation (11 papers), Fungal Biology and Applications (11 papers) and Connective Tissue Growth Factor Research (11 papers). The work is most often cited by research in Cancer Research (855 citations), Oncology (816 citations), Pharmacology (485 citations), Rheumatology (414 citations) and Molecular Biology (2.0k citations). Shih‐Wei Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chih‐Hsin Tang, Chun‐Hao Tsai, Yi‐Chin Fong, Chih‐Yang Lin, An‐Chen Chang, Shih‐Chia Liu, Yuan‐Li Huang, Wei-Cheng Chen, Huey-En Tzeng and Chen‐Ming Su. Their work appears in journals such as Oncotarget, Biochemical Pharmacology, International Journal of Molecular Sciences, Cells and Journal of Natural Products.
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.