Alexander Wu
Impact in
- Geriatrics and Gerontology top 10%
-
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 10
- Cancer Cells and Metastasis 9
-
- Epigenetics and DNA Methylation 3
- Co-authors
- Woojung Shin (4 shared papers)Hyun Jung Kim (4 shared papers)Hong Koh (3 shared papers)Youngwon Ju (1 shared paper)Joohoon Kim (1 shared paper)Charles R. Foster (1 shared paper)So‐Youn Min (3 shared papers)Yong Cheol Shin (3 shared papers)
- Journals
- Evidence-based Complementary and Alternative Medicine (2 papers)iScience (1 paper)Scientific Reports (1 paper)Biotechnology and Applied Biochemistry (1 paper)Journal of the American Academy of Dermatology (1 paper)
- Partner nations
- United StatesTaiwanSouth Korea
In The Last Decade
Alexander Wu
14 papers receiving 467 citations
Peers
Comparison fields: 5 of 91
- Geriatrics and Gerontology 26
- Cancer Research 77
- Oncology 123
- Biomedical Engineering 192
- Molecular Biology 239
Countries citing papers authored by Alexander Wu
This map shows the geographic impact of Alexander Wu'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 Alexander Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Wu more than expected).
Fields of papers citing papers by Alexander Wu
This network shows the impact of papers produced by Alexander Wu. 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 Alexander Wu. The network helps show where Alexander Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Wu, 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 | 2019 | 147 | |
| 2 | 2020 | 66 | |
| 3 | 2015 | 62 | |
| 4 | 2020 | 44 | |
| 5 | 2018 | 29 | |
| 6 | 2015 | 29 | |
| 7 | 2013 | 27 | |
| 8 | 2013 | 24 | |
| 9 | 2020 | 22 | |
| 10 | 1996 | 18 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 2 | |
| 13 | 2013 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2024 | 0 |
About Alexander Wu
Alexander Wu is a scholar working on Oncology, Molecular Biology, Cancer Research, Biomedical Engineering and Rheumatology, having authored 16 papers that have together received 479 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), 3D Printing in Biomedical Research (4 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (2 papers), Cancer Genomics and Diagnostics (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Spondyloarthritis Studies and Treatments (2 papers). The work is most often cited by research in Geriatrics and Gerontology (26 citations), Cancer Research (77 citations), Oncology (123 citations), Biomedical Engineering (192 citations) and Molecular Biology (239 citations). Alexander Wu has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Woojung Shin, Hyun Jung Kim, Hong Koh, Youngwon Ju, Joohoon Kim, Charles R. Foster, So‐Youn Min, Yong Cheol Shin, Wei‐Hwa Lee and Chi‐Tai Yeh. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, iScience, Scientific Reports, Biotechnology and Applied Biochemistry and Journal of the American Academy of Dermatology.
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.