Min-Zu Wu
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
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- MicroRNA in disease regulation 3
- Cancer, Hypoxia, and Metabolism 1
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- Pluripotent Stem Cells Research 3
- Epigenetics and DNA Methylation 3
- Heat shock proteins research 2
- Renal and related cancers 1
- Co-authors
- Shu‐Chun Teng (3 shared papers)Shyue‐Yih Chang (2 shared papers)Shih‐Hwa Chiou (1 shared paper)Chung‐Ji Liu (1 shared paper)Muh Hwa Yang (1 shared paper)Po‐Min Chen (1 shared paper)Kou‐Juey Wu (5 shared papers)Juan Carlos Izpisúa Belmonte (9 shared papers)
- Journals
- Nature Cell Biology (3 papers)Oncotarget (2 papers)Cell Research (2 papers)The Journal of Pathology (1 paper)Trends in Genetics (1 paper)
- Partner nations
- United StatesTaiwanSpain
In The Last Decade
Min-Zu Wu
22 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 71
- Cancer Research 436
- Oncology 418
- Molecular Biology 831
- Immunology 136
- Genetics 56
Countries citing papers authored by Min-Zu Wu
This map shows the geographic impact of Min-Zu 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 Min-Zu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min-Zu Wu more than expected).
Fields of papers citing papers by Min-Zu Wu
This network shows the impact of papers produced by Min-Zu 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 Min-Zu Wu. The network helps show where Min-Zu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Min-Zu 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 1174 | |
| 2 | 2017 | 367 | |
| 3 | 2013 | 279 | |
| 4 | 2011 | 239 | |
| 5 | 2016 | 157 | |
| 6 | 2012 | 132 | |
| 7 | 2011 | 124 | |
| 8 | 2013 | 124 | |
| 9 | 2017 | 122 | |
| 10 | 2015 | 113 | |
| 11 | 2017 | 63 | |
| 12 | 2016 | 61 | |
| 13 | 2017 | 46 | |
| 14 | 2020 | 46 | |
| 15 | 2020 | 43 | |
| 16 | 2016 | 32 | |
| 17 | 2021 | 10 | |
| 18 | 2013 | 5 | |
| 19 | 2014 | 4 | |
| 20 | 2019 | 4 |
About Min-Zu Wu
Min-Zu Wu is a scholar working on Cancer Research, Molecular Biology, Immunology, Genetics and Oncology, having authored 22 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (3 papers), Heat shock proteins research (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Cancer Cells and Metastasis (1 paper), IL-33, ST2, and ILC Pathways (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Cancer Research (436 citations), Oncology (418 citations), Molecular Biology (831 citations), Immunology (136 citations) and Genetics (56 citations). Min-Zu Wu has collaborated with scholars based in United States, Taiwan and Spain. Frequent co-authors include Shu‐Chun Teng, Shyue‐Yih Chang, Shih‐Hwa Chiou, Chung‐Ji Liu, Muh Hwa Yang, Po‐Min Chen, Kou‐Juey Wu, Juan Carlos Izpisúa Belmonte, Concepción Rodrı́guez Esteban and Ya‐Ping Tsai. Their work appears in journals such as Nature Cell Biology, Oncotarget, Cell Research, The Journal of Pathology and Trends in Genetics.
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.