Ray‐Chang Wu
- Genetics top 2%
- Estrogen and related hormone effects 9
- Cancer Research top 5%
- MicroRNA in disease regulation 3
- NF-κB Signaling Pathways 3
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways 3
- Oncology top 5%
- Cancer-related Molecular Pathways 7
- Cytokine Signaling Pathways and Interactions 3
- Reproductive Medicine top 5%
- Sperm and Testicular Function 3
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- Reproductive Biology and Fertility 2
- Co-authors
- Bert W. O’MalleyJianming XuSophia Y. TsaiMing‐Jer TsaiJiemin WongJunjiang FuJun QinMei-Yi Wu
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Ray‐Chang Wu
36 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 95
- Genetics 990
- Cancer Research 470
- Molecular Biology 1.6k
- Oncology 628
- Reproductive Medicine 103
Countries citing papers authored by Ray‐Chang Wu
This map shows the geographic impact of Ray‐Chang 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 Ray‐Chang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ray‐Chang Wu more than expected).
Fields of papers citing papers by Ray‐Chang Wu
This network shows the impact of papers produced by Ray‐Chang 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 Ray‐Chang Wu. The network helps show where Ray‐Chang Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ray‐Chang 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 | 2021 | 7 | |
| 2 | 2020 | 20 | |
| 3 | 2018 | 82 | |
| 4 | 2017 | 11 | |
| 5 | 2016 | 1 | |
| 6 | 2013 | 42 | |
| 7 | 2012 | 50 | |
| 8 | 2012 | 15 | |
| 9 | 2012 | 43 | |
| 10 | 2011 | 163 | |
| 11 | 2009 | 390 | |
| 12 | 2007 | 22 | |
| 13 | 2007 | 181 | |
| 14 | Genetic disruption of the p27kip1 confers antiestrogen insensitivity and metastasis potential on human breast cancer cells | 2006 | 1 |
| 15 | 2006 | 87 | |
| 16 | 2005 | 78 | |
| 17 | 2005 | 66 | |
| 18 | 2004 | 249 | |
| 19 | 1997 | 70 | |
| 20 | 1992 | 6 |
About Ray‐Chang Wu
Ray‐Chang Wu is a scholar working on Oncology, Genetics and Cancer Research, having authored 36 papers that have together received 2.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (9 papers), Cancer-related Molecular Pathways (7 papers), Sperm and Testicular Function (3 papers), MicroRNA in disease regulation (3 papers), Ubiquitin and proteasome pathways (3 papers), NF-κB Signaling Pathways (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Genetics (990 citations), Cancer Research (470 citations) and Molecular Biology (1.6k citations). Ray‐Chang Wu has collaborated with scholars based in United States, China and France. Frequent co-authors include Bert W. O’Malley, Jianming Xu, Sophia Y. Tsai, Ming‐Jer Tsai, Jiemin Wong, Junjiang Fu, Jun Qin, Mei-Yi Wu, Carolyn L. Smith and Ping Yi. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.