Çherry Wu
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
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- Sleep and Work-Related Fatigue
Papers in
- Oncology 8
- Cancer Risks and Factors 6
- Global Cancer Incidence and Screening 2
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- Fungal and yeast genetics research 3
- CRISPR and Genetic Engineering 2
- Co-authors
- Feng Wang (10 shared papers)Lap Ah Tse (9 shared papers)James E. Haber (3 shared papers)Frederick W. Alt (3 shared papers)Xiaohong R. Yang (8 shared papers)Ignatius Tak-sun Yu (5 shared papers)Emily Ying Yang Chan (1 shared paper)Xiaohua Wu (1 shared paper)
- Journals
- Scientific Reports (1 paper)Current Biology (1 paper)Medicine (1 paper)Human Molecular Genetics (1 paper)Immunity (1 paper)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Çherry Wu
18 papers receiving 644 citations
Peers
Comparison fields: 5 of 81
- Endocrine and Autonomic Systems 89
- Experimental and Cognitive Psychology 87
- Cell Biology 106
- Molecular Biology 311
- Immunology and Allergy 25
Countries citing papers authored by Çherry Wu
This map shows the geographic impact of Çherry 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 Çherry Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Çherry Wu more than expected).
Fields of papers citing papers by Çherry Wu
This network shows the impact of papers produced by Çherry 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 Çherry Wu. The network helps show where Çherry Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Çherry 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 | 2000 | 186 | |
| 2 | 2013 | 155 | |
| 3 | 2003 | 46 | |
| 4 | 1998 | 42 | |
| 5 | 1997 | 38 | |
| 6 | 2015 | 33 | |
| 7 | 2009 | 25 | |
| 8 | 2006 | 19 | |
| 9 | 2017 | 16 | |
| 10 | 2019 | 16 | |
| 11 | 2016 | 15 | |
| 12 | 2007 | 14 | |
| 13 | 2015 | 11 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2015 | 8 | |
| 17 | 2017 | 6 | |
| 18 | 2014 | 3 |
About Çherry Wu
Çherry Wu is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Genetics and Cancer Research, having authored 18 papers that have together received 650 indexed citations. Recurring topics across this work include Cancer Risks and Factors (6 papers), Breast Cancer Treatment Studies (3 papers), Fungal and yeast genetics research (3 papers), T-cell and B-cell Immunology (2 papers), CRISPR and Genetic Engineering (2 papers), Immune Cell Function and Interaction (2 papers), Tea Polyphenols and Effects (2 papers) and Global Cancer Incidence and Screening (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (89 citations), Experimental and Cognitive Psychology (87 citations), Cell Biology (106 citations), Molecular Biology (311 citations) and Immunology and Allergy (25 citations). Çherry Wu has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Feng Wang, Lap Ah Tse, James E. Haber, Frederick W. Alt, Xiaohong R. Yang, Ignatius Tak-sun Yu, Emily Ying Yang Chan, Xiaohua Wu, Laurie A. Davidson and David J. Kwiatkowski. Their work appears in journals such as Scientific Reports, Current Biology, Medicine, Human Molecular Genetics and Immunity.
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.