Isabel Chu
Impact in
- Oncology top 2%
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
- Cancer Research top 5%
Papers in ⓘ
- Oncology 6
- Cancer-related Molecular Pathways 3
- Cancer Cells and Metastasis 2
- HER2/EGFR in Cancer Research 1
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- Cellular Mechanics and Interactions 2
- Microtubule and mitosis dynamics 2
- Co-authors
- Joyce M. Slingerland (4 shared papers)Ludger Hengst (2 shared papers)Kimberly Blackwell (1 shared paper)Susie Chen (1 shared paper)Jun Sun (2 shared papers)Angel Arnaout (2 shared papers)Jeffrey E. Green (3 shared papers)Lara H. El Touny (2 shared papers)
- Journals
- Cancer Research (2 papers)Nature reviews. Cancer (1 paper)Scientific Reports (1 paper)Journal of Proteome Research (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesCanadaAustria
In The Last Decade
Isabel Chu
12 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Oncology 1.0k
- Cancer Research 346
- Molecular Biology 1.1k
- Cell Biology 267
- Immunology and Allergy 68
Countries citing papers authored by Isabel Chu
This map shows the geographic impact of Isabel Chu'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 Isabel Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel Chu more than expected).
Fields of papers citing papers by Isabel Chu
This network shows the impact of papers produced by Isabel Chu. 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 Isabel Chu. The network helps show where Isabel Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Isabel Chu, 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 | The Cdk inhibitor p27 in human cancer: prognostic potential and relevance to anticancer therapy Hit paper breakdown → | 2008 | 797 |
| 2 | 2010 | 308 | |
| 3 | 2007 | 292 | |
| 4 | 2005 | 161 | |
| 5 | 2009 | 86 | |
| 6 | 2007 | 72 | |
| 7 | 2016 | 32 | |
| 8 | 2012 | 26 | |
| 9 | 2013 | 25 | |
| 10 | 2010 | 19 | |
| 11 | 2003 | 13 | |
| 12 | 2021 | 3 |
About Isabel Chu
Isabel Chu is a scholar working on Oncology, Cell Biology, Cancer Research, Molecular Biology and Genetics, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Cancer Cells and Metastasis (2 papers), RNA modifications and cancer (2 papers), Estrogen and related hormone effects (2 papers), Cellular Mechanics and Interactions (2 papers), Microtubule and mitosis dynamics (2 papers) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in Oncology (1.0k citations), Cancer Research (346 citations), Molecular Biology (1.1k citations), Cell Biology (267 citations) and Immunology and Allergy (68 citations). Isabel Chu has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Joyce M. Slingerland, Ludger Hengst, Kimberly Blackwell, Susie Chen, Jun Sun, Angel Arnaout, Jeffrey E. Green, Lara H. El Touny, Aleksandra M. Michalowski and Cheng‐Keat Tan. Their work appears in journals such as Cancer Research, Nature reviews. Cancer, Scientific Reports, Journal of Proteome Research and Science Advances.
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.