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
-
- Hedgehog Signaling Pathway Studies 2
- Epigenetics and DNA Methylation 1
- Oncology 5
- Cancer-related Molecular Pathways 3
- Cancer Cells and Metastasis 2
- Co-authors
- Joyce M. Slingerland (4 shared papers)Ludger Hengst (2 shared papers)Susie Chen (1 shared paper)Kimberly Blackwell (1 shared paper)Angel Arnaout (2 shared papers)Jun Sun (2 shared papers)Jeffrey E. Green (3 shared papers)Lara H. El Touny (2 shared papers)
- Journals
- Cancer Research (2 papers)Oncogene (1 paper)Journal of Clinical Investigation (1 paper)Nature reviews. Cancer (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesCanadaAustria
In The Last Decade
Isabel Chu
12 papers receiving 1.9k citations
Isabel Chu's Hit Papers
Peers
Comparison fields: 5 of 94
- Oncology 987
- Cancer Research 322
- Cell Biology 274
- Molecular Biology 1.1k
- Immunology and Allergy 64
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 | 824 |
| 2 | 2010 | 328 | |
| 3 | 2007 | 304 | |
| 4 | 2005 | 169 | |
| 5 | 2009 | 89 | |
| 6 | 2007 | 75 | |
| 7 | 2016 | 37 | |
| 8 | 2012 | 27 | |
| 9 | 2013 | 26 | |
| 10 | 2010 | 20 | |
| 11 | 2003 | 13 | |
| 12 | 2021 | 3 |
About Isabel Chu
Isabel Chu is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Cancer Research, having authored 12 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Estrogen and related hormone effects (2 papers), Microtubule and mitosis dynamics (2 papers), Cancer Cells and Metastasis (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Cellular Mechanics and Interactions (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Oncology (987 citations), Cancer Research (322 citations), Cell Biology (274 citations), Molecular Biology (1.1k citations) and Immunology and Allergy (64 citations). Isabel Chu has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Joyce M. Slingerland, Ludger Hengst, Susie Chen, Kimberly Blackwell, Angel Arnaout, Jun Sun, Jeffrey E. Green, Lara H. El Touny, Aleksandra M. Michalowski and Jack Gauldie. Their work appears in journals such as Cancer Research, Oncogene, Journal of Clinical Investigation, Nature reviews. Cancer and Scientific Reports.
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.