Carol Chu
- Genetics top 10%
- BRCA gene mutations in cancer 8
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 4
- Genomics and Rare Diseases 3
- Reproductive Medicine top 10%
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- Global Cancer Incidence and Screening 2
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- CRISPR and Genetic Engineering 2
- DNA Repair Mechanisms 2
- Epigenetics and DNA Methylation 2
- Sexual Differentiation and Disorders 2
- Co-authors
- Jenny HewisonJennifer N. W. LimJ. M. ConnorKarl AtkinGraham R. TaylorMalcolm DonaldsonMark LansdownKieran Horgan
- Journals
- Journal of Clinical Oncology (1 paper)British Journal of Cancer (1 paper)Journal of Clinical Pathology (1 paper)
- Partner nations
- United KingdomOmanLuxembourg
In The Last Decade
Carol Chu
16 papers receiving 426 citations
Peers
Comparison fields: 5 of 64
- Genetics 273
- Reproductive Medicine 66
- Cancer Research 68
- Oncology 109
- Pathology and Forensic Medicine 51
Countries citing papers authored by Carol Chu
This map shows the geographic impact of Carol 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 Carol Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol Chu more than expected).
Fields of papers citing papers by Carol Chu
This network shows the impact of papers produced by Carol 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 Carol Chu. The network helps show where Carol Chu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carol 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 | 2011 | 8 | |
| 2 | Culture, attitude and knowledge about breast cancer and preventive measures: a qualitative study of South Asian breast cancer patients in the UK. | 2011 | 60 |
| 3 | 2010 | 62 | |
| 4 | The politics of difference? Providing a cancer genetics service in a culturally and linguistically diverse society | 2009 | 13 |
| 5 | 2009 | 22 | |
| 6 | 2008 | 18 | |
| 7 | 2007 | 26 | |
| 8 | 2007 | 96 | |
| 9 | 2006 | 11 | |
| 10 | 2002 | 16 | |
| 11 | 2002 | 8 | |
| 12 | 2000 | 12 | |
| 13 | 1999 | 9 | |
| 14 | 1996 | 15 | |
| 15 | 1995 | 12 | |
| 16 | 1994 | 53 |
About Carol Chu
Carol Chu is a scholar working on Genetics, Developmental Neuroscience and Reproductive Medicine, having authored 16 papers that have together received 441 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (8 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Genomics and Rare Diseases (3 papers), CRISPR and Genetic Engineering (2 papers), DNA Repair Mechanisms (2 papers), Global Cancer Incidence and Screening (2 papers), Epigenetics and DNA Methylation (2 papers) and Sexual Differentiation and Disorders (2 papers). The work is most often cited by research in Genetics (273 citations), Reproductive Medicine (66 citations) and Cancer Research (68 citations). Carol Chu has collaborated with scholars based in United Kingdom, Oman and Luxembourg. Frequent co-authors include Jenny Hewison, Jennifer N. W. Lim, J. M. Connor, Karl Atkin, Graham R. Taylor, Malcolm Donaldson, Mark Lansdown, Kieran Horgan, Gulshan Karbani and Wendy F. Paterson. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Cancer and Journal of Clinical Pathology.
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.