Carol Chu

2.9k citations
16 papers · 441 indexed · h-index 12

Carol Chu

16 papers receiving 426 citations

Peers

Carol Chu
Comparison fields: 5 of 64
  • Genetics 273
  • Reproductive Medicine 66
  • Cancer Research 68
  • Oncology 109
  • Pathology and Forensic Medicine 51
Replace Irmgard Nippert with:
Irmgard Nippert Germany
Muriel A. Adank Netherlands
Elizabeth Hoodfar United States
Elizabeth Ormondroyd United Kingdom
Betsy Bove United States
Estela G. Toraño Spain
Alfred Rademaker United States
Julia Grinshpun‐Cohen Israel
Simone McInerny Australia
Helen Baines United Kingdom
Carol Chu relative to Irmgard Nippert Germany Irmgard Nippert's profile →
Citations per field
00.5×1.5×1.9×
Irmgard Nippert · 1×
Citations per year

Countries citing papers authored by Carol Chu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Carol Chu Line = papers co-authored together Carol Chu links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20118
2
Culture, attitude and knowledge about breast cancer and preventive measures: a qualitative study of South Asian breast cancer patients in the UK.
201160
3 201062
4
The politics of difference? Providing a cancer genetics service in a culturally and linguistically diverse society
200913
5 200922
6 200818
7 200726
8 200796
9 200611
10 200216
11 20028
12 200012
13 19999
14 199615
15 199512
16 199453

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.

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