Suet‐Feung Chin

47.5k total citations · 5 hit papers
98 papers, 11.0k citations indexed

About

Suet‐Feung Chin is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Suet‐Feung Chin has authored 98 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 50 papers in Cancer Research and 35 papers in Oncology. Recurrent topics in Suet‐Feung Chin's work include Cancer Genomics and Diagnostics (37 papers), Gene expression and cancer classification (17 papers) and Genomic variations and chromosomal abnormalities (17 papers). Suet‐Feung Chin is often cited by papers focused on Cancer Genomics and Diagnostics (37 papers), Gene expression and cancer classification (17 papers) and Genomic variations and chromosomal abnormalities (17 papers). Suet‐Feung Chin collaborates with scholars based in United Kingdom, United States and Netherlands. Suet‐Feung Chin's co-authors include Carlos Caldas, Mark Dunning, Ian O. Ellis, Oscar M. Rueda, Andrew E. Teschendorff, Andrew R. Green, Muhammed Murtaza, Sarah‐Jane Dawson, Tim Forshew and Dana W.Y. Tsui and has published in prestigious journals such as Nature, New England Journal of Medicine and Cell.

In The Last Decade

Suet‐Feung Chin

94 papers receiving 10.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Analysis of Circulating Tumor DNA to Monitor Metastatic Breast Cancer

2013 1.6k citations Muhammed Murtaza, Oscar M. Rueda et al. profile →
Differential oestrogen receptor binding is associated with clinical outcome in breast cancer

2012 1.3k citations Caryn S. Ross-Innes, Rory Stark et al. Nature profile →
Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA

2013 1.2k citations Muhammed Murtaza, Suet‐Feung Chin et al. Nature profile →
MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype

2007 750 citations Natalie Thorne, Suet‐Feung Chin et al. Genome biology profile →
Breast tumor microenvironment structures are associated with genomic features and clinical outcome

2022 141 citations Helen Bardwell, Suet‐Feung Chin et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Suet‐Feung Chin United Kingdom	44	6.8k	5.7k	3.2k	2.1k	1.5k	98	11.0k
John W.M. Martens Netherlands	61	6.8k 1.0×	4.8k 0.8×	4.4k 1.4×	2.1k 1.0×	1.5k 1.0×	328	11.9k
Simon Forbes United Kingdom	21	7.6k 1.1×	4.0k 0.7×	2.8k 0.9×	2.2k 1.0×	1.4k 0.9×	46	11.2k
Nitzan Rosenfeld United Kingdom	37	7.7k 1.1×	7.7k 1.3×	3.7k 1.2×	3.3k 1.6×	1.2k 0.8×	75	13.3k
Anieta M. Sieuwerts Netherlands	51	6.5k 1.0×	4.9k 0.9×	4.3k 1.3×	1.6k 0.7×	1.3k 0.8×	152	10.8k
Alan Mackay United Kingdom	56	5.5k 0.8×	3.5k 0.6×	3.9k 1.2×	1.3k 0.6×	1.4k 0.9×	134	10.1k
James D. Brenton United Kingdom	47	5.9k 0.9×	6.2k 1.1×	4.0k 1.2×	2.6k 1.2×	1.2k 0.8×	167	12.5k
Nallasivam Palanisamy United States	50	5.5k 0.8×	3.4k 0.6×	1.9k 0.6×	2.1k 1.0×	837 0.5×	144	9.1k
Barry S. Taylor United States	46	5.5k 0.8×	3.0k 0.5×	3.3k 1.0×	2.7k 1.3×	933 0.6×	118	9.9k
Sally Bamford United Kingdom	12	5.6k 0.8×	3.1k 0.5×	2.1k 0.6×	1.2k 0.6×	1.3k 0.8×	19	8.1k
Nicholas E. Navin United States	36	6.6k 1.0×	5.5k 1.0×	2.8k 0.9×	1.1k 0.5×	2.6k 1.7×	74	10.5k

Countries citing papers authored by Suet‐Feung Chin

Since Specialization

Citations

This map shows the geographic impact of Suet‐Feung Chin'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 Suet‐Feung Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suet‐Feung Chin more than expected).

Fields of papers citing papers by Suet‐Feung Chin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suet‐Feung Chin. 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 Suet‐Feung Chin. The network helps show where Suet‐Feung Chin may publish in the future.

Co-authorship network of co-authors of Suet‐Feung Chin

This figure shows the co-authorship network connecting the top 25 collaborators of Suet‐Feung Chin. A scholar is included among the top collaborators of Suet‐Feung Chin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suet‐Feung Chin. Suet‐Feung Chin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Nguyen, Long, Suet‐Feung Chin, Stephen‐John Sammut, et al.. (2025). Fitness and transcriptional plasticity of human breast cancer single-cell-derived clones. Cell Reports. 44(5). 115699–115699.

Hasan, Siti Norhidayu, Tania Islam, Li‐Ying Teoh, et al.. (2024). Clustering of HR + /HER2− breast cancer in an Asian cohort is driven by immune phenotypes. Breast Cancer Research. 26(1). 67–67.

Young, Cameron C., Katherine Eason, Sach Mukherjee, et al.. (2024). Development and validation of a reliable DNA copy-number-based machine learning algorithm (CopyClust) for breast cancer integrative cluster classification. Scientific Reports. 14(1). 11861–11861. 2 indexed citations

Sammut, Stephen‐John, Jacob D. Galson, Ralph Minter, et al.. (2024). Predictability of B cell clonal persistence and immunosurveillance in breast cancer. Nature Immunology. 25(5). 916–924. 10 indexed citations

Hasan, Siti Norhidayu, Tania Islam, Li‐Ying Teoh, et al.. (2024). Gene expression signature for predicting homologous recombination deficiency in triple-negative breast cancer. npj Breast Cancer. 10(1). 60–60. 2 indexed citations

Mattos‐Arruda, Leticia De, Javier Cortés, Daniel Guimarães Tiezzi, et al.. (2021). The temporal mutational and immune tumour microenvironment remodelling of HER2-negative primary breast cancers. npj Breast Cancer. 7(1). 73–73. 7 indexed citations

Howarth, Karen, Susanna L. Cooke, Suet‐Feung Chin, et al.. (2021). NRG1 fusions in breast cancer. Breast Cancer Research. 23(1). 3–3. 17 indexed citations

Ng, Pei Sze, Pathmanathan Rajadurai, Cheng Har Yip, et al.. (2021). Characterisation of PALB2 tumours through whole-exome and whole-transcriptomic analyses. npj Breast Cancer. 7(1). 46–46. 6 indexed citations

Fuks, Garold, Suet‐Feung Chin, Oscar M. Rueda, et al.. (2020). Transcriptional profiling reveals a subset of human breast tumors that retain wt TP53 but display mutant p53‐associated features. Molecular Oncology. 14(8). 1640–1652. 7 indexed citations

10.

Hasan, Siti Norhidayu, Stephen‐John Sammut, Cheng Har Yip, et al.. (2020). The molecular landscape of Asian breast cancers reveals clinically relevant population-specific differences. Nature Communications. 11(1). 6433–6433. 52 indexed citations

11.

Cox, Órla T., Shelley J. Edmunds, Katja Simon‐Keller, et al.. (2019). PDLIM2 Is a Marker of Adhesion and β-Catenin Activity in Triple-Negative Breast Cancer. Cancer Research. 79(10). 2619–2633. 17 indexed citations

12.

McDonald, Bradon R., Tania Contente‐Cuomo, Stephen‐John Sammut, et al.. (2019). Personalized circulating tumor DNA analysis to detect residual disease after neoadjuvant therapy in breast cancer. Science Translational Medicine. 11(504). 201 indexed citations

13.

Silwal‐Pandit, Laxmi, Hans Kristian Moen Vollan, Suet‐Feung Chin, et al.. (2014). TP53 Mutation Spectrum in Breast Cancer Is Subtype Specific and Has Distinct Prognostic Relevance. Clinical Cancer Research. 20(13). 3569–3580. 215 indexed citations

14.

Quigley, David A., Laxmi Silwal‐Pandit, Ruth Dannenfelser, et al.. (2014). Lymphocyte Invasion in IC10/Basal-Like Breast Tumors Is Associated with Wild-Type TP53. Molecular Cancer Research. 13(3). 493–501. 47 indexed citations

15.

Ross-Innes, Caryn S., Rory Stark, Andrew E. Teschendorff, et al.. (2012). Differential oestrogen receptor binding is associated with clinical outcome in breast cancer. Nature. 481(7381). 389–393. 1304 indexed citations breakdown →

16.

Rees, Jonathan, Anna Paterson, Suet‐Feung Chin, et al.. (2011). Integrative analysis of array-comparative genomic hybridisation and matched gene expression profiling data reveals novel genes with prognostic significance in oesophageal adenocarcinoma. Gut. 60(10). 1317–1326. 55 indexed citations

17.

Obrador‐Hevia, Antònia, Suet‐Feung Chin, Sara González, et al.. (2010). Oncogenic KRAS is not necessary for Wnt signalling activation in APC‐associated FAP adenomas. The Journal of Pathology. 221(1). 57–67. 17 indexed citations

18.

Veerakumarasivam, Abhi, Helen E. Scott, Suet‐Feung Chin, et al.. (2008). High-Resolution Array-Based Comparative Genomic Hybridization of Bladder Cancers Identifies Mouse Double Minute 4 ( MDM4 ) as an Amplification Target Exclusive of MDM2 and TP53. Clinical Cancer Research. 14(9). 2527–2534. 27 indexed citations

19.

Chin, Suet‐Feung, Andrew E. Teschendorff, John C. Marioni, et al.. (2007). High-resolution aCGH and expression profiling identifies a novel genomic subtype of ER negative breast cancer. Genome biology. 8(10). R215–R215. 239 indexed citations

20.

Chin, Suet‐Feung, Christophe Ginestier, Valérie‐Jeanne Bardou, et al.. (2004). A Recurrent Chromosome Breakpoint in Breast Cancer at the NRG1 / Neuregulin 1 / Heregulin Gene. Cancer Research. 64(19). 6840–6844. 73 indexed citations

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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