Suet‐Feung Chin

47.5k citations
98 papers · 11.0k indexed · 5 hit papers · h-index 44
Topics
Cancer Genomics and Diagnostics (37 papers)Gene expression and cancer classification (17 papers)Genomic variations and chromosomal abnormalities (17 papers)

In The Last Decade

Suet‐Feung Chin

94 papers receiving 10.9k citations

Hit Papers

Analysis of Circulating Tumor DNA to Monitor Metastatic B...20072026201320192013201220132007202250010001.5k

Peers

Suet‐Feung Chin
Comparison fields: 5 of 154
  • Molecular Biology 6.8k
  • Cancer Research 5.7k
  • Oncology 3.2k
  • Pulmonary and Respiratory Medicine 2.1k
  • Genetics 1.5k
Replace James D. Brenton with:
James D. Brenton United Kingdom
Simon Forbes United Kingdom
John W.M. Martens Netherlands
Anieta M. Sieuwerts Netherlands
Nidhi Bindal United Kingdom
José Palacios Spain
Xiaping He United States
Sally Bamford United Kingdom
Peter Schraml Switzerland
Shirley Zhu United States
Suet‐Feung Chin relative to James D. Brenton United Kingdom James D. Brenton's profile →
Citations per field
00.5×1.5×
James D. Brenton · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 2
4 10
5 0
6 7
7 6
8 17
9 52
10 201
11 40
12 17
13 215
14 47
15
Differential oestrogen receptor binding is associated with clinical outcome in breast cancerbreakdown →
1304
16 156
17 55
18 17
19 27
20 73

About Suet‐Feung Chin

Suet‐Feung Chin is a scholar working on Cancer Research, Oncology and Genetics, having authored 98 papers that have together received 11.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (37 papers), Gene expression and cancer classification (17 papers) and Genomic variations and chromosomal abnormalities (17 papers). The work is most often cited by research in Cancer Research (5.7k citations), Oncology (3.2k citations) and Molecular Biology (6.8k citations). Suet‐Feung Chin has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Carlos Caldas, Mark Dunning, Ian O. Ellis, Oscar M. Rueda, Andrew E. Teschendorff, Andrew R. Green, Muhammed Murtaza, Sean Humphray, Dana W.Y. Tsui and Davina Gale. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.

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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