Boon Chua

56 papers receiving 1.2k citations

Peers

Boon Chua
Comparison fields: 5 of 57
  • Cancer Research 842
  • Pathology and Forensic Medicine 241
  • Oncology 279
  • Radiation 66
  • Radiology, Nuclear Medicine and Imaging 116
Replace J. P. Costantino with:
J. P. Costantino United States
Jane Pettinga United States
Philip Meijnen Netherlands
EP Mamounas United States
Meg Knowling Canada
Y. Otmezguine France
Hosam A. Kader Canada
Linda Sciuto United States
Luis Sanchez Italy
Dan Lundstedt Sweden
Boon Chua relative to J. P. Costantino United States J. P. Costantino's profile →
Citations per field
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J. P. Costantino · 1×
Citations per year

Countries citing papers authored by Boon Chua

Since Specialization
Citations

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

Fields of papers citing papers by Boon Chua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Boon Chua. 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 Boon Chua. The network helps show where Boon Chua may publish in the future.

Co-authors

The 25 scholars most cited alongside Boon Chua, 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 Boon Chua Line = papers co-authored together Boon Chua links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011181
2 2004130
3 2001114
4 200364
5 200246
6 202343
7 200343
8 201439
9 200237
10 201636
11 200232
12 201031
13 202231
14 202328
15 201228
16 200128
17 200326
18 201624
19 200622
20 200621

About Boon Chua

Boon Chua is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Surgery and Pulmonary and Respiratory Medicine, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (44 papers), Breast Lesions and Carcinomas (9 papers), Breast Implant and Reconstruction (7 papers), Advanced Radiotherapy Techniques (5 papers), Medical Imaging Techniques and Applications (4 papers), Global Cancer Incidence and Screening (4 papers), Cancer Treatment and Pharmacology (3 papers) and Economic and Financial Impacts of Cancer (3 papers). The work is most often cited by research in Cancer Research (842 citations), Pathology and Forensic Medicine (241 citations), Oncology (279 citations), Radiation (66 citations) and Radiology, Nuclear Medicine and Imaging (116 citations). Boon Chua has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include Owen Ung, John Boyages, Ivo A. Olivotto, Richard Taylor, Elizabeth Salisbury, Michael Bilous, Caroline Speers, Richard Taylor, Upali W Jayasinghe and Angela Y. Wong. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, The Breast, ANZ Journal of Surgery and British journal of surgery.

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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