Boon Kua
Impact in
-
- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
- Renal cell carcinoma treatment
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- Radiopharmaceutical Chemistry and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Rheumatology 11
- Urologic and reproductive health conditions 10
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- Prostate Cancer Diagnosis and Treatment 17
- Prostate Cancer Treatment and Research 13
- Renal cell carcinoma treatment 4
- Co-authors
- Troy GianduzzoJohn YaxleyGeoff CoughlinDavid WongHemamali SamaratungaLouise McEwanWilliam YaxleySheliyan Raveenthiran
- Journals
- British Journal of Urology (7 papers)Histopathology (3 papers)Prostate Cancer and Prostatic Diseases (2 papers)Journal of Digital Imaging (1 paper)The American Journal of Surgical Pathology (1 paper)
- Partner nations
- AustraliaSwedenNew Zealand
In The Last Decade
Boon Kua
24 papers receiving 586 citations
Peers
Comparison fields: 5 of 47
- Pulmonary and Respiratory Medicine 527
- Radiology, Nuclear Medicine and Imaging 221
- Rheumatology 123
- Cancer Research 71
- Urology 21
Countries citing papers authored by Boon Kua
This map shows the geographic impact of Boon Kua'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 Kua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boon Kua more than expected).
Fields of papers citing papers by Boon Kua
This network shows the impact of papers produced by Boon Kua. 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 Kua. The network helps show where Boon Kua may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Boon Kua, 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 | 2024 | 1 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 27 | |
| 5 | 2022 | 18 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 27 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 44 | |
| 11 | 2020 | 36 | |
| 12 | 2019 | 38 | |
| 13 | 2019 | 79 | |
| 14 | 2018 | 18 | |
| 15 | 2018 | 23 | |
| 16 | 2018 | 8 | |
| 17 | 2017 | 117 | |
| 18 | 2017 | 12 | |
| 19 | 2016 | 11 | |
| 20 | 2015 | 1 |
About Boon Kua
Boon Kua is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine, Urology, Statistics and Probability and Biotechnology, having authored 24 papers that have together received 592 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (17 papers), Prostate Cancer Treatment and Research (13 papers), Urologic and reproductive health conditions (10 papers), Renal cell carcinoma treatment (4 papers), Renal and related cancers (4 papers), Bladder and Urothelial Cancer Treatments (3 papers), Urological Disorders and Treatments (2 papers) and Urinary Bladder and Prostate Research (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (527 citations), Radiology, Nuclear Medicine and Imaging (221 citations), Rheumatology (123 citations), Cancer Research (71 citations) and Urology (21 citations). Boon Kua has collaborated with scholars based in Australia, Sweden and New Zealand. Frequent co-authors include Troy Gianduzzo, John Yaxley, Geoff Coughlin, David Wong, Hemamali Samaratunga, Louise McEwan, William Yaxley, Sheliyan Raveenthiran, Lars Egevad and Brett Delahunt. Their work appears in journals such as British Journal of Urology, Histopathology, Prostate Cancer and Prostatic Diseases, Journal of Digital Imaging and The American Journal of Surgical 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.