Darren M.C. Poon

3.4k total citations
91 papers, 1.5k citations indexed

About

Darren M.C. Poon is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Darren M.C. Poon has authored 91 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Pulmonary and Respiratory Medicine, 36 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Surgery. Recurrent topics in Darren M.C. Poon's work include Prostate Cancer Treatment and Research (35 papers), Prostate Cancer Diagnosis and Treatment (29 papers) and Advanced Radiotherapy Techniques (18 papers). Darren M.C. Poon is often cited by papers focused on Prostate Cancer Treatment and Research (35 papers), Prostate Cancer Diagnosis and Treatment (29 papers) and Advanced Radiotherapy Techniques (18 papers). Darren M.C. Poon collaborates with scholars based in Hong Kong, China and United Kingdom. Darren M.C. Poon's co-authors include Ann D. King, Frankie Mo, Anthony T.�C. Chan, Brigette Ma, Jing Yuan, Qi Yong H. Ai, Stephen L. Chan, Ksh Chok, Macy Tong and Edwin P. Hui and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Radiology.

In The Last Decade

Darren M.C. Poon

83 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darren M.C. Poon Hong Kong 18 559 544 511 402 383 91 1.5k
Meng‐Zhong Liu China 22 597 1.1× 723 1.3× 217 0.4× 495 1.2× 785 2.0× 51 1.7k
Yeon‐Sil Kim South Korea 22 507 0.9× 705 1.3× 336 0.7× 546 1.4× 454 1.2× 110 1.6k
Panagiotis Balermpas Germany 23 463 0.8× 566 1.0× 352 0.7× 713 1.8× 493 1.3× 115 1.7k
Gustavo Mercier United States 20 276 0.5× 462 0.8× 723 1.4× 240 0.6× 339 0.9× 42 1.4k
Michela Buglione Italy 23 660 1.2× 988 1.8× 407 0.8× 654 1.6× 431 1.1× 121 2.1k
Alexander Chi United States 19 232 0.4× 807 1.5× 384 0.8× 368 0.9× 170 0.4× 59 1.4k
Samy El‐Sayed Canada 8 733 1.3× 409 0.8× 204 0.4× 276 0.7× 528 1.4× 14 1.2k
Li-Zhi Liu China 23 1.2k 2.1× 552 1.0× 419 0.8× 581 1.4× 790 2.1× 42 1.7k
Gregory J. Kubicek United States 22 355 0.6× 474 0.9× 264 0.5× 276 0.7× 334 0.9× 73 1.1k
Wen-Fei Li China 23 1.0k 1.8× 592 1.1× 405 0.8× 920 2.3× 662 1.7× 63 1.9k

Countries citing papers authored by Darren M.C. Poon

Since Specialization
Citations

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

Fields of papers citing papers by Darren M.C. Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darren M.C. Poon. 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 Darren M.C. Poon. The network helps show where Darren M.C. Poon may publish in the future.

Co-authorship network of co-authors of Darren M.C. Poon

This figure shows the co-authorship network connecting the top 25 collaborators of Darren M.C. Poon. A scholar is included among the top collaborators of Darren M.C. Poon 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 Darren M.C. Poon. Darren M.C. Poon 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
1.
Poon, Darren M.C., Jing Yuan, Oi Lei Wong, et al.. (2025). Stereotactic total ablative radiotherapy with MR-LINAC for synchronous oligometastatic prostate cancer. Frontiers in Oncology. 15. 1607610–1607610.
2.
Hahn, Andrew W., Ana M. Aparicio, Hossein Jadvar, & Darren M.C. Poon. (2024). MDT perspective: innovative applications of stereotactic body radiation therapy in metastatic castration-resistant prostate cancer. Prostate Cancer and Prostatic Diseases. 28(3). 745–747. 1 indexed citations
3.
Poon, Darren M.C., Jing Yuan, Oi Lei Wong, et al.. (2024). One-year clinical outcomes of MR-guided stereotactic body radiation therapy with rectal spacer for patients with localized prostate cancer. World Journal of Urology. 42(1). 97–97. 3 indexed citations
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Poon, Darren M.C., et al.. (2024). Focal radiotherapy boost to MR-visible tumor for prostate cancer: a systematic review. World Journal of Urology. 42(1). 56–56. 8 indexed citations
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Weiner, Adam B., Aisha L. Siebert, Sarah E. Fenton, et al.. (2022). First-line Systemic Treatment of Recurrent Prostate Cancer After Primary or Salvage Local Therapy: A Systematic Review of the Literature. European Urology Oncology. 5(4). 377–387. 3 indexed citations
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Poon, Darren M.C., Kuen Chan, Tim Chan, et al.. (2022). Ethnic Pharmacogenomic Differences in the Management of Asian Patients with Metastatic Prostate Cancer. Cancers. 14(2). 407–407. 6 indexed citations
12.
Yuan, Jing, Darren M.C. Poon, Gladys Lo, et al.. (2021). A narrative review of MRI acquisition for MR-guided-radiotherapy in prostate cancer. Quantitative Imaging in Medicine and Surgery. 12(2). 1585–1607. 18 indexed citations
13.
Ai, Qi Yong H., Weitian Chen, Tiffany Y. So, et al.. (2020). Quantitative T1ρ MRI of the Head and Neck Discriminates Carcinoma and Benign Hyperplasia in the Nasopharynx. American Journal of Neuroradiology. 41(12). 2339–2344. 9 indexed citations
14.
Hui, Edwin P., Brigette Ma, W.K. Lam, et al.. (2020). Integrating postradiotherapy plasma Epstein–Barr virus DNA and TNM stage for risk stratification of nasopharyngeal carcinoma to adjuvant therapy. Annals of Oncology. 31(6). 769–779. 72 indexed citations
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Wong, Lun M., Ann D. King, Qi Yong H. Ai, et al.. (2020). Convolutional neural network for discriminating nasopharyngeal carcinoma and benign hyperplasia on MRI. European Radiology. 31(6). 3856–3863. 30 indexed citations
17.
Ai, Qi Yong H., Ann D. King, Darren M.C. Poon, et al.. (2018). Extranodal extension is a criterion for poor outcome in patients with metastatic nodes from cancer of the nasopharynx. Oral Oncology. 88. 124–130. 54 indexed citations
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Au, Kwok Hung, Roger K.C. Ngan, Alice Ng, et al.. (2017). Treatment outcomes of nasopharyngeal carcinoma in modern era after intensity modulated radiotherapy (IMRT) in Hong Kong: A report of 3328 patients. Annals of Oncology. 28. x103–x103. 1 indexed citations
20.
Au, Kwok‐Hung, Roger K.C. Ngan, Alice Ng, et al.. (2017). Treatment outcomes of nasopharyngeal carcinoma in modern era after intensity modulated radiotherapy (IMRT) in Hong Kong: A report of 3328 patients (HKNPCSG 1301 study). Oral Oncology. 77. 16–21. 210 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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