C.S. Boon

1.2k total citations · 1 hit paper
18 papers, 309 citations indexed

About

C.S. Boon is a scholar working on Oncology, Surgery and Otorhinolaryngology. According to data from OpenAlex, C.S. Boon has authored 18 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Surgery and 4 papers in Otorhinolaryngology. Recurrent topics in C.S. Boon's work include Head and Neck Cancer Studies (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cancer Diagnosis and Treatment (2 papers). C.S. Boon is often cited by papers focused on Head and Neck Cancer Studies (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cancer Diagnosis and Treatment (2 papers). C.S. Boon collaborates with scholars based in United Kingdom, Malaysia and Netherlands. C.S. Boon's co-authors include Kohei Matsumoto, Bernhard Frank, Jamie Burgess, Andrew Marshall, Maryam Ferdousi, Anne Marshall, Tony Wing Chung Mak, Rayaz A. Malik, David Gosal and Uazman Alam and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

C.S. Boon

17 papers receiving 301 citations

Hit Papers

Chemotherapy-Induced Peripheral Neuropathy: Epidemiology,... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C.S. Boon United Kingdom 7 135 68 65 52 50 18 309
Kairui Jin China 9 97 0.7× 39 0.6× 71 1.1× 16 0.3× 12 0.2× 21 394
Jay Engel Canada 10 80 0.6× 85 1.3× 59 0.9× 28 0.5× 107 2.1× 20 483
Efstratios Karagiannis Germany 10 19 0.1× 80 1.2× 72 1.1× 18 0.3× 59 1.2× 17 236
Marita Morgia Australia 11 100 0.7× 131 1.9× 95 1.5× 12 0.2× 124 2.5× 24 418
Tingting Han China 13 48 0.4× 74 1.1× 75 1.2× 23 0.4× 4 0.1× 24 325
Jaap Teule Netherlands 8 165 1.2× 176 2.6× 226 3.5× 31 0.6× 58 1.2× 12 400
Ioanna Nixon United Kingdom 8 50 0.4× 24 0.4× 66 1.0× 19 0.4× 15 0.3× 21 192
Raphael T. Villavicencio United States 10 74 0.5× 67 1.0× 183 2.8× 42 0.8× 10 0.2× 13 470
Gopika SenthilKumar United States 11 39 0.3× 62 0.9× 35 0.5× 52 1.0× 7 0.1× 39 290
M. Trignani Italy 9 88 0.7× 108 1.6× 88 1.4× 11 0.2× 62 1.2× 27 242

Countries citing papers authored by C.S. Boon

Since Specialization
Citations

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

Fields of papers citing papers by C.S. Boon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C.S. Boon

This figure shows the co-authorship network connecting the top 25 collaborators of C.S. Boon. A scholar is included among the top collaborators of C.S. Boon 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 C.S. Boon. C.S. Boon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Burgess, Jamie, Anne Marshall, David R. Riley, et al.. (2024). Idiopathic Distal Sensory Polyneuropathy and Fibromyalgia Syndrome: A Comparative Phenotyping Study. Pain and Therapy. 13(6). 1541–1558. 2 indexed citations
2.
Nutting, Christopher M., Keith Rooney, Bernadette Foran, et al.. (2022). Quality of life and two-year results of a randomized phase III study of dysphagia-optimized intensity modulated radiotherapy (DO-IMRT) versus standard IMRT (S-IMRT) in head and neck cancer.. Journal of Clinical Oncology. 40(16_suppl). 6065–6065. 2 indexed citations
3.
Boon, C.S., et al.. (2021). COVID-19 Vaccine Prioritisation for Medical Students: The Forgotten Cohort?. Clinical Oncology. 33(8). e359–e359. 3 indexed citations
4.
Burgess, Jamie, Maryam Ferdousi, David Gosal, et al.. (2021). Chemotherapy-Induced Peripheral Neuropathy: Epidemiology, Pathomechanisms and Treatment. Oncology and Therapy. 9(2). 385–450. 160 indexed citations breakdown →
5.
Boon, C.S., et al.. (2020). Effectiveness of Clinical Examination in Cancer Surveillance: New Paradigm to Cancer Survivorship Beyond the COVID-19 Pandemic. Clinical Oncology. 32(10). e216–e216. 1 indexed citations
6.
Henke, Lauren E., Cihan Gani, Tae Kyoung Kim, et al.. (2020). MRI-Based Upper Abdominal Organs-at-Risk Atlas for Radiation Oncology. International Journal of Radiation Oncology*Biology*Physics. 106(4). 743–753. 19 indexed citations
7.
Boon, C.S., et al.. (2020). Digital healthcare and shifting equipoise in radiation oncology: The butterfly effect of the COVID-19 pandemic. Journal of medical imaging and radiation sciences. 52(1). 11–13. 3 indexed citations
8.
Yap, Moi Hoon, et al.. (2020). Artificial intelligence and soft skills in radiation oncology: Data versus wisdom. Journal of medical imaging and radiation sciences. 51(4). S114–S115. 5 indexed citations
9.
Kendrick, Connah, et al.. (2020). Deep learning in magnetic resonance prostate segmentation: A review and a new perspective. arXiv (Cornell University). 6 indexed citations
10.
Nutting, Christopher M., Keith Rooney, Bernadette Foran, et al.. (2020). Results of a randomized phase III study of dysphagia-optimized intensity modulated radiotherapy (Do-IMRT) versus standard IMRT (S-IMRT) in head and neck cancer.. Journal of Clinical Oncology. 38(15_suppl). 6508–6508. 23 indexed citations
11.
Boon, C.S., et al.. (2018). Assessing the Role of Artificial Intelligence (AI) in Clinical Oncology: Utility of Machine Learning in Radiotherapy Target Volume Delineation. SHILAP Revista de lepidopterología. 5(4). 131–131. 52 indexed citations
12.
Boon, C.S., et al.. (2016). In the nick of time: arterial thrombosis on starting combination chemotherapy in metastatic gastric adenocarcinoma. BMJ Case Reports. 2016. bcr2015214236–bcr2015214236. 1 indexed citations
13.
Warfield, Adrian, et al.. (2016). Dedifferentiated adenoid cystic carcinoma of the nasopharynx: a rare entity of head and neck cancer. BMJ Case Reports. 2016. bcr2016215889–bcr2016215889. 2 indexed citations
14.
Boon, C.S., M. Tiffany, Tom Roques, et al.. (2016). UK Contouring Variation in Nasopharyngeal Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 96(2). E393–E393. 4 indexed citations
15.
Pettit, Laura, et al.. (2013). Radical Chemoradiotherapy for Urethral Squamous Cell Carcinoma: Two Case Reports and a Review of the Literature. SHILAP Revista de lepidopterología. 2013. 1–4. 4 indexed citations
16.
Mohan, Anant, Samir Naik, C.S. Boon, et al.. (2010). Performance Characteristics of Semirigid Thoracoscopy in Pleural Effusions of Undetermined Etiology. Journal of Bronchology & Interventional Pulmonology. 17(4). 289–294. 14 indexed citations
17.
Boon, C.S., et al.. (2002). A PHARMACOKINETIC COMPARISON OF THE MODIFIED RELEASE CAPSULE AND A PLAIN TABLET FORMULATION OF MEBEVERINE. International Journal of Clinical Practice. 56(9). 659–662. 6 indexed citations
18.
Harten, J. Van, Richard L. Lammers, & C.S. Boon. (1996). Toxicokinetics and clinical kinetics of topically applied vitamin D analogues. Journal of Dermatological Treatment. 7(sup1). S19–S21. 2 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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