Joseph Wee

9.5k total citations · 2 hit papers
83 papers, 3.3k citations indexed

About

Joseph Wee is a scholar working on Otorhinolaryngology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Joseph Wee has authored 83 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Otorhinolaryngology, 43 papers in Oncology and 29 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Joseph Wee's work include Head and Neck Cancer Studies (50 papers), Head and Neck Surgical Oncology (20 papers) and Lung Cancer Treatments and Mutations (15 papers). Joseph Wee is often cited by papers focused on Head and Neck Cancer Studies (50 papers), Head and Neck Surgical Oncology (20 papers) and Lung Cancer Treatments and Mutations (15 papers). Joseph Wee collaborates with scholars based in Singapore, China and United States. Joseph Wee's co-authors include Kam Weng Fong, Susan Loong, David Machin, Tam Ha, Eng Huat Tan, Eu Tiong Chua, Terence Tan, Swan Swan Leong, Vijay Sethi and Melvin L.K. Chua and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Joseph Wee

81 papers receiving 3.2k citations

Hit Papers

Randomized Trial of Radiotherapy Versus Concurrent Chemor... 2005 2026 2012 2019 2005 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Wee Singapore 32 1.8k 1.3k 1.2k 1.0k 400 83 3.3k
Shlomo A. Koyfman United States 28 1.3k 0.7× 1.1k 0.9× 1.2k 1.0× 914 0.9× 304 0.8× 240 3.3k
Stephen C.K. Law China 35 2.1k 1.2× 1.6k 1.2× 2.4k 2.1× 1.1k 1.1× 404 1.0× 63 4.8k
Fady Geara Lebanon 30 1.1k 0.6× 1.3k 1.0× 938 0.8× 964 1.0× 742 1.9× 103 3.4k
Sarah Jefferies United Kingdom 32 1.1k 0.6× 771 0.6× 772 0.7× 1.3k 1.3× 662 1.7× 122 3.8k
Chang Geol Lee South Korea 36 816 0.4× 1.5k 1.1× 1.2k 1.0× 1.2k 1.2× 372 0.9× 157 4.0k
Shrujal S. Baxi United States 28 825 0.4× 1.6k 1.2× 775 0.7× 769 0.8× 188 0.5× 107 2.7k
Tejpal Gupta India 33 1.6k 0.9× 879 0.7× 1.2k 1.0× 1.7k 1.7× 849 2.1× 300 4.5k
June Corry Australia 41 3.1k 1.7× 1.7k 1.3× 2.1k 1.8× 1.6k 1.6× 730 1.8× 142 5.4k
Allen M. Chen United States 38 2.2k 1.2× 1.3k 1.0× 1.9k 1.7× 1.3k 1.3× 579 1.4× 133 3.9k
Ai-Hua Lin China 30 2.0k 1.1× 1.4k 1.1× 1.3k 1.1× 1.0k 1.0× 554 1.4× 75 3.2k

Countries citing papers authored by Joseph Wee

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Wee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Wee

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Wee. A scholar is included among the top collaborators of Joseph Wee 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 Joseph Wee. Joseph Wee 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.
Ong, Enya H.W., Jingjing Miao, Joseph Wee, et al.. (2023). Longitudinal post-radiotherapy plasma Epstein-Barr virus DNA trends inform on optimal risk stratification in endemic nasopharyngeal carcinoma. Oral Oncology. 148. 106655–106655. 10 indexed citations
2.
Sommat, Kiattisa, Aaron Kian Ti Tong, Winnie Lam, et al.. (2023). 18F‐FMISO PET‐guided dose escalation with multifield optimization intensity‐modulated proton therapy in nasopharyngeal carcinoma. Asia-Pacific Journal of Clinical Oncology. 20(5). 611–619. 3 indexed citations
3.
Ang, Mei‐Kim, Ekkasit Tharavichitkul, Cindy Lim, et al.. (2021). Phase II study of nimotuzumab (TheraCim‐hR3) concurrent with cisplatin/radiotherapy in patients with locally advanced head and neck squamous cell carcinoma. Head & Neck. 43(5). 1641–1651. 10 indexed citations
4.
Lin, Li, Qi Dou, Yueming Jin, et al.. (2019). Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma. Radiology. 291(3). 677–686. 237 indexed citations breakdown →
5.
Li, You‐Quan, Yun Tian, Sze Huey Tan, et al.. (2018). Prognostic Model for Stratification of Radioresistant Nasopharynx Carcinoma to Curative Salvage Radiotherapy. Journal of Clinical Oncology. 36(9). 891–899. 77 indexed citations
7.
Chan, Sock Hoai, Weng Khong Lim, Scott T. Michalski, et al.. (2016). Germline hemizygous deletion of CDKN2A–CDKN2B locus in a patient presenting with Li–Fraumeni syndrome. npj Genomic Medicine. 1(1). 16015–16015. 9 indexed citations
8.
Mörseburg, Alexander, Luca Pagani, François‐Xavier Ricaut, et al.. (2016). Multi-layered population structure in Island Southeast Asians. European Journal of Human Genetics. 24(11). 1605–1611. 39 indexed citations
9.
Sim, Christina P. C., Joseph Wee, Ying Xu, et al.. (2014). Anti-caries effect of CPP-ACP in irradiated nasopharyngeal carcinoma patients. Clinical Oral Investigations. 19(5). 1005–1011. 19 indexed citations
10.
Cardona, Alexia, Luca Pagani, Tiago Antão, et al.. (2014). Genome-Wide Analysis of Cold Adaptation in Indigenous Siberian Populations. PLoS ONE. 9(5). e98076–e98076. 110 indexed citations
11.
Tuan, Jeffrey, Tam Ha, Whee Sze Ong, et al.. (2012). Late toxicities after conventional radiation therapy alone for nasopharyngeal carcinoma. Radiotherapy and Oncology. 104(3). 305–311. 69 indexed citations
12.
Tai, Bee‐Choo, Joseph Wee, & David Machin. (2011). Analysis and design of randomised clinical trials involving competing risks endpoints. Trials. 12(1). 127–127. 26 indexed citations
13.
Wee, Joseph, Tam Ha, Susan Loong, & Chao-Nan Qian. (2010). Is nasopharyngeal cancer really a "Cantonese cancer"?. Chinese Journal of Cancer. 29(5). 517–526. 155 indexed citations
14.
Yeo, R., Kam Weng Fong, Siew Wan Hee, et al.. (2009). Brachytherapy boost for T1/T2 nasopharyngeal carcinoma. Head & Neck. 31(12). 1610–1618. 14 indexed citations
15.
Gao, Fei, et al.. (2008). The Singaporean English and Chinese versions of the EQ-5D achieved measurement equivalence in cancer patients. Journal of Clinical Epidemiology. 62(2). 206–213. 45 indexed citations
16.
Cheung, Yin‐Bun, et al.. (2005). Order effects: a randomised study of three major cancer-specific quality of life instruments. Health and Quality of Life Outcomes. 3(1). 37–37. 15 indexed citations
17.
Chua, E.T., et al.. (2005). Stereotactic radiosurgery plus intracavitary irradiation in the salvage of nasopharyngeal carcinoma. Head & Neck. 28(4). 321–329. 53 indexed citations
19.
Leong, Swan‐Swan, Joseph Wee, Miah Hiang Tay, et al.. (2004). Paclitaxel, carboplatin, and gemcitabine in metastatic nasopharyngeal carcinoma. Cancer. 103(3). 569–575. 57 indexed citations
20.
Leong, Swan Swan, et al.. (2001). Recurrent nasopharyngeal carcinoma presenting as diffuse dermal lymphatic infiltration in the neck: Three case reports. Head & Neck. 23(2). 160–165. 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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