Siew Wan Hee

2.3k citations
54 papers · 1.2k indexed · h-index 18

Impact in

Papers in

Siew Wan Hee

54 papers receiving 1.2k citations

Peers

Siew Wan Hee
Comparison fields: 5 of 100
  • Otorhinolaryngology 264
  • Pathology and Forensic Medicine 316
  • Oncology 393
  • Pulmonary and Respiratory Medicine 237
  • Biomaterials 92
Replace Nevena Damjanov with:
Nevena Damjanov United States
Mark Lee United States
Gary V. Burton United States
Roberto S Oliveri Denmark
Rohini Hawaldar India
Paula Silverman United States
Yusuke Onozawa Japan
Matthew A. Arquette United States
Giovanni Pappagallo Italy
Dorthe Brønnum Denmark
Siew Wan Hee relative to Nevena Damjanov United States Nevena Damjanov's profile →
Citations per field
00.5×3.7×
Nevena Damjanov · 1×
Citations per year

Countries citing papers authored by Siew Wan Hee

Since Specialization
Citations

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

Fields of papers citing papers by Siew Wan Hee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siew Wan Hee. 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 Siew Wan Hee. The network helps show where Siew Wan Hee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20231
3 20223
4 20217
5 20204
6 20193
7 201814
8 201810
9 20172
10 201738
11 201034
12 200954
13 2009113
14 200914
15 2009195
16 2009116
17 20087
18 200832
19 200820
20 20076

About Siew Wan Hee

Siew Wan Hee is a scholar working on Otorhinolaryngology, Statistics and Probability, Oncology, Pathology and Forensic Medicine and Economics and Econometrics, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (10 papers), Statistical Methods in Clinical Trials (7 papers), Lung Cancer Research Studies (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Musculoskeletal pain and rehabilitation (6 papers), Lung Cancer Treatments and Mutations (6 papers), Head and Neck Cancer Studies (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Otorhinolaryngology (264 citations), Pathology and Forensic Medicine (316 citations), Oncology (393 citations), Pulmonary and Respiratory Medicine (237 citations) and Biomaterials (92 citations). Siew Wan Hee has collaborated with scholars based in Singapore, United Kingdom and France. Frequent co-authors include Ivan Weng Keong Tham, Nigel Stallard, R. Yeo, Kam Weng Fong, Wan‐Teck Lim, Chee‐Keong Toh, Eu Tiong Chua, Joanne Ngeow, Soon Thye Lim and Joseph Wee. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Annals of Oncology, Head & Neck, Biometrical Journal and BMC Medical Research Methodology.

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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