Swee T. Tan

7.4k total citations · 1 hit paper
191 papers, 5.3k citations indexed

About

Swee T. Tan is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Swee T. Tan has authored 191 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Surgery, 59 papers in Molecular Biology and 51 papers in Oncology. Recurrent topics in Swee T. Tan's work include Vascular Malformations and Hemangiomas (55 papers), Vascular Malformations Diagnosis and Treatment (32 papers) and Cancer Cells and Metastasis (23 papers). Swee T. Tan is often cited by papers focused on Vascular Malformations and Hemangiomas (55 papers), Vascular Malformations Diagnosis and Treatment (32 papers) and Cancer Cells and Metastasis (23 papers). Swee T. Tan collaborates with scholars based in New Zealand, Australia and United States. Swee T. Tan's co-authors include Tinte Itinteang, Paul F. Davis, Helen D. Brasch, Nicholas D. L. Brougham, Lifeng Peng, Darren J. Day, Sydney Ch’ng, Agadha Wickremesekera, Elizabeth Dennett and Reginald Marsh and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PEDIATRICS.

In The Last Decade

Swee T. Tan

184 papers receiving 5.2k citations

Hit Papers

Unlocking hidden potential: advancements, approaches, and... 2023 2026 2024 2025 2023 25 50 75

Peers

Swee T. Tan
Comparison fields: 5 of 130
  • Surgery 2.2k
  • Molecular Biology 1.6k
  • Oncology 1.5k
  • Neurology 964
  • Epidemiology 719
Replace Jiří Bártek with:
Jiří Bártek Denmark
Kiyoshi Mukai Japan
Bita Esmaeli United States
Maria Pia Foschini Italy
Paula E. North United States
Claudio Gambini Italy
Tetsuro Nagasaka Japan
Frederic I. Preffer United States
Nobuaki Funata Japan
Nicolás Ortonne France
Jiří Bártek Denmark View profile →
Citations per field, relative to Swee T. Tan
Swee T. Tan · 1×
Citations per year, relative to Swee T. Tan
Swee T. Tan · 1×

Countries citing papers authored by Swee T. Tan

Since Specialization
Citations

This map shows the geographic impact of Swee T. Tan'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 Swee T. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swee T. Tan more than expected).

Fields of papers citing papers by Swee T. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swee T. Tan. 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 Swee T. Tan. The network helps show where Swee T. Tan may publish in the future.

Co-authorship network of co-authors of Swee T. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Swee T. Tan. A scholar is included among the top collaborators of Swee T. Tan 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 Swee T. Tan. Swee T. Tan 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
# Work Indexed citations
1 2
2 0
3 8
4 8
5 31
6 10
7 6
8 47
9 3
10 28
11 15
12 0
13 10
14 15
15
The cost of major head and neck cancer surgery.
4
16 16
17 18
18
The future of the New Zealand plastic surgery workforce.
1
19 68
20 15

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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