Su-Ming Tan

894 citations
29 papers · 393 indexed · h-index 10

Impact in

    • Breast Cancer Treatment Studies
    • Breast Implant and Reconstruction
    • Reconstructive Surgery and Microvascular Techniques
    • Reconstructive Facial Surgery Techniques

Papers in

    • Breast Cancer Treatment Studies 10
    • Global Cancer Incidence and Screening 7
    • Cancer Risks and Factors 3
    • HER2/EGFR in Cancer Research 3

Su-Ming Tan

26 papers receiving 376 citations

Peers

Su-Ming Tan
Comparison fields: 5 of 68
  • Cancer Research 91
  • Surgery 168
  • Radiology, Nuclear Medicine and Imaging 87
  • Pathology and Forensic Medicine 56
  • Oncology 77
Replace Tami Karni with:
Tami Karni Israel
Katherine Gonzalez United States
J Pereira United Kingdom
Beverley Fosh Australia
Andrzej Kurylcio Poland
Chi Wei Mok Singapore
Marcos Desídérío Ricci Brazil
Tetsu Yanagisawa Japan
Julie Kepple United States
Aye Moe Thu United States
Su-Ming Tan relative to Tami Karni Israel Tami Karni's profile →
Citations per field
00.5×2.7×
Tami Karni · 1×
Citations per year

Countries citing papers authored by Su-Ming Tan

Since Specialization
Citations

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

Fields of papers citing papers by Su-Ming Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su-Ming 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 Su-Ming Tan. The network helps show where Su-Ming Tan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 20243
4 20231
5 202211
6 20221
7 20221
8 20215
9 20217
10 20217
11 20205
12 202010
13 202051
14 20204
15 202013
16 20191
17 20180
18 20156
19 200518
20 200224

About Su-Ming Tan

Su-Ming Tan is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Geriatrics and Gerontology and Dermatology, having authored 29 papers that have together received 393 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (10 papers), Breast Implant and Reconstruction (8 papers), Global Cancer Incidence and Screening (7 papers), Breast Lesions and Carcinomas (7 papers), Reconstructive Surgery and Microvascular Techniques (5 papers), Cancer Risks and Factors (3 papers), Reconstructive Facial Surgery Techniques (3 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Cancer Research (91 citations), Surgery (168 citations), Radiology, Nuclear Medicine and Imaging (87 citations), Pathology and Forensic Medicine (56 citations) and Oncology (77 citations). Su-Ming Tan has collaborated with scholars based in Singapore, United Kingdom and Switzerland. Frequent co-authors include Gerald Gui, Eleni C. Faliakou, Ann Ward, Christina Choy, Roger A’Hern, Hui Seong Teh, Wee Teng Poh, Chi Wei Mok, Pei Ting Tan and Geeta Kadayaprath. Their work appears in journals such as Plastic & Reconstructive Surgery, The Breast, Breast Cancer Research and Treatment, Scientific Reports and ESMO Open.

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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