Su Ming Tan

762 citations
14 papers · 352 · h-index 11

Impact in

Papers in

    • Global Cancer Incidence and Screening 5
    • Colorectal Cancer Screening and Detection 1
    • Breast Cancer Treatment Studies 4

Su Ming Tan

13 papers receiving 337 citations

Peers

Su Ming Tan
Comparison fields: 5 of 47
  • Anesthesiology and Pain Medicine 36
  • Oncology 157
  • Cancer Research 86
  • Pathology and Forensic Medicine 54
  • Dermatology 17
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Rori Salvaggio United States
Heather A. Lillemoe United States
Sanjit Kumar Agrawal India
Tieng Swee Tang Malaysia
Jianbang Chiang Singapore
Jukes P. Namm United States
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Citations per field
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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-authors

The 19 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

14 of 14 papers shown
#Work
1 201971
2
Breast cancer knowledge and screening practices: a survey of 1,000 Asian women.
200966
3 200548
4
Am I breast cancer smart? Assessing breast cancer knowledge among health professionals.
200738
5 200631
6
The contrasting presentation and management of pseudoangiomatous stromal hyperplasia of the breast.
200825
7 200217
8 201514
9
The impact of mammographic breast cancer screening in Singapore: a comparison between screen-detected and symptomatic women.
201114
10 200514
11 200110
12 20222
13 20022
14 20240

About Su Ming Tan

Su Ming Tan is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 352 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (5 papers), Breast Cancer Treatment Studies (4 papers), Airway Management and Intubation Techniques (2 papers), Foreign Body Medical Cases (2 papers), Tracheal and airway disorders (2 papers), Cancer and Skin Lesions (1 paper), Pituitary Gland Disorders and Treatments (1 paper) and Colorectal Cancer Screening and Detection (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (36 citations), Oncology (157 citations), Cancer Research (86 citations), Pathology and Forensic Medicine (54 citations) and Dermatology (17 citations). Su Ming Tan has collaborated with scholars based in Singapore, Hong Kong and United Kingdom. Frequent co-authors include Luming Shi, Chi Wei Mok, Qiaoli Zheng, Tai-Pong Lam, Kwok‐Leung Cheung, Chee Keong Chong, David Su, K. H. Tay, Young-Je Sim and Wai Leng Chow. Their work appears in journals such as Anaesthesia and Intensive Care, Cancers, The Breast, BJS Open and ANZ Journal of Surgery.

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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