Say‐Beng Tan

1.6k total citations · 1 hit paper
16 papers, 1.2k citations indexed

About

Say‐Beng Tan is a scholar working on Statistics and Probability, Epidemiology and Ophthalmology. According to data from OpenAlex, Say‐Beng Tan has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 5 papers in Epidemiology and 4 papers in Ophthalmology. Recurrent topics in Say‐Beng Tan's work include Statistical Methods in Clinical Trials (7 papers), Ophthalmology and Visual Impairment Studies (4 papers) and Optimal Experimental Design Methods (4 papers). Say‐Beng Tan is often cited by papers focused on Statistical Methods in Clinical Trials (7 papers), Ophthalmology and Visual Impairment Studies (4 papers) and Optimal Experimental Design Methods (4 papers). Say‐Beng Tan collaborates with scholars based in Singapore, United Kingdom and Australia. Say‐Beng Tan's co-authors include Seang‐Mei Saw, Tien Yin Wong, David Machin, Pierce K. H. Chow, Hwee-Bee Wong, London Lucien Ooi, Miao Shan Lim, John Carson Allen, Alexander Chung and Peng Chung Cheow and has published in prestigious journals such as PLoS ONE, Annals of Surgery and Ophthalmology.

In The Last Decade

Say‐Beng Tan

16 papers receiving 1.1k citations

Hit Papers

Microvascular Invasion Is a Better Predictor of Tumor Rec... 2011 2026 2016 2021 2011 100 200 300 400

Peers

Say‐Beng Tan
Comparison fields: 5 of 102
  • Epidemiology 555
  • Radiology, Nuclear Medicine and Imaging 540
  • Hepatology 411
  • Ophthalmology 340
  • Surgery 157
Replace Kadir Bahar with:
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Kerstin A. Kessel Germany
Joann Fontanarosa United States
Ping Hou China
Jin Joo Kim South Korea
Robert Lehr United States
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Kadir Bahar United States View profile →
Citations per field, relative to Say‐Beng Tan
Say‐Beng Tan · 1×
Citations per year, relative to Say‐Beng Tan
Say‐Beng Tan · 1×

Countries citing papers authored by Say‐Beng Tan

Since Specialization
Citations

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

Fields of papers citing papers by Say‐Beng Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Say‐Beng 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 Say‐Beng Tan. The network helps show where Say‐Beng Tan may publish in the future.

Co-authorship network of co-authors of Say‐Beng Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Say‐Beng Tan. A scholar is included among the top collaborators of Say‐Beng 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 Say‐Beng Tan. Say‐Beng Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 55
2
Microvascular Invasion Is a Better Predictor of Tumor Recurrence and Overall Survival Following Surgical Resection for Hepatocellular Carcinoma Compared to the Milan Criteria breakdown →
423
3 27
4 4
5 125
6 73
7 77
8 5
9 5
10 165
11 17
12 9
13 21
14 122
15 25
16 10

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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