Say Beng Tan

113 total papers · 3.1k total citations
39 papers, 1.9k citations indexed

About

Say Beng Tan is a scholar working on Oncology, Statistics and Probability and Surgery. According to data from OpenAlex, Say Beng Tan has authored 39 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Statistics and Probability and 5 papers in Surgery. Recurrent topics in Say Beng Tan's work include Statistical Methods in Clinical Trials (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Say Beng Tan is often cited by papers focused on Statistical Methods in Clinical Trials (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Say Beng Tan collaborates with scholars based in Singapore, United Kingdom and United States. Say Beng Tan's co-authors include Sze Huey Tan, David Machin, Michael J. Campbell, Arul Earnest, Annelies Wilder‐Smith, Tam Ha, Khee Chee Soo, Ching Chiuan Yen, Hock Chuan Chan and Henry Been‐Lirn Duh and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Hepatology.

In The Last Decade

Say Beng Tan

39 papers receiving 1.8k citations

Hit Papers

Sample Size Tables for Cl... 2008 2026 2014 2020 2008 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Say Beng Tan 249 237 214 187 184 39 1.9k
Dean Langan 211 0.8× 284 1.2× 185 0.9× 115 0.6× 169 0.9× 34 2.5k
Priya Ranganathan 259 1.0× 384 1.6× 247 1.2× 239 1.3× 326 1.8× 89 2.6k
Maria Blettner 337 1.4× 231 1.0× 351 1.6× 134 0.7× 182 1.0× 53 2.9k
Bernd Röhrig 218 0.9× 209 0.9× 216 1.0× 283 1.5× 206 1.1× 54 2.0k
John Hornberger 209 0.8× 331 1.4× 284 1.3× 283 1.5× 279 1.5× 42 2.8k
Priscilla Velentgas 219 0.9× 118 0.5× 267 1.2× 275 1.5× 187 1.0× 42 1.8k
D. J. Newell 156 0.6× 342 1.4× 198 0.9× 128 0.7× 240 1.3× 81 2.7k
Kristin L. Sainani 367 1.5× 363 1.5× 329 1.5× 100 0.5× 230 1.3× 83 2.9k
S J Pocock 384 1.5× 420 1.8× 312 1.5× 132 0.7× 257 1.4× 37 3.2k
Eve Wittenberg 331 1.3× 287 1.2× 276 1.3× 148 0.8× 190 1.0× 48 2.0k

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

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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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