Ek T. Tan

184 total papers · 2.4k total citations
114 papers, 1.4k citations indexed

About

Ek T. Tan is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Ek T. Tan has authored 114 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Radiology, Nuclear Medicine and Imaging, 45 papers in Surgery and 33 papers in Pathology and Forensic Medicine. Recurrent topics in Ek T. Tan's work include Advanced MRI Techniques and Applications (40 papers), Advanced Neuroimaging Techniques and Applications (34 papers) and Spine and Intervertebral Disc Pathology (31 papers). Ek T. Tan is often cited by papers focused on Advanced MRI Techniques and Applications (40 papers), Advanced Neuroimaging Techniques and Applications (34 papers) and Spine and Intervertebral Disc Pathology (31 papers). Ek T. Tan collaborates with scholars based in United States, Germany and Taiwan. Ek T. Tan's co-authors include Darryl B. Sneag, Luca Marinelli, Christopher J. Hardy, Kevin F. King, Seung‐Kyun Lee, Jonathan I. Sperl, Matt A. Bernstein, John Huston, Thomas Foo and Marion I. Menzel and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Clinical Infectious Diseases.

In The Last Decade

Ek T. Tan

105 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Ek T. Tan 926 375 234 209 128 114 1.4k
Lawrence Tanenbaum 592 0.6× 258 0.7× 170 0.7× 205 1.0× 235 1.8× 61 1.4k
Chuan Huang 981 1.1× 127 0.3× 230 1.0× 71 0.3× 48 0.4× 110 1.8k
Casey P. Johnson 258 0.3× 282 0.8× 115 0.5× 94 0.4× 107 0.8× 86 1.2k
Khin Khin Tha 992 1.1× 184 0.5× 134 0.6× 70 0.3× 307 2.4× 78 1.7k
Erika J. Ulbrich 388 0.4× 578 1.5× 194 0.8× 255 1.2× 103 0.8× 45 1.3k
Isabella M. Björkman‐Burtscher 926 1.0× 275 0.7× 255 1.1× 51 0.2× 156 1.2× 88 1.8k
Weibo Chen 883 1.0× 144 0.4× 130 0.6× 68 0.3× 86 0.7× 109 1.7k
Hiroshi Kumagai 308 0.3× 290 0.8× 249 1.1× 140 0.7× 146 1.1× 97 1.2k
Félix P. Kuhn 952 1.0× 222 0.6× 201 0.9× 44 0.2× 137 1.1× 53 1.6k
Luc van den Hauwe 355 0.4× 590 1.6× 142 0.6× 429 2.1× 432 3.4× 69 1.6k

Countries citing papers authored by Ek T. Tan

Since Specialization
Citations

This map shows the geographic impact of Ek 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 Ek 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 Ek T. Tan more than expected).

Fields of papers citing papers by Ek T. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Ek T. Tan. A scholar is included among the top collaborators of Ek 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 Ek T. Tan. Ek T. 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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