Leonard Tan

28 total papers · 1.3k total citations
22 papers, 936 citations indexed

About

Leonard Tan is a scholar working on Epidemiology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Leonard Tan has authored 22 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Surgery and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Leonard Tan's work include Herpesvirus Infections and Treatments (3 papers), Infectious Diseases and Tuberculosis (2 papers) and Anesthesia and Pain Management (2 papers). Leonard Tan is often cited by papers focused on Herpesvirus Infections and Treatments (3 papers), Infectious Diseases and Tuberculosis (2 papers) and Anesthesia and Pain Management (2 papers). Leonard Tan collaborates with scholars based in Canada, United States and Singapore. Leonard Tan's co-authors include Moe Khan, Andrew B. Adegbite, Kenneth W. E. Paine, Helena Klomp, Roland Dyck, Roger W. Turnell, Robert Griebel, Alex Wilkinson, Jaime C. Pinilla and Baikunth Bharadwaj and has published in prestigious journals such as Diabetes Care, American Journal of Respiratory and Critical Care Medicine and Cancer.

In The Last Decade

Leonard Tan

22 papers receiving 868 citations

Hit Papers

The recurrence of intracr... 1983 2026 1997 2011 1983 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Leonard Tan 466 369 368 149 132 22 936
Andrew Faramand 387 0.8× 244 0.7× 184 0.5× 89 0.6× 38 0.3× 48 1.0k
Susan Eaton 250 0.5× 322 0.9× 90 0.2× 40 0.3× 31 0.2× 28 1.0k
Charles J. Fagan 135 0.3× 75 0.2× 486 1.3× 147 1.0× 53 0.4× 43 1.1k
Michelle Schmiegelow 95 0.2× 89 0.2× 157 0.4× 67 0.4× 27 0.2× 34 805
H. Lynn Magill 172 0.4× 72 0.2× 271 0.7× 417 2.8× 48 0.4× 44 1.1k
Giancarlo Garuti 122 0.3× 64 0.2× 64 0.2× 139 0.9× 157 1.2× 40 1.1k
Alicia K. Au 314 0.7× 275 0.7× 113 0.3× 129 0.9× 11 0.1× 42 1.0k
Sean M. Bailey 120 0.3× 145 0.4× 244 0.7× 284 1.9× 74 0.6× 44 1.1k
Avishai Ziser 209 0.4× 41 0.1× 356 1.0× 91 0.6× 57 0.4× 31 830
Jocelyn Tolentino 220 0.5× 739 2.0× 93 0.3× 30 0.2× 68 0.5× 15 1.1k

Countries citing papers authored by Leonard Tan

Since Specialization
Citations

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

Fields of papers citing papers by Leonard Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard Tan

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