Vincent K.H Tam

44 total papers · 1.7k total citations
35 papers, 1.2k citations indexed

About

Vincent K.H Tam is a scholar working on Epidemiology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Vincent K.H Tam has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 19 papers in Surgery and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Vincent K.H Tam's work include Congenital Heart Disease Studies (19 papers), Coronary Artery Anomalies (6 papers) and Cardiac Structural Anomalies and Repair (5 papers). Vincent K.H Tam is often cited by papers focused on Congenital Heart Disease Studies (19 papers), Coronary Artery Anomalies (6 papers) and Cardiac Structural Anomalies and Repair (5 papers). Vincent K.H Tam collaborates with scholars based in United States, United Kingdom and Canada. Vincent K.H Tam's co-authors include Kirk R. Kanter, Bruce E. Miller, Eldad Erez, Steven R. Tosone, Willis H. Williams, Jerrold H. Levy, James M. Bailey, Derek A. Fyfe, Shiva Sharma and William T. Mahle and has published in prestigious journals such as Journal of the American College of Cardiology, Anesthesiology and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Vincent K.H Tam

34 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Vincent K.H Tam 729 577 489 459 187 35 1.2k
John M. Kratz 406 0.6× 728 1.3× 384 0.8× 974 2.1× 135 0.7× 57 1.5k
Jens Faßl 475 0.7× 440 0.8× 376 0.8× 974 2.1× 79 0.4× 69 1.4k
Chandana Ratnatunga 267 0.4× 548 0.9× 291 0.6× 611 1.3× 160 0.9× 28 1.2k
Hisashi Nikaidoh 700 1.0× 580 1.0× 539 1.1× 358 0.8× 119 0.6× 36 1.1k
Glenn W. Laub 267 0.4× 745 1.3× 251 0.5× 789 1.7× 116 0.6× 50 1.4k
R. Scott McClure 380 0.5× 691 1.2× 499 1.0× 894 1.9× 102 0.5× 43 1.3k
S Westaby 150 0.2× 661 1.1× 226 0.5× 479 1.0× 244 1.3× 38 1.1k
Mariann Tang 563 0.8× 410 0.7× 215 0.4× 733 1.6× 82 0.4× 43 1.2k
Cathy S. Ross 245 0.3× 546 0.9× 294 0.6× 679 1.5× 118 0.6× 25 1.1k
Joshua W. Salvin 627 0.9× 542 0.9× 347 0.7× 246 0.5× 498 2.7× 41 1.1k

Countries citing papers authored by Vincent K.H Tam

Since Specialization
Citations

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

Fields of papers citing papers by Vincent K.H Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent K.H Tam. 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 Vincent K.H Tam. The network helps show where Vincent K.H Tam may publish in the future.

Co-authorship network of co-authors of Vincent K.H Tam

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent K.H Tam. A scholar is included among the top collaborators of Vincent K.H Tam 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 Vincent K.H Tam. Vincent K.H Tam 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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