J T Lie

46 total papers · 3.1k total citations
28 papers, 2.1k citations indexed

About

J T Lie is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J T Lie has authored 28 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 10 papers in Surgery and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in J T Lie's work include Congenital Heart Disease Studies (5 papers), Congenital heart defects research (3 papers) and Adrenal and Paraganglionic Tumors (3 papers). J T Lie is often cited by papers focused on Congenital Heart Disease Studies (5 papers), Congenital heart defects research (3 papers) and Adrenal and Paraganglionic Tumors (3 papers). J T Lie collaborates with scholars based in United States, China and Indonesia. J T Lie's co-authors include Sheldon G. Sheps, Martin G. St. John Sutton, P. Hammond, K. R. Anderson, J A Carney, C. Mary Beard, L. T. Kurland, A. J. Moulaert, Robert H. Anderson and Benigno Soto and has published in prestigious journals such as Circulation, Annals of Internal Medicine and Neurology.

In The Last Decade

J T Lie

27 papers receiving 2.0k citations

Hit Papers

Prevalence of clinically ... 1981 2026 1996 2011 1981 100 200 300

Author Peers

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

Author Last Decade Papers Cites
J T Lie 1.1k 855 665 502 338 28 2.1k
Keith Friend 315 0.3× 531 0.6× 1.3k 1.9× 385 0.8× 303 0.9× 52 2.9k
Penny J. Hunt 601 0.6× 955 1.1× 759 1.1× 160 0.3× 95 0.3× 42 2.1k
Thomas K. Nordt 451 0.4× 561 0.7× 300 0.5× 430 0.9× 315 0.9× 33 1.7k
Alfred Szamosi 393 0.4× 706 0.8× 405 0.6× 389 0.8× 492 1.5× 36 1.9k
Nicole L. Glazer 493 0.5× 927 1.1× 150 0.2× 265 0.5× 293 0.9× 31 3.0k
Yoji Nagai 409 0.4× 790 0.9× 152 0.2× 451 0.9× 156 0.5× 66 2.1k
J A Brinker 794 0.8× 1.5k 1.8× 315 0.5× 367 0.7× 91 0.3× 29 2.7k
Libuse Tauchmanovà 1.0k 1.0× 318 0.4× 1.6k 2.4× 218 0.4× 224 0.7× 83 3.2k
Oddmund Joakimsen 415 0.4× 1.7k 2.0× 510 0.8× 527 1.0× 118 0.3× 34 2.7k
David Yü Greenblatt 1.0k 1.0× 361 0.4× 396 0.6× 197 0.4× 205 0.6× 51 2.6k

Countries citing papers authored by J T Lie

Since Specialization
Citations

This map shows the geographic impact of J T Lie'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 J T Lie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J T Lie more than expected).

Fields of papers citing papers by J T Lie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J T Lie

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