Elaine Tang

909 total citations
28 papers, 664 citations indexed

About

Elaine Tang is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Elaine Tang has authored 28 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 17 papers in Cardiology and Cardiovascular Medicine and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Elaine Tang's work include Congenital Heart Disease Studies (17 papers), Cardiovascular Function and Risk Factors (12 papers) and Cardiac Arrhythmias and Treatments (6 papers). Elaine Tang is often cited by papers focused on Congenital Heart Disease Studies (17 papers), Cardiovascular Function and Risk Factors (12 papers) and Cardiac Arrhythmias and Treatments (6 papers). Elaine Tang collaborates with scholars based in United States, New Zealand and Australia. Elaine Tang's co-authors include Ajit P. Yoganathan, Mark A. Fogel, Kevin K. Whitehead, Maria Restrepo, Reza H. Khiabani, James Bethel, Christopher M. Haggerty, Lucia Mirabella, Zhenglun Alan Wei and Stephen M. Paridon and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Journal of Biomechanics.

In The Last Decade

Elaine Tang

25 papers receiving 662 citations

Peers

Elaine Tang
Comparison fields: 5 of 61
  • Epidemiology 500
  • Cardiology and Cardiovascular Medicine 433
  • Pulmonary and Respiratory Medicine 260
  • Surgery 224
  • Biomedical Engineering 91
Replace Shahryar M. Chowdhury with:
Shahryar M. Chowdhury United States
Hugues Dessy Belgium
Roger P. Vermilion United States
E. Dean McKenzie United States
David Crossland United Kingdom
Olaf Jung Germany
Colm R. Breatnach Ireland
Steven C. Cassidy United States
Tarek Husayni United States
Kirsten Finucane New Zealand
Shahryar M. Chowdhury United States View profile →
Citations per field, relative to Elaine Tang
Elaine Tang · 1×
Citations per year, relative to Elaine Tang
Elaine Tang · 1×

Countries citing papers authored by Elaine Tang

Since Specialization
Citations

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

Fields of papers citing papers by Elaine Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elaine Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Elaine Tang. A scholar is included among the top collaborators of Elaine Tang 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 Elaine Tang. Elaine Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 12
3 2
4 7
5 9
6 14
7
Abstract 18082: Poor Fontan Geometry, Hemodynamics, and Computational Fluid Dynamics Are Associated With Worse Quality of Life
2
8 39
9 10
10 27
11 8
12 35
13 60
14 82
15 30
16 32
17 3
18 14
19 22
20 26

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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