Steve S. Lin

455 total citations
8 papers, 318 citations indexed

About

Steve S. Lin is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Steve S. Lin has authored 8 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Steve S. Lin's work include Cardiovascular Function and Risk Factors (5 papers), Cardiac Imaging and Diagnostics (4 papers) and Pulmonary Hypertension Research and Treatments (3 papers). Steve S. Lin is often cited by papers focused on Cardiovascular Function and Risk Factors (5 papers), Cardiac Imaging and Diagnostics (4 papers) and Pulmonary Hypertension Research and Treatments (3 papers). Steve S. Lin collaborates with scholars based in United States and Belarus. Steve S. Lin's co-authors include Stuart Rich, Sidney Levitsky, Bruce H. Brundage, Eric K. Louie, Craig R. Asher, James B. Seward, Patricia A. Pellikka, R. Pascoe, E. Louie and Mark T. Murphy and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Steve S. Lin

8 papers receiving 293 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Steve S. Lin United States 7 261 131 130 83 80 8 318
Ricardo Benenstein United States 10 399 1.5× 181 1.4× 109 0.8× 93 1.1× 108 1.4× 29 465
Vitor Guerra Canada 10 218 0.8× 247 1.9× 178 1.4× 143 1.7× 57 0.7× 24 368
Thérèse Lognoné France 8 170 0.7× 57 0.4× 152 1.2× 123 1.5× 61 0.8× 28 270
Georgeanne Lammertin United States 10 301 1.2× 127 1.0× 60 0.5× 78 0.9× 151 1.9× 14 347
Alberto Massoni Italy 4 413 1.6× 54 0.4× 141 1.1× 78 0.9× 143 1.8× 6 445
Lee Fong Ling United States 6 263 1.0× 114 0.9× 109 0.8× 103 1.2× 141 1.8× 12 344
Guus Brueren Netherlands 9 325 1.2× 164 1.3× 113 0.9× 121 1.5× 114 1.4× 17 373
Raj S. Ballal United States 9 282 1.1× 59 0.5× 185 1.4× 175 2.1× 100 1.3× 17 374
N. Wittlich Germany 9 286 1.1× 83 0.6× 202 1.6× 108 1.3× 75 0.9× 22 381
Ebere O. Chukwu United States 5 299 1.1× 106 0.8× 125 1.0× 48 0.6× 140 1.8× 8 326

Countries citing papers authored by Steve S. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Steve S. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve S. Lin. 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 Steve S. Lin. The network helps show where Steve S. Lin may publish in the future.

Co-authorship network of co-authors of Steve S. Lin

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

All Works

8 of 8 papers shown
1.
Yu, Brian, et al.. (2019). RELATIONSHIP BETWEEN GLOBAL LONGITUDINAL STRAIN AND LEFT VENTRICULAR DIASTOLIC FUNCTION. Journal of the American College of Cardiology. 73(9). 1675–1675. 7 indexed citations
2.
Rubin, David N., Jill Odabashian, Mario J. García, et al.. (2002). Contrast and Harmonic Imaging Improves Accuracy and Efficiency of Novice Readers for Dobutamine Stress Echocardiography. Echocardiography. 19(6). 483–488. 31 indexed citations
3.
Lin, Steve S., Michael S. Lauer, Craig R. Asher, et al.. (2001). Prediction of coronary artery disease in patients undergoing operations for mitral valve degeneration. Journal of Thoracic and Cardiovascular Surgery. 121(5). 894–901. 22 indexed citations
4.
Lin, Steve S., et al.. (2000). Prediction of thrombus-related mechanical prosthetic valve dysfunction using transesophageal echocardiography. The American Journal of Cardiology. 86(10). 1097–1101. 49 indexed citations
5.
Lin, Steve S., et al.. (1998). Dobutamine stress Doppler hemodynamics in patients with aortic stenosis: Feasibility, safety, and surgical correlations. American Heart Journal. 136(6). 1010–1016. 43 indexed citations
6.
Lin, Steve S., Jae K. Oh, A. Jamil Tajik, et al.. (1995). 901-53 Right-to-Left Shunts in Patients with Severe Hypoxemia: Transesophageal Contrast Echocardiography Study. Journal of the American College of Cardiology. 25(2). 17A–17A. 1 indexed citations
7.
Louie, Eric K., et al.. (1995). Pressure and Volume Loading of the Right Ventricle Have Opposite Effects on Left Ventricular Ejection Fraction. Circulation. 92(4). 819–824. 134 indexed citations
8.
Lin, Steve S., et al.. (1994). Right ventricular volume overload results in depression of left ventricular ejection fraction. Implications for the surgical management of tricuspid valve disease.. PubMed. 90(5 Pt 2). II209–13. 31 indexed citations

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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