Jane Vidaic

429 total citations
9 papers, 327 citations indexed

About

Jane Vidaic is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jane Vidaic has authored 9 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jane Vidaic's work include Cardiovascular Function and Risk Factors (7 papers), Cardiac Imaging and Diagnostics (5 papers) and Cardiac pacing and defibrillation studies (5 papers). Jane Vidaic is often cited by papers focused on Cardiovascular Function and Risk Factors (7 papers), Cardiac Imaging and Diagnostics (5 papers) and Cardiac pacing and defibrillation studies (5 papers). Jane Vidaic collaborates with scholars based in Australia, Netherlands and Spain. Jane Vidaic's co-authors include Dominic Y. Leung, Christine Allman, Arnold C.T. Ng, Phuong Pham, A. Hopkins, Liza Thomas, Anita Boyd, Mark Newman, Jeroen J. Bax and Gaetano Nucifora and has published in prestigious journals such as Circulation, European Heart Journal and The American Journal of Cardiology.

In The Last Decade

Jane Vidaic

9 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Vidaic Australia 8 309 164 43 36 17 9 327
Farqad Alamgir United Kingdom 7 228 0.7× 136 0.8× 45 1.0× 63 1.8× 26 1.5× 8 263
Torkel Steen Norway 6 261 0.8× 86 0.5× 50 1.2× 21 0.6× 17 1.0× 18 293
SG Ray United Kingdom 7 270 0.9× 124 0.8× 53 1.2× 24 0.7× 18 1.1× 10 303
K. Profitis Australia 7 302 1.0× 142 0.9× 66 1.5× 94 2.6× 43 2.5× 12 322
Thomas Dahlslett Norway 6 353 1.1× 180 1.1× 77 1.8× 19 0.5× 25 1.5× 11 395
Maximilian Krisper Germany 5 425 1.4× 207 1.3× 68 1.6× 83 2.3× 47 2.8× 7 453
Jean‐Yves Wielandts Belgium 14 408 1.3× 86 0.5× 37 0.9× 47 1.3× 10 0.6× 35 482
Kei Mizukoshi Japan 9 306 1.0× 141 0.9× 48 1.1× 70 1.9× 49 2.9× 18 332
Espen Boe Norway 8 246 0.8× 111 0.7× 51 1.2× 22 0.6× 19 1.1× 13 260
Rohan Jagathesan United Kingdom 11 164 0.5× 158 1.0× 96 2.2× 20 0.6× 13 0.8× 26 247

Countries citing papers authored by Jane Vidaic

Since Specialization
Citations

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

Fields of papers citing papers by Jane Vidaic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Vidaic

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

All Works

9 of 9 papers shown
1.
Pham, Phuong, et al.. (2015). Changes in Right Ventricular Function with Exercise in Healthy Subjects: Optimal Parameters and Effects of Gender and Age. Journal of the American Society of Echocardiography. 28(12). 1441–1451.e1. 9 indexed citations
2.
Boyd, Anita, et al.. (2014). Effects of Age and Gender on Right Ventricular Systolic and Diastolic Function Using Two-Dimensional Speckle-Tracking Strain. Journal of the American Society of Echocardiography. 27(10). 1079–1086.e1. 40 indexed citations
3.
Ng, Arnold C.T., et al.. (2009). Prognostic implications of left ventricular dyssynchrony early after non-ST elevation myocardial infarction without congestive heart failure. European Heart Journal. 31(3). 298–308. 13 indexed citations
4.
Ng, Arnold C.T., et al.. (2009). Long-Term Impact of Right Ventricular Septal Versus Apical Pacing on Left Ventricular Synchrony and Function in Patients With Second- or Third-Degree Heart Block. The American Journal of Cardiology. 103(8). 1096–1101. 74 indexed citations
5.
Ng, Arnold C.T., Marta Sitges, Phuong Pham, et al.. (2009). Incremental value of 2-dimensional speckle tracking strain imaging to wall motion analysis for detection of coronary artery disease in patients undergoing dobutamine stress echocardiography. American Heart Journal. 158(5). 836–844. 110 indexed citations
7.
Ng, Arnold C.T., Mark Newman, Christine Allman, et al.. (2008). Left Ventricular Longitudinal and Radial Synchrony and Their Determinants in Healthy Subjects. Journal of the American Society of Echocardiography. 21(9). 1042–1048. 31 indexed citations
8.
Ng, Arnold C.T., Mark Newman, Christine Allman, et al.. (2008). Comparison of Myocardial Tissue Velocities Measured by Two-Dimensional Speckle Tracking and Tissue Doppler Imaging. The American Journal of Cardiology. 102(6). 784–789. 39 indexed citations
9.
Ng, Arnold C.T., Mark Newman, Christine Allman, et al.. (2007). Clinical and echocardiographic determinants of left ventricular synchrony. Circulation. 116(16). 627–627. 1 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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