Frans J.Th Wackers

702 total citations
8 papers, 533 citations indexed

About

Frans J.Th Wackers is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Frans J.Th Wackers has authored 8 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Surgery. Recurrent topics in Frans J.Th Wackers's work include Cardiac Imaging and Diagnostics (6 papers), Cardiovascular Function and Risk Factors (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Frans J.Th Wackers is often cited by papers focused on Cardiac Imaging and Diagnostics (6 papers), Cardiovascular Function and Risk Factors (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Frans J.Th Wackers collaborates with scholars based in United States and Italy. Frans J.Th Wackers's co-authors include Barry L. Zaret, Donna Natale, Kevin M. Johnson, Patrick J. Lynch, C. Carl Jaffe, Harlan M. Krumholz, Thomas Behrenbeck, Mario S. Verani, Patricia A. Pellikka and John J. Mahmarian and has published in prestigious journals such as Journal of the American College of Cardiology, Annals of the New York Academy of Sciences and The American Journal of Cardiology.

In The Last Decade

Frans J.Th Wackers

7 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frans J.Th Wackers United States 6 435 282 99 36 28 8 533
Emrah Bozbeyoğlu Türkiye 11 270 0.6× 139 0.5× 84 0.8× 16 0.4× 28 1.0× 29 358
Andrés Orlandini Italy 7 528 1.2× 501 1.8× 120 1.2× 17 0.5× 47 1.7× 10 663
Ali M. Kizilbash United States 8 456 1.0× 211 0.7× 94 0.9× 26 0.7× 62 2.2× 10 553
Daria Frestad Denmark 12 401 0.9× 305 1.1× 154 1.6× 40 1.1× 24 0.9× 19 568
Horacio Medina de Chazal United States 6 381 0.9× 143 0.5× 106 1.1× 24 0.7× 11 0.4× 9 479
Satoshi Jissho Japan 11 239 0.5× 100 0.4× 92 0.9× 65 1.8× 26 0.9× 17 338
Kenan Demır Türkiye 13 195 0.4× 58 0.2× 72 0.7× 24 0.7× 33 1.2× 40 322
Hanne Maare Søndergaard Denmark 12 221 0.5× 93 0.3× 83 0.8× 49 1.4× 14 0.5× 33 404
Michael Shen United States 8 221 0.5× 398 1.4× 111 1.1× 15 0.4× 123 4.4× 20 602
Claudia Taddei Italy 10 302 0.7× 57 0.2× 73 0.7× 57 1.6× 17 0.6× 28 417

Countries citing papers authored by Frans J.Th Wackers

Since Specialization
Citations

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

Fields of papers citing papers by Frans J.Th Wackers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frans J.Th Wackers. 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 Frans J.Th Wackers. The network helps show where Frans J.Th Wackers may publish in the future.

Co-authorship network of co-authors of Frans J.Th Wackers

This figure shows the co-authorship network connecting the top 25 collaborators of Frans J.Th Wackers. A scholar is included among the top collaborators of Frans J.Th Wackers 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 Frans J.Th Wackers. Frans J.Th Wackers 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.
Wackers, Frans J.Th. (2005). Diabetes and coronary artery disease: the role of stress myocardial perfusion imaging.. Cleveland Clinic Journal of Medicine. 72(1). 21–25. 15 indexed citations
2.
Ramahi, Tarik M., et al.. (2001). Left ventricular inotropic reserve and right ventricular function predict increase of left ventricular ejection fraction after beta-blocker therapy in nonischemic cardiomyopathy. Journal of the American College of Cardiology. 37(3). 818–824. 39 indexed citations
3.
Shen, Michael, et al.. (1999). Quantification of regional myocardial wall thickening on electrocardiogram-gated SPECT imaging. Journal of Nuclear Cardiology. 6(6). 583–595. 21 indexed citations
4.
Jain, Diwakar, et al.. (1998). Effects of Mental Stress on Left Ventricular and Peripheral Vascular Performance in Patients With Coronary Artery Disease. Journal of the American College of Cardiology. 31(6). 1314–1322. 82 indexed citations
5.
Jaffe, C. Carl, Harlan M. Krumholz, Kevin M. Johnson, et al.. (1996). Comparison and reproducibility of visual echocardiographic and quantitative radionyclide left ventricular ejection fractions. The American Journal of Cardiology. 77(10). 843–850. 212 indexed citations
6.
Zaret, Barry L. & Frans J.Th Wackers. (1990). Myocardial Perfusion Scintigraphy as an Aid in Understanding Electrocardiographic Changes of Ischemia and Infarction. Annals of the New York Academy of Sciences. 601(1). 107–118.
7.
Farlow, David, et al.. (1989). Early image acquisition after administration of indium-111 platelets in clinically suspected deep venous thrombosis. The American Journal of Cardiology. 64(5). 363–368. 2 indexed citations
8.
Wackers, Frans J.Th, Raymond J. Gibbons, Mario S. Verani, et al.. (1989). Serial quantitative planar technetium-99m isonitrile imaging in acute myocardial infarction: Efficacy for noninvasive assessment of thrombolytic therapy. Journal of the American College of Cardiology. 14(4). 861–873. 162 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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