Thomas Kokocinski

1.1k total citations
7 papers, 702 citations indexed

About

Thomas Kokocinski is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Thomas Kokocinski has authored 7 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Surgery and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Thomas Kokocinski's work include Cardiac Imaging and Diagnostics (6 papers), Advanced MRI Techniques and Applications (6 papers) and Cardiac electrophysiology and arrhythmias (1 paper). Thomas Kokocinski is often cited by papers focused on Cardiac Imaging and Diagnostics (6 papers), Advanced MRI Techniques and Applications (6 papers) and Cardiac electrophysiology and arrhythmias (1 paper). Thomas Kokocinski collaborates with scholars based in Germany, United Kingdom and Netherlands. Thomas Kokocinski's co-authors include Eike Nagel, Eckart Fleck, Sebastian Kelle, Rolf Gebker, Ingo Paetsch, Cosima Jahnke, Robert Manka, Jeroen J. Bax, Stijntje D. Roes and Albert de Roos 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

Thomas Kokocinski

7 papers receiving 688 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Kokocinski Germany 6 594 404 139 108 24 7 702
J Vargas United States 3 888 1.5× 713 1.8× 169 1.2× 118 1.1× 25 1.0× 4 1.0k
W. Patricia Ingkanisorn United States 9 544 0.9× 429 1.1× 106 0.8× 72 0.7× 13 0.5× 10 621
Joshi Cherayath Australia 5 419 0.7× 571 1.4× 109 0.8× 37 0.3× 37 1.5× 6 692
Robin Westcott United States 4 609 1.0× 434 1.1× 217 1.6× 163 1.5× 50 2.1× 6 734
Bonnie Mack United States 4 404 0.7× 495 1.2× 123 0.9× 44 0.4× 54 2.3× 6 641
Tomoyuki Kido Japan 15 496 0.8× 235 0.6× 81 0.6× 164 1.5× 43 1.8× 53 642
Alex Natanzon United States 5 478 0.8× 444 1.1× 95 0.7× 35 0.3× 70 2.9× 6 642
Raquel Themudo Sweden 11 313 0.5× 289 0.7× 123 0.9× 58 0.5× 92 3.8× 25 518
Michele Galli Italy 14 412 0.7× 431 1.1× 187 1.3× 49 0.5× 58 2.4× 52 600
H.R. Schelbert United States 8 443 0.7× 325 0.8× 86 0.6× 51 0.5× 55 2.3× 16 637

Countries citing papers authored by Thomas Kokocinski

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Kokocinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Kokocinski

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

All Works

7 of 7 papers shown
1.
Schnackenburg, Bernhard, et al.. (2012). Visualization of Chronic Myocardial Infarction Using the Intravascular Contrast Agent MS-325 (Gadofosveset) in Patients. The Scientific World JOURNAL. 2012. 1–6. 9 indexed citations
2.
Kelle, Sebastian, Stijntje D. Roes, Christoph Klein, et al.. (2009). Prognostic Value of Myocardial Infarct Size and Contractile Reserve Using Magnetic Resonance Imaging. Journal of the American College of Cardiology. 54(19). 1770–1777. 134 indexed citations
3.
Klein, Christoph, Rolf Gebker, Thomas Kokocinski, et al.. (2008). Combined magnetic resonance coronary artery imaging, myocardial perfusion and late gadolinium enhancement in patients with suspected coronary artery disease. Journal of Cardiovascular Magnetic Resonance. 10(1). 45–45. 50 indexed citations
4.
Jahnke, Cosima, Eike Nagel, Rolf Gebker, et al.. (2007). Prognostic Value of Cardiac Magnetic Resonance Stress Tests. Circulation. 115(13). 1769–1776. 343 indexed citations
5.
Roes, Stijntje D., Sebastian Kelle, Theodorus A.M. Kaandorp, et al.. (2007). Comparison of Myocardial Infarct Size Assessed With Contrast-Enhanced Magnetic Resonance Imaging and Left Ventricular Function and Volumes to Predict Mortality in Patients With Healed Myocardial Infarction. The American Journal of Cardiology. 100(6). 930–936. 159 indexed citations
6.
Streitparth, Florian, Gero Wieners, R Schröder, et al.. (2006). Bedeutung der zerebralen Perfusionsmessung am Mehrzeilenspiral-CT in der Demenzdiagnostik. Der Radiologe. 48(2). 175–184. 5 indexed citations
7.
Tangcharoen, Tarinee, et al.. (2006). Evaluation of Multiple Coronary Artery Aneurysms in Kawasaki’s Disease by Whole Heart Non-Contrast Enhanced MRI. International journal of cardiac imaging. 22(6). 807–810. 2 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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