Michael Ringborn

695 total citations
27 papers, 466 citations indexed

About

Michael Ringborn is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael Ringborn has authored 27 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 14 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael Ringborn's work include Cardiac electrophysiology and arrhythmias (22 papers), Cardiac Imaging and Diagnostics (14 papers) and ECG Monitoring and Analysis (13 papers). Michael Ringborn is often cited by papers focused on Cardiac electrophysiology and arrhythmias (22 papers), Cardiac Imaging and Diagnostics (14 papers) and ECG Monitoring and Analysis (13 papers). Michael Ringborn collaborates with scholars based in Sweden, United States and Spain. Michael Ringborn's co-authors include Olle Pahlm, Stafford G. Warren, Jonas Pettersson, Leif Sörnmo, Galen S. Wagner, Pablo Laguna, Lars Edenbrandt, Esther Pueyo, Daniel Romero and G. Wagner and has published in prestigious journals such as Journal of the American College of Cardiology, European Heart Journal and The American Journal of Cardiology.

In The Last Decade

Michael Ringborn

27 papers receiving 459 citations

Peers

Michael Ringborn
Hsin‐Yueh Liang Taiwan
Conner Galloway United States
Shoji Yasui Japan
Neil T. Srinivasan United Kingdom
P Barreca United States
Elyar Ghafoori United States
P. Steinbigler Germany
Pierce J. Vatterott United States
Debra Stewart United States
Chih‐Min Liu Taiwan
Hsin‐Yueh Liang Taiwan
Michael Ringborn
Citations per year, relative to Michael Ringborn Michael Ringborn (= 1×) peers Hsin‐Yueh Liang

Countries citing papers authored by Michael Ringborn

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ringborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Ringborn

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Ringborn. A scholar is included among the top collaborators of Michael Ringborn 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 Michael Ringborn. Michael Ringborn 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
1.
Odeberg, Jacob, Anders Halling, Michael Ringborn, et al.. (2025). Markers of inflammation predicts long-term mortality in patients with acute coronary syndrome – a cohort study. BMC Cardiovascular Disorders. 25(1). 190–190. 2 indexed citations
2.
3.
Lindow, Thomas, Stafford G. Warren, Eva Persson, et al.. (2023). Immediate recruitment of dormant coronary collaterals can provide more than half of normal resting perfusion during coronary occlusion in patients with coronary artery disease. Journal of Nuclear Cardiology. 30(6). 2338–2345. 1 indexed citations
4.
Holmqvist, Fredrik, Milos Kesek, Anders Englund, et al.. (2018). A decade of catheter ablation of cardiac arrhythmias in Sweden: ablation practices and outcomes. European Heart Journal. 40(10). 820–830. 63 indexed citations
5.
Pahlm, Olle, et al.. (2017). The STAFF III Database: ECGs Recorded During Acutely Induced Myocardial Ischemia. Computing in cardiology. 27 indexed citations
6.
Pahlm, Olle, et al.. (2016). A 12-lead ECG-method for quantifying ischemia-induced QRS prolongation to estimate the severity of the acute myocardial event. Journal of Electrocardiology. 49(3). 272–277. 5 indexed citations
7.
Jennings, Robert B., Arie C. Maan, Michael Ringborn, et al.. (2015). Ischemic QRS prolongation as a biomarker of severe myocardial ischemia. Journal of Electrocardiology. 49(2). 139–147. 8 indexed citations
8.
Carlsen, Esben Andreas, Mariëlla E.C.J. Hassell, Irene E.G. van Hellemond, et al.. (2014). The stability of myocardial area at risk estimated electrocardiographically in patients with ST elevation myocardial infarction. Journal of Electrocardiology. 47(4). 540–545. 2 indexed citations
9.
10.
Ringborn, Michael, Yochai Birnbaum, Søren Steen Nielsen, et al.. (2013). TERMINAL QRS DISTORTION ON PREHOSPITAL ECG AFFECTS THE IMPACT OF SYMPTOM-TO-BALLOON TIME ON SALVAGE IN STEMI PATIENTS TREATED WITH PRIMARY PCI. Journal of the American College of Cardiology. 61(10). E113–E113. 3 indexed citations
11.
Maan, Arie C., Stafford G. Warren, Michael Ringborn, et al.. (2013). Difference vectors to describe dynamics of the ST segment and the ventricular gradient in acute ischemia. Journal of Electrocardiology. 46(4). 302–311. 27 indexed citations
12.
Romero, Daniel, Michael Ringborn, Pablo Laguna, & Esther Pueyo. (2013). Detection and quantification of acute myocardial ischemia by morphologic evaluation of QRS changes by an angle-based method. Journal of Electrocardiology. 46(3). 204–214. 24 indexed citations
13.
Romero, Daniel, Michael Ringborn, Marina M. Demidova, et al.. (2012). Characterization of ventricular depolarization and repolarization changes in a porcine model of myocardial infarction. Physiological Measurement. 33(12). 1975–1991. 3 indexed citations
14.
Ringborn, Michael, Daniel Romero, Esther Pueyo, et al.. (2011). Evaluation of depolarization changes during acute myocardial ischemia by analysis of QRS slopes. Journal of Electrocardiology. 44(4). 416–424. 18 indexed citations
15.
Romero, Daniel, Michael Ringborn, Pablo Laguna, Olle Pahlm, & Esther Pueyo. (2010). A vectorial approach for evaluation of depolarization changes during acute myocardial ischemia. Computing in Cardiology. 265–268. 3 indexed citations
16.
Ringborn, Michael, Jonas Pettersson, Eva Persson, et al.. (2010). Comparison of high-frequency QRS components and ST-segment elevation to detect and quantify acute myocardial ischemia. Journal of Electrocardiology. 43(2). 113–120. 29 indexed citations
17.
Romero, Daniel, Michael Ringborn, Pablo Laguna, Olle Pahlm, & Esther Pueyo. (2010). Depolarization Changes During Acute Myocardial Ischemia by Evaluation of QRS Slopes: Standard Lead and Vectorial Approach. IEEE Transactions on Biomedical Engineering. 58(1). 110–120. 35 indexed citations
18.
Persson, Eva, Jonas Pettersson, Michael Ringborn, et al.. (2005). Comparison of ST-Segment Deviation to Scintigraphically Quantified Myocardial Ischemia During Acute Coronary Occlusion Induced by Percutaneous Transluminal Coronary Angioplasty. The American Journal of Cardiology. 97(3). 295–300. 19 indexed citations
19.
Ringborn, Michael, Olle Pahlm, Galen S. Wagner, Stafford G. Warren, & Jonas Pettersson. (2001). The absence of high-frequency QRS changes in the presence of standard electrocardiographic QRS changes of old myocardial infarction. American Heart Journal. 141(4). 573–579. 25 indexed citations
20.
Pettersson, Jonas, Olle Pahlm, Lars Edenbrandt, et al.. (2000). Changes in high-frequency QRS components are more sensitive than ST-segment deviation for detecting acute coronary artery occlusion. Journal of the American College of Cardiology. 36(6). 1827–1834. 100 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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