Jonas Carlson

2.8k total citations
98 papers, 2.1k citations indexed

About

Jonas Carlson is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Jonas Carlson has authored 98 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Cardiology and Cardiovascular Medicine, 6 papers in Biomedical Engineering and 5 papers in Molecular Biology. Recurrent topics in Jonas Carlson's work include Cardiac electrophysiology and arrhythmias (62 papers), Cardiac Arrhythmias and Treatments (56 papers) and Atrial Fibrillation Management and Outcomes (40 papers). Jonas Carlson is often cited by papers focused on Cardiac electrophysiology and arrhythmias (62 papers), Cardiac Arrhythmias and Treatments (56 papers) and Atrial Fibrillation Management and Outcomes (40 papers). Jonas Carlson collaborates with scholars based in Sweden, United States and Denmark. Jonas Carlson's co-authors include Pyotr G. Platonov, Fredrik Holmqvist, Sten Eriksson, Rasmus Havmöller, S. Bertil Olsson, Rolf Johansson, Johan Stenflo, A. Pavlova, Shannon B. Olsson and Erik Berntorp and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Blood.

In The Last Decade

Jonas Carlson

97 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Carlson Sweden 26 1.4k 219 194 131 125 98 2.1k
Keiko Maeda Japan 19 748 0.5× 252 1.2× 62 0.3× 103 0.8× 145 1.2× 40 1.6k
Masatoshi Kawana Japan 25 1.2k 0.9× 482 2.2× 65 0.3× 231 1.8× 181 1.4× 81 2.4k
Joanna Natorska Poland 23 692 0.5× 165 0.8× 203 1.0× 70 0.5× 260 2.1× 122 1.4k
Ralf Kaiser Germany 15 887 0.6× 303 1.4× 31 0.2× 158 1.2× 106 0.8× 34 1.6k
Klaus Distelmaier Austria 19 417 0.3× 264 1.2× 59 0.3× 61 0.5× 176 1.4× 57 1.4k
Alexander H. Maass Netherlands 25 1.7k 1.2× 440 2.0× 33 0.2× 112 0.9× 236 1.9× 110 2.2k
Esther Zorio Spain 21 722 0.5× 345 1.6× 188 1.0× 36 0.3× 117 0.9× 87 1.4k
Shigeki Kimura Japan 20 655 0.5× 263 1.2× 36 0.2× 209 1.6× 50 0.4× 102 1.3k
Mark P.V. Begieneman Netherlands 14 762 0.5× 306 1.4× 21 0.1× 160 1.2× 127 1.0× 25 1.4k
Konstantin Stark Germany 20 310 0.2× 550 2.5× 281 1.4× 132 1.0× 390 3.1× 51 2.1k

Countries citing papers authored by Jonas Carlson

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Carlson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Carlson

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Carlson. A scholar is included among the top collaborators of Jonas Carlson 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 Jonas Carlson. Jonas Carlson 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
4.
Platonov, Pyotr G., Kristina H. Haugaa, Henning Bundgaard, et al.. (2019). Primary Prevention of Sudden Cardiac Death With Implantable Cardioverter-Defibrillator Therapy in Patients With Arrhythmogenic Right Ventricular Cardiomyopathy. The American Journal of Cardiology. 123(7). 1156–1162. 7 indexed citations
5.
Lindgren, Arne, et al.. (2019). Interatrial block in prediction of all-cause mortality after first-ever ischemic stroke. BMC Cardiovascular Disorders. 19(1). 37–37. 12 indexed citations
6.
Cortez, Daniel, Anneli Svensson, Jonas Carlson, et al.. (2018). The S-wave angle identifies arrhythmogenic right ventricular cardiomyopathy in patients with electrocardiographically concealed disease phenotype. Journal of Electrocardiology. 51(6). 1003–1008. 1 indexed citations
8.
Härdig, Bjarne Madsen, et al.. (2017). Abstract 18119: Mechanical Active Compression-Decompression With LUCAS2AD Provide Equivocal pEtCO2 Values to the Standard LUCAS2 During Out-of-Hospital Cardiopulmonary Resuscitation. Circulation. 1 indexed citations
9.
Cortez, Daniel, Arne Lindgren, Jonas Carlson, et al.. (2017). Atrial time and voltage dispersion are both needed to predict new-onset atrial fibrillation in ischemic stroke patients. BMC Cardiovascular Disorders. 17(1). 200–200. 13 indexed citations
10.
Fernlund, Eva, et al.. (2016). MYBPC3 hypertrophic cardiomyopathy can be detected by using advanced ECG in children and young adults. Journal of Electrocardiology. 49(3). 392–400. 4 indexed citations
11.
Valdes, Ana M., et al.. (2012). Use of class I and class II HLA loci for predicting age at onset of type 1 diabetes in multiple populations. Diabetologia. 55(9). 2394–2401. 31 indexed citations
12.
Huo, Yan, Fredrik Holmqvist, Jonas Carlson, et al.. (2012). Effects of baseline P-wave duration and choice of atrial septal pacing site on shortening atrial activation time during pacing. EP Europace. 14(9). 1294–1301. 2 indexed citations
13.
Harlid, Sophia, Ewa Grzybowska, Jórunn E. Eyfjörd, et al.. (2011). Combined effect of low-penetrant SNPs on breast cancer risk. British Journal of Cancer. 106(2). 389–396. 34 indexed citations
14.
Holmqvist, Fredrik, Pyotr G. Platonov, Scott McNitt, et al.. (2010). Abnormal P‐Wave Morphology Is a Predictor of Atrial Fibrillation Development and Cardiac Death in MADIT II Patients. Annals of Noninvasive Electrocardiology. 15(1). 63–72. 38 indexed citations
15.
Matsuo, Seiichiro, Nicolas Lellouche, Matthew Wright, et al.. (2009). Clinical Predictors of Termination and Clinical Outcome of Catheter Ablation for Persistent Atrial Fibrillation. Journal of the American College of Cardiology. 54(9). 788–795. 150 indexed citations
16.
Carlson, Jonas, et al.. (2009). The liver in 30-year-old individuals with alpha1-antitrypsin deficiency. Scandinavian Journal of Gastroenterology. 44(11). 1349–1355. 23 indexed citations
17.
Härdig, Bjarne Madsen, Jonas Carlson, & Anders Roijer. (2008). Changes in clot lysis levels of reteplase and streptokinase following continuous wave ultrasound exposure, at ultrasound intensities following attenuation from the skull bone. BMC Cardiovascular Disorders. 8(1). 19–19. 7 indexed citations
18.
Holmqvist, Fredrik, Pyotr G. Platonov, Rasmus Havmöller, & Jonas Carlson. (2007). Signal-averaged P wave analysis for delineation of interatrial conduction – Further validation of the method. BMC Cardiovascular Disorders. 7(1). 29–29. 36 indexed citations
19.
Holmqvist, Fredrik, Daniela Husser, Jari Tapanainen, et al.. (2007). Interatrial conduction can be accurately determined using standard 12-lead electrocardiography: Validation of P-wave morphology using electroanatomic mapping in man. Heart Rhythm. 5(3). 413–418. 64 indexed citations
20.
Johansson, Bengt, Johan Malm, Terese Persson, et al.. (2001). Alpha‐1‐antitrypsin is present in the specific granules of human eosinophilic granulocytes. Clinical & Experimental Allergy. 31(3). 379–386. 10 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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