Jonas Oldgren
Impact in
- Internal Medicine top 0.01%
- Venous Thromboembolism Diagnosis and Management
- Cardiology and Cardiovascular Medicine top 0.02%
- Atrial Fibrillation Management and Outcomes
- Cardiac Arrhythmias and Treatments
- Antiplatelet Therapy and Cardiovascular Diseases
- Cardiac electrophysiology and arrhythmias
- Acute Myocardial Infarction Research
Papers in
-
- Atrial Fibrillation Management and Outcomes 140
- Antiplatelet Therapy and Cardiovascular Diseases 50
- Cardiac Arrhythmias and Treatments 48
- Acute Myocardial Infarction Research 39
- Cardiac electrophysiology and arrhythmias 16
-
- Venous Thromboembolism Diagnosis and Management 33
- Co-authors
- Lars Wallentin (87 shared papers)Stuart J. Connolly (59 shared papers)Salim Yusuf (57 shared papers)Michael D. Ezekowitz (54 shared papers)Paul Reilly (36 shared papers)John W. Eikelboom (49 shared papers)Marco Alings (11 shared papers)Hans‐Christoph Diener (8 shared papers)
- Journals
- European Heart Journal (25 papers)Circulation (22 papers)Journal of the American College of Cardiology (21 papers)American Heart Journal (20 papers)EP Europace (7 papers)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Jonas Oldgren
193 papers receiving 20.7k citations
Jonas Oldgren's Hit Papers
Peers
Comparison fields: 5 of 140
- Internal Medicine 8.3k
- Cardiology and Cardiovascular Medicine 19.5k
- Epidemiology 2.8k
- Hematology 633
- Toxicology 188
Countries citing papers authored by Jonas Oldgren
This map shows the geographic impact of Jonas Oldgren'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 Oldgren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Oldgren more than expected).
Fields of papers citing papers by Jonas Oldgren
This network shows the impact of papers produced by Jonas Oldgren. 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 Oldgren. The network helps show where Jonas Oldgren may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonas Oldgren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dabigatran versus Warfarin in Patients with Atrial Fibrillation Hit paper breakdown → | 2009 | 7989 |
| 2 | 2016 ESC Guidelines for the Management of Atrial Fibrillation Developed in Collaboration With EACTS Hit paper breakdown → | 2016 | 1454 |
| 3 | Dual Antithrombotic Therapy with Dabigatran after PCI in Atrial Fibrillation Hit paper breakdown → | 2017 | 843 |
| 4 | Risk of Bleeding With 2 Doses of Dabigatran Compared With Warfarin in Older and Younger Patients With Atrial Fibrillation Hit paper breakdown → | 2011 | 822 |
| 5 | Updated European Heart Rhythm Association Practical Guide on the use of non-vitamin K antagonist anticoagulants in patients with non-valvular atrial fibrillation Hit paper breakdown → | 2015 | 745 |
| 6 | Efficacy and safety of dabigatran compared with warfarin at different levels of international normalised ratio control for stroke prevention in atrial fibrillation: an analysis of the RE-LY trial Hit paper breakdown → | 2010 | 728 |
| 7 | European Heart Rhythm Association Practical Guide on the use of new oral anticoagulants in patients with non-valvular atrial fibrillation Hit paper breakdown → | 2013 | 570 |
| 8 | Periprocedural Bleeding and Thromboembolic Events With Dabigatran Compared With Warfarin Hit paper breakdown → | 2012 | 399 |
| 9 | 2011 | 369 | |
| 10 | 2011 | 354 | |
| 11 | 2012 | 344 | |
| 12 | The novel biomarker-based ABC (age, biomarkers, clinical history)-bleeding risk score for patients with atrial fibrillation: a derivation and validation study Hit paper breakdown → | 2016 | 330 |
| 13 | 2012 | 304 | |
| 14 | 2013 | 299 | |
| 15 | The ABC (age, biomarkers, clinical history) stroke risk score: a biomarker-based risk score for predicting stroke in atrial fibrillation Hit paper breakdown → | 2016 | 284 |
| 16 | 2013 | 273 | |
| 17 | 2012 | 256 | |
| 18 | 2016 | 255 | |
| 19 | 2009 | 245 | |
| 20 | 2013 | 215 |
About Jonas Oldgren
Jonas Oldgren is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Surgery, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 196 papers that have together received 21.5k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (140 papers), Antiplatelet Therapy and Cardiovascular Diseases (50 papers), Cardiac Arrhythmias and Treatments (48 papers), Acute Myocardial Infarction Research (39 papers), Venous Thromboembolism Diagnosis and Management (33 papers), Cardiac Imaging and Diagnostics (18 papers), Cardiac electrophysiology and arrhythmias (16 papers) and Acute Ischemic Stroke Management (13 papers). The work is most often cited by research in Internal Medicine (8.3k citations), Cardiology and Cardiovascular Medicine (19.5k citations), Epidemiology (2.8k citations), Hematology (633 citations) and Toxicology (188 citations). Jonas Oldgren has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Lars Wallentin, Stuart J. Connolly, Salim Yusuf, Michael D. Ezekowitz, Paul Reilly, John W. Eikelboom, Marco Alings, Hans‐Christoph Diener, Jeanne Varrone and Janice Pogue. Their work appears in journals such as European Heart Journal, Circulation, Journal of the American College of Cardiology, American Heart Journal and EP Europace.
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.