Sara Svedlund

2.2k total citations · 1 hit paper
46 papers, 1.5k citations indexed

About

Sara Svedlund is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Sara Svedlund has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cardiology and Cardiovascular Medicine, 18 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Surgery. Recurrent topics in Sara Svedlund's work include Cardiovascular Function and Risk Factors (22 papers), Cardiac Imaging and Diagnostics (18 papers) and Cardiovascular Health and Disease Prevention (11 papers). Sara Svedlund is often cited by papers focused on Cardiovascular Function and Risk Factors (22 papers), Cardiac Imaging and Diagnostics (18 papers) and Cardiovascular Health and Disease Prevention (11 papers). Sara Svedlund collaborates with scholars based in Sweden, Finland and United States. Sara Svedlund's co-authors include Antti Saraste, Maria Lagerström‐Fermér, Li‐Ming Gan, Lars H. Lund, Camilla Hage, Sanjiv J. Shah, Carolyn S.P. Lam, Lauren Beussink‐Nelson, Ru‐San Tan and Ulrika Ljung Faxén and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sara Svedlund

46 papers receiving 1.5k citations

Hit Papers

Prevalence and correlates of coronary microvascular dysfu... 2018 2026 2020 2023 2018 100 200 300 400

Peers

Sara Svedlund
Sara Svedlund
Citations per year, relative to Sara Svedlund Sara Svedlund (= 1×) peers Aleksandras Laucevičius

Countries citing papers authored by Sara Svedlund

Since Specialization
Citations

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

Fields of papers citing papers by Sara Svedlund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Svedlund

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Svedlund. A scholar is included among the top collaborators of Sara Svedlund 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 Sara Svedlund. Sara Svedlund 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.
Myhre, Peder L., Chien‐Yuan Hung, Matthew Frost, et al.. (2023). External validation of a deep learning algorithm for automated echocardiographic strain measurements. European Heart Journal - Cardiovascular Imaging. 24(Supplement_1). 2 indexed citations
2.
Lam, Carolyn S.P., Lars H. Lund, Sanjiv J. Shah, et al.. (2023). Myeloperoxidase Inhibition in Heart Failure With Preserved or Mildly Reduced Ejection Fraction: SATELLITE Trial Results. Journal of Cardiac Failure. 30(1). 104–110. 38 indexed citations
4.
Rylance, Rebecca, et al.. (2023). Ticagrelor Treatment is Associated With Increased Coronary Flow Reserve in Survivors of Myocardial Infarction. Heart Lung and Circulation. 32(6). 702–708. 1 indexed citations
5.
Faxén, Ulrika Ljung, Ashwin Venkateshvaran, Sara Svedlund, et al.. (2023). Regional Differences and Coronary Microvascular Dysfunction in Heart Failure with Preserved Ejection Fraction. ESC Heart Failure. 10(6). 3729–3734. 7 indexed citations
6.
Prescott, Eva, Oskar Angerås, David Erlinge, et al.. (2022). Safety and efficacy of the 5-lipoxygenase-activating protein inhibitor AZD5718 in patients with recent myocardial infarction: The phase 2a FLAVOUR study. International Journal of Cardiology. 365. 34–40. 8 indexed citations
7.
Chandramouli, Chanchal, Jasper Tromp, Anubha Agarwal, et al.. (2022). Sex differences in proteomic correlates of coronary microvascular dysfunction among patients with heart failure and preserved ejection fraction. European Journal of Heart Failure. 24(4). 681–684. 33 indexed citations
8.
Prescott, Eva, John Pernow, Antti Saraste, et al.. (2020). Design and rationale of FLAVOUR: A phase IIa efficacy study of the 5-lipoxygenase activating protein antagonist AZD5718 in patients with recent myocardial infarction. Contemporary Clinical Trials Communications. 19. 100629–100629. 9 indexed citations
9.
Hage, Camilla, Erik Michaëlsson, Bengt Kull, et al.. (2020). Myeloperoxidase and Related Biomarkers are Suggestive Footprints of Endothelial Microvascular Inflammation in HFpEF Patients. ESC Heart Failure. 7(4). 1534–1546. 42 indexed citations
10.
Haraldsson, Inger, Sara Svedlund, Björn Redfors, et al.. (2019). PROspective evaluation of coronary FLOW reserve and molecular biomarkers in patients with established coronary artery disease the PROFLOW-trial: cross-sectional evaluation of coronary flow reserve. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Haraldsson, Inger, Li-Ming Gan, Sara Svedlund, et al.. (2019). <p>PROspective evaluation of coronary FLOW reserve and molecular biomarkers in patients with established coronary artery disease the PROFLOW-trial: cross-sectional evaluation of coronary flow reserve</p>. Vascular Health and Risk Management. Volume 15. 375–384. 6 indexed citations
12.
Klevstig, Martina, Muhammad Arif, Maria Mannila, et al.. (2019). Cardiac expression of the microsomal triglyceride transport protein protects the heart function during ischemia. Journal of Molecular and Cellular Cardiology. 137. 1–8. 4 indexed citations
13.
Shah, Sanjiv J., Carolyn S.P. Lam, Sara Svedlund, et al.. (2018). Prevalence and correlates of coronary microvascular dysfunction in heart failure with preserved ejection fraction: PROMIS-HFpEF. European Heart Journal. 39(37). 3439–3450. 423 indexed citations breakdown →
14.
Svedlund, Sara, et al.. (2017). OP0258-HPR Intensive physical exercise for elderly persons with rheumatoid arthritis improves physical capacity. Annals of the Rheumatic Diseases. 76. 163–163. 1 indexed citations
15.
Michaëlsson, Erik, et al.. (2017). Determinants of coronary flow reserve in non-diabetic patients with chest pain without myocardial perfusion defects. PLoS ONE. 12(4). e0176511–e0176511. 4 indexed citations
16.
Svedlund, Sara, Juuso Blomster, Karin Wåhlander, et al.. (2016). Insulin resistance, endothelial function, angiogenic factors and clinical outcome in non-diabetic patients with chest pain without myocardial perfusion defects. Cardiovascular Diabetology. 15(1). 36–36. 23 indexed citations
17.
Grönros, Julia, Suvi E. Heinonen, Tasso Miliotis, et al.. (2015). Impaired Coronary and Renal Vascular Function in Spontaneously Type 2 Diabetic Leptin-Deficient Mice. PLoS ONE. 10(6). e0130648–e0130648. 21 indexed citations
18.
Matsuzawa, Yasushi, Sara Svedlund, Tatsuo Aoki, et al.. (2015). Utility of both carotid intima–media thickness and endothelial function for cardiovascular risk stratification in patients with angina-like symptoms. International Journal of Cardiology. 190. 90–98. 4 indexed citations
19.
Svedlund, Sara & Li‐Ming Gan. (2010). Longitudinal wall motion of the common carotid artery can be assessed by velocity vector imaging. Clinical Physiology and Functional Imaging. 31(1). 32–38. 53 indexed citations
20.
Svedlund, Sara, et al.. (2008). Retrograde Blood Flow in the Aortic Arch Determined by Transesophageal Doppler Ultrasound. Cerebrovascular Diseases. 27(1). 22–28. 30 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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