Annika Winbo

1.2k total citations
31 papers, 495 citations indexed

About

Annika Winbo is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Annika Winbo has authored 31 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 24 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Annika Winbo's work include Cardiac electrophysiology and arrhythmias (28 papers), Ion channel regulation and function (17 papers) and Cardiac Arrhythmias and Treatments (7 papers). Annika Winbo is often cited by papers focused on Cardiac electrophysiology and arrhythmias (28 papers), Ion channel regulation and function (17 papers) and Cardiac Arrhythmias and Treatments (7 papers). Annika Winbo collaborates with scholars based in Sweden, New Zealand and United States. Annika Winbo's co-authors include Annika Rydberg, Jonathan R. Skinner, Eva‐Lena Stattin, Steen M. Jensen, Arthur A.M. Wilde, Dominic J. Abrams, Jitendra K. Vohra, Johan Persson, David J. Paterson and Johanna M. Montgomery and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and The Journal of Physiology.

In The Last Decade

Annika Winbo

31 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annika Winbo Sweden 14 398 278 61 33 22 31 495
Jon Arne Kro Birkeland Norway 10 223 0.6× 209 0.8× 69 1.1× 11 0.3× 9 0.4× 18 334
Maria Ström United States 10 687 1.7× 218 0.8× 33 0.5× 39 1.2× 21 1.0× 12 761
Yuka Mizusawa Japan 16 823 2.1× 471 1.7× 68 1.1× 26 0.8× 15 0.7× 31 894
Yuta Yamamoto Japan 12 211 0.5× 306 1.1× 138 2.3× 18 0.5× 19 0.9× 33 411
Joel Temple United States 9 381 1.0× 297 1.1× 62 1.0× 18 0.5× 4 0.2× 19 495
J SMITS Netherlands 9 1.1k 2.8× 880 3.2× 113 1.9× 28 0.8× 21 1.0× 14 1.2k
Kerry Davia United Kingdom 9 395 1.0× 307 1.1× 95 1.6× 44 1.3× 27 1.2× 13 479
J. Patrick Gonzalez United States 9 112 0.3× 262 0.9× 40 0.7× 27 0.8× 17 0.8× 15 309
Xiaoliang Qiu United States 10 90 0.2× 146 0.5× 35 0.6× 30 0.9× 10 0.5× 13 338
John Gomes United Kingdom 7 200 0.5× 117 0.4× 44 0.7× 26 0.8× 10 0.5× 10 335

Countries citing papers authored by Annika Winbo

Since Specialization
Citations

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

Fields of papers citing papers by Annika Winbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annika Winbo

This figure shows the co-authorship network connecting the top 25 collaborators of Annika Winbo. A scholar is included among the top collaborators of Annika Winbo 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 Annika Winbo. Annika Winbo 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.
Winbo, Annika, et al.. (2024). Modelling neurocardiac physiology and diseases using human pluripotent stem cells: current progress and future prospects. The Journal of Physiology. 603(7). 1865–1885. 1 indexed citations
2.
Habecker, Beth A., Donald M. Bers, Susan J. Birren, et al.. (2024). Molecular and cellular neurocardiology in heart disease. The Journal of Physiology. 603(7). 1689–1728. 13 indexed citations
3.
Taberner, Andrew J., et al.. (2024). Dynamic composite hydrogels of gelatin methacryloyl (GelMA) with supramolecular fibers for tissue engineering applications. Biomaterials Advances. 163. 213957–213957. 5 indexed citations
4.
Earle, Nikki, Annika Winbo, Jackie Crawford, et al.. (2024). Genetic Testing Yield and Clinical Characteristics of Hypertrophic Cardiomyopathy in Understudied Ethnic Groups: Insights From a New Zealand National Registry. Circulation Heart Failure. 17(3). e010970–e010970. 2 indexed citations
5.
Kaizer, Alexander, Annika Winbo, Sally‐Ann B. Clur, et al.. (2023). Effects of cohort, genotype, variant, and maternal β-blocker treatment on foetal heart rate predictors of inherited long QT syndrome. EP Europace. 25(11). 5 indexed citations
6.
Winbo, Annika, Nikki Earle, Martin K. Stiles, et al.. (2020). A Population-Based Registry of Patients With Inherited Cardiac Conditions and Resuscitated Cardiac Arrest. Journal of the American College of Cardiology. 75(21). 2698–2707. 16 indexed citations
7.
Winbo, Annika, et al.. (2020). Functional coculture of sympathetic neurons and cardiomyocytes derived from human-induced pluripotent stem cells. American Journal of Physiology-Heart and Circulatory Physiology. 319(5). H927–H937. 30 indexed citations
8.
Winbo, Annika, Nikki Earle, Jackie Crawford, et al.. (2020). Genetic testing in Polynesian long QT syndrome probands reveals a lower diagnostic yield and an increased prevalence of rare variants. Heart Rhythm. 17(8). 1304–1311. 6 indexed citations
9.
Winbo, Annika & David J. Paterson. (2019). The Brain-Heart Connection in Sympathetically Triggered Inherited Arrhythmia Syndromes. Heart Lung and Circulation. 29(4). 529–537. 18 indexed citations
10.
Cuneo, Bettina F., Alexander Kaizer, S. A. Clur, et al.. (2019). Mothers with long QT syndrome are at increased risk for fetal death: findings from a multicenter international study. American Journal of Obstetrics and Gynecology. 222(3). 263.e1–263.e11. 30 indexed citations
11.
Skinner, Jonathan R., Annika Winbo, Dominic J. Abrams, Jitendra K. Vohra, & Arthur A.M. Wilde. (2018). Channelopathies That Lead to Sudden Cardiac Death: Clinical and Genetic Aspects. Heart Lung and Circulation. 28(1). 22–30. 101 indexed citations
12.
Winbo, Annika & Annika Rydberg. (2018). Fetal heart rate reflects mutation burden and clinical outcome in twin probands with KCNQ1 mutations. HeartRhythm Case Reports. 4(6). 237–240. 4 indexed citations
13.
Mann, Stefan A., Mohammad Imtiaz, Annika Winbo, et al.. (2016). Convergence of models of human ventricular myocyte electrophysiology after global optimization to recapitulate clinical long QT phenotypes. Journal of Molecular and Cellular Cardiology. 100. 25–34. 38 indexed citations
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16.
Stattin, Eva‐Lena, Annika Winbo, Kristina Cederquist, et al.. (2012). Founder mutations characterise the mutation panorama in 200 Swedish index cases referred for Long QT syndrome genetic testing. BMC Cardiovascular Disorders. 12(1). 95–95. 22 indexed citations
17.
Winbo, Annika, Olof Sandström, Richard Palmqvist, & Annika Rydberg. (2012). Iron-deficiency anaemia, gastric hyperplasia, and elevated gastrin levels due to potassium channel dysfunction in the Jervell and Lange-Nielsen Syndrome. Cardiology in the Young. 23(3). 325–334. 22 indexed citations
18.
Jensen, Steen M., et al.. (2012). Vectorcardiographic Recordings of the Q-T Interval in a Pediatric Long Q-T Syndrome Population. Pediatric Cardiology. 34(2). 245–249. 7 indexed citations
19.
Winbo, Annika, et al.. (2010). Origin of the Swedish long QT syndrome Y111C/KCNQ1 founder mutation. Heart Rhythm. 8(4). 541–547. 21 indexed citations
20.
Winbo, Annika, et al.. (2009). Two automatic QT algorithms compared with manual measurement in identification of long QT syndrome. Journal of Electrocardiology. 43(1). 25–30. 20 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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