Ingrid E. Christophersen

7.0k total citations
28 papers, 1.1k citations indexed

About

Ingrid E. Christophersen is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Ingrid E. Christophersen has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Ingrid E. Christophersen's work include Atrial Fibrillation Management and Outcomes (19 papers), Cardiac electrophysiology and arrhythmias (17 papers) and Cardiac Arrhythmias and Treatments (14 papers). Ingrid E. Christophersen is often cited by papers focused on Atrial Fibrillation Management and Outcomes (19 papers), Cardiac electrophysiology and arrhythmias (17 papers) and Cardiac Arrhythmias and Treatments (14 papers). Ingrid E. Christophersen collaborates with scholars based in Norway, Denmark and United States. Ingrid E. Christophersen's co-authors include Jesper Hastrup Svendsen, Patrick T. Ellinor, Emelia J. Benjamin, Xiaoyan Yin, Renate B. Schnabel, Faisal Rahman, Darae Ko, Morten S. Olesen, Stig Haunsø and Arnljot Tveit and has published in prestigious journals such as European Heart Journal, American Heart Journal and Heart.

In The Last Decade

Ingrid E. Christophersen

26 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ingrid E. Christophersen Norway 16 919 253 68 48 44 28 1.1k
Lianjun Gao China 13 349 0.4× 54 0.2× 35 0.5× 15 0.3× 33 0.8× 51 463
Satoshi Yanagisawa Japan 14 511 0.6× 64 0.3× 21 0.3× 5 0.1× 29 0.7× 94 651
Jolien Neefs Netherlands 14 521 0.6× 87 0.3× 10 0.1× 13 0.3× 26 0.6× 41 631
Su-Kiat Chua Taiwan 11 339 0.4× 103 0.4× 35 0.5× 3 0.1× 72 1.6× 18 439
Anders Hamsten Sweden 6 196 0.2× 57 0.2× 73 1.1× 152 3.2× 21 0.5× 8 560
Tae Joon South Korea 8 249 0.3× 116 0.5× 30 0.4× 4 0.1× 29 0.7× 25 319
Necati Dağlı Türkiye 10 153 0.2× 65 0.3× 122 1.8× 58 1.2× 21 0.5× 24 426
Mirjam Keßler Germany 14 401 0.4× 123 0.5× 160 2.4× 9 0.2× 38 0.9× 65 561
Matthew Hammond‐Haley United Kingdom 9 227 0.2× 68 0.3× 50 0.7× 5 0.1× 112 2.5× 23 384
Bobak Bahrami Australia 11 476 0.5× 65 0.3× 53 0.8× 3 0.1× 230 5.2× 26 812

Countries citing papers authored by Ingrid E. Christophersen

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid E. Christophersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ingrid E. Christophersen. 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 Ingrid E. Christophersen. The network helps show where Ingrid E. Christophersen may publish in the future.

Co-authorship network of co-authors of Ingrid E. Christophersen

This figure shows the co-authorship network connecting the top 25 collaborators of Ingrid E. Christophersen. A scholar is included among the top collaborators of Ingrid E. Christophersen 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 Ingrid E. Christophersen. Ingrid E. Christophersen 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.
Ariansen, Inger, Marius Myrstad, Lars J. Kjerpeseth, et al.. (2025). Timing of stroke risk reassessment in atrial fibrillation patients with a CHA2DS2-VA score of 0 or 1: the Norwegian AFNOR study. EP Europace. 27(10). 1 indexed citations
2.
Kany, Shinwan, Sean J. Jurgens, Joel Rämö, et al.. (2024). Genetic testing in early-onset atrial fibrillation. European Heart Journal. 45(34). 3111–3123. 8 indexed citations
3.
Nygård, Ståle, et al.. (2024). Sex differences in early-onset atrial fibrillation in Norwegian primary care: a retrospective national database analysis. Open Heart. 11(2). e002695–e002695. 1 indexed citations
4.
5.
Liss, Martin, Gustav Ahlberg, Laura Andreasen, et al.. (2023). Loss of Cardiac Splicing Regulator RBM20 Is Associated With Early-Onset Atrial Fibrillation. JACC Basic to Translational Science. 9(2). 163–180. 7 indexed citations
6.
Kjerpeseth, Lars J., Jannicke Igland, Randi Selmer, et al.. (2020). Prevalence and incidence rates of atrial fibrillation in Norway 2004–2014. Heart. 107(3). 201–207. 36 indexed citations
7.
8.
Siland, Joylene E., et al.. (2019). Atrial Fibrillation Genetics Update: Toward Clinical Implementation. Frontiers in Cardiovascular Medicine. 6. 127–127. 19 indexed citations
9.
Berge, Trygve, Magnus Nakrem Lyngbakken, Håkon Ihle‐Hansen, et al.. (2018). Prevalence of atrial fibrillation and cardiovascular risk factors in a 63–65 years old general population cohort: the Akershus Cardiac Examination (ACE) 1950 Study. BMJ Open. 8(7). e021704–e021704. 26 indexed citations
10.
Christophersen, Ingrid E., Xiaoyan Yin, Martin G. Larson, et al.. (2016). A comparison of the CHARGE–AF and the CHA2DS2-VASc risk scores for prediction of atrial fibrillation in the Framingham Heart Study. American Heart Journal. 178. 45–54. 72 indexed citations
11.
Ko, Darae, Faisal Rahman, Maria Auxiliadora Parreiras Martins, et al.. (2016). Atrial fibrillation in women: treatment. Nature Reviews Cardiology. 14(2). 113–124. 55 indexed citations
12.
Ko, Darae, Faisal Rahman, Renate B. Schnabel, et al.. (2016). Atrial fibrillation in women: epidemiology, pathophysiology, presentation, and prognosis. Nature Reviews Cardiology. 13(6). 321–332. 218 indexed citations
13.
Jabbari, Javad, Morten S. Olesen, Lei Yuan, et al.. (2015). Common and Rare Variants in SCN10A Modulate the Risk of Atrial Fibrillation. Circulation Cardiovascular Genetics. 8(1). 64–73. 40 indexed citations
14.
Christophersen, Ingrid E. & Patrick T. Ellinor. (2015). Genetics of atrial fibrillation: from families to genomes. Journal of Human Genetics. 61(1). 61–70. 65 indexed citations
15.
Jabbari, Javad, Morten S. Olesen, Lei Yuan, et al.. (2014). Common and Rare Variants in SCN10A Modulate the Risk of Atrial Fibrillation. Circulation Cardiovascular Genetics. 8(1). 64–73. 53 indexed citations
16.
Andreasen, Laura, Jonas B. Nielsen, Ingrid E. Christophersen, et al.. (2014). Brugada syndrome risk loci seem protective against atrial fibrillation. European Journal of Human Genetics. 22(12). 1357–1361. 12 indexed citations
17.
Andreasen, Laura, Jonas B. Nielsen, Ingrid E. Christophersen, et al.. (2013). Genetic Modifier of the QTc Interval Associated With Early-Onset Atrial Fibrillation. Canadian Journal of Cardiology. 29(10). 1234–1240. 9 indexed citations
18.
Christophersen, Ingrid E., Morten S. Olesen, Bo Liang, et al.. (2012). Genetic variation in KCNA5: impact on the atrial-specific potassium current IKur in patients with lone atrial fibrillation. European Heart Journal. 34(20). 1517–1525. 118 indexed citations
19.
Olesen, Morten S., Anders G. Holst, Javad Jabbari, et al.. (2012). Genetic Loci on Chromosomes 4q25, 7p31, and 12p12 Are Associated With Onset of Lone Atrial Fibrillation Before the Age of 40 Years. Canadian Journal of Cardiology. 28(2). 191–195. 46 indexed citations
20.
Christophersen, Ingrid E., Javad Jabbari, Stig Haunsø, et al.. (2012). Rare Variants in GJA5 Are Associated With Early-Onset Lone Atrial Fibrillation. Canadian Journal of Cardiology. 29(1). 111–116. 41 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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