Javad Jabbari

1.3k total citations
19 papers, 856 citations indexed

About

Javad Jabbari is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Javad Jabbari has authored 19 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 10 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Javad Jabbari's work include Cardiac electrophysiology and arrhythmias (13 papers), Atrial Fibrillation Management and Outcomes (8 papers) and Ion channel regulation and function (5 papers). Javad Jabbari is often cited by papers focused on Cardiac electrophysiology and arrhythmias (13 papers), Atrial Fibrillation Management and Outcomes (8 papers) and Ion channel regulation and function (5 papers). Javad Jabbari collaborates with scholars based in Denmark, United States and Norway. Javad Jabbari's co-authors include Stig Haunsø, Jesper Hastrup Svendsen, Morten S. Olesen, Jonas B. Nielsen, Jacob Tfelt‐Hansen, Reza Jabbari, Thomas Jespersen, Bjarke Risgaard, Charlotte Glinge and Anders G. Holst and has published in prestigious journals such as PLoS ONE, European Heart Journal and Journal of the American Heart Association.

In The Last Decade

Javad Jabbari

19 papers receiving 840 citations

Peers

Javad Jabbari
Houria Daimi Tunisia
Suet Nee Chen United States
Emeline Goretti Luxembourg
Javad Jabbari
Citations per year, relative to Javad Jabbari Javad Jabbari (= 1×) peers Yi-Han Chen

Countries citing papers authored by Javad Jabbari

Since Specialization
Citations

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

Fields of papers citing papers by Javad Jabbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javad Jabbari

This figure shows the co-authorship network connecting the top 25 collaborators of Javad Jabbari. A scholar is included among the top collaborators of Javad Jabbari 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 Javad Jabbari. Javad Jabbari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Jabbari, Javad, Reza Jabbari, Charlotte Glinge, et al.. (2018). Exome data clouds the pathogenicity of genetic variants in Pulmonary Arterial Hypertension. Molecular Genetics & Genomic Medicine. 6(5). 835–844. 3 indexed citations
2.
Glinge, Charlotte, Sebastian Clauß, Kim Boddum, et al.. (2017). Stability of Circulating Blood-Based MicroRNAs – Pre-Analytic Methodological Considerations. PLoS ONE. 12(2). e0167969–e0167969. 280 indexed citations
3.
Jabbari, Reza, Charlotte Glinge, Javad Jabbari, et al.. (2017). A Common Variant in SCN5A and the Risk of Ventricular Fibrillation Caused by First ST-Segment Elevation Myocardial Infarction. PLoS ONE. 12(1). e0170193–e0170193. 17 indexed citations
4.
Ahlberg, Gustav, Javad Jabbari, K. Henningsen, et al.. (2017). Deep sequencing of atrial fibrillation patients with mitral valve regurgitation shows no evidence of mosaicism but reveals novel rare germline variants. Heart Rhythm. 14(10). 1531–1538. 12 indexed citations
5.
Jabbari, Reza, Javad Jabbari, Charlotte Glinge, et al.. (2017). Association of common genetic variants related to atrial fibrillation and the risk of ventricular fibrillation in the setting of first ST-elevation myocardial infarction. BMC Medical Genetics. 18(1). 138–138. 2 indexed citations
6.
Jabbari, Reza, Thomas Engstrøm, Charlotte Glinge, et al.. (2015). Incidence and Risk Factors of Ventricular Fibrillation Before Primary Angioplasty in Patients With First ST‐Elevation Myocardial Infarction: A Nationwide Study in Denmark. Journal of the American Heart Association. 4(1). e001399–e001399. 85 indexed citations
7.
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
8.
Jabbari, Javad, Reza Jabbari, Renqiang Yang, et al.. (2015). The pathogenicity of genetic variants previously associated with left ventricular non‐compaction. Molecular Genetics & Genomic Medicine. 4(2). 135–142. 5 indexed citations
9.
Yang, Renqiang, Javad Jabbari, Xiaoshu Cheng, et al.. (2014). New population-based exome data question the pathogenicity of some genetic variants previously associated with Marfan syndrome. BMC Genetics. 15(1). 74–74. 12 indexed citations
10.
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
11.
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
12.
Jabbari, Javad, Reza Jabbari, Anders G. Holst, et al.. (2013). New exome data question the pathogenicity of genetic variants previously associated with catecholaminergic polymorphic ventricular tachycardia. European Heart Journal. 34(suppl 1). P2292–P2292. 4 indexed citations
13.
Olesen, Morten S., Laura Andreasen, Javad Jabbari, et al.. (2013). Very early-onset lone atrial fibrillation patients have a high prevalence of rare variants in genes previously associated with atrial fibrillation. Heart Rhythm. 11(2). 246–251. 45 indexed citations
14.
Jabbari, Javad, Reza Jabbari, Anders G. Holst, et al.. (2013). New Exome Data Question the Pathogenicity of Genetic Variants Previously Associated With Catecholaminergic Polymorphic Ventricular Tachycardia. Circulation Cardiovascular Genetics. 6(5). 481–489. 59 indexed citations
15.
Olesen, Morten S., Bo Hjorth Bentzen, Jonas B. Nielsen, et al.. (2012). Mutations in the potassium channel subunit KCNE1 are associated with early-onset familial atrial fibrillation. BMC Medical Genetics. 13(1). 24–24. 76 indexed citations
16.
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
17.
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
18.
Jabbari, Javad, Morten S. Olesen, Anders G. Holst, et al.. (2011). Common Polymorphisms in <i>KNCJ5</i> Are Associated with Early-Onset Lone Atrial Fibrillation in Caucasians. Cardiology. 118(2). 116–120. 21 indexed citations
19.
Olesen, Morten S., Javad Jabbari, Anders G. Holst, et al.. (2011). Screening of KCNN3 in patients with early-onset lone atrial fibrillation. EP Europace. 13(7). 963–967. 43 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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