Jasmeet S. Reyat

1.0k total citations
17 papers, 443 citations indexed

About

Jasmeet S. Reyat is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Jasmeet S. Reyat has authored 17 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Jasmeet S. Reyat's work include Platelet Disorders and Treatments (4 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Jasmeet S. Reyat is often cited by papers focused on Platelet Disorders and Treatments (4 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Jasmeet S. Reyat collaborates with scholars based in United Kingdom, Germany and United States. Jasmeet S. Reyat's co-authors include Michael G. Tomlinson, Peter J. Noy, Alexandra Matthews, Larissa Fabritz, Jing Yang, G. Ed Rainger, Paulus Kirchhof, David A. Rogers, Davor Pavlović and Abdullah O. Khan and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Circulation Research.

In The Last Decade

Jasmeet S. Reyat

17 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jasmeet S. Reyat United Kingdom 12 197 142 95 68 58 17 443
Ingrid Lommerse Netherlands 5 167 0.8× 79 0.6× 93 1.0× 45 0.7× 30 0.5× 6 376
Annekathrin Eckart Germany 5 147 0.7× 45 0.3× 61 0.6× 49 0.7× 18 0.3× 6 478
Woong Hahn South Korea 12 190 1.0× 61 0.4× 27 0.3× 60 0.9× 15 0.3× 13 384
S Chien United States 6 209 1.1× 56 0.4× 113 1.2× 55 0.8× 26 0.4× 9 475
Mari Aikio Finland 10 170 0.9× 32 0.2× 80 0.8× 43 0.6× 15 0.3× 10 360
Daniel O. Kechele United States 13 213 1.1× 41 0.3× 39 0.4× 159 2.3× 93 1.6× 18 487
Aaron Babendreyer Germany 14 190 1.0× 27 0.2× 95 1.0× 131 1.9× 14 0.2× 30 455
Verena Küppers Germany 5 276 1.4× 27 0.2× 125 1.3× 56 0.8× 28 0.5× 6 484
Rashmi Yadav United Kingdom 9 126 0.6× 95 0.7× 91 1.0× 40 0.6× 14 0.2× 18 542

Countries citing papers authored by Jasmeet S. Reyat

Since Specialization
Citations

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

Fields of papers citing papers by Jasmeet S. Reyat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jasmeet S. Reyat. 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 Jasmeet S. Reyat. The network helps show where Jasmeet S. Reyat may publish in the future.

Co-authorship network of co-authors of Jasmeet S. Reyat

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

All Works

17 of 17 papers shown
1.
Olijnik, Aude-Anaïs, Zoë C. Wong, Jasmeet S. Reyat, et al.. (2024). Generating human bone marrow organoids for disease modeling and drug discovery. Nature Protocols. 19(7). 2117–2146. 19 indexed citations
2.
Hall, Caitlin, Jonathan P. Law, Jasmeet S. Reyat, et al.. (2023). Chronic activation of human cardiac fibroblasts in vitro attenuates the reversibility of the myofibroblast phenotype. Scientific Reports. 13(1). 12137–12137. 20 indexed citations
3.
Hooper, Charlotte, Gillian Douglas, Violetta Steeples, et al.. (2023). Insights into the Role of a Cardiomyopathy-Causing Genetic Variant in ACTN2. Cells. 12(5). 721–721. 11 indexed citations
4.
Reyat, Jasmeet S., Alessandro Di Maio, Beata Grygielska, et al.. (2023). Modelling the pathology and treatment of cardiac fibrosis in vascularised atrial and ventricular cardiac microtissues. Frontiers in Cardiovascular Medicine. 10. 1156759–1156759. 4 indexed citations
5.
O’Reilly, Molly, Christopher O’Shea, Jasmeet S. Reyat, et al.. (2022). Familial atrial fibrillation mutation M1875T-SCN5A increases early sodium current and dampens the effect of flecainide. EP Europace. 25(3). 1152–1161. 12 indexed citations
6.
Khan, Abdullah O., Jasmeet S. Reyat, Joshua H. Bourne, et al.. (2022). Preferential uptake of SARS-CoV-2 by pericytes potentiates vascular damage and permeability in an organoid model of the microvasculature. Cardiovascular Research. 118(15). 3085–3096. 20 indexed citations
7.
Holmes, Andrew P., Daniel M. Johnson, Jasmeet S. Reyat, et al.. (2022). Increased atrial effectiveness of flecainide conferred by altered biophysical properties of sodium channels. Journal of Molecular and Cellular Cardiology. 166. 23–35. 13 indexed citations
8.
Holmes, Andrew P., Priyanka Saxena, Christopher O’Shea, et al.. (2021). Atrial resting membrane potential confers sodium current sensitivity to propafenone, flecainide and dronedarone. Heart Rhythm. 18(7). 1212–1220. 12 indexed citations
9.
Reyat, Jasmeet S., Winnie Chua, Victor Roth Cardoso, et al.. (2020). Reduced left atrial cardiomyocyte PITX2 and elevated circulating BMP10 predict atrial fibrillation after ablation. JCI Insight. 5(16). 50 indexed citations
10.
Hall, Amelia Weber, Zachary A. Kadow, Jasmeet S. Reyat, et al.. (2020). Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation. Circulation Research. 127(1). 34–50. 47 indexed citations
11.
Khan, Abdullah O., Alexandre Slater, Phillip L.R. Nicolson, et al.. (2020). Post-translational polymodification of β1-tubulin regulates motor protein localization in platelet production and function. Haematologica. 107(1). 243–259. 15 indexed citations
12.
Khan, Abdullah O., Jeremy A. Pike, Susanne N. Wijesinghe, et al.. (2020). Novel gene variants in patients with platelet‐based bleeding using combined exome sequencing and RNAseq murine expression data. Journal of Thrombosis and Haemostasis. 19(1). 262–268. 3 indexed citations
13.
Khan, Abdullah O., Alexandre Slater, Phillip L.R. Nicolson, et al.. (2019). Post-Translational Polymodification of β1 Tubulin Regulates Motor Protein Localisation in Platelet Production and Function. SSRN Electronic Journal. 2 indexed citations
14.
Reyat, Jasmeet S., Michael G. Tomlinson, & Peter J. Noy. (2017). Utilizing Lentiviral Gene Transfer in Primary Endothelial Cells to Assess Lymphocyte-Endothelial Interactions. Methods in molecular biology. 1591. 155–168. 2 indexed citations
15.
Reyat, Jasmeet S., et al.. (2017). ADAM10-Interacting Tetraspanins Tspan5 and Tspan17 Regulate VE-Cadherin Expression and Promote T Lymphocyte Transmigration. The Journal of Immunology. 199(2). 666–676. 36 indexed citations
16.
Matthews, Alexandra, Peter J. Noy, Jasmeet S. Reyat, & Michael G. Tomlinson. (2016). Regulation of A disintegrin and metalloproteinase (ADAM) family sheddases ADAM10 and ADAM17: The emerging role of tetraspanins and rhomboids. Platelets. 28(4). 333–341. 101 indexed citations
17.
Noy, Peter J., Jing Yang, Jasmeet S. Reyat, et al.. (2015). TspanC8 Tetraspanins and A Disintegrin and Metalloprotease 10 (ADAM10) Interact via Their Extracellular Regions. Journal of Biological Chemistry. 291(7). 3145–3157. 76 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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