Joshua A. Keefe

1.3k total citations
20 papers, 434 citations indexed

About

Joshua A. Keefe is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Joshua A. Keefe has authored 20 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 7 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Joshua A. Keefe's work include Atrial Fibrillation Management and Outcomes (8 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Cardiac Fibrosis and Remodeling (3 papers). Joshua A. Keefe is often cited by papers focused on Atrial Fibrillation Management and Outcomes (8 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Cardiac Fibrosis and Remodeling (3 papers). Joshua A. Keefe collaborates with scholars based in United States, United Kingdom and Germany. Joshua A. Keefe's co-authors include Xander H.T. Wehrens, Daniel Levy, Gerard C. L. Wong, Kun Zhao, Chen Yao, Ramin Golestanian, Calvin K. Lee, Jie Ma, Yun Luo and Rachel R. Bennett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Joshua A. Keefe

20 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua A. Keefe United States 9 270 103 84 47 27 20 434
Anni Kauko Finland 12 289 1.1× 88 0.9× 57 0.7× 13 0.3× 25 0.9× 24 472
Summer G. Goodson United States 7 152 0.6× 68 0.7× 46 0.5× 36 0.8× 11 0.4× 9 530
Brendan J. Houston Australia 15 227 0.8× 220 2.1× 27 0.3× 34 0.7× 8 0.3× 35 708
Federica Amodio Italy 10 285 1.1× 103 1.0× 81 1.0× 40 0.9× 42 1.6× 16 483
Andrey K. Larin Russia 16 284 1.1× 327 3.2× 160 1.9× 84 1.8× 9 0.3× 52 688
Junzhao Zhao China 18 464 1.7× 106 1.0× 34 0.4× 10 0.2× 21 0.8× 89 865
Tara R. Richman Australia 15 780 2.9× 78 0.8× 55 0.7× 124 2.6× 47 1.7× 22 984
Jiayong Zhong China 14 448 1.7× 66 0.6× 19 0.2× 27 0.6× 28 1.0× 25 597
Asmita Kulkarni India 11 212 0.8× 49 0.5× 19 0.2× 51 1.1× 50 1.9× 14 760
Lise Lamoureux Canada 9 162 0.6× 31 0.3× 56 0.7× 40 0.9× 17 0.6× 20 356

Countries citing papers authored by Joshua A. Keefe

Since Specialization
Citations

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

Fields of papers citing papers by Joshua A. Keefe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua A. Keefe. 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 Joshua A. Keefe. The network helps show where Joshua A. Keefe may publish in the future.

Co-authorship network of co-authors of Joshua A. Keefe

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua A. Keefe. A scholar is included among the top collaborators of Joshua A. Keefe 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 Joshua A. Keefe. Joshua A. Keefe 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.
Keefe, Joshua A., José Alberto Navarro‐García, Irene M. Ong, et al.. (2025). Macrophage-mediated IL-6 signaling drives ryanodine receptor–2 calcium leak in postoperative atrial fibrillation. Journal of Clinical Investigation. 135(9). 1 indexed citations
2.
Keefe, Joshua A., Jian Wang, Jiangping Song, Li Ni, & Xander H.T. Wehrens. (2025). Immune cells and arrhythmias. Cardiovascular Research. 121(3). 382–395. 3 indexed citations
3.
Navarro‐García, José Alberto, et al.. (2025). Mechanisms underlying atrial fibrillation in chronic kidney disease. Journal of Molecular and Cellular Cardiology. 205. 37–51. 2 indexed citations
4.
Keefe, Joshua A., et al.. (2024). Tachycardia and Atrial Fibrillation-Related Cardiomyopathies. JACC Heart Failure. 12(4). 605–615. 5 indexed citations
5.
Lahiri, Satadru K., Mohit Hulsurkar, José Alberto Navarro‐García, et al.. (2024). Long-term efficacy and safety of cardiac genome editing for catecholaminergic polymorphic ventricular tachycardia. PubMed. 4(1). 3 indexed citations
6.
Keefe, Joshua A., José Alberto Navarro‐García, Issam Abu-Taha, et al.. (2024). Abstract Or102: Macrophage-Mediated Interleukin-6 Signaling Drives Ryanodine Receptor-2 Calcium Leak in Postoperative Atrial Fibrillation. Circulation Research. 135(Suppl_1). AOr102–AOr102. 1 indexed citations
7.
Wehrens, Xander H.T., Joshua A. Keefe, Irene M. Ong, et al.. (2024). Macrophage-mediated interleukin-6 signaling drives ryanodine receptor-2 calcium leak in postoperative atrial fibrillation. European Heart Journal. 45(Supplement_1). 1 indexed citations
8.
Song, Jia, José Alberto Navarro‐García, Jiao Wu, et al.. (2023). Chronic kidney disease promotes atrial fibrillation via inflammasome pathway activation. Journal of Clinical Investigation. 133(19). 38 indexed citations
9.
10.
Keefe, Joshua A., Mohit Hulsurkar, Svetlana Reilly, & Xander H.T. Wehrens. (2022). Mouse models of spontaneous atrial fibrillation. Mammalian Genome. 34(2). 298–311. 6 indexed citations
11.
Keefe, Joshua A., et al.. (2022). Cardiac function, structural, and electrical remodeling by microgravity exposure. American Journal of Physiology-Heart and Circulatory Physiology. 324(1). H1–H13. 13 indexed citations
12.
Keefe, Joshua A., Vasanthi Avadhanula, Sridevi Devaraj, et al.. (2022). Abnormalities in cardiac and inflammatory biomarkers in ambulatory subjects after COVID-19 infection. IJC Heart & Vasculature. 43. 101144–101144. 2 indexed citations
13.
Keefe, Joshua A., José Alberto Navarro‐García, Li Ni, et al.. (2022). In-depth characterization of a mouse model of postoperative atrial fibrillation. PubMed. 2(4). 40–40. 7 indexed citations
14.
Keefe, Joshua A., Chen Yao, Shih‐Jen Hwang, et al.. (2021). An Integrative Genomic Strategy Identifies sRAGE as a Causal and Protective Biomarker of Lung Function. CHEST Journal. 161(1). 76–84. 10 indexed citations
15.
Yao, Chen, Arunoday Bhan, Thorsten M. Schlaeger, et al.. (2020). Integrative Genomic Analysis Reveals Four Protein Biomarkers for Platelet Traits. Circulation Research. 127(9). 1182–1194. 6 indexed citations
16.
Huan, Tianxiao, Roby Joehanes, Ci Song, et al.. (2019). Genome-wide identification of DNA methylation QTLs in whole blood highlights pathways for cardiovascular disease. Nature Communications. 10(1). 4267–4267. 112 indexed citations
17.
Yin, Xiaoyan, Christine Willinger, Joshua A. Keefe, et al.. (2019). Lipidomic profiling identifies signatures of metabolic risk. EBioMedicine. 51. 102520–102520. 63 indexed citations
18.
Keefe, Joshua A., Shih‐Jen Hwang, Tianxiao Huan, et al.. (2019). Evidence for a Causal Role of the SH2B3 -β 2 M Axis in Blood Pressure Regulation. Hypertension. 73(2). 497–503. 12 indexed citations
19.
Huan, Tianxiao, Michael Mendelson, Roby Joehanes, et al.. (2019). Epigenome-wide association study of DNA methylation and microRNA expression highlights novel pathways for human complex traits. Epigenetics. 15(1-2). 183–198. 16 indexed citations
20.
Lee, Calvin K., Jaime de Anda, Amy E. Baker, et al.. (2018). Multigenerational memory and adaptive adhesion in early bacterial biofilm communities. Proceedings of the National Academy of Sciences. 115(17). 4471–4476. 118 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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