Ravi Karra

2.8k total citations
42 papers, 1.8k citations indexed

About

Ravi Karra is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ravi Karra has authored 42 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 15 papers in Pulmonary and Respiratory Medicine and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ravi Karra's work include Congenital heart defects research (20 papers), Congenital Heart Disease Studies (8 papers) and Coronary Artery Anomalies (8 papers). Ravi Karra is often cited by papers focused on Congenital heart defects research (20 papers), Congenital Heart Disease Studies (8 papers) and Coronary Artery Anomalies (8 papers). Ravi Karra collaborates with scholars based in United States, United Kingdom and Germany. Ravi Karra's co-authors include Kenneth D. Poss, Amy L. Dickson, Matthew Gemberling, Kazu Kikuchi, Jinhu Wang, Vikas Gupta, Joseph Goldman, Jennifer E. Holdway, Sean M. Wu and Yi Fang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Ravi Karra

42 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ravi Karra United States 17 1.4k 460 341 311 296 42 1.8k
Ching‐Ling Lien United States 22 1.7k 1.2× 575 1.3× 451 1.3× 333 1.1× 381 1.3× 49 2.2k
Amy L. Dickson United States 15 1.6k 1.1× 356 0.8× 319 0.9× 327 1.1× 324 1.1× 22 1.9k
Juan Manuel González‐Rosa United States 20 1.5k 1.0× 339 0.7× 394 1.2× 376 1.2× 426 1.4× 32 1.7k
Mercé Martí Spain 14 1.7k 1.2× 513 1.1× 257 0.8× 197 0.6× 228 0.8× 25 2.1k
Bingruo Wu United States 22 1.3k 0.9× 247 0.5× 542 1.6× 292 0.9× 349 1.2× 40 1.7k
Robert W. Dettman United States 17 1.3k 0.9× 459 1.0× 445 1.3× 586 1.9× 211 0.7× 34 2.0k
Gonzalo del Monte‐Nieto Australia 13 1.3k 0.9× 236 0.5× 455 1.3× 205 0.7× 274 0.9× 16 1.5k
Kristy Red‐Horse United States 21 1.5k 1.0× 427 0.9× 363 1.1× 296 1.0× 237 0.8× 33 2.1k
Steven W. Kubalak United States 18 1.9k 1.3× 411 0.9× 645 1.9× 200 0.6× 291 1.0× 29 2.2k
Stacey Rentschler United States 22 1.5k 1.1× 323 0.7× 942 2.8× 171 0.5× 206 0.7× 41 2.1k

Countries citing papers authored by Ravi Karra

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Karra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Karra

This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Karra. A scholar is included among the top collaborators of Ravi Karra 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 Ravi Karra. Ravi Karra 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.
Ren, Simiao, Michael C. Thomas, Garth Devlin, et al.. (2024). Deep Learning Resolves Myovascular Dynamics in the Failing Human Heart. JACC Basic to Translational Science. 9(5). 674–686. 1 indexed citations
2.
Gunn, Alexander, Louis R. DiBernardo, Carolyn Glass, et al.. (2024). Light-Chain Pericardial Amyloidosis Emerging Alongside Variant Transthyretin Cardiac Amyloidosis. JACC CardioOncology. 6(4). 612–616. 1 indexed citations
3.
Harrington, Josephine, Andrew B. Nixon, Melissa A. Daubert, et al.. (2023). Circulating Angiokines Are Associated With Reverse Remodeling and Outcomes in Chronic Heart Failure. Journal of Cardiac Failure. 29(6). 896–906. 5 indexed citations
4.
Karra, Ravi, et al.. (2023). LMNA Cardiomyopathy: Important Considerations for the Heart Failure Clinician. Journal of Cardiac Failure. 29(12). 1657–1666. 4 indexed citations
5.
DeVore, Adam D., et al.. (2023). Incidence and Predictors of Relapse After Weaning Immune Suppressive Therapy in Cardiac Sarcoidosis. The American Journal of Cardiology. 204. 249–256. 3 indexed citations
6.
Mandawat, Aditya, et al.. (2022). Recovery of left ventricular function is associated with improved outcomes in LVAD recipients. The Journal of Heart and Lung Transplantation. 41(8). 1055–1062. 11 indexed citations
7.
Karra, Ravi, et al.. (2022). Cardiac Sarcoidosis: Current Approaches to Diagnosis and Management. Current Allergy and Asthma Reports. 22(12). 171–182. 2 indexed citations
8.
Henry, Albert, Michael C. Thomas, Timothy J. McCord, et al.. (2022). Coupled myovascular expansion directs cardiac growth and regeneration. Development. 149(18). 5 indexed citations
9.
Karra, Ravi, et al.. (2021). A Roadmap to Heart Regeneration Through Conserved Mechanisms in Zebrafish and Mammals. Current Cardiology Reports. 23(4). 29–29. 11 indexed citations
10.
Collins, Leslie M., et al.. (2021). Heart Sound Analysis in Individuals Supported With Left Ventricular Assist Devices. IEEE Transactions on Biomedical Engineering. 68(10). 3009–3018. 5 indexed citations
11.
Patel, Priyesh, et al.. (2021). Novel Acoustic Biomarker of Quality of Life in Left Ventricular Assist Device Recipients. Journal of the American Heart Association. 10(6). e018588–e018588. 2 indexed citations
12.
Rehorn, Michael, Rahul S. Loungani, Eric Black‐Maier, et al.. (2020). Cardiac Implantable Electronic Devices. JACC. Clinical electrophysiology. 6(9). 1144–1154. 26 indexed citations
13.
Gancz, Dana, Brian Raftrey, Rubén Marín‐Juez, et al.. (2019). Distinct origins and molecular mechanisms contribute to lymphatic formation during cardiac growth and regeneration. eLife. 8. 70 indexed citations
14.
Fernández, Cristina E., et al.. (2018). Endothelial Contributions to Zebrafish Heart Regeneration. Journal of Cardiovascular Development and Disease. 5(4). 56–56. 16 indexed citations
15.
Karra, Ravi, et al.. (2017). The relationship between cardiac endothelium and fibroblasts: it’s complicated. Journal of Clinical Investigation. 127(8). 2892–2894. 8 indexed citations
16.
Kang, Junsu, Jianxin Hu, Ravi Karra, et al.. (2016). Modulation of tissue repair by regeneration enhancer elements. Nature. 532(7598). 201–206. 225 indexed citations
17.
Gemberling, Matthew, Ravi Karra, Amy L. Dickson, & Kenneth D. Poss. (2015). Nrg1 is an injury-induced cardiomyocyte mitogen for the endogenous heart regeneration program in zebrafish. eLife. 4. 225 indexed citations
18.
Wang, Jinhu, Ravi Karra, Amy L. Dickson, & Kenneth D. Poss. (2013). Fibronectin is deposited by injury-activated epicardial cells and is necessary for zebrafish heart regeneration. Developmental Biology. 382(2). 427–435. 184 indexed citations
19.
Gupta, Vikas, Matthew Gemberling, Ravi Karra, et al.. (2013). An Injury-Responsive Gata4 Program Shapes the Zebrafish Cardiac Ventricle. Current Biology. 23(13). 1221–1227. 89 indexed citations
20.
Karra, Ravi, et al.. (2008). Cardiovascular stem cells in regenerative medicine: ready for prime time?. Drug Discovery Today Therapeutic Strategies. 5(4). 201–207. 8 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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