Ravi Ranjan

2.8k total citations
135 papers, 1.7k citations indexed

About

Ravi Ranjan is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Ravi Ranjan has authored 135 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Cardiology and Cardiovascular Medicine, 35 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Surgery. Recurrent topics in Ravi Ranjan's work include Cardiac Arrhythmias and Treatments (65 papers), Atrial Fibrillation Management and Outcomes (55 papers) and Cardiac electrophysiology and arrhythmias (48 papers). Ravi Ranjan is often cited by papers focused on Cardiac Arrhythmias and Treatments (65 papers), Atrial Fibrillation Management and Outcomes (55 papers) and Cardiac electrophysiology and arrhythmias (48 papers). Ravi Ranjan collaborates with scholars based in United States, India and France. Ravi Ranjan's co-authors include Rob MacLeod, Eugene Kholmovski, Derek J. Dosdall, Nassir Marrouche, Dennis L. Parker, Elyar Ghafoori, Edward DiBella, Kennosuke Yamashita, Nathan Burgon and Joshua Blauer and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Ravi Ranjan

124 papers receiving 1.6k 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 Ranjan United States 18 1.3k 427 83 82 75 135 1.7k
Jasjit S. Suri United States 21 410 0.3× 370 0.9× 84 1.0× 73 0.9× 60 0.8× 37 1.3k
Adityo Prakosa United States 22 1.1k 0.8× 243 0.6× 147 1.8× 114 1.4× 60 0.8× 57 1.3k
Axel Loewe Germany 22 1.4k 1.0× 144 0.3× 241 2.9× 178 2.2× 55 0.7× 158 1.7k
Chris P. Bradley New Zealand 18 808 0.6× 182 0.4× 197 2.4× 290 3.5× 71 0.9× 44 1.2k
Hermenegild Arevalo United States 21 1.4k 1.1× 373 0.9× 228 2.7× 292 3.6× 87 1.2× 57 1.8k
Aurel Neic Austria 18 1.0k 0.8× 152 0.4× 226 2.7× 64 0.8× 61 0.8× 47 1.2k
Christoph M. Augustin Austria 18 751 0.6× 121 0.3× 289 3.5× 84 1.0× 91 1.2× 43 1.0k
Rod Hose United Kingdom 12 193 0.1× 97 0.2× 86 1.0× 38 0.5× 99 1.3× 24 599
Caroline H. Roney United Kingdom 21 1.3k 1.0× 192 0.4× 107 1.3× 110 1.3× 58 0.8× 95 1.5k
Giuseppe Coppini Italy 17 190 0.1× 322 0.8× 142 1.7× 60 0.7× 91 1.2× 51 899

Countries citing papers authored by Ravi Ranjan

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Ranjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Ranjan

This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Ranjan. A scholar is included among the top collaborators of Ravi Ranjan 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 Ranjan. Ravi Ranjan 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.
Li, Jing, Naim M. Maalouf, Eugene E. Kwan, et al.. (2024). Cardiac bridging integrator 1 gene therapy rescues chronic non-ischemic heart failure in minipigs. npj Regenerative Medicine. 9(1). 36–36. 7 indexed citations
2.
Harsh, Harsh, et al.. (2024). Fashion Forward with AI Creations using GAN. 395–402. 1 indexed citations
3.
Bergquist, Jake, et al.. (2024). Are drivers recurring or ephemeral? observations from serial mapping of persistent atrial fibrillation. EP Europace. 26(11). 2 indexed citations
4.
Bergquist, Jake, Derek J. Dosdall, Edward DiBella, et al.. (2024). Left atrial functional changes associated with repeated catheter ablations for atrial fibrillation. Journal of Cardiovascular Electrophysiology. 36(1). 95–102. 1 indexed citations
5.
Ghosh, Anik, P. Krishnan, Manas Kumar Panigrahi, et al.. (2024). Expert panel recommendations for topical hemostatic agent use in varied bleeding sites and situations during neuro-spine surgeries. Journal of Clinical Neuroscience. 120. 30–35. 1 indexed citations
6.
Lange, Matthias, Jake Bergquist, Eugene E. Kwan, et al.. (2023). Effects of Biventricular Pacing Locations on Anti-Tachycardia Pacing Success in a Patient-Specific Model. Computing in cardiology. 2023. 1 indexed citations
7.
Bergquist, Jake, Matthias Lange, Brian Zenger, et al.. (2023). Uncertainty Quantification of the Effect of Variable Conductivity in Ventricular Fibrotic Regions on Ventricular Tachycardia. Computing in cardiology. 50. 1 indexed citations
8.
Palatinus, Joseph A., Craig H. Selzman, Stavros G. Drakos, et al.. (2023). GJA1-20k Rescues Cx43 Localization and Arrhythmias in Arrhythmogenic Cardiomyopathy. Circulation Research. 132(6). 744–746. 16 indexed citations
9.
Bergquist, Jake, Brian Zenger, Rob MacLeod, et al.. (2023). Comparison of Machine Learning Detection of Low Left Ventricular Ejection Fraction Using Individual ECG Leads. Computing in cardiology. 50. 2 indexed citations
10.
Zenger, Brian, et al.. (2023). Atrial fibrillation and the risk of early-onset dementia and cognitive decline: An updated review. Trends in Cardiovascular Medicine. 34(4). 236–241. 16 indexed citations
11.
Kamali, Roya, Misha Regouski, T. Jared Bunch, et al.. (2023). Contribution of atrial myofiber architecture to atrial fibrillation. PLoS ONE. 18(1). e0279974–e0279974. 4 indexed citations
12.
13.
Ghafoori, Elyar, Gernot Plank, Edward J. Vigmond, et al.. (2020). Direct comparison of a novel antitachycardia pacing algorithm against present methods using virtual patient modeling. Heart Rhythm. 17(9). 1602–1608. 30 indexed citations
14.
Wißner, Erik, et al.. (2019). Relationship between time‐to‐isolation and freeze duration: Computational modeling of dosing for Arctic Front Advance and Arctic Front Advance Pro cryoballoons. Journal of Cardiovascular Electrophysiology. 30(11). 2274–2282. 11 indexed citations
15.
16.
Yamashita, Kennosuke, et al.. (2019). Effective Ablation Settings That Predict Chronic Scar After Left Atrial Ablation. JACC. Clinical electrophysiology. 6(2). 143–152. 8 indexed citations
17.
Yamashita, Kennosuke, et al.. (2019). The Effective Contact Force to Minimize Edema Relative to Chronic Lesion Formation During Radiofrequency Ablation in Ventricular Wall. International Heart Journal. 60(6). 1407–1414. 5 indexed citations
18.
Ranjan, Ravi, Elyar Ghafoori, Joshua Blauer, et al.. (2016). Abstract 16247: Personalized MRI-Based Modeling Predicts Ventricular Tachycardia Vulnerability in Patients Receiving Primary Prevention ICDs. Circulation. 134. 2 indexed citations
19.
Kholmovski, Eugene, Nan Hu, Dennis L. Parker, et al.. (2015). Poor scar formation after ablation is associated with atrial fibrillation recurrence. Journal of Interventional Cardiac Electrophysiology. 44(3). 247–256. 42 indexed citations
20.

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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Breakdown of academic impact, for papers by Jasjit S. Suri Breakdown of academic impact, for papers by Adityo Prakosa Breakdown of academic impact, for papers by Axel Loewe Breakdown of academic impact, for papers by Chris P. Bradley Breakdown of academic impact, for papers by Hermenegild Arevalo Breakdown of academic impact, for papers by Aurel Neic Breakdown of academic impact, for papers by Christoph M. Augustin Breakdown of academic impact, for papers by Rod Hose Breakdown of academic impact, for papers by Caroline H. Roney Breakdown of academic impact, for papers by Giuseppe Coppini
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