Deepika Gopalakrishnan

511 total citations
7 papers, 356 citations indexed

About

Deepika Gopalakrishnan is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Deepika Gopalakrishnan has authored 7 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 3 papers in Epidemiology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Deepika Gopalakrishnan's work include Cardiac Valve Diseases and Treatments (2 papers), Infective Endocarditis Diagnosis and Management (2 papers) and Cardiac Imaging and Diagnostics (2 papers). Deepika Gopalakrishnan is often cited by papers focused on Cardiac Valve Diseases and Treatments (2 papers), Infective Endocarditis Diagnosis and Management (2 papers) and Cardiac Imaging and Diagnostics (2 papers). Deepika Gopalakrishnan collaborates with scholars based in United States, Switzerland and Canada. Deepika Gopalakrishnan's co-authors include George Hug, Beverly Gibson, Jerry Vockley, Piero Rinaldo, Arnold W. Strauss, Amit Mathur, Harold F. Sims, Martin Keane, Martin Bilsker and Neil J. Weissman and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and CHEST Journal.

In The Last Decade

Deepika Gopalakrishnan

7 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepika Gopalakrishnan United States	6	241	131	91	88	71	7	356
Milena Leo United Kingdom	14	299 1.2×	103 0.8×	24 0.3×	67 0.8×	25 0.4×	47	475
Asaad Khoury Israel	9	194 0.8×	117 0.9×	17 0.2×	94 1.1×	30 0.4×	27	315
R. P. Beekman Netherlands	8	130 0.5×	115 0.9×	29 0.3×	29 0.3×	158 2.2×	15	265
Yoshimasa Niiya Japan	10	30 0.1×	54 0.4×	40 0.4×	13 0.1×	27 0.4×	33	214
Y Shigematsu Japan	10	284 1.2×	38 0.3×	13 0.1×	25 0.3×	95 1.3×	19	449
James Gagg United Kingdom	10	172 0.7×	30 0.2×	29 0.3×	55 0.6×	36 0.5×	24	381
Jonathan James Hyett Bray United Kingdom	10	121 0.5×	57 0.4×	5 0.1×	59 0.7×	44 0.6×	29	320
Pedro Iturralde Mexico	13	688 2.9×	73 0.6×	15 0.2×	127 1.4×	32 0.5×	82	750
Fernando Carrasco‐Chinchilla Spain	12	194 0.8×	122 0.9×	6 0.1×	28 0.3×	58 0.8×	34	313
Federico Moroni Italy	7	94 0.4×	45 0.3×	8 0.1×	23 0.3×	17 0.2×	10	220

Countries citing papers authored by Deepika Gopalakrishnan

Since Specialization

Citations

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

Fields of papers citing papers by Deepika Gopalakrishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepika Gopalakrishnan

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

All Works

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7 of 7 papers shown

1.

Idris, Amr, et al.. (2020). EXOGENOUS TESTOSTERONE WITH INDUCED MYOCARDITIS RESULTING IN SUDDEN ONSET TRANSIENT COMPLETE HEART BLOCK. Journal of the American College of Cardiology. 75(11). 3243–3243. 2 indexed citations

2.

Gopal, Ajay K., et al.. (2015). Noncontrast 3D CMR Imaging for Aortic Valve Annulus Sizing in TAVR. JACC. Cardiovascular imaging. 8(3). 375–378. 19 indexed citations

3.

Hahn, Rebecca T., Philippe Pîbarot, William J. Stewart, et al.. (2013). Comparison of Transcatheter and Surgical Aortic Valve Replacement in Severe Aortic Stenosis. Journal of the American College of Cardiology. 61(25). 2514–2521. 172 indexed citations

4.

Budoff, Matthew J., Ajay K. Gopal, & Deepika Gopalakrishnan. (2009). Cardiac computed tomography: Diagnostic utility and integration in clinical practice. Clinical Cardiology. 29(S1). 4–14. 8 indexed citations

5.

Mathur, Amit, Harold F. Sims, Deepika Gopalakrishnan, et al.. (1999). Molecular Heterogeneity in Very-Long-Chain Acyl-CoA Dehydrogenase Deficiency Causing Pediatric Cardiomyopathy and Sudden Death. Circulation. 99(10). 1337–1343. 122 indexed citations

6.

Gopalakrishnan, Deepika, et al.. (1997). Diffuse pulmonary hemorrhage complicating thrombolytic therapy for acute myocardial infarction. Clinical Cardiology. 20(3). 298–300. 19 indexed citations

7.

Stein, Paul D., et al.. (1995). Asymmetry of the Calves in the Assessment of Patients With Suspected Acute Pulmonary Embolism. CHEST Journal. 107(4). 936–939. 14 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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