Anila Veerani

557 total citations
8 papers, 420 citations indexed

About

Anila Veerani is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Anila Veerani has authored 8 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Molecular Biology. Recurrent topics in Anila Veerani's work include Cardiac Imaging and Diagnostics (5 papers), Cardiovascular Health and Disease Prevention (4 papers) and Blood Pressure and Hypertension Studies (3 papers). Anila Veerani is often cited by papers focused on Cardiac Imaging and Diagnostics (5 papers), Cardiovascular Health and Disease Prevention (4 papers) and Blood Pressure and Hypertension Studies (3 papers). Anila Veerani collaborates with scholars based in United States. Anila Veerani's co-authors include Julio A. Chirinos, Simon Chakko, Alan Schob, Juan P. Zambrano, Armando J. Mendez, Guido O. Pérez, Howard J. Willens, Eduardo de Marchena, Joaquín J. Jiménez and Carlos Alfonso and has published in prestigious journals such as CHEST Journal, Hypertension and The American Journal of Cardiology.

In The Last Decade

Anila Veerani

8 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anila Veerani United States	6	360	71	62	58	34	8	420
Dimitris Syrseloudis Greece	12	373 1.0×	79 1.1×	57 0.9×	80 1.4×	40 1.2×	24	491
Gerald J. Simkus Canada	9	219 0.6×	80 1.1×	114 1.8×	38 0.7×	29 0.9×	14	423
Alan Schob United States	11	385 1.1×	147 2.1×	132 2.1×	67 1.2×	45 1.3×	16	517
Ghanshyam Palamaner Subash Shantha United States	6	226 0.6×	107 1.5×	32 0.5×	51 0.9×	34 1.0×	9	363
Kee Sik Kim South Korea	10	166 0.5×	66 0.9×	46 0.7×	48 0.8×	27 0.8×	50	284
Myung‐Yong Lee South Korea	7	336 0.9×	134 1.9×	51 0.8×	37 0.6×	86 2.5×	36	437
Shunsuke Natori Japan	7	475 1.3×	59 0.8×	109 1.8×	230 4.0×	34 1.0×	15	566
P. Toutouzas Greece	11	283 0.8×	71 1.0×	93 1.5×	49 0.8×	35 1.0×	36	406
Karina V Bunting United Kingdom	10	360 1.0×	43 0.6×	32 0.5×	70 1.2×	44 1.3×	27	462
M Dancy United Kingdom	9	254 0.7×	74 1.0×	34 0.5×	48 0.8×	53 1.6×	39	357

Countries citing papers authored by Anila Veerani

Since Specialization

Citations

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

Fields of papers citing papers by Anila Veerani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anila Veerani

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

All Works

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8 of 8 papers shown

Willens, Howard J., et al.. (2006). The Relation Between Mitral Annular Calcification and Mortality in Patients Undergoing Diagnostic Coronary Angiography. Echocardiography. 23(9). 717–722. 23 indexed citations

Chirinos, Julio A., Anila Veerani, Juan P. Zambrano, et al.. (2006). Evaluation of comorbidity scores to predict all-cause mortality in patients with established coronary artery disease. International Journal of Cardiology. 117(1). 97–102. 26 indexed citations

Chirinos, Julio A., Eduardo de Marchena, Carlos Alfonso, et al.. (2006). DIFFERENTIAL ELEVATION OF ENDOTHELIAL MICROPARTICLES AND THEIR BINDING TO LEUKOCYTES IN ACUTE CORONARY SYNDROMES. CHEST Journal. 130(4). 190S–190S. 3 indexed citations

Chirinos, Julio A., Eduardo de Marchena, Anila Veerani, et al.. (2006). IS DIABETES A STRONGER PREDICTOR OF RECURRENT CARDIOVASCULAR EVENTS THAN THE ANGIOGRAPHIC SEVERITY OF CORONARY ARTERY DISEASE?. CHEST Journal. 130(4). 198S–198S. 2 indexed citations

Chirinos, Julio A., Juan P. Zambrano, Simon Chakko, et al.. (2005). Relation Between Ascending Aortic Pressures and Outcomes in Patients With Angiographically Demonstrated Coronary Artery Disease. The American Journal of Cardiology. 96(5). 645–648. 47 indexed citations

Chirinos, Julio A., et al.. (2005). Aortic pressure augmentation predicts adverse cardiovascular events in patients with established coronary artery disease. American Journal of Hypertension. 18(5). A11–A12. 5 indexed citations

Chirinos, Julio A., Juan P. Zambrano, Simon Chakko, et al.. (2005). Aortic Pressure Augmentation Predicts Adverse Cardiovascular Events in Patients With Established Coronary Artery Disease. Hypertension. 45(5). 980–985. 271 indexed citations

Chirinos, Julio A., Juan P. Zambrano, Simon Chakko, et al.. (2004). Usefulness of C-reactive protein as an independent predictor of death in patients with ischemic cardiomyopathy. The American Journal of Cardiology. 95(1). 88–90. 43 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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