Nada Shaban

546 total citations
7 papers, 82 citations indexed

About

Nada Shaban is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nada Shaban has authored 7 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nada Shaban's work include Cardiac Imaging and Diagnostics (3 papers), Cardiac Arrhythmias and Treatments (2 papers) and Atrial Fibrillation Management and Outcomes (2 papers). Nada Shaban is often cited by papers focused on Cardiac Imaging and Diagnostics (3 papers), Cardiac Arrhythmias and Treatments (2 papers) and Atrial Fibrillation Management and Outcomes (2 papers). Nada Shaban collaborates with scholars based in United States, Italy and Canada. Nada Shaban's co-authors include Cynthia Taub, Lili Zhang, Leng Jiang, Jessica M. Peña, Jeffrey M. Levsky, Michael Wu, James E. Ip, George Thomas, Jim W. Cheung and James Gabriels and has published in prestigious journals such as Circulation, Journal of the American Society of Echocardiography and International Journal of Cardiology.

In The Last Decade

Nada Shaban

6 papers receiving 80 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nada Shaban United States	6	72	28	11	11	11	7	82
J. Stevenhagen Netherlands	6	92 1.3×	25 0.9×	29 2.6×	11 1.0×	10 0.9×	11	98
J. W. Schrickel Germany	4	144 2.0×	41 1.5×	17 1.5×	10 0.9×	9 0.8×	7	153
Alessandro Masci Italy	5	146 2.0×	25 0.9×	20 1.8×	9 0.8×	7 0.6×	10	158
Erick Schampaert Netherlands	2	84 1.2×	22 0.8×	21 1.9×	6 0.5×	4 0.4×	2	90
A. Rahman United Kingdom	4	59 0.8×	12 0.4×	30 2.7×	12 1.1×	12 1.1×	5	75
Katharina Schoene Germany	8	224 3.1×	29 1.0×	21 1.9×	5 0.5×	13 1.2×	11	243
B Desveaux France	6	50 0.7×	17 0.6×	21 1.9×	16 1.5×	16 1.5×	22	68
Е. В. Меркулов Russia	4	37 0.5×	14 0.5×	25 2.3×	15 1.4×	6 0.5×	33	51
Sang Sig Cheong South Korea	4	53 0.7×	34 1.2×	27 2.5×	21 1.9×	5 0.5×	10	70
Aref Rahman United States	4	61 0.8×	36 1.3×	20 1.8×	3 0.3×	6 0.5×	8	68

Countries citing papers authored by Nada Shaban

Since Specialization

Citations

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

Fields of papers citing papers by Nada Shaban

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nada Shaban

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

Camaj, Anton, Gennaro Giustino, Michael S. Miller, et al.. (2020). Abstract 15808: Relationship Between Myocardial Injury, Wall Motion Abnormalities and Mortality in Patients With Covid-19: The Circ-19 Registry. Circulation. 142(Suppl_3).

Wu, Michael, James Gabriels, Nada Shaban, et al.. (2018). Left atrial thrombus and dense spontaneous echocardiographic contrast in patients on continuous direct oral anticoagulant therapy undergoing catheter ablation of atrial fibrillation: Comparison of dabigatran, rivaroxaban, and apixaban. Heart Rhythm. 15(4). 496–502. 21 indexed citations

Wu, Michael, James Gabriels, Nada Shaban, et al.. (2018). Left atrial thrombus despite continuous direct oral anticoagulant or warfarin therapy in patients with atrial fibrillation: insights into rates and timing of thrombus resolution. Journal of Interventional Cardiac Electrophysiology. 53(2). 159–167. 11 indexed citations

Zhang, Meng, Stéphanie Tan, Vishal Patel, et al.. (2017). Patent foramen ovale in patients with pulmonary embolism: A prognostic factor on CT pulmonary angiography?. Journal of cardiovascular computed tomography. 12(4). 271–274. 7 indexed citations

Romero, Jorge, Florentino Lupercio, Juan Carlos Díaz, et al.. (2015). Microvascular obstruction detected by cardiac MRI after AMI for the prediction of LV remodeling and MACE: A meta-analysis of prospective trials. International Journal of Cardiology. 202. 344–348. 12 indexed citations

Zhang, Lili, et al.. (2014). Left Heart Chamber Quantification in Obese Patients: How Does Larger Body Size Affect Echocardiographic Measurements?. Journal of the American Society of Echocardiography. 27(12). 1267–1274. 21 indexed citations

Lee, Jennifer M., et al.. (2014). Normal Echocardiographic Measurements in Uncomplicated Pregnancy, a Single Center Experience. Journal of Cardiovascular Disease Research. 5(2). 3–8. 10 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.

Explore authors with similar magnitude of impact