Daniel Seabra

1.3k total citations
19 papers, 110 citations indexed

About

Daniel Seabra is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Daniel Seabra has authored 19 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 6 papers in Cardiology and Cardiovascular Medicine and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Daniel Seabra's work include Lipoproteins and Cardiovascular Health (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Cardiac Imaging and Diagnostics (2 papers). Daniel Seabra is often cited by papers focused on Lipoproteins and Cardiovascular Health (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Cardiac Imaging and Diagnostics (2 papers). Daniel Seabra collaborates with scholars based in Portugal, Brazil and Sweden. Daniel Seabra's co-authors include Luciano Nesrallah, Daniel Sigulem, Miguel Srougi, Valdemar Ortiz, Cristina Gavina, Tiago Taveira‐Gomes, Ricardo Jorge Dinis‐Oliveira, Carla Santos-Araújo, Francisco Araújo and Aurora Andrade and has published in prestigious journals such as European Heart Journal, The Journal of Urology and BMJ Open.

In The Last Decade

Daniel Seabra

17 papers receiving 107 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Seabra Portugal 6 33 21 20 20 17 19 110
Kelsey Mayo United States 6 26 0.8× 20 1.0× 24 1.2× 8 0.4× 17 1.0× 9 120
Ya. V. Danilchenko Russia 4 18 0.5× 22 1.0× 3 0.1× 20 1.0× 3 0.2× 32 83
Soheir H. Ahmed Norway 5 19 0.6× 37 1.8× 10 0.5× 14 0.7× 9 0.5× 9 102
Hana Harazim Czechia 6 29 0.9× 19 0.9× 10 0.5× 47 2.4× 18 1.1× 23 141
Marlena Paniczko Poland 8 10 0.3× 31 1.5× 9 0.5× 17 0.8× 23 1.4× 12 145
Esther H. Chung United States 9 45 1.4× 5 0.2× 3 0.1× 11 0.6× 5 0.3× 19 116
Cătălina Liliana Andrei Romania 7 13 0.4× 46 2.2× 15 0.8× 19 0.9× 12 0.7× 36 114
Jennifer L. Halford United States 7 47 1.4× 80 3.8× 10 0.5× 21 1.1× 22 1.3× 8 186
Eleanor Dinnett United Kingdom 3 22 0.7× 17 0.8× 5 0.3× 12 0.6× 8 0.5× 5 66
G. Schmit France 7 6 0.2× 16 0.8× 17 0.8× 22 1.1× 8 0.5× 31 169

Countries citing papers authored by Daniel Seabra

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Seabra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Seabra

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

All Works

19 of 19 papers shown
1.
2.
Gavina, Cristina, et al.. (2024). Long-term cardiovascular outcomes in a population-based multicentric cohort of northern Portugal: Validation of the ESC/EAS prognostic risk classification. Journal of clinical lipidology. 18(4). e562–e571. 1 indexed citations
3.
Gavina, Cristina, Alexandra Borges, Inês Costa, et al.. (2024). Patients’ health care resources utilization and costs estimation across cardiovascular risk categories: insights from the LATINO study. Health Economics Review. 14(1). 73–73. 1 indexed citations
4.
Gavina, Cristina, Daniel Seabra, Carlos Aguíar, et al.. (2023). Characterization and LDL‐C management in a cohort of high and very high cardiovascular risk patients: The PORTRAIT‐DYS study. Clinical Cardiology. 47(1). e24183–e24183. 2 indexed citations
5.
Seabra, Daniel, et al.. (2023). Low-density lipoprotein cholesterol reduction and short-term incidence of ASCVD in the population-based cohort study LATINO. European Heart Journal. 44(Supplement_2). 1 indexed citations
6.
Sousa, Cristina Paiva de, et al.. (2023). Anesthetic Management of a Patient With Prinzmetal Angina. Cureus. 15(7). e41857–e41857. 1 indexed citations
7.
Seabra, Daniel, et al.. (2023). The “airgap” and “swirling bubbles” signs in a patient with esophageal carcinoma. Echocardiography. 40(3). 252–258.
8.
Gavina, Cristina, et al.. (2022). Cardiovascular Risk Profile and Lipid Management in the Population-Based Cohort Study LATINO: 20 Years of Real-World Data. Journal of Clinical Medicine. 11(22). 6825–6825. 13 indexed citations
9.
Gavina, Cristina, et al.. (2022). 20 Years of Real-World Data to Estimate the Prevalence of Heart Failure and Its Subtypes in an Unselected Population of Integrated Care Units. Journal of Cardiovascular Development and Disease. 9(5). 149–149. 13 indexed citations
10.
Gavina, Cristina, et al.. (2022). Premature Mortality in Type 2 Diabetes Mellitus Associated with Heart Failure and Chronic Kidney Disease: 20 Years of Real-World Data. Journal of Clinical Medicine. 11(8). 2131–2131. 8 indexed citations
11.
Santos-Araújo, Carla, et al.. (2022). Twenty years of real-world data to estimate chronic kidney disease prevalence and staging in an unselected population. Clinical Kidney Journal. 16(1). 111–124. 4 indexed citations
12.
Valente, Fabio, et al.. (2021). Cardiorenal syndrome and death risk in patients with heart failure or chronic kidney disease: an unmet cardiorenal need?. European Heart Journal. 42(Supplement_1). 2 indexed citations
13.
Seabra, Daniel, et al.. (2020). Acute Aortic Regurgitation Due to Endocarditis Caused by Disseminated Gonococcal Infection: A Case Report. Sexually Transmitted Diseases. 48(3). e48–e50. 5 indexed citations
14.
Seabra, Daniel, et al.. (2019). Epipericardial fat necrosis as a differential diagnosis of chest pain—A case report. Echocardiography. 37(1). 132–134. 3 indexed citations
15.
Moreno, Nuno, et al.. (2018). Aortic regurgitation in rheumatoid arthritis: an uncommon presentation. International journal of cardiac imaging. 35(1). 117–118. 1 indexed citations
16.
Moreno, Nuno, et al.. (2018). Importance of three-dimensional speckle tracking in the assessment of left atrial and ventricular dysfunction in patients with myotonic dystrophy type 1. Revista Portuguesa de Cardiologia. 37(4). 333–338. 7 indexed citations
17.
Lucchesi, Fabiano R., et al.. (2008). Avaliação das fístulas urogenitais por urorressonância magnética. Radiologia Brasileira. 41(1). 19–23. 3 indexed citations
18.
Seabra, Daniel, et al.. (2004). Computer Aided Learning Versus Standard Lecture for Undergraduate Education in Urology. The Journal of Urology. 171(3). 1220–1222. 42 indexed citations
19.
Reis, Marlene Antônia dos, et al.. (1996). Prevalência de infartos renais em necropsias de chagãsicos crônicos. Revista da Sociedade Brasileira de Medicina Tropical. 29(6). 571–574. 3 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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