Fernando Botto

5.3k total citations
29 papers, 416 citations indexed

About

Fernando Botto is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Oncology. According to data from OpenAlex, Fernando Botto has authored 29 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 6 papers in Surgery and 6 papers in Oncology. Recurrent topics in Fernando Botto's work include Acute Myocardial Infarction Research (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Blood Pressure and Hypertension Studies (4 papers). Fernando Botto is often cited by papers focused on Acute Myocardial Infarction Research (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Blood Pressure and Hypertension Studies (4 papers). Fernando Botto collaborates with scholars based in Argentina, Canada and United States. Fernando Botto's co-authors include P.J. Devereaux, Christian S. Meyhoff, Prashant Rahate, Skarlet Marcell Vásquez, Joel L. Parlow, Packianathaswamy Balaji, Jesús Álvarez‐García, Emmanuelle Duceppe, Nicole M. Zimmerman and Reitze Rodseth and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Journal of Bone and Joint Surgery.

In The Last Decade

Fernando Botto

23 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Botto Argentina 9 314 229 82 36 34 29 416
Juan Gagliardi Argentina 11 237 0.8× 53 0.2× 58 0.7× 73 2.0× 25 0.7× 81 375
Rami M. Abazid Saudi Arabia 11 120 0.4× 78 0.3× 68 0.8× 57 1.6× 29 0.9× 46 314
César Belziti Argentina 9 166 0.5× 81 0.4× 47 0.6× 27 0.8× 33 1.0× 55 316
M. I. M. Versteegh Netherlands 11 345 1.1× 213 0.9× 123 1.5× 50 1.4× 54 1.6× 15 574
Dan Dobreanu Romania 14 504 1.6× 92 0.4× 43 0.5× 49 1.4× 19 0.6× 42 584
Tauseef Akhtar United States 10 242 0.8× 58 0.3× 42 0.5× 19 0.5× 23 0.7× 38 410
Khaled Sleik United States 4 473 1.5× 113 0.5× 83 1.0× 11 0.3× 12 0.4× 4 575
Ahmad A. Abdul-Aziz United States 8 116 0.4× 136 0.6× 54 0.7× 15 0.4× 55 1.6× 22 281
Lillian Ding Canada 13 384 1.2× 248 1.1× 98 1.2× 31 0.9× 74 2.2× 25 470
Stephen Luk United States 13 187 0.6× 356 1.6× 133 1.6× 12 0.3× 27 0.8× 27 612

Countries citing papers authored by Fernando Botto

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Botto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Botto

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Botto. A scholar is included among the top collaborators of Fernando Botto 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 Fernando Botto. Fernando Botto 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.
Botto, Fernando, et al.. (2026). Costo-eficacia del uso de ramipril en pacientes de alto riesgo vascular en la Argentina. Revista Argentina de Cardiología.
2.
Burgos, Lucrecia María, Juan Pablo Costabel, Marcelo Trivi, et al.. (2024). Inferior vena CAVA and lung ultraSound-guided therapy in acute heart failure: A randomized pilot study (CAVAL US-AHF study). American Heart Journal. 277. 47–57. 5 indexed citations
3.
Burgos, Lucrecia María, Sebastián García-Zamora, Kiera Liblik, et al.. (2023). Gender differences in workplace violence against physicians and nurses in Latin America: a survey from the Interamerican Society of Cardiology. Public Health. 225. 127–132. 10 indexed citations
4.
Burgos, Lucrecia María, et al.. (2022). SCAI Cardiogenic Shock Classification for Predicting In-Hospital and Long-Term Mortality in Acute Heart Failure. Journal of the Society for Cardiovascular Angiography & Interventions. 1(6). 100496–100496. 4 indexed citations
5.
Burgos, Lucrecia María, et al.. (2021). Impact of COVID-19 Pandemic Lockdown in Decompensated Heart Failure Hospitalizations. PubMed. 3(2). 138–138.
6.
Lamelas, Pablo, et al.. (2020). Enfermedad cardiovascular en tiempos de COVID-19. Conicet. 248–252. 3 indexed citations
7.
Maccallini, Gustavo, Fernando Botto, Martín Koretzky, et al.. (2019). Reference Values for Neutrophil to Lymphocyte Ratio (NLR), a Biomarker of Cardiovascular Risk, According to Age and Sex in a Latin American Population. Current Problems in Cardiology. 46(3). 100422–100422. 30 indexed citations
8.
Kotliar, C., et al.. (2018). Improved identification of secondary hypertension: use of a systematic protocol. Annals of Translational Medicine. 6(15). 293–293. 3 indexed citations
9.
Botto, Fernando, et al.. (2018). Frequency of early vascular aging and associated risk factors among an adult population in Latin America: the OPTIMO study. Journal of Human Hypertension. 32(3). 219–227. 21 indexed citations
10.
Sessler, Daniel I., Christian S. Meyhoff, Nicole M. Zimmerman, et al.. (2017). Period-dependent Associations between Hypotension during and for Four Days after Noncardiac Surgery and a Composite of Myocardial Infarction and Death. Anesthesiology. 128(2). 317–327. 171 indexed citations
11.
Krauss, Juan, et al.. (2016). Consenso Argentino de Evaluación de Riesgo Cardiovascular en Cirugía No Cardíaca / Versión resumida. Revista Argentina de Cardiología. 2 indexed citations
12.
Orlandini, Andrés, Noelia Castellana, Andrea Pascual, et al.. (2015). Myocardial viability for decision-making concerning revascularization in patients with left ventricular dysfunction and coronary artery disease: A meta-analysis of non-randomized and randomized studies. International Journal of Cardiology. 182. 494–499. 41 indexed citations
13.
14.
Fairman, Enrique, Jorge Thierer, Patricia Blanco, et al.. (2009). Registro Nacional de Internación por Insuficiencia Cardíaca 2007. Revista Argentina de Cardiología. 77(1). 33–39. 8 indexed citations
15.
Benzadón, Mariano, Juan Pablo Costabel, Alberto Alves de Lima, et al.. (2009). Aortic Valve Replacement in a Patient With Osler-Rendu-Weber Disease. The Annals of Thoracic Surgery. 88(1). e3–e4. 3 indexed citations
16.
Botto, Fernando, et al.. (2008). Años de vida perdidos por infarto agudo de miocardio en la Argentina entre 1991 y 2005. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Weber, Michael, Óscar Bazzino, José L. Estrada, et al.. (2008). N-Terminal B-Type Natriuretic Peptide Assessment Provides Incremental Prognostic Information in Patients With Acute Coronary Syndromes and Normal Troponin T Values Upon Admission. Journal of the American College of Cardiology. 51(12). 1188–1195. 55 indexed citations
18.
Blanco, Patricia, et al.. (2007). Infarto agudo de miocardio. Resultados de la Encuesta SAC 2005 en la República Argentina. Revista Argentina de Cardiología. 75(3). 163–170. 18 indexed citations
19.
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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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