Fernando Tortosa

987 total citations · 1 hit paper
15 papers, 504 citations indexed

About

Fernando Tortosa is a scholar working on Infectious Diseases, General Health Professions and Neurology. According to data from OpenAlex, Fernando Tortosa has authored 15 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 3 papers in General Health Professions and 2 papers in Neurology. Recurrent topics in Fernando Tortosa's work include COVID-19 Clinical Research Studies (6 papers), Parasitic Diseases Research and Treatment (2 papers) and Meta-analysis and systematic reviews (2 papers). Fernando Tortosa is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), Parasitic Diseases Research and Treatment (2 papers) and Meta-analysis and systematic reviews (2 papers). Fernando Tortosa collaborates with scholars based in Argentina, Chile and United States. Fernando Tortosa's co-authors include Ariel Izcovich, Martín Ragusa, Gabriel Rada, Verónica Sanguine, A Bengolea, Farid Foroutan, Arnav Agarwal, H Catalano, Federico Espinosa and Ezequiel Saavedra and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Epidemiology.

In The Last Decade

Fernando Tortosa

11 papers receiving 486 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prognostic factors for severity and mortality in patients infected with COVID-19: A systematic review

2020 396 citations Ariel Izcovich, Martín Ragusa et al. PLoS ONE profile →

Peers

Fernando Tortosa

NEURO

ONCOL

EPIDE

Verónica Sanguine Argentina

Martín Ragusa Argentina

Federico Espinosa Chile

Ezequiel Saavedra Argentina

Camila Agnoletti Chile

A Bengolea Argentina

Lanbo Yang United States

Rebecca Li United States

Raveena Kelkar India

Kelly Malette United States

Verónica Sanguine Argentina

Fernando Tortosa

288 ×0.9

136 ×0.9

NEURO

126 ×1.0

ONCOL

84 ×0.8

EPIDE

51 ×1.0

Citations per year, relative to Fernando Tortosa Fernando Tortosa (= 1×) peers Verónica Sanguine

Countries citing papers authored by Fernando Tortosa

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Tortosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Tortosa

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

All Works

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15 of 15 papers shown

Izcovich, Ariel, et al.. (2025). Delivering rapid, up-to-date, high-quality evidence is feasible during health emergencies: PAHO living systematic review of 305 COVID-19 potential therapeutics. Revista Panamericana de Salud Pública. 49. 1–1.

Neumann, Ignacio, Ariel Izcovich, A Bengolea, et al.. (2025). Encouraging the use of the best available evidence in journal clubs for practising clinicians. BMJ evidence-based medicine. 30(6). 401–405.

Tortosa, Fernando, et al.. (2024). Seroprevalence of hantavirus infection in non-epidemic settings over four decades: a systematic review and meta-analysis. BMC Public Health. 24(1). 2553–2553. 5 indexed citations

Tortosa, Fernando, Gerardo M. Castillo, Ariel Izcovich, et al.. (2024). Revisión sistemática viva de las manifestaciones clínicas de la fiebre de Oropouche: claves para diferenciarla del dengue y otras arbovirosis. Revista Panamericana de Salud Pública. 48. 1–1. 4 indexed citations

Ragusa, Martín, Fernando Tortosa, Ana Torres, et al.. (2023). Viral reactivations and co-infections in COVID-19 patients: a systematic review. BMC Infectious Diseases. 23(1). 259–259. 21 indexed citations

Rosso, Sebastián Del, et al.. (2023). Long‐term effects of different exercise training modes on cytokines and adipokines in individuals with overweight/obesity and cardiometabolic diseases: A systematic review, meta‐analysis, and meta‐regression of randomized controlled trials. Obesity Reviews. 24(6). e13564–e13564. 23 indexed citations

Izcovich, Ariel, Martín Ragusa, Fernando Tortosa, et al.. (2022). Correction: Prognostic factors for severity and mortality in patients infected with COVID-19: A systematic review. PLoS ONE. 17(5). e0269291–e0269291. 5 indexed citations

Izcovich, Ariel, Martín Ragusa, Fernando Tortosa, et al.. (2021). Bias as a source of inconsistency in ivermectin trials for COVID-19: A systematic review. Ivermectin's suggested benefits are mainly based on potentially biased results. Journal of Clinical Epidemiology. 144. 43–55. 17 indexed citations

Tortosa, Fernando, et al.. (2021). High-flow oxygen nasal cannula for treating acute bronchiolitis in infants: A systematic review and meta-analysis. SHILAP Revista de lepidopterología. 21(4). e8190–e8190. 12 indexed citations

10.

Tortosa, Fernando, et al.. (2021). Riesgo de sesgo de publicación en intervenciones terapéuticas para la COVID-19. Revista Panamericana de Salud Pública. 45. 1–1. 1 indexed citations

11.

Izcovich, Ariel, et al.. (2021). Actualizaciones basadas en evidencia COVID-19 Inmunoterapia pasiva con anticuerpos policlonales equinos (suero equino hiperinmune) para el tratamiento de pacientes con COVID-19. 14–14.

12.

Izcovich, Ariel, Martín Ragusa, Fernando Tortosa, et al.. (2021). Bias as a source of inconsistency in ivermectin trials for COVID-19: A systematic review. medRxiv. 1 indexed citations

13.

Izcovich, Ariel, Martín Ragusa, Fernando Tortosa, et al.. (2020). Prognostic factors for severity and mortality in patients infected with COVID-19: A systematic review. PLoS ONE. 15(11). e0241955–e0241955. 396 indexed citations breakdown →

14.

Izcovich, Ariel, Martín Ragusa, Fernando Tortosa, et al.. (2020). Prognostic Factors for Severity and Mortality in Patients Infected with COVID-19: A Systematic Review. SSRN Electronic Journal. 19 indexed citations

15.

Tortosa, Fernando, et al.. (2020). Adquisición de hábitos deportivos saludables en usuarios de la Subsecretaría Municipal de Deportes de Bariloche. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 9(8). 41.

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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