Array
(
    [responseDate] => 2026-06-17T02:30:12Z
    [request] => https://ijsmc.pro-metrics.org/index.php/i/oai
    [GetRecord] => SimpleXMLElement Object
        (
            [record] => SimpleXMLElement Object
                (
                    [header] => SimpleXMLElement Object
                        (
                            [identifier] => oai:ojs2.ijsmc.pro-metrics.org:article/386
                            [datestamp] => 2026-06-11T23:15:11Z
                            [setSpec] => Array
                                (
                                    [0] => i:ART
                                    [1] => driver
                                )

                        )

                    [metadata] => SimpleXMLElement Object
                        (
                            [dc] => SimpleXMLElement Object
                                (
                                    [title] => Metabolomics in arbovirus research: A scientometric analysis of its scientific production, collaboration networks, and thematic evolution
                                    [creator] => Array
                                        (
                                            [0] => Garcia Cifuentes, Keneth Stiven
                                            [1] => Villanueva, Zuly Dayanna
                                            [2] => Escobar-Luján, Sindy J.
                                            [3] => Cardona-Ospina, Jaime A.
                                            [4] => Zuluaga, Martha
                                        )

                                    [subject] => Array
                                        (
                                            [0] => arboviruses
                                            [1] => metabolomics
                                            [2] => scientometric analysis
                                            [3] => bibliometric mapping
                                            [4] => co-citation analysis
                                            [5] => research trends
                                            [6] => Tree of Science
                                        )

                                    [description] => Objective. Metabolomics is increasingly used to characterize host-virus interactions, metabolic remodeling linked to viral pathogenesis, and vector biology that shapes arbovirus transmission. However, research at the arbovirus-metabolomics interface is fragmented across viruses, hosts, vectors, analytical platforms, and disciplinary communities, which limits a consolidated understanding. To summarize the available literature on this topic, we conducted a scientometric review using Web of Science and Scopus.
Design/Methodology/Approach. We retrieved records and cited references from 2000 to 2024 and curated them using transparent deduplication and data-cleaning procedures. We quantified production and impact (e.g., annual output, citations), mapped geographic and journal landscapes, and built co-authorship, co-citation, and keyword co-occurrence networks. Community detection and thematic evolution analyses were complemented by a Tree of Science approach to prioritize seminal, structural, and frontier literature for qualitative synthesis (60 articles).
Results/Discussion. Our findings indicate that the field exhibits sustained growth and a multi-community structure. Activity is concentrated in the United States, Brazil, and France, with core venues spanning virology, tropical medicine, and multidisciplinary journals. Three dominant thematic clusters emerged: (1) host metabolic remodeling and immunometabolism during arboviral infection, (2) vector metabolism and microbiome-related mechanisms that influence transmission, and (3) translational directions, including biomarker discovery, therapeutic target identification, and multi-omics integration.
Conclusions. While recent work emphasizes lipidomics, multi-omics, and single-cell approaches, as well as vector-microbiome interactions, gaps persist in standardization and cross-study comparability.This mapping clarifies the intellectual structure of arbovirus metabolomics, identifies influential figures and outlets, and outlines priorities to improve reproducibility and integrative synthesis.
                                    [publisher] => Pro-Metrics
                                    [date] => 2026-06-12
                                    [type] => Array
                                        (
                                            [0] => info:eu-repo/semantics/article
                                            [1] => info:eu-repo/semantics/publishedVersion
                                            [2] => Peer-reviewed article
                                        )

                                    [format] => application/pdf
                                    [identifier] => Array
                                        (
                                            [0] => https://ijsmc.pro-metrics.org/index.php/i/article/view/386
                                            [1] => 10.47909/ijsmc.386
                                        )

                                    [source] => Array
                                        (
                                            [0] => Iberoamerican Journal of Science Measurement and Communication; Vol. 6 No. 2 (2026): Iberoamerican Journal of Science Measurement and Communication; 1-20
                                            [1] => Iberoamerican Journal of Science Measurement and Communication; Vol. 6 Núm. 2 (2026): Iberoamerican Journal of Science Measurement and Communication; 1-20
                                            [2] => Iberoamerican Journal of Science Measurement and Communication; Vol. 6 N.º 2 (2026): Iberoamerican Journal of Science Measurement and Communication; 1-20
                                            [3] => 2709-3158
                                            [4] => 2709-7595
                                        )

                                    [language] => eng
                                    [relation] => https://ijsmc.pro-metrics.org/index.php/i/article/view/386/221
                                    [rights] => Array
                                        (
                                            [0] => Copyright (c) 2026 Keneth Stiven Garcia Cifuentes, Zuly Dayanna Villanueva, Sindy Johana Escobar Luján, Jaime A. Cardona-Ospina, Martha Zuluaga
                                            [1] => https://creativecommons.org/licenses/by-nc/4.0
                                        )

                                )

                        )

                )

        )

)