Natalia Goñi

3.2k total citations
12 papers, 76 citations indexed

About

Natalia Goñi is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Natalia Goñi has authored 12 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 5 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in Natalia Goñi's work include Influenza Virus Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and vaccines and immunoinformatics approaches (3 papers). Natalia Goñi is often cited by papers focused on Influenza Virus Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and vaccines and immunoinformatics approaches (3 papers). Natalia Goñi collaborates with scholars based in Uruguay and Ecuador. Natalia Goñi's co-authors include Héctor Chiparelli, Juan Cristina, Gonzalo Moratorio, María José Rivas, José Russi, Miguel Alegretti, Cristina Mogdasy, Rodney Colina, Gonzalo Tomás and Ruben Pérez and has published in prestigious journals such as PLoS ONE, Virus Research and Archives of Virology.

In The Last Decade

Natalia Goñi

10 papers receiving 73 citations

Peers

Natalia Goñi

EPIDE

ASZ

ECOLO

Fawzi Derrar Algeria

Lauren Baracco United States

Zikai Xiong China

Dominika Bielak United States

Massimo Francalancia Italy

Anastasija Čupić United States

Krithika Muthuraman Canada

Christin Mache Germany

Leila Issmail Germany

Robert Vendramelli Canada

Fawzi Derrar Algeria

Natalia Goñi

57 ×1.3

30 ×0.9

EPIDE

9 ×0.4

ASZ

22 ×1.1

4 ×0.7

ECOLO

Citations per year, relative to Natalia Goñi Natalia Goñi (= 1×) peers Fawzi Derrar

Countries citing papers authored by Natalia Goñi

Since Specialization

Citations

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

Fields of papers citing papers by Natalia Goñi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Goñi

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

All Works

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12 of 12 papers shown

Bruno, Alfredo, Natalia Goñi, & Juan Cristina. (2023). Spatial, temporal and evolutionary insight into seasonal epidemic Influenza A virus strains near the equatorial line: The case of Ecuador. Virus Research. 326. 199051–199051. 1 indexed citations

Ramos, Natália, Yanina Panzera, Sandra Frabasile, et al.. (2023). A multiplex-NGS approach to identifying respiratory RNA viruses during the COVID-19 pandemic. Archives of Virology. 168(3). 87–87. 6 indexed citations

Panzera, Yanina, Lucía Calleros, Natalia Goñi, et al.. (2022). Consecutive deletions in a unique Uruguayan SARS-CoV-2 lineage evidence the genetic variability potential of accessory genes. PLoS ONE. 17(2). e0263563–e0263563. 7 indexed citations

Panzera, Yanina, Ana Marandino, Lucía Calleros, et al.. (2022). Emergence and spreading of the largest SARS-CoV-2 deletion in the Delta AY.20 lineage from Uruguay. Gene Reports. 29. 101703–101703. 1 indexed citations

Panzera, Yanina, Natalia Goñi, Lucía Calleros, et al.. (2021). Genome Sequences of SARS-CoV-2 P.1 (Variant of Concern) and P.2 (Variant of Interest) Identified in Uruguay. Microbiology Resource Announcements. 10(21). e0041021–e0041021. 8 indexed citations

Panzera, Yanina, Natália Ramos, Sandra Frabasile, et al.. (2021). A deletion in SARS‐CoV‐2 ORF7 identified in COVID‐19 outbreak in Uruguay. Transboundary and Emerging Diseases. 68(6). 3075–3082. 19 indexed citations

Rivas, María José, et al.. (2020). Epidemiology and Genetic Variability of Circulating Influenza B Viruses in Uruguay, 2012–2019. Microorganisms. 8(4). 591–591. 12 indexed citations

Goñi, Natalia, et al.. (2012). Bayesian coalescent analysis of pandemic H1N1 influenza A virus circulating in the South American region. Virus Research. 170(1-2). 91–101. 2 indexed citations

Goñi, Natalia, et al.. (2010). Phylogenetic analysis of pandemic 2009 influenza A virus circulating in the South American region: genetic relationships and vaccine strain match. Archives of Virology. 156(1). 87–94. 7 indexed citations

10.

Goñi, Natalia, Álvaro Fajardo, Gonzalo Moratorio, Rodney Colina, & Juan Cristina. (2009). Modeling gene sequences over time in 2009 H1N1 Influenza A Virus populations. Virology Journal. 6(1). 215–215. 8 indexed citations

11.

Goñi, Natalia, José Russi, & Juan Cristina. (2008). Human influenza A viruses isolated in South America: Genetic relations, adamantane resistance and vaccine strain match. Infection Genetics and Evolution. 9(2). 229–234. 4 indexed citations

12.

Goñi, Natalia, et al.. (2006). Influenza B viruses isolated in Uruguay during the 2002–2005 seasons: Genetic relations and vaccine strain match. Virus Research. 123(1). 100–104. 1 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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