Selene Manga

1.4k total citations
5 papers, 116 citations indexed

About

Selene Manga is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Selene Manga has authored 5 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Epidemiology and 2 papers in Modeling and Simulation. Recurrent topics in Selene Manga's work include Tuberculosis Research and Epidemiology (3 papers), COVID-19 epidemiological studies (2 papers) and Infectious Diseases and Tuberculosis (1 paper). Selene Manga is often cited by papers focused on Tuberculosis Research and Epidemiology (3 papers), COVID-19 epidemiological studies (2 papers) and Infectious Diseases and Tuberculosis (1 paper). Selene Manga collaborates with scholars based in Peru, Italy and Nigeria. Selene Manga's co-authors include Delia Goletti, Giovanni Battista Migliori, Davide Manissero, Denise Rossato Silva, Lia D’Ambrosio and Massimo Amicosante and has published in prestigious journals such as European Respiratory Review, Journal of Thoracic Disease and Pulmonology.

In The Last Decade

Selene Manga

5 papers receiving 108 citations

Peers

Selene Manga
Selene Manga
Citations per year, relative to Selene Manga Selene Manga (= 1×) peers Aurélien Marc

Countries citing papers authored by Selene Manga

Since Specialization
Citations

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

Fields of papers citing papers by Selene Manga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Selene Manga

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

All Works

5 of 5 papers shown
1.
Manga, Selene. (2021). TB research and innovation in Latin America. European Respiratory Review. 30(159). 200107–200107. 1 indexed citations
2.
Goletti, Delia, et al.. (2018). Managing latent tuberculosis infection and tuberculosis in children. Pulmonology. 24(2). 106–114. 40 indexed citations
4.
Manga, Selene, et al.. (2013). MATHEMATICAL MODEL FOR CONTROL OF MEASLES EPIDEMIOLOGY. International Journal of Pure and Apllied Mathematics. 87(5). 61 indexed citations
5.
Manga, Selene, et al.. (2013). MODELLING THE EFFECT OF VACCINATION ON THE TRANSMISSION DYNAMICS OF MEASLES. International Journal of Pure and Apllied Mathematics. 88(3). 10 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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