M.G. Ercilla

18 papers and 387 indexed citations i.

About

M.G. Ercilla is a scholar working on Epidemiology, Immunology and Hepatology. According to data from OpenAlex, M.G. Ercilla has authored 18 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 7 papers in Immunology and 6 papers in Hepatology. Recurrent topics in M.G. Ercilla’s work include Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (5 papers) and T-cell and B-cell Immunology (4 papers). M.G. Ercilla is often cited by papers focused on Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (5 papers) and T-cell and B-cell Immunology (4 papers). M.G. Ercilla collaborates with scholars based in Spain and Japan. M.G. Ercilla's co-authors include J.M. Barrera, J Rodés, J Terés, Carmen Herrero, Asunción Vicente, Raimón Sanmartí, Odette Viñas, Juan D. Cañete, Eduard Graell and Ivonne Vázquez and has published in prestigious journals such as The Lancet, Annals of Internal Medicine and Journal of Clinical Microbiology.

In The Last Decade

Co-authorship network of co-authors of M.G. Ercilla i

Fields of papers citing papers by M.G. Ercilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.G. Ercilla. 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 M.G. Ercilla. The network helps show where M.G. Ercilla may publish in the future.

Countries citing papers authored by M.G. Ercilla

Since Specialization
Citations

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

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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