Natalie Pica

21 papers and 2.6k indexed citations i.

About

Natalie Pica is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Natalie Pica has authored 21 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 10 papers in Immunology and 4 papers in Infectious Diseases. Recurrent topics in Natalie Pica’s work include Influenza Virus Research Studies (16 papers), Respiratory viral infections research (13 papers) and Immune Response and Inflammation (5 papers). Natalie Pica is often cited by papers focused on Influenza Virus Research Studies (16 papers), Respiratory viral infections research (13 papers) and Immune Response and Inflammation (5 papers). Natalie Pica collaborates with scholars based in United States, Vietnam and Italy. Natalie Pica's co-authors include Peter Palese, Rong Hai, Nicole M. Bouvier, Florian Krammer, Gene S. Tan, Irina Margine, Thomas M. Moran, Taia T. Wang, Florence T. Bourgeois and Adolfo García‐Sastre and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PEDIATRICS.

In The Last Decade

Co-authorship network of co-authors of Natalie Pica i

Fields of papers citing papers by Natalie Pica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Natalie Pica

Since Specialization
Citations

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