Natalie E. Dean

59 papers and 3.1k indexed citations i.

About

Natalie E. Dean is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology. According to data from OpenAlex, Natalie E. Dean has authored 59 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Infectious Diseases, 31 papers in Modeling and Simulation and 12 papers in Epidemiology. Recurrent topics in Natalie E. Dean’s work include COVID-19 epidemiological studies (31 papers), SARS-CoV-2 and COVID-19 Research (23 papers) and Viral Infections and Outbreaks Research (13 papers). Natalie E. Dean is often cited by papers focused on COVID-19 epidemiological studies (31 papers), SARS-CoV-2 and COVID-19 Research (23 papers) and Viral Infections and Outbreaks Research (13 papers). Natalie E. Dean collaborates with scholars based in United States, United Kingdom and Italy. Natalie E. Dean's co-authors include Ira M. Longini, M. Elizabeth Halloran, Zachary J. Madewell, Yang Yang, Alessandro Vespignani, Marc Lipsitch, Ana Pastore y Piontti, Stefano Merler, Matteo Chinazzi and Marco Ajelli and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Co-authorship network of co-authors of Natalie E. Dean i

Fields of papers citing papers by Natalie E. Dean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Natalie E. Dean

Since Specialization
Citations

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