Patricia M. Day

56 papers and 4.8k indexed citations i.

About

Patricia M. Day is a scholar working on Epidemiology, Immunology and Genetics. According to data from OpenAlex, Patricia M. Day has authored 56 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Epidemiology, 22 papers in Immunology and 22 papers in Genetics. Recurrent topics in Patricia M. Day’s work include Cervical Cancer and HPV Research (26 papers), Virus-based gene therapy research (21 papers) and Herpesvirus Infections and Treatments (11 papers). Patricia M. Day is often cited by papers focused on Cervical Cancer and HPV Research (26 papers), Virus-based gene therapy research (21 papers) and Herpesvirus Infections and Treatments (11 papers). Patricia M. Day collaborates with scholars based in United States, Germany and Switzerland. Patricia M. Day's co-authors include John T. Schiller, Douglas R. Lowy, Cynthia D. Thompson, Rhonda C. Kines, Richard B.S. Roden, Christopher B. Buck, Mario Schelhaas, Yuk‐Ying S. Pang, Rebecca M. Richards and Ari Helenius and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Co-authorship network of co-authors of Patricia M. Day i

Fields of papers citing papers by Patricia M. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Patricia M. Day

Since Specialization
Citations

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