Fenella Long

9 papers and 342 indexed citations i.

About

Fenella Long is a scholar working on Epidemiology, Molecular Biology and Surgery. According to data from OpenAlex, Fenella Long has authored 9 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Fenella Long’s work include Virology and Viral Diseases (3 papers), Animal Disease Management and Epidemiology (2 papers) and Influenza Virus Research Studies (2 papers). Fenella Long is often cited by papers focused on Virology and Viral Diseases (3 papers), Animal Disease Management and Epidemiology (2 papers) and Influenza Virus Research Studies (2 papers). Fenella Long collaborates with scholars based in United States, Australia and Singapore. Fenella Long's co-authors include Deborah Middleton, Lin‐Fa Wang, Rachel Arkinstall, Glenn A. Marsh, Ben Z. Stanger, Scott Troutman, Freddy Radtke, Anil K. Rustgi, Joseph L. Kissil and Linda Hanlon and has published in prestigious journals such as PLoS ONE, Cancer Research and Journal of Virology.

In The Last Decade

Co-authorship network of co-authors of Fenella Long i

Fields of papers citing papers by Fenella Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fenella Long

Since Specialization
Citations

This map shows the geographic impact of Fenella Long'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 Fenella Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fenella Long 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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2025