Victoria Best

14 papers and 118 indexed citations i.

About

Victoria Best is a scholar working on Epidemiology, Literature and Literary Theory and History. According to data from OpenAlex, Victoria Best has authored 14 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 3 papers in Literature and Literary Theory and 3 papers in History. Recurrent topics in Victoria Best’s work include French Historical and Cultural Studies (2 papers), Pneumonia and Respiratory Infections (1 paper) and Literature, Film, and Journalism Analysis (1 paper). Victoria Best is often cited by papers focused on French Historical and Cultural Studies (2 papers), Pneumonia and Respiratory Infections (1 paper) and Literature, Film, and Journalism Analysis (1 paper). Victoria Best collaborates with scholars based in United Kingdom and United States. Victoria Best's co-authors include Amy Hollywood, Lynne Huffer, Diana Knight, Judith Still, Alex Hughes, Fiona Lugg‐Widger, Fiona Wood, Adrian Edwards, Melissa Moore‐Clingenpeel and Octavio Ramilo and has published in prestigious journals such as BMJ Open, Signs and British Journal of General Practice.

In The Last Decade

Co-authorship network of co-authors of Victoria Best i

Fields of papers citing papers by Victoria Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Victoria Best

Since Specialization
Citations

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