Danièlle Gunn‐Moore

157 papers and 3.1k indexed citations i.

About

Danièlle Gunn‐Moore is a scholar working on Small Animals, Epidemiology and Genetics. According to data from OpenAlex, Danièlle Gunn‐Moore has authored 157 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Small Animals, 48 papers in Epidemiology and 44 papers in Genetics. Recurrent topics in Danièlle Gunn‐Moore’s work include Veterinary Medicine and Surgery (40 papers), Mycobacterium research and diagnosis (37 papers) and Human-Animal Interaction Studies (29 papers). Danièlle Gunn‐Moore is often cited by papers focused on Veterinary Medicine and Surgery (40 papers), Mycobacterium research and diagnosis (37 papers) and Human-Animal Interaction Studies (29 papers). Danièlle Gunn‐Moore collaborates with scholars based in United Kingdom, United States and Czechia. Danièlle Gunn‐Moore's co-authors include Kerry Simpson, Nicki Reed, Tim Gruffydd-Jones, Darren J. Shaw, Séverine Tasker, D. A. Harbour, Günther Strehlau, Jonathan N. King, Marie Cameron and Sarah Caney and has published in prestigious journals such as Nature, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Danièlle Gunn‐Moore i

Fields of papers citing papers by Danièlle Gunn‐Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danièlle Gunn‐Moore. 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 Danièlle Gunn‐Moore. The network helps show where Danièlle Gunn‐Moore may publish in the future.

Countries citing papers authored by Danièlle Gunn‐Moore

Since Specialization
Citations

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