Daniel Mair

7 papers and 137 indexed citations i.

About

Daniel Mair is a scholar working on Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Daniel Mair has authored 7 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ecology, Evolution, Behavior and Systematics, 4 papers in Agronomy and Crop Science and 4 papers in Infectious Diseases. Recurrent topics in Daniel Mair’s work include Animal Disease Management and Epidemiology (4 papers), Vector-Borne Animal Diseases (4 papers) and Viral Infections and Vectors (2 papers). Daniel Mair is often cited by papers focused on Animal Disease Management and Epidemiology (4 papers), Vector-Borne Animal Diseases (4 papers) and Viral Infections and Vectors (2 papers). Daniel Mair collaborates with scholars based in United Kingdom, United States and France. Daniel Mair's co-authors include Ana da Silva Filipe, Alain Kohl, Andres Merits, Nicolás M. Suárez, Oscar A. MacLean, Wilhelm Furnon, Arthur Wickenhagen, Agnieszka M. Szemiel, Sainan Wang and Emma C. Thomson and has published in prestigious journals such as PLoS Pathogens, PLoS neglected tropical diseases and Viruses.

In The Last Decade

Co-authorship network of co-authors of Daniel Mair i

Fields of papers citing papers by Daniel Mair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Mair

Since Specialization
Citations

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