Christie Mayo

64 total papers · 974 total citations
46 papers, 659 citations indexed

About

Christie Mayo is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Infectious Diseases. According to data from OpenAlex, Christie Mayo has authored 46 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Agronomy and Crop Science, 37 papers in Ecology, Evolution, Behavior and Systematics and 31 papers in Infectious Diseases. Recurrent topics in Christie Mayo's work include Vector-Borne Animal Diseases (37 papers), Animal Disease Management and Epidemiology (37 papers) and Viral Infections and Vectors (25 papers). Christie Mayo is often cited by papers focused on Vector-Borne Animal Diseases (37 papers), Animal Disease Management and Epidemiology (37 papers) and Viral Infections and Vectors (25 papers). Christie Mayo collaborates with scholars based in United States, South Africa and Canada. Christie Mayo's co-authors include Ν. James MacLachlan, Bradley A. Mullens, Ian A. Gardner, Alec C. Gerry, Emily G McDermott, Justin Lee, Christopher M. Barker, E. P. J. Gibbs, Giovanni Savini and P.W. Daniels and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Clinical Microbiology.

In The Last Decade

Christie Mayo

42 papers receiving 647 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Christie Mayo 543 491 423 159 39 46 659
A. J. Luedke 534 1.0× 449 0.9× 334 0.8× 140 0.9× 25 0.6× 40 616
A. L. Dyce 634 1.2× 369 0.8× 383 0.9× 252 1.6× 82 2.1× 37 779
Ottavio Portanti 302 0.6× 282 0.6× 381 0.9× 125 0.8× 62 1.6× 42 703
Heinzpeter Schwermer 299 0.6× 391 0.8× 243 0.6× 70 0.4× 64 1.6× 50 579
Valérie Chaignat 669 1.2× 629 1.3× 519 1.2× 161 1.0× 27 0.7× 21 758
Anna Janowicz 333 0.6× 295 0.6× 357 0.8× 80 0.5× 24 0.6× 27 679
E M Nevill 470 0.9× 351 0.7× 292 0.7× 178 1.1× 48 1.2× 32 600
A.A. de Koeijer 317 0.6× 362 0.7× 323 0.8× 78 0.5× 99 2.5× 44 713
Hiroaki Shirafuji 556 1.0× 323 0.7× 625 1.5× 189 1.2× 130 3.3× 52 757
Marylène Tignon 407 0.7× 492 1.0× 255 0.6× 46 0.3× 37 0.9× 43 683

Countries citing papers authored by Christie Mayo

Since Specialization
Citations

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

Fields of papers citing papers by Christie Mayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christie Mayo

This figure shows the co-authorship network connecting the top 25 collaborators of Christie Mayo. A scholar is included among the top collaborators of Christie Mayo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christie Mayo. Christie Mayo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026