Myra T. Blanchard

63 total papers · 650 total citations
33 papers, 431 citations indexed

About

Myra T. Blanchard is a scholar working on Ecology, Evolution, Behavior and Systematics, Immunology and Agronomy and Crop Science. According to data from OpenAlex, Myra T. Blanchard has authored 33 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, Evolution, Behavior and Systematics, 10 papers in Immunology and 8 papers in Agronomy and Crop Science. Recurrent topics in Myra T. Blanchard's work include Vector-Borne Animal Diseases (10 papers), Aquaculture disease management and microbiota (6 papers) and Immune Response and Inflammation (6 papers). Myra T. Blanchard is often cited by papers focused on Vector-Borne Animal Diseases (10 papers), Aquaculture disease management and microbiota (6 papers) and Immune Response and Inflammation (6 papers). Myra T. Blanchard collaborates with scholars based in United States, Taiwan and France. Myra T. Blanchard's co-authors include Jeffrey L. Stott, Brian Aldridge, Tatjana Sitt, Laurel J. Gershwin, Lizabeth Bowen, Margaret Lavinia Anderson, Mark R. Hall, David A. Ferrick, Sylvain De Guise and Karen L. Erickson and has published in prestigious journals such as Scientific Reports, Annals of the New York Academy of Sciences and Journal of Clinical Microbiology.

In The Last Decade

Myra T. Blanchard

32 papers receiving 411 citations

Author Peers

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

Author Last Decade Papers Cites
Myra T. Blanchard 132 107 85 85 62 33 431
Brandon N. Lillie 159 1.2× 38 0.4× 18 0.2× 77 0.9× 74 1.2× 59 493
Akinyi C. Nyaoke 101 0.8× 77 0.7× 26 0.3× 36 0.4× 40 0.6× 27 470
David C. Bolin 41 0.3× 69 0.6× 66 0.8× 48 0.6× 59 1.0× 17 377
Susan Hemsley 95 0.7× 71 0.7× 26 0.3× 49 0.6× 53 0.9× 24 400
Yutaka Fujimoto 64 0.5× 101 0.9× 149 1.8× 41 0.5× 50 0.8× 36 476
Lucienne Garcia Pretto‐Giordano 177 1.3× 27 0.3× 30 0.4× 95 1.1× 52 0.8× 40 434
J. Ortega 38 0.3× 55 0.5× 39 0.5× 55 0.6× 116 1.9× 40 465
Fernanda Castillo‐Alcala 96 0.7× 68 0.6× 16 0.2× 39 0.5× 127 2.0× 34 406
Roberto Aguilar 64 0.5× 70 0.7× 40 0.5× 22 0.3× 56 0.9× 26 384
Omid Nekouei 277 2.1× 61 0.6× 126 1.5× 183 2.2× 19 0.3× 53 487

Countries citing papers authored by Myra T. Blanchard

Since Specialization
Citations

This map shows the geographic impact of Myra T. Blanchard'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 Myra T. Blanchard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myra T. Blanchard more than expected).

Fields of papers citing papers by Myra T. Blanchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Myra T. Blanchard. 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 Myra T. Blanchard. The network helps show where Myra T. Blanchard may publish in the future.

Co-authorship network of co-authors of Myra T. Blanchard

This figure shows the co-authorship network connecting the top 25 collaborators of Myra T. Blanchard. A scholar is included among the top collaborators of Myra T. Blanchard 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 Myra T. Blanchard. Myra T. Blanchard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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