Tony Reglinski

66 total papers · 1.4k total citations
50 papers, 1.0k citations indexed

About

Tony Reglinski is a scholar working on Plant Science, Cell Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Tony Reglinski has authored 50 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 20 papers in Cell Biology and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Tony Reglinski's work include Plant Pathogens and Fungal Diseases (20 papers), Plant-Microbe Interactions and Immunity (19 papers) and Plant Pathogenic Bacteria Studies (10 papers). Tony Reglinski is often cited by papers focused on Plant Pathogens and Fungal Diseases (20 papers), Plant-Microbe Interactions and Immunity (19 papers) and Plant Pathogenic Bacteria Studies (10 papers). Tony Reglinski collaborates with scholars based in New Zealand, United Kingdom and Malaysia. Tony Reglinski's co-authors include P.A.G. Elmer, A. C. Newton, J. T. Taylor, G. D. Lyon, T.M. Spiers, P.N. Wood, Kirstin Wurms, J.L. Vanneste, Nick Gould and Grant L. Northcott and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Frontiers in Plant Science.

In The Last Decade

Tony Reglinski

50 papers receiving 930 citations

Author Peers

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

Author Last Decade Papers Cites
Tony Reglinski 835 402 168 160 113 50 1.0k
Robert A. Spotts 964 1.2× 673 1.7× 185 1.1× 231 1.4× 40 0.4× 47 1.1k
Nabil Radouane 892 1.1× 390 1.0× 163 1.0× 60 0.4× 65 0.6× 53 1.1k
P. Chowdappa 732 0.9× 318 0.8× 187 1.1× 114 0.7× 35 0.3× 56 983
Xuehong Wu 892 1.1× 427 1.1× 132 0.8× 227 1.4× 34 0.3× 71 1.0k
J. M. Ogawa 648 0.8× 384 1.0× 118 0.7× 225 1.4× 29 0.3× 42 830
P.A.G. Elmer 796 1.0× 475 1.2× 112 0.7× 328 2.0× 29 0.3× 47 924
R. A. Spotts 1.0k 1.2× 670 1.7× 145 0.9× 222 1.4× 30 0.3× 65 1.1k
P.D. Hildebrand 746 0.9× 242 0.6× 131 0.8× 125 0.8× 34 0.3× 49 971
Maria G. Li Destri Nicosia 699 0.8× 496 1.2× 168 1.0× 80 0.5× 49 0.4× 32 893
Ximena Besoaín 731 0.9× 388 1.0× 237 1.4× 66 0.4× 128 1.1× 81 942

Countries citing papers authored by Tony Reglinski

Since Specialization
Citations

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

Fields of papers citing papers by Tony Reglinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tony Reglinski

This figure shows the co-authorship network connecting the top 25 collaborators of Tony Reglinski. A scholar is included among the top collaborators of Tony Reglinski 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 Tony Reglinski. Tony Reglinski 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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