R. L. Thune

25 total papers · 716 total citations
24 papers, 582 citations indexed

About

R. L. Thune is a scholar working on Immunology, Endocrinology and Aquatic Science. According to data from OpenAlex, R. L. Thune has authored 24 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 7 papers in Endocrinology and 5 papers in Aquatic Science. Recurrent topics in R. L. Thune's work include Aquaculture disease management and microbiota (21 papers), Vibrio bacteria research studies (7 papers) and Aquaculture Nutrition and Growth (4 papers). R. L. Thune is often cited by papers focused on Aquaculture disease management and microbiota (21 papers), Vibrio bacteria research studies (7 papers) and Aquaculture Nutrition and Growth (4 papers). R. L. Thune collaborates with scholars based in United States, Thailand and Egypt. R. L. Thune's co-authors include Mark L. Lawrence, Richard K. Cooper, Terry E. Graham, Deborah Finco‐Kent, D. Fernandez, L A Collins, L Riddle, Donald J. Chabot, J. A. Plumb and Melissa M. Moore and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Bacteriology and Infection and Immunity.

In The Last Decade

R. L. Thune

24 papers receiving 555 citations

Author Peers

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

Author Last Decade Papers Cites
R. L. Thune 496 198 136 122 83 24 582
Carmen Ravelo 475 1.0× 171 0.9× 130 1.0× 115 0.9× 74 0.9× 18 581
Andrew Dacanay 396 0.8× 179 0.9× 159 1.2× 92 0.8× 129 1.6× 14 605
D. H. McCarthy 537 1.1× 136 0.7× 141 1.0× 276 2.3× 139 1.7× 22 641
Bjørn Brudeseth 497 1.0× 103 0.5× 92 0.7× 140 1.1× 78 0.9× 12 550
Takamitsu Sakai 566 1.1× 193 1.0× 174 1.3× 105 0.9× 134 1.6× 46 686
N Gudkovs 416 0.8× 85 0.4× 119 0.9× 71 0.6× 107 1.3× 28 516
Yuhao Dong 374 0.8× 192 1.0× 234 1.7× 93 0.8× 169 2.0× 35 693
W. D. Paterson 454 0.9× 87 0.4× 105 0.8× 155 1.3× 159 1.9× 20 533
Robert R. Rucker 353 0.7× 105 0.5× 129 0.9× 104 0.9× 110 1.3× 26 650
Daiku K. SAKAI 472 1.0× 103 0.5× 107 0.8× 173 1.4× 106 1.3× 26 556

Countries citing papers authored by R. L. Thune

Since Specialization
Citations

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

Fields of papers citing papers by R. L. Thune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. L. Thune. 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 R. L. Thune. The network helps show where R. L. Thune may publish in the future.

Co-authorship network of co-authors of R. L. Thune

This figure shows the co-authorship network connecting the top 25 collaborators of R. L. Thune. A scholar is included among the top collaborators of R. L. Thune 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 R. L. Thune. R. L. Thune 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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