J D Oliver

21 total papers · 734 total citations
14 papers, 557 citations indexed

About

J D Oliver is a scholar working on Endocrinology, Immunology and Molecular Biology. According to data from OpenAlex, J D Oliver has authored 14 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in J D Oliver's work include Vibrio bacteria research studies (9 papers), Aquaculture disease management and microbiota (6 papers) and Salmonella and Campylobacter epidemiology (3 papers). J D Oliver is often cited by papers focused on Vibrio bacteria research studies (9 papers), Aquaculture disease management and microbiota (6 papers) and Salmonella and Campylobacter epidemiology (3 papers). J D Oliver collaborates with scholars based in United States, Spain and Italy. J D Oliver's co-authors include Elena G. Biosca, Carmen Amaro, Linda M. Simpson, Diane McDougald, A C Wright, J. Glenn Morris, Ester Marco‐Noales, D.M. Roberts, R J Siebeling and Brett Froelich and has published in prestigious journals such as Applied and Environmental Microbiology, Marine Ecology Progress Series and FEMS Microbiology Letters.

In The Last Decade

J D Oliver

14 papers receiving 516 citations

Author Peers

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

Author Last Decade Papers Cites
J D Oliver 402 289 189 129 104 14 557
H B Bradford 439 1.1× 269 0.9× 132 0.7× 165 1.3× 69 0.7× 15 646
R J Siebeling 501 1.2× 385 1.3× 154 0.8× 186 1.4× 112 1.1× 29 661
Anna Pianetti 302 0.8× 250 0.9× 127 0.7× 99 0.8× 91 0.9× 23 560
T. N. Bryant 387 1.0× 357 1.2× 257 1.4× 104 0.8× 128 1.2× 22 641
Nipa Choopun 492 1.2× 286 1.0× 106 0.6× 129 1.0× 73 0.7× 7 569
O. P. Daily 256 0.6× 400 1.4× 142 0.8× 73 0.6× 121 1.2× 14 628
Rachel Rangdale 353 0.9× 309 1.1× 95 0.5× 152 1.2× 79 0.8× 15 630
Lise Høi 451 1.1× 527 1.8× 186 1.0× 142 1.1× 103 1.0× 11 685
Annick Robert-Pillot 465 1.2× 372 1.3× 165 0.9× 172 1.3× 36 0.3× 13 519
Pendru Raghunath 458 1.1× 383 1.3× 185 1.0× 127 1.0× 110 1.1× 19 603

Countries citing papers authored by J D Oliver

Since Specialization
Citations

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

Fields of papers citing papers by J D Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J D Oliver. 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 J D Oliver. The network helps show where J D Oliver may publish in the future.

Co-authorship network of co-authors of J D Oliver

This figure shows the co-authorship network connecting the top 25 collaborators of J D Oliver. A scholar is included among the top collaborators of J D Oliver 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 J D Oliver. J D Oliver 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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