David A.J. Stone

3.3k total citations
69 papers, 2.6k citations indexed

About

David A.J. Stone is a scholar working on Aquatic Science, Immunology and Physiology. According to data from OpenAlex, David A.J. Stone has authored 69 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Aquatic Science, 32 papers in Immunology and 26 papers in Physiology. Recurrent topics in David A.J. Stone's work include Aquaculture Nutrition and Growth (65 papers), Aquaculture disease management and microbiota (32 papers) and Reproductive biology and impacts on aquatic species (26 papers). David A.J. Stone is often cited by papers focused on Aquaculture Nutrition and Growth (65 papers), Aquaculture disease management and microbiota (32 papers) and Reproductive biology and impacts on aquatic species (26 papers). David A.J. Stone collaborates with scholars based in Australia, United States and United Kingdom. David A.J. Stone's co-authors include Geoff L. Allan, Jian G. Qin, Matthew S. Bansemer, Gordon S. Howarth, Ronald W. Hardy, Frederic T. Barrows, Jenna N. Bowyer, James O. Harris, Scott Parkinson and Stuart J. Rowland and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Frontiers in Microbiology.

In The Last Decade

David A.J. Stone

68 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David A.J. Stone Australia 28 2.2k 1.3k 752 529 371 69 2.6k
Mark A. Booth Australia 27 2.1k 1.0× 1.2k 0.9× 766 1.0× 227 0.4× 331 0.9× 56 2.4k
Sang‐Min Lee South Korea 29 3.1k 1.4× 1.8k 1.4× 1.2k 1.7× 308 0.6× 198 0.5× 226 3.6k
Ewen McLean United States 29 2.1k 0.9× 1.1k 0.8× 805 1.1× 230 0.4× 375 1.0× 115 2.8k
Marı́a Teresa Viana Mexico 30 1.8k 0.8× 1.0k 0.8× 389 0.5× 707 1.3× 352 0.9× 117 2.5k
Kenji Takii Japan 25 1.8k 0.8× 1.0k 0.8× 768 1.0× 216 0.4× 245 0.7× 118 2.1k
Barbara Grisdale‐Helland Norway 31 2.5k 1.1× 1.6k 1.2× 926 1.2× 251 0.5× 375 1.0× 48 2.8k
Chhorn Lim United States 33 2.9k 1.3× 2.0k 1.5× 694 0.9× 192 0.4× 425 1.1× 72 3.3k
G.-I. HEMRE Norway 34 3.6k 1.6× 2.5k 1.9× 1.2k 1.5× 295 0.6× 497 1.3× 59 4.2k
Miguel Á. Olvera‐Novoa Mexico 24 1.8k 0.8× 953 0.7× 282 0.4× 273 0.5× 385 1.0× 74 2.2k
Ramón Fontanillas Norway 30 1.8k 0.8× 1.3k 1.0× 642 0.9× 156 0.3× 342 0.9× 89 2.3k

Countries citing papers authored by David A.J. Stone

Since Specialization
Citations

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

Fields of papers citing papers by David A.J. Stone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A.J. Stone. 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 David A.J. Stone. The network helps show where David A.J. Stone may publish in the future.

Co-authorship network of co-authors of David A.J. Stone

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

All Works

20 of 20 papers shown
1.
Harris, James O., et al.. (2024). Liver structure and function in yellowtail kingfish, Seriola lalandi, in response to alternative oils in feed. Aquaculture. 594. 741379–741379. 2 indexed citations
2.
Bansemer, Matthew S., et al.. (2024). Colour change of greenlip abalone, Haliotis Laevigata Donovan, fed dried macroalgae meals in concurrent laboratory and on‐farm trials. New Zealand Journal of Marine and Freshwater Research. 59(1). 101–129.
3.
Bansemer, Matthew S., Michael Salini, Leo Nankervis, & David A.J. Stone. (2023). Reducing dietary wild derived fishmeal inclusion levels in production diets for large yellowtail kingfish (Seriola lalandi). Aquaculture. 572. 739487–739487. 6 indexed citations
4.
Bansemer, Matthew S., Michael Salini, Jian G. Qin, et al.. (2023). Digestive enzymes of postweaned greenlip abalone ( Haliotis laevigata ) are influenced by water temperatures and dietary protein levels. SHILAP Revista de lepidopterología. 4(1). 2 indexed citations
5.
Stone, David A.J., et al.. (2020). ‘Energy budgets for greenlip abalone ( Haliotis laevigata Donovan) fed live macroalgae compared to commercial formulated diets’. Aquaculture Research. 51(12). 4948–4960. 3 indexed citations
7.
Legrand, Thibault P. R. A., Sarah R. Catalano, Melissa L. Wos‐Oxley, et al.. (2018). The Inner Workings of the Outer Surface: Skin and Gill Microbiota as Indicators of Changing Gut Health in Yellowtail Kingfish. Frontiers in Microbiology. 8. 2664–2664. 141 indexed citations
8.
Bansemer, Matthew S., et al.. (2018). Dietary inclusion of Acti-Meal improves growth and feed utilisation of greenlip abalone (Haliotis laevigata). Aquaculture. 498. 364–370. 9 indexed citations
11.
Mitchell, James G., et al.. (2013). Experimental Evaluation of Fatty Acid Profiles as a Technique to Determine Dietary Composition in Benthic Elasmobranchs. Physiological and Biochemical Zoology. 86(2). 266–278. 26 indexed citations
13.
Tu, Wei‐Chun, Beverly S. Mühlhäusler, Michael J. James, David A.J. Stone, & Robert A. Gibson. (2012). Dietary alpha-linolenic acid does not enhance accumulation of omega-3 long-chain polyunsaturated fatty acids in barramundi (Lates calcarifer). Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 164(1). 29–37. 16 indexed citations
14.
Bowyer, Jenna N., Nathan Rout-Pitt, Peter A. Bain, David A.J. Stone, & Kathryn A. Schuller. (2012). Dietary fish oil replacement with canola oil up-regulates glutathione peroxidase 1 gene expression in yellowtail kingfish (Seriola lalandi). Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 162(4). 100–106. 18 indexed citations
15.
Tu, Wei‐Chun, Beverly S. Mühlhäusler, Michael J. James, David A.J. Stone, & Robert A. Gibson. (2012). An alternative n-3 fatty acid elongation pathway utilising 18:3n-3 in barramundi (Lates calcarifer). Biochemical and Biophysical Research Communications. 423(1). 176–182. 14 indexed citations
16.
Tu, Wei‐Chun, Rebecca J. Cook‐Johnson, Michael J. James, et al.. (2012). Barramundi (Lates calcarifer) desaturase with Δ6/Δ8 dual activities. Biotechnology Letters. 34(7). 1283–1296. 19 indexed citations
17.
Bowyer, Jenna N., Jian G. Qin, Richard P. Smullen, et al.. (2012). The use of a soy product in juvenile yellowtail kingfish (Seriola lalandi) feeds at different water temperatures: 1. Solvent extracted soybean meal. Aquaculture. 384-387. 35–45. 35 indexed citations
18.
Sealey, Wendy M., Ronald W. Hardy, Frederic T. Barrows, Qing Pan, & David A.J. Stone. (2011). Evaluation of 100% Fish Meal Substitution with Chicken Concentrate, Protein Poultry By‐Product Blend, and Chicken and Egg Concentrate on Growth and Disease Resistance of Juvenile Rainbow Trout, Oncorhynchus mykiss. Journal of the World Aquaculture Society. 42(1). 46–55. 33 indexed citations
20.
Barrows, Frederic T., David A.J. Stone, & Ronald W. Hardy. (2007). The effects of extrusion conditions on the nutritional value of soybean meal for rainbow trout (Oncorhynchus mykiss). Aquaculture. 265(1-4). 244–252. 108 indexed citations

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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