Steven D. Rawles

2.4k total citations
74 papers, 2.0k citations indexed

About

Steven D. Rawles is a scholar working on Aquatic Science, Immunology and Physiology. According to data from OpenAlex, Steven D. Rawles has authored 74 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Aquatic Science, 42 papers in Immunology and 33 papers in Physiology. Recurrent topics in Steven D. Rawles's work include Aquaculture Nutrition and Growth (64 papers), Aquaculture disease management and microbiota (42 papers) and Reproductive biology and impacts on aquatic species (33 papers). Steven D. Rawles is often cited by papers focused on Aquaculture Nutrition and Growth (64 papers), Aquaculture disease management and microbiota (42 papers) and Reproductive biology and impacts on aquatic species (33 papers). Steven D. Rawles collaborates with scholars based in United States, India and Indonesia. Steven D. Rawles's co-authors include T. Gibson Gaylord, Delbert M. Gatlin, Carl D. Webster, Rebecca Lochmann, Kenneth R. Thompson, Frederic T. Barrows, Bartholomew W. Green, Ruguang Chen, Bobban Subhadra and Edwin H. Robinson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Aquaculture and Journal of Food Science.

In The Last Decade

Steven D. Rawles

71 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven D. Rawles United States 27 1.6k 1.0k 564 281 257 74 2.0k
Alessio Bonaldo Italy 25 1.3k 0.8× 814 0.8× 404 0.7× 206 0.7× 270 1.1× 85 1.8k
Eleni Fountoulaki Greece 21 1.5k 0.9× 859 0.8× 479 0.8× 646 2.3× 268 1.0× 37 2.1k
Yannis Kotzamanis Greece 21 1.3k 0.8× 804 0.8× 500 0.9× 199 0.7× 153 0.6× 44 1.7k
Débora Machado Fracalossi Brazil 29 1.7k 1.1× 992 1.0× 508 0.9× 144 0.5× 162 0.6× 103 2.0k
Ana Tomás‐Vidal Spain 24 1.4k 0.8× 804 0.8× 491 0.9× 143 0.5× 235 0.9× 80 1.7k
Michael Penn Norway 28 2.5k 1.6× 2.0k 2.0× 785 1.4× 139 0.5× 505 2.0× 43 2.9k
Kai Song China 24 1.4k 0.9× 1.1k 1.0× 225 0.4× 196 0.7× 214 0.8× 75 1.9k
Pier Paolo Gatta Italy 27 1.3k 0.8× 864 0.8× 407 0.7× 116 0.4× 533 2.1× 76 2.0k
Inês Guerreiro Portugal 24 1.1k 0.7× 823 0.8× 179 0.3× 314 1.1× 122 0.5× 53 1.4k
Gongshe Hu United States 15 1.7k 1.0× 1.1k 1.0× 664 1.2× 130 0.5× 210 0.8× 53 2.7k

Countries citing papers authored by Steven D. Rawles

Since Specialization
Citations

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

Fields of papers citing papers by Steven D. Rawles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven D. Rawles

This figure shows the co-authorship network connecting the top 25 collaborators of Steven D. Rawles. A scholar is included among the top collaborators of Steven D. Rawles 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 Steven D. Rawles. Steven D. Rawles 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.
Andersen, Linnea K., et al.. (2025). Analysis of Striped Bass (Morone saxatilis) and White Bass (M. chrysops) Splenic Transcriptome Following Streptococcus iniae Infection. Marine Biotechnology. 27(2). 51–51. 1 indexed citations
2.
Romano, Nicholas, Pande Gde Sasmita Julyantoro, Amit Kumar Sinha, et al.. (2025). Preliminary assessment of the nutritive value of dietary exuviae from black soldier fly (Hermetia illucens) pupae in Mozambique tilapia. Journal of the World Aquaculture Society. 56(3).
3.
Fuller, S. Adam, Jason Abernathy, Benjamin H. Beck, et al.. (2024). Hepatic transcriptome analyses of juvenile white bass (Morone chrysops) when fed diets where fish meal is partially or totally replaced by alternative protein sources. Frontiers in Physiology. 14. 1308690–1308690.
4.
Lochmann, Rebecca, et al.. (2023). Digestibility of Conventional and Novel Dietary Lipids in Channel Catfish Ictalurus punctatus. Animals. 13(9). 1456–1456. 3 indexed citations
5.
Romano, Nicholas, Carl D. Webster, Pande Gde Sasmita Julyantoro, et al.. (2023). Black Soldier Fly (Hermetia illucens) Frass on Sweet-Potato (Ipomea batatas) Slip Production with Aquaponics. Horticulturae. 9(10). 1088–1088. 5 indexed citations
6.
Ray, Candis L., Jason Abernathy, Bartholomew W. Green, et al.. (2023). Effect of dietary phytase on water and fecal prokaryotic and eukaryotic microbiomes in a hybrid tilapia (Oreochromis aureus x O. niloticus) mixotrophic biofloc production system. Aquaculture. 581. 740433–740433. 3 indexed citations
7.
Green, Bartholomew W., et al.. (2019). Comparison of unused water and year-old used water for production of channel catfish in the biofloc technology system. Aquaculture. 519. 734739–734739. 11 indexed citations
8.
9.
Fuller, S. Adam, et al.. (2017). White Bass (Morone chrysops) Preferentially Retain n‐3 PUFA in Ova When Fed Prepared Diets with Varying FA Content. Lipids. 52(10). 823–836. 2 indexed citations
10.
11.
Beck, Benjamin H., S. Adam Fuller, Chao Li, et al.. (2016). Hepatic transcriptomic and metabolic responses of hybrid striped bass (Morone saxatilis×Morone chrysops) to acute and chronic hypoxic insult. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 18. 1–9. 12 indexed citations
12.
Farmer, Bradley D., Benjamin H. Beck, Andrew J. Mitchell, Steven D. Rawles, & David L. Straus. (2016). Dietary copper effects survival of channel catfish challenged with Flavobacterium columnare. Aquaculture Research. 48(4). 1751–1758. 9 indexed citations
13.
Rawles, Steven D., et al.. (2012). Response of sunshine bass (<i>Morone chrysops x M. saxatilis</i>) to digestible\nprotein/ dietary lipid density and ration size at summer culture\ntemperatures in the Southern United States. Insecta mundi. 12 indexed citations
14.
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16.
Gaylord, T. Gibson, Steven D. Rawles, & Kenneth B. Davis. (2005). Dietary tryptophan requirement of hybrid striped bass (Morone chrysops x M. saxatilis). Aquaculture Nutrition. 11(5). 367–374. 46 indexed citations
17.
Lochmann, Rebecca, Harold Phillips, Siddhartha Dasgupta, Delbert M. Gatlin, & Steven D. Rawles. (2001). Stable Car bon Iso tope Ratios and Stan dard Pro duction Data as Indices of Golden Shiner,Notemigonus crysoleucas, Per for mance in Pond Feed ing Trials. Journal of Applied Aquaculture. 11(3). 21–34. 2 indexed citations
18.
Büyükateş, Yeşim, Steven D. Rawles, & Delbert M. Gatlin. (2000). Phosphorus Fractions of Various Feedstuffs and Apparent Phosphorus Availability to Channel Catfish. North American Journal of Aquaculture. 62(3). 184–188. 13 indexed citations
19.
Rawles, Steven D., et al.. (1997). Dietary Supplementation of Terramycin and Romet‐30 Does Not Enhance Growth of Channel Catfish But Does Influence Tissue Residues. Journal of the World Aquaculture Society. 28(4). 392–401. 28 indexed citations
20.
Du, Wenjie, Maurice R. Marshall, Willis B. Wheeler, et al.. (1995). Oxytetracycline, Sulfadimethoxine, and Ormetoprim Residues in Channel Catfish by HPLC. Journal of Food Science. 60(6). 1220–1224. 11 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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