Carl D. Webster

5.0k total citations
137 papers, 3.8k citations indexed

About

Carl D. Webster is a scholar working on Aquatic Science, Immunology and Physiology. According to data from OpenAlex, Carl D. Webster has authored 137 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Aquatic Science, 45 papers in Immunology and 40 papers in Physiology. Recurrent topics in Carl D. Webster's work include Aquaculture Nutrition and Growth (113 papers), Aquaculture disease management and microbiota (44 papers) and Reproductive biology and impacts on aquatic species (40 papers). Carl D. Webster is often cited by papers focused on Aquaculture Nutrition and Growth (113 papers), Aquaculture disease management and microbiota (44 papers) and Reproductive biology and impacts on aquatic species (40 papers). Carl D. Webster collaborates with scholars based in United States, India and Indonesia. Carl D. Webster's co-authors include James H. Tidwell, Kenneth R. Thompson, Daniel H. Yancey, Shawn D. Coyle, Chhorn Lim, Laura A. Muzinic, Ann L. Gannam, Steven D. Rawles, Laura G. Tiu and Linda S. Metts and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Aquaculture.

In The Last Decade

Carl D. Webster

132 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carl D. Webster United States 33 3.1k 1.5k 908 739 544 137 3.8k
T. Gibson Gaylord United States 29 4.0k 1.3× 2.4k 1.6× 1.6k 1.8× 298 0.4× 500 0.9× 75 4.5k
Frederic T. Barrows United States 33 4.5k 1.5× 2.7k 1.8× 1.8k 2.0× 674 0.9× 527 1.0× 124 5.8k
Francisco Javier Moyano Spain 40 3.9k 1.3× 2.1k 1.4× 1.4k 1.6× 843 1.1× 544 1.0× 158 4.9k
G.-I. HEMRE Norway 34 3.6k 1.2× 2.5k 1.6× 1.2k 1.3× 497 0.7× 378 0.7× 59 4.2k
Ian Forster Canada 27 3.5k 1.1× 1.8k 1.2× 817 0.9× 711 1.0× 347 0.6× 67 4.1k
Jesse Trushenski United States 34 3.2k 1.0× 2.1k 1.4× 1.5k 1.6× 471 0.6× 327 0.6× 142 4.1k
Helena Perés Portugal 42 4.5k 1.5× 2.9k 1.9× 1.5k 1.7× 673 0.9× 650 1.2× 166 5.7k
Sang‐Min Lee South Korea 29 3.1k 1.0× 1.8k 1.2× 1.2k 1.4× 198 0.3× 291 0.5× 226 3.6k
Katheline Hua Canada 16 2.0k 0.7× 986 0.6× 578 0.6× 276 0.4× 172 0.3× 21 2.5k
Brett Glencross Australia 45 5.8k 1.9× 3.1k 2.0× 1.9k 2.1× 1.0k 1.4× 988 1.8× 166 6.8k

Countries citing papers authored by Carl D. Webster

Since Specialization
Citations

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

Fields of papers citing papers by Carl D. Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl D. Webster

This figure shows the co-authorship network connecting the top 25 collaborators of Carl D. Webster. A scholar is included among the top collaborators of Carl D. Webster 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 Carl D. Webster. Carl D. Webster 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.
Yildirim‐Aksoy, Mediha, et al.. (2025). Soybean hull-based binders: Evaluation of growth and potential health benefits in Pacific white shrimp, Litopenaeus vannamei. Aquaculture Reports. 45. 103096–103096.
2.
Robinson, Kelsy, José L. Ramírez, Lee W. Cohnstaedt, et al.. (2024). MINIstock: Model for INsect Inclusion in sustainable agriculture: USDA-ARS’s research approach to advancing insect meal development and inclusion in animal diets. Journal of Economic Entomology. 117(4). 1199–1209. 2 indexed citations
4.
Thompson, Kenneth R., et al.. (2024). Integrating Aquaculture to Support STEM Education: A Qualitative Assessment to Identify High School Students’ Attitudes, Interests, and Experiences. SHILAP Revista de lepidopterología. 35(2). 133–142. 2 indexed citations
5.
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.
6.
Webster, Carl D. & B. B. Jana. (2024). Sustainable Aquaculture. 1 indexed citations
8.
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
9.
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
11.
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
12.
Lange, Miles D. & Carl D. Webster. (2017). The effect of temperature on the mucosal IgM antibody response to DNP-KLH in channel catfish (Ictalurus punctatus). Fish & Shellfish Immunology. 70. 493–497. 11 indexed citations
13.
Lange, Miles D., et al.. (2016). Missing the target: DNAk is a dominant epitope in the humoral immune response of channel catfish (Ictalurus punctatus) to Flavobacterium columnare. Fish & Shellfish Immunology. 51. 170–179. 6 indexed citations
14.
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
15.
Webster, Carl D., et al.. (2014). Optimization of Dietary Protein in All Male Nile Tilapia (Oreochromis niloticus) Reared in Inland Saline Water. Animal Nutrition and Feed Technology. 14(1). 91–99. 12 indexed citations
17.
Chen, Gang, Youling L. Xiong, Baohua Kong, et al.. (2007). Microbiological and Physicochemical Properties of Red Claw Crayfish ( Cherax quadricarinatus ) Stored in Different Package Systems at 2 °C. Journal of Food Science. 72(8). E442–9. 16 indexed citations
18.
Lim, Chhorn & Carl D. Webster. (2006). Tilapia : biology, culture, and nutrition. 201 indexed citations
19.
Thompson, Kenneth R., Linda S. Metts, Laura A. Muzinic, Siddhartha Dasgupta, & Carl D. Webster. (2006). Effects of feeding practical diets containing different protein levels, with or without fish meal, on growth, survival, body composition and processing traits of male and female Australian red claw crayfish (Cherax quadricarinatus) grown in ponds. Aquaculture Nutrition. 12(3). 227–238. 43 indexed citations
20.
Kong, Baohua, Youling L. Xiong, Kenneth R. Thompson, et al.. (2006). Influence of Gender and Spawning on Meat Quality of Australian Red Claw Crayfish ( Cherax quadricarinatus ) Stored at 2 °C. Journal of Food Science. 71(6). 31 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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