Curtis E. Lind

809 total citations
24 papers, 618 citations indexed

About

Curtis E. Lind is a scholar working on Aquatic Science, Genetics and Global and Planetary Change. According to data from OpenAlex, Curtis E. Lind has authored 24 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Aquatic Science, 12 papers in Genetics and 9 papers in Global and Planetary Change. Recurrent topics in Curtis E. Lind's work include Aquaculture Nutrition and Growth (12 papers), Genetic and phenotypic traits in livestock (9 papers) and Marine Bivalve and Aquaculture Studies (8 papers). Curtis E. Lind is often cited by papers focused on Aquaculture Nutrition and Growth (12 papers), Genetic and phenotypic traits in livestock (9 papers) and Marine Bivalve and Aquaculture Studies (8 papers). Curtis E. Lind collaborates with scholars based in Australia, Malaysia and Ireland. Curtis E. Lind's co-authors include Brad S. Evans, Dean R. Jerry, Joseph J. Taylor, Nguyen Hong Nguyen, RW Ponzoni, John Benzie, Jens Knauer, R. W. Ponzoni, R.E. Brummett and Wagdy Mekkawy and has published in prestigious journals such as Scientific Reports, Molecular Ecology and Aquaculture.

In The Last Decade

Curtis E. Lind

21 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Curtis E. Lind Australia 13 366 254 212 182 139 24 618
Pedro Cruz‐Hernández Mexico 15 295 0.8× 180 0.7× 397 1.9× 284 1.6× 85 0.6× 44 701
Florence Cornette France 9 194 0.5× 169 0.7× 377 1.8× 197 1.1× 58 0.4× 21 526
Nigel P. Preston Australia 18 527 1.4× 202 0.8× 203 1.0× 319 1.8× 91 0.7× 27 827
Dina A. Proestou United States 13 127 0.3× 189 0.7× 271 1.3× 249 1.4× 100 0.7× 23 757
Brad S. Evans Australia 16 413 1.1× 381 1.5× 434 2.0× 261 1.4× 219 1.6× 39 966
Ruihai Yu China 17 352 1.0× 237 0.9× 532 2.5× 238 1.3× 48 0.3× 65 825
Louis V. Plough United States 15 180 0.5× 164 0.6× 331 1.6× 242 1.3× 62 0.4× 36 600
Zhiqian Liu China 3 329 0.9× 511 2.0× 103 0.5× 134 0.7× 149 1.1× 14 802
Hye Suck An South Korea 14 221 0.6× 371 1.5× 202 1.0× 148 0.8× 91 0.7× 78 643
Minoru Ikeda Japan 15 217 0.6× 362 1.4× 125 0.6× 207 1.1× 112 0.8× 59 633

Countries citing papers authored by Curtis E. Lind

Since Specialization
Citations

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

Fields of papers citing papers by Curtis E. Lind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Curtis E. Lind. 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 Curtis E. Lind. The network helps show where Curtis E. Lind may publish in the future.

Co-authorship network of co-authors of Curtis E. Lind

This figure shows the co-authorship network connecting the top 25 collaborators of Curtis E. Lind. A scholar is included among the top collaborators of Curtis E. Lind 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 Curtis E. Lind. Curtis E. Lind 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.
Carvalheiro, Roberto, Wagdy Mekkawy, Scott D. Cooper, et al.. (2025). Quantitative genetic and genomic analyses of summer and post-summer survival in Tasmanian Atlantic salmon (Salmo salar). Aquaculture. 603. 742241–742241.
2.
3.
Carvalheiro, Roberto, Wagdy Mekkawy, Richard Taylor, et al.. (2024). Selection for heat tolerance in Atlantic salmon (Salmo salar) using reaction norms. Aquaculture. 596. 741753–741753. 4 indexed citations
4.
Carvalheiro, Roberto, Richard Taylor, Wagdy Mekkawy, et al.. (2023). Probabilistic reaction norm reveals family‐related variation in the association between size, condition, and sexual maturation onset in Atlantic salmon (Salmo salar). Journal of Fish Biology. 104(4). 939–949. 2 indexed citations
5.
Hamilton, Matthew G., et al.. (2020). Distinguishing Between Nile Tilapia Strains Using a Low-Density Single-Nucleotide Polymorphism Panel. Frontiers in Genetics. 11. 594722–594722. 12 indexed citations
6.
Jones, David B., et al.. (2020). Pipette and paper: Combining molecular and genealogical methods to assess a Nile tilapia (Oreochromis niloticus) breeding program. Aquaculture. 523. 735171–735171. 5 indexed citations
7.
Lind, Curtis E., et al.. (2019). Genetic diversity of Nile tilapia (Oreochromis niloticus) throughout West Africa. Scientific Reports. 9(1). 16767–16767. 45 indexed citations
8.
Lind, Curtis E., et al.. (2019). Data from: Genetic diversity of Nile tilapia (Oreochromis niloticus) throughout West Africa. Socio-Environmental Systems Modeling. 1 indexed citations
9.
Kijas, James, Alejandro P. Gutiérrez, Ross D. Houston, et al.. (2019). Assessment of genetic diversity and population structure in cultured Australian Pacific oysters. Animal Genetics. 50(6). 686–694. 11 indexed citations
10.
Agha, Saif, Wagdy Mekkawy, Noelia Ibáñez‐Escriche, et al.. (2018). Breeding for robustness: investigating the genotype‐by‐environment interaction and micro‐environmental sensitivity of Genetically Improved Farmed Tilapia (Oreochromis niloticus). Animal Genetics. 49(5). 421–427. 16 indexed citations
11.
Verdal, Hugues de, et al.. (2016). Measuring individual feed efficiency and its correlations with performance traits in Nile tilapia, Oreochromis niloticus. Aquaculture. 468. 489–495. 46 indexed citations
12.
Lind, Curtis E., F. Y. K. Attipoe, Gamal Othman El-Naggar, et al.. (2015). Differences in sexual size dimorphism among farmed tilapia species and strains undergoing genetic improvement for body weight. Aquaculture Reports. 1. 20–27. 32 indexed citations
13.
Lind, Curtis E., et al.. (2012). Selective Breeding in Fish and Conservation of Genetic Resources for Aquaculture. Reproduction in Domestic Animals. 47(s4). 255–263. 89 indexed citations
14.
Lind, Curtis E., R.E. Brummett, & R. W. Ponzoni. (2012). Exploitation and conservation of fish genetic resources in Africa: issues and priorities for aquaculture development and research. Reviews in Aquaculture. 4(3). 125–141. 50 indexed citations
15.
Lind, Curtis E., Brad S. Evans, Martin S. Elphinstone, Joseph J. Taylor, & Dean R. Jerry. (2012). Phylogeography of a pearl oyster (Pinctada maxima) across the Indo-Australian Archipelago: evidence of strong regional structure and population expansions but no phylogenetic breaks. Biological Journal of the Linnean Society. 107(3). 632–646. 7 indexed citations
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Lind, Curtis E., Brad S. Evans, Jens Knauer, Joseph J. Taylor, & Dean R. Jerry. (2008). Decreased genetic diversity and a reduced effective population size in cultured silver-lipped pearl oysters (Pinctada maxima). Aquaculture. 286(1-2). 12–19. 100 indexed citations
19.
Lind, Curtis E., Brad S. Evans, Joseph J. Taylor, & Dean R. Jerry. (2007). Population genetics of a marine bivalve,Pinctada maxima, throughout the Indo‐Australian Archipelago shows differentiation and decreased diversity at range limits. Molecular Ecology. 16(24). 5193–5203. 46 indexed citations
20.
Lind, Curtis E., Ravi Fotedar, & Shahid Mahboob. (2004). Growth, survival and morphometric measurements of malabar grouper (Epinephelus malabaricus) larvae when co-fed Artemia and an artificial diet. Pakistan Journal of Zoology. 36(2). 89–101. 2 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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