Yniv Palti

8.2k total citations
101 papers, 4.5k citations indexed

About

Yniv Palti is a scholar working on Genetics, Immunology and Aquatic Science. According to data from OpenAlex, Yniv Palti has authored 101 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Genetics, 54 papers in Immunology and 27 papers in Aquatic Science. Recurrent topics in Yniv Palti's work include Aquaculture disease management and microbiota (49 papers), Genetic and phenotypic traits in livestock (45 papers) and Aquaculture Nutrition and Growth (27 papers). Yniv Palti is often cited by papers focused on Aquaculture disease management and microbiota (49 papers), Genetic and phenotypic traits in livestock (45 papers) and Aquaculture Nutrition and Growth (27 papers). Yniv Palti collaborates with scholars based in United States, Israel and France. Yniv Palti's co-authors include Caird E. Rexroad, Roger L. Vallejo, Gregory D. Wiens, Guangtu Gao, Timothy D. Leeds, Sixin Liu, Gary H. Thorgaard, James E. Parsons, Scott A. Gahr and Eric M. Hallerman and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Yniv Palti

98 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yniv Palti United States 41 2.4k 2.1k 1.3k 745 555 101 4.5k
Gregory D. Wiens United States 33 2.4k 1.0× 832 0.4× 769 0.6× 740 1.0× 325 0.6× 95 3.4k
Roger L. Vallejo United States 29 955 0.4× 1.6k 0.7× 753 0.6× 454 0.6× 294 0.5× 63 2.6k
Geoffrey C. Waldbieser United States 31 1.3k 0.6× 595 0.3× 687 0.5× 791 1.1× 228 0.4× 94 2.6k
Jørgen Ødegård Norway 34 1.1k 0.4× 1.8k 0.8× 1.1k 0.8× 213 0.3× 492 0.9× 123 3.2k
Edwige Quillet France 38 1.5k 0.6× 1.7k 0.8× 2.1k 1.6× 499 0.7× 930 1.7× 118 4.2k
Nobuaki Okamoto Japan 30 1.5k 0.7× 1.3k 0.6× 1.1k 0.9× 690 0.9× 291 0.5× 116 3.3k
Teruyuki Nakanishi Japan 44 4.4k 1.9× 354 0.2× 884 0.7× 644 0.9× 214 0.4× 161 5.3k
Timothy D. Leeds United States 25 794 0.3× 1.1k 0.5× 731 0.6× 264 0.4× 259 0.5× 77 2.0k
Stewart C. Johnson Canada 38 2.4k 1.0× 294 0.1× 1.3k 1.0× 598 0.8× 479 0.9× 89 4.1k
José M. Yáñez Chile 32 959 0.4× 1.8k 0.9× 1.2k 0.9× 317 0.4× 501 0.9× 119 2.8k

Countries citing papers authored by Yniv Palti

Since Specialization
Citations

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

Fields of papers citing papers by Yniv Palti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yniv Palti. 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 Yniv Palti. The network helps show where Yniv Palti may publish in the future.

Co-authorship network of co-authors of Yniv Palti

This figure shows the co-authorship network connecting the top 25 collaborators of Yniv Palti. A scholar is included among the top collaborators of Yniv Palti 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 Yniv Palti. Yniv Palti 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.
Ali, Ali, Guangtu Gao, Rafet Al-Tobasei, et al.. (2025). Chromosome level genome assembly and annotation of the Swanson rainbow trout homozygous line. Scientific Data. 12(1). 345–345.
2.
Vallejo, Roger L., Guangtu Gao, S. Tsuruta, et al.. (2024). Genetic architecture and accuracy of predicted genomic breeding values for sea lice resistance in the St John River aquaculture strain of North American Atlantic salmon. Aquaculture. 586. 740819–740819. 4 indexed citations
5.
Gao, Guangtu, Susana Magadán, Geoffrey C. Waldbieser, et al.. (2021). A long reads-based de-novo assembly of the genome of the Arlee homozygous line reveals chromosomal rearrangements in rainbow trout. G3 Genes Genomes Genetics. 11(4). 48 indexed citations
6.
Evenhuis, Jason P., Roger L. Vallejo, Guangtu Gao, et al.. (2019). Whole-genome mapping of quantitative trait loci and accuracy of genomic predictions for resistance to columnaris disease in two rainbow trout breeding populations. Genetics Selection Evolution. 51(1). 42–42. 32 indexed citations
7.
Salem, Mohamed, Rafet Al-Tobasei, Ali Ali, et al.. (2018). Genome-Wide Association Analysis With a 50K Transcribed Gene SNP-Chip Identifies QTL Affecting Muscle Yield in Rainbow Trout. Frontiers in Genetics. 9. 387–387. 40 indexed citations
8.
Vallejo, Roger L., Sixin Liu, Guangtu Gao, et al.. (2017). Similar Genetic Architecture with Shared and Unique Quantitative Trait Loci for Bacterial Cold Water Disease Resistance in Two Rainbow Trout Breeding Populations. Frontiers in Genetics. 8. 156–156. 57 indexed citations
9.
González-Peña, Dianelys, Guangtu Gao, Matthew Baranski, et al.. (2016). Genome-Wide Association Study for Identifying Loci that Affect Fillet Yield, Carcass, and Body Weight Traits in Rainbow Trout (Oncorhynchus mykiss). Frontiers in Genetics. 7. 203–203. 103 indexed citations
10.
Liu, Sixin, Guangtu Gao, Yniv Palti, et al.. (2014). RNA-seq Analysis of Early Hepatic Response to Handling and Confinement Stress in Rainbow Trout. PLoS ONE. 9(2). e88492–e88492. 49 indexed citations
11.
Wolters, William R., Gary Burr, Yniv Palti, & Roger L. Vallejo. (2013). Phenotypic and Genetic Variation in Two North American Arctic Charr, Salvelinus alpinus, Stocks Cultured in a Recirculating Aquaculture System. Journal of the World Aquaculture Society. 44(4). 473–485. 6 indexed citations
12.
Genêt, Carine, Patrice Déhais, Yniv Palti, et al.. (2011). Analysis of BAC-end sequences in rainbow trout: Content characterization and assessment of synteny between trout and other fish genomes. BMC Genomics. 12(1). 314–314. 23 indexed citations
13.
14.
Rexroad, Caird E., et al.. (2009). Single nucleotide polymorphism identification, genetic mapping and tissue expression of the rainbow trout TLR9 gene. Animal Genetics. 40(6). 1001–1001. 15 indexed citations
15.
Danin‐Poleg, Yael, et al.. (2006). Towards the definition of pathogenic microbe. International Journal of Food Microbiology. 112(3). 236–243. 6 indexed citations
16.
Rexroad, Caird E., María Fernanda Rodríguez, Issa Coulibaly, et al.. (2005). Comparative mapping of expressed sequence tags containing microsatellites in rainbow trout (Oncorhynchus mykiss). BMC Genomics. 6(1). 54–54. 49 indexed citations
17.
Danin‐Poleg, Yael, et al.. (2005). Amplified Intergenic Locus Polymorphism as a Basis for Bacterial Typing of Listeria spp. and Escherichia coli. Applied and Environmental Microbiology. 71(6). 3144–3152. 9 indexed citations
18.
Palti, Yniv, Scott A. Gahr, John D. Hansen, & Caird E. Rexroad. (2004). Characterization of a new BAC library for rainbow trout: evidence for multi‐locus duplication. Animal Genetics. 35(2). 130–133. 58 indexed citations
19.
Rexroad, Caird E. & Yniv Palti. (2003). Development of Ninety‐Seven Polymorphic Microsatellite Markers for Rainbow Trout. Transactions of the American Fisheries Society. 132(6). 1214–1221. 24 indexed citations
20.
Thorgaard, Gary H., George Bailey, David E. Williams, et al.. (2002). Status and opportunities for genomics research with rainbow trout. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 133(4). 609–646. 193 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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