Diego Robledo

4.0k total citations · 1 hit paper
92 papers, 2.3k citations indexed

About

Diego Robledo is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, Diego Robledo has authored 92 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Immunology, 36 papers in Genetics and 27 papers in Molecular Biology. Recurrent topics in Diego Robledo's work include Aquaculture disease management and microbiota (40 papers), Aquaculture Nutrition and Growth (24 papers) and Genetic and phenotypic traits in livestock (16 papers). Diego Robledo is often cited by papers focused on Aquaculture disease management and microbiota (40 papers), Aquaculture Nutrition and Growth (24 papers) and Genetic and phenotypic traits in livestock (16 papers). Diego Robledo collaborates with scholars based in United Kingdom, Spain and Norway. Diego Robledo's co-authors include Ross D. Houston, Paulino Martı́nez, Alastair Hamilton, Christos Palaiokostas, Daniel J. Macqueen, Luca Bargelloni, Belén G. Pardo, Ye Jin, Ana Viñas and Oswald Matika and has published in prestigious journals such as PLoS ONE, Nature Reviews Genetics and Scientific Reports.

In The Last Decade

Diego Robledo

81 papers receiving 2.2k citations

Hit Papers

Harnessing genomics to fast-track genetic improvement in ... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Robledo United Kingdom 26 1.1k 791 746 558 345 92 2.3k
Belén G. Pardo Spain 28 878 0.8× 632 0.8× 577 0.8× 593 1.1× 349 1.0× 92 2.1k
Alastair Hamilton United Kingdom 27 1.2k 1.1× 786 1.0× 706 0.9× 389 0.7× 206 0.6× 44 2.3k
Thomas Moen Norway 24 1.5k 1.4× 740 0.9× 566 0.8× 535 1.0× 291 0.8× 40 2.3k
Yanliang Jiang China 22 616 0.6× 552 0.7× 793 1.1× 492 0.9× 294 0.9× 50 1.8k
Matthew Baranski Norway 19 1.0k 0.9× 804 1.0× 715 1.0× 326 0.6× 263 0.8× 36 1.9k
Huseyin Kucuktas United States 33 930 0.8× 651 0.8× 1.6k 2.1× 937 1.7× 371 1.1× 63 3.0k
Zexia Gao China 24 565 0.5× 728 0.9× 613 0.8× 565 1.0× 286 0.8× 106 1.8k
Grace Lin Singapore 23 708 0.6× 637 0.8× 460 0.6× 501 0.9× 185 0.5× 40 1.6k
Changwei Shao China 25 1.5k 1.4× 600 0.8× 497 0.7× 926 1.7× 315 0.9× 134 2.7k
Mohamed Salem United States 30 615 0.6× 850 1.1× 757 1.0× 823 1.5× 359 1.0× 66 2.3k

Countries citing papers authored by Diego Robledo

Since Specialization
Citations

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

Fields of papers citing papers by Diego Robledo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Robledo

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Robledo. A scholar is included among the top collaborators of Diego Robledo 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 Diego Robledo. Diego Robledo 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.
Chi, Yong, Clémence Fraslin, Robert Mukiibi, et al.. (2025). First genome-wide association and genomic prediction of ammonia‑nitrogen tolerance in tiger pufferfish (Takifugu rubripes). Aquaculture. 600. 742260–742260.
2.
González‐Gómez, Manuel A., David Polo, Alberto Cuesta, et al.. (2025). Comparative Analysis of CRISPR/Cas9 Delivery Methods in Marine Teleost Cell Lines. International Journal of Molecular Sciences. 26(21). 10703–10703.
3.
Salisbury, Sarah J., Paula R. Villamayor, Francesco Lamanna, et al.. (2025). A single-nucleus RNA sequencing atlas of the postnatal retina of the shark Scyliorhinus canicula. Scientific Data. 12(1). 228–228.
5.
Rodríguez, María Esther, Alberto Arias‐Pérez, Robert Mukiibi, et al.. (2025). Insights into Solea senegalensis Reproduction Through Gonadal Tissue Methylation Analysis and Transcriptomic Integration. Biomolecules. 15(1). 54–54. 1 indexed citations
6.
Ibarra, Ana M., et al.. (2025). Advances in genetic and genomic resources in Pacific whiteleg shrimp Penaeus vannamei: Towards modern and sustainable shrimp aquaculture. Latin American Journal of Aquatic Research. 53(1). 1–21. 1 indexed citations
8.
Gundappa, Manu Kumar, Diego Robledo, Alastair Hamilton, et al.. (2025). High performance imputation of structural and single nucleotide variants using low-coverage whole genome sequencing. Genetics Selection Evolution. 57(1). 16–16. 1 indexed citations
9.
Li, Yangzhen, Clémence Fraslin, Yong Chi, et al.. (2024). A newly developed 20 K SNP array reveals QTLs for disease resistance to Cryptocaryon irritans in tiger pufferfish (Takifugu rubripes). Aquaculture. 595. 741652–741652. 4 indexed citations
11.
Robinson, Nicholas A., Tone‐Kari Østbye, Anne Kettunen, et al.. (2023). A guide to assess the use of gene editing in aquaculture. Reviews in Aquaculture. 16(2). 775–784. 20 indexed citations
12.
Sveen, Lene, Nicholas A. Robinson, Aleksei Krasnov, et al.. (2023). Transcriptomic landscape of Atlantic salmon (Salmo salar L.) skin. G3 Genes Genomes Genetics. 13(11). 6 indexed citations
13.
Tsairidou, Smaragda, Clémence Fraslin, Gregor Gorjanc, et al.. (2023). Evaluation of low-density SNP panels and imputation for cost-effective genomic selection in four aquaculture species. Frontiers in Genetics. 14. 1194266–1194266. 18 indexed citations
14.
Daniels, Rose Ruiz, Richard S. Taylor, Ross Dobie, et al.. (2023). A versatile nuclei extraction protocol for single nucleus sequencing in non-model species–Optimization in various Atlantic salmon tissues. PLoS ONE. 18(9). e0285020–e0285020. 5 indexed citations
15.
Mukiibi, Robert, Carolina Peñaloza, Alejandro P. Gutiérrez, et al.. (2022). The impact of Piscirickettsia salmonis infection on genome-wide DNA methylation profile in Atlantic Salmon. Genomics. 114(6). 110503–110503. 13 indexed citations
16.
Robledo, Diego, Sylvie Mazan, Laura Sánchez, et al.. (2021). Loss of Active Neurogenesis in the Adult Shark Retina. Frontiers in Cell and Developmental Biology. 9. 628721–628721. 12 indexed citations
17.
Sobrido‐Cameán, Daniel, Luis Alfonso Yáñez-Guerra, Diego Robledo, et al.. (2019). Cholecystokinin in the central nervous system of the sea lamprey Petromyzon marinus: precursor identification and neuroanatomical relationships with other neuronal signalling systems. Brain Structure and Function. 225(1). 249–284. 15 indexed citations
18.
Sobrido‐Cameán, Daniel, Diego Robledo, Laura Sánchez, Marı́a Celina Rodicio, & Antón Barreiro‐Iglesias. (2019). Serotonin inhibits axonal regeneration of identifiable descending neurons after a complete spinal cord injury in lampreys. Disease Models & Mechanisms. 12(2). 13 indexed citations
19.
Robledo, Diego, Alejandro P. Gutiérrez, Agustin Barría, José M. Yáñez, & Ross D. Houston. (2018). Gene Expression Response to Sea Lice in Atlantic Salmon Skin: RNA Sequencing Comparison Between Resistant and Susceptible Animals. Frontiers in Genetics. 9. 287–287. 36 indexed citations
20.
Viñas, Ana, et al.. (2012). Mapping of DNA Sex-Specific Markers and Genes Related to Sex Differentiation in Turbot (Scophthalmus maximus). Marine Biotechnology. 14(5). 655–663. 42 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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