M. Mingarro

977 total citations
8 papers, 862 citations indexed

About

M. Mingarro is a scholar working on Aquatic Science, Immunology and Physiology. According to data from OpenAlex, M. Mingarro has authored 8 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Aquatic Science, 5 papers in Immunology and 3 papers in Physiology. Recurrent topics in M. Mingarro's work include Aquaculture Nutrition and Growth (6 papers), Aquaculture disease management and microbiota (5 papers) and Reproductive biology and impacts on aquatic species (3 papers). M. Mingarro is often cited by papers focused on Aquaculture Nutrition and Growth (6 papers), Aquaculture disease management and microbiota (5 papers) and Reproductive biology and impacts on aquatic species (3 papers). M. Mingarro collaborates with scholars based in Spain, France and United Kingdom. M. Mingarro's co-authors include Jaume Pérez‐Sánchez, Josep À. Calduch-Giner, Pedro Gómez‐Requeni, Sadasivam Kaushik, Samuel Martín, Françoise Médale, D. F. Houlihan, Antonio Astola, Manuel M. Valdivia and Carlos Pendón and has published in prestigious journals such as Aquaculture, General and Comparative Endocrinology and Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology.

In The Last Decade

M. Mingarro

8 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Mingarro Spain 8 688 408 319 146 146 8 862
Antonio Astola Spain 17 453 0.7× 230 0.6× 258 0.8× 203 1.4× 137 0.9× 30 826
K. Mol Belgium 17 718 1.0× 254 0.6× 379 1.2× 231 1.6× 213 1.5× 24 1.0k
Anna Caseras Spain 9 559 0.8× 354 0.9× 214 0.7× 174 1.2× 40 0.3× 9 667
Matthew E. Picha United States 11 445 0.6× 185 0.5× 219 0.7× 143 1.0× 159 1.1× 14 749
Karine Dias France 20 684 1.0× 454 1.1× 182 0.6× 181 1.2× 34 0.2× 34 1.0k
P.K. Reddy Canada 18 458 0.7× 212 0.5× 277 0.9× 255 1.7× 107 0.7× 22 694
T. A. Anderson Australia 19 519 0.8× 259 0.6× 152 0.5× 250 1.7× 47 0.3× 32 793
J. Brèque France 10 681 1.0× 424 1.0× 244 0.8× 213 1.5× 35 0.2× 11 813
Marine Lansard France 8 690 1.0× 480 1.2× 232 0.7× 157 1.1× 26 0.2× 8 849
Pierre Aguirre France 14 560 0.8× 320 0.8× 223 0.7× 143 1.0× 23 0.2× 25 688

Countries citing papers authored by M. Mingarro

Since Specialization
Citations

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

Fields of papers citing papers by M. Mingarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Mingarro

This figure shows the co-authorship network connecting the top 25 collaborators of M. Mingarro. A scholar is included among the top collaborators of M. Mingarro 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 M. Mingarro. M. Mingarro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Ballester‐Lozano, Gabriel F., Laura Benedito‐Palos, M. Mingarro, Juan Carlos Navarro, & Jaume Pérez‐Sánchez. (2014). Up-scaling validation of a dummy regression approach for predictive modelling the fillet fatty acid composition of cultured European sea bass (Dicentrarchus labrax). Aquaculture Research. 47(4). 1067–1074. 9 indexed citations
2.
Calduch-Giner, Josep À., et al.. (2003). Molecular cloning and characterization of gilthead sea bream (Sparus aurata) growth hormone receptor (GHR). Assessment of alternative splicing. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 136(1). 1–13. 68 indexed citations
3.
Gómez‐Requeni, Pedro, M. Mingarro, Séverine Kirchner, et al.. (2003). Effects of dietary amino acid profile on growth performance, key metabolic enzymes and somatotropic axis responsiveness of gilthead sea bream (Sparus aurata). Aquaculture. 220(1-4). 749–767. 145 indexed citations
4.
Gómez‐Requeni, Pedro, M. Mingarro, Josep À. Calduch-Giner, et al.. (2003). Protein growth performance, amino acid utilisation and somatotropic axis responsiveness to fish meal replacement by plant protein sources in gilthead sea bream (Sparus aurata). Aquaculture. 232(1-4). 493–510. 382 indexed citations
5.
Sitjà‐Bobadilla, Ariadna, M. Mingarro, María J. Pujalte, et al.. (2003). Immunological and pathological status of gilthead sea bream (Sparus aurata L.) under different long-term feeding regimes. Aquaculture. 220(1-4). 707–724. 27 indexed citations
6.
Mingarro, M., et al.. (2002). Endocrine mediators of seasonal growth in gilthead sea bream (): the growth hormone and somatolactin paradigm. General and Comparative Endocrinology. 128(2). 102–111. 143 indexed citations
7.
Pérez‐Sánchez, Jaume, Josep À. Calduch-Giner, M. Mingarro, et al.. (2002). Overview of Fish Growth Hormone Family. New Insights in Genomic Organization and Heterogeneity of Growth Hormone Receptors. Fish Physiology and Biochemistry. 27(3-4). 243–258. 70 indexed citations
8.
Calduch-Giner, Josep À., M. Mingarro, & Jaume Pérez‐Sánchez. (2000). cDNA cloning and sequence of European sea bass (Dicentrarchus labrax) somatolactin. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 127(2). 183–192. 18 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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