M.T. Dı́az

2.9k total citations
60 papers, 2.4k citations indexed

About

M.T. Dı́az is a scholar working on Animal Science and Zoology, Aquatic Science and Agronomy and Crop Science. According to data from OpenAlex, M.T. Dı́az has authored 60 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Animal Science and Zoology, 19 papers in Aquatic Science and 12 papers in Agronomy and Crop Science. Recurrent topics in M.T. Dı́az's work include Meat and Animal Product Quality (45 papers), Animal Nutrition and Physiology (20 papers) and Aquaculture Nutrition and Growth (19 papers). M.T. Dı́az is often cited by papers focused on Meat and Animal Product Quality (45 papers), Animal Nutrition and Physiology (20 papers) and Aquaculture Nutrition and Growth (19 papers). M.T. Dı́az collaborates with scholars based in Spain, Vietnam and United Kingdom. M.T. Dı́az's co-authors include V. Cañeque, S. Lauzurica, C. Pérez, J. de la Fuente, S. Velasco, Felipe Ruiz de Huidobro, Ceferina Vieira, Clara A. Tovar, Fátima Domínguez-Timón and A. Javier Borderías and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Agricultural and Food Chemistry.

In The Last Decade

M.T. Dı́az

57 papers receiving 2.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M.T. Dı́az 1.7k 584 507 402 362 60 2.4k
Eleni Kasapidou 1.8k 1.1× 391 0.7× 419 0.8× 288 0.7× 470 1.3× 35 2.4k
S.I. Hughes 2.8k 1.6× 537 0.9× 538 1.1× 470 1.2× 588 1.6× 18 3.4k
M. Juárez 1.7k 1.0× 345 0.6× 286 0.6× 341 0.8× 362 1.0× 138 2.3k
G.R. Nute 2.4k 1.4× 543 0.9× 595 1.2× 567 1.4× 377 1.0× 56 3.1k
J.L. Olleta 2.2k 1.3× 469 0.8× 509 1.0× 558 1.4× 161 0.4× 78 2.6k
V. Cañeque 1.5k 0.9× 264 0.5× 585 1.2× 444 1.1× 267 0.7× 38 1.8k
R. Marino 1.4k 0.9× 872 1.5× 707 1.4× 412 1.0× 372 1.0× 109 2.8k
B. Panea 2.0k 1.2× 510 0.9× 504 1.0× 549 1.4× 156 0.4× 110 2.5k
J. R. Busboom 1.3k 0.8× 241 0.4× 618 1.2× 509 1.3× 502 1.4× 70 2.4k
G. Ripoll 2.0k 1.2× 424 0.7× 789 1.6× 678 1.7× 202 0.6× 135 2.7k

Countries citing papers authored by M.T. Dı́az

Since Specialization
Citations

This map shows the geographic impact of M.T. Dı́az'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.T. Dı́az with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Dı́az more than expected).

Fields of papers citing papers by M.T. Dı́az

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.T. Dı́az

This figure shows the co-authorship network connecting the top 25 collaborators of M.T. Dı́az. A scholar is included among the top collaborators of M.T. Dı́az 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.T. Dı́az. M.T. Dı́az 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.
2.
Fuente, J. de la, et al.. (2024). Seasonal comparison of uniform pre-slaughter fasting practices on stress response in rainbow trout (Oncorhynchus mykiss). Aquaculture. 596. 741750–741750. 3 indexed citations
3.
Villarroel, Morris, et al.. (2023). Environmental enrichment improves growth and fillet quality in rainbow trout. Journal of the Science of Food and Agriculture. 104(6). 3487–3497. 2 indexed citations
4.
Pérez, Concepción, et al.. (2023). Effects of Fasting on Intermediary Metabolism Enzymes in the Liver and Muscle of Rainbow Trout. Fishes. 8(1). 53–53. 10 indexed citations
5.
Fuente, J. de la, et al.. (2023). Using underwater currents as an occupational enrichment method to improve the stress status in rainbow trout. Fish Physiology and Biochemistry. 50(2). 463–475. 6 indexed citations
6.
Moreno, Helena M., M.T. Dı́az, A. Javier Borderías, et al.. (2022). Effect of Different Technological Factors on the Gelation of a Low-Lectin Bean Protein Isolate. Plant Foods for Human Nutrition. 77(1). 141–149. 7 indexed citations
7.
Moreno, Helena M., Clara A. Tovar, Fátima Domínguez-Timón, et al.. (2020). Gelation of commercial pea protein isolate: effect of microbial transglutaminase and thermal processing. Food Science and Technology. 40(4). 800–809. 24 indexed citations
8.
9.
Pedrosa, Mercedes M., Alejandro Varela, Fátima Domínguez-Timón, et al.. (2020). Comparison of Bioactive Compounds Content and Techno-Functional Properties of Pea and Bean Flours and their Protein Isolates. Plant Foods for Human Nutrition. 75(4). 642–650. 49 indexed citations
10.
Villarroel, Morris, et al.. (2019). Fasting combined with long catch duration modifies the physio‐metabolic response and flesh quality of rainbow trout. Aquaculture Research. 51(3). 1244–1255. 6 indexed citations
11.
Fuente, J. de la, et al.. (2018). Use of Red Wine Polyphenols as a Natural Preservative in Health-Promoting Omega-3 Fatty Acids-Enriched Lamb Patties. Molecules. 23(12). 3080–3080. 7 indexed citations
12.
Fuente, J. de la, et al.. (2018). Physio-metabolic response of rainbow trout during prolonged food deprivation before slaughter. Fish Physiology and Biochemistry. 45(1). 253–265. 18 indexed citations
13.
Fuente, J. de la, C. Pérez-Santaescolástica, Ana Rivas-Cañedo, et al.. (2014). Effect of dietary supplementation with red wine extract or vitamin E, in combination with linseed and fish oil, on lamb meat quality. Meat Science. 98(2). 116–123. 44 indexed citations
14.
Dı́az, M.T., et al.. (2013). Effect of lairage time (0h, 3h, 6h or 12h) on glycogen content and meat quality parameters in suckling lambs. Meat Science. 96(2). 653–660. 33 indexed citations
15.
Rivas-Cañedo, Ana, C. Pérez, S. Lauzurica, et al.. (2012). Effect of dietary supplementation with either red wine extract or vitamin E on the volatile profile of lamb meat fed with omega-3 sources. Meat Science. 93(2). 178–186. 33 indexed citations
16.
Dı́az, M.T., et al.. (2009). A short term prediction model for surface ozone at southwest part of Mexico Valley.. Atmósfera. 9(1). 33–45. 1 indexed citations
17.
Vieira, Ceferina, M.T. Dı́az, B. Martı́nez, & M.D. García-Cachán. (2009). Effect of frozen storage conditions (temperature and length of storage) on microbiological and sensory quality of rustic crossbred beef at different states of ageing. Meat Science. 83(3). 398–404. 206 indexed citations
18.
Oliver, M.A., G.R. Nute, R. San Julián, et al.. (2006). Eating quality of beef, from different production systems, assessed by German, Spanish and British consumers. Meat Science. 74(3). 435–442. 74 indexed citations
19.
Julián, R. San, Luís Guerrero, C. Sañudo, et al.. (2005). Acceptability of lamb meat from different producing systems and ageing time to German, Spanish and British consumers. Meat Science. 72(3). 545–554. 60 indexed citations
20.
Miguel, Eugenio, Esther Onega, V. Cañeque, et al.. (2002). Carcass classification in suckling lambs. Discrimination ability of the European Union scale. Meat Science. 63(1). 107–117. 17 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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