M.T. Dı́az

2.9k citations
60 papers · 2.4k · h-index 27

Impact in

Papers in

M.T. Dı́az

57 papers receiving 2.3k citations

Peers

M.T. Dı́az
Comparison fields: 5 of 105
  • Animal Science and Zoology 1.7k
  • Agronomy and Crop Science 507
  • Food Science 584
  • Aquatic Science 230
  • Nutrition and Dietetics 362
Replace V. Cañeque with:
V. Cañeque Spain
R. Marino Italy
S.I. Hughes United Kingdom
Bénédicte Lebret France
Ivanor Nunes do Prado Brazil
G. Ripoll Spain
Eleni Kasapidou Greece
P.R. Sheard United Kingdom
M.J. Beriain Spain
A.V. Fisher United Kingdom
M.T. Dı́az relative to V. Cañeque Spain V. Cañeque's profile →
Citations per field
00.5×4.5×
V. Cañeque · 1×
Citations per year

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-authors

The 25 scholars most cited alongside M.T. Dı́az, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.T. Dı́az Line = papers co-authored together M.T. Dı́az links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002220
2 2009206
3 2019144
4 2005134
5 2020129
6 200385
7 200179
8 200577
9 200674
10 201372
11 200970
12 200560
13 201158
14 200156
15 200955
16 201652
17 201050
18 202049
19 201444
20 200042

About M.T. Dı́az

M.T. Dı́az is a scholar working on Animal Science and Zoology, Aquatic Science, Agronomy and Crop Science, Immunology and Ecology, having authored 60 papers that have together received 2.4k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (45 papers), Animal Nutrition and Physiology (20 papers), Aquaculture Nutrition and Growth (19 papers), Ruminant Nutrition and Digestive Physiology (12 papers), Aquaculture disease management and microbiota (9 papers), Genetic and phenotypic traits in livestock (8 papers), Physiological and biochemical adaptations (6 papers) and Fatty Acid Research and Health (6 papers). The work is most often cited by research in Animal Science and Zoology (1.7k citations), Agronomy and Crop Science (507 citations), Food Science (584 citations), Aquatic Science (230 citations) and Nutrition and Dietetics (362 citations). M.T. Dı́az has collaborated with scholars based in Spain, Vietnam and United Kingdom. Frequent co-authors include V. Cañeque, S. Lauzurica, C. Pérez, J. de la Fuente, S. Velasco, Felipe Ruiz de Huidobro, Ceferina Vieira, Helena M. Moreno, A. Javier Borderías and Fátima Domínguez-Timón. Their work appears in journals such as Meat Science, Aquaculture, Animal Science, Fish Physiology and Biochemistry and Small Ruminant Research.

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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