T Díaz

1.2k citations
16 papers · 913 indexed · h-index 13

Impact in

Papers in

T Díaz

15 papers receiving 830 citations

Peers

T Díaz
Comparison fields: 5 of 43
  • Agronomy and Crop Science 791
  • Animal Science and Zoology 214
  • Genetics 559
  • Reproductive Medicine 98
  • Public Health, Environmental and Occupational Health 283
Replace M.E. Wehrman with:
M.E. Wehrman United States
R. A. Parr Australia
Luiz Francisco Machado Pfeifer Brazil
M.-J. Thatcher United States
Chiho KAWASHIMA Japan
P. E. Lewis United States
Mehmet Kuran Türkiye
L. A. Werth United States
Cássia Maria Barroso Orlandi Brazil
Karol E Fike United States
T Díaz relative to M.E. Wehrman United States M.E. Wehrman's profile →
Citations per field
00.5×1.5×
M.E. Wehrman · 1×
Citations per year

Countries citing papers authored by T Díaz

Since Specialization
Citations

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

Fields of papers citing papers by T Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside T Díaz, 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 T Díaz Line = papers co-authored together T Díaz links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201223
2
Evaluación de la técnica de ecografía transrectal en la detección de folículos ováricos en ovejas tropicales
20072
3 200112
4 200176
5 199834
6 199875
7 199727
8 1996138
9 1996153
10 199684
11 199649
12 199615
13 199422
14 1993200
15 19930
16 19923

About T Díaz

T Díaz is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Public Health, Environmental and Occupational Health, Genetics and Insect Science, having authored 16 papers that have together received 913 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (11 papers), Reproductive Biology and Fertility (7 papers), Genetic and phenotypic traits in livestock (6 papers), Insect Resistance and Genetics (4 papers), Effects of Environmental Stressors on Livestock (3 papers), Insect and Pesticide Research (2 papers), Protein Hydrolysis and Bioactive Peptides (1 paper) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Agronomy and Crop Science (791 citations), Animal Science and Zoology (214 citations), Genetics (559 citations), Reproductive Medicine (98 citations) and Public Health, Environmental and Occupational Health (283 citations). T Díaz has collaborated with scholars based in United States, Colombia and Chile. Frequent co-authors include W.W. Thatcher, M. Drost, Eduardo Schmitt, Rodolfo Luzbel de la Sota, L. Badinga, D. Wolfenson, W.W. Thatcher, Frank A. Simmen, M.-J. Thatcher and C.R. Staples. Their work appears in journals such as Journal of Animal Science, Theriogenology, Biology of Reproduction, Memórias do Instituto Oswaldo Cruz and Applied Microbiology and Biotechnology.

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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