M. Valera

3.2k citations
159 papers · 2.5k · h-index 25

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 98
    • Genetic Mapping and Diversity in Plants and Animals 25
    • Genetic diversity and population structure 23
    • Veterinary Equine Medical Research 74

M. Valera

145 papers receiving 2.4k citations

Peers

M. Valera
Comparison fields: 5 of 110
  • Equine 960
  • Animal Science and Zoology 849
  • Genetics 1.6k
  • Agronomy and Crop Science 491
  • Small Animals 238
Replace A. Molina with:
A. Molina Spain
I. Cervantes Spain
Domenico Bergero Italy
Uta König von Borstel Germany
Stefania Casella Italy
Dominik Burger Switzerland
Juan Pablo Gutiérrez Spain
G.D. Potter United States
Emanuela Dalla Costa Italy
E.P.C. Koenen Netherlands
M. Valera relative to A. Molina Spain A. Molina's profile →
Citations per field
00.5×1.5×
A. Molina · 1×
Citations per year

Countries citing papers authored by M. Valera

Since Specialization
Citations

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

Fields of papers citing papers by M. Valera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008159
2 2005136
3 2011125
4 2012113
5 200895
6 201381
7 199978
8 200969
9 200768
10 200965
11 200861
12 200559
13 200749
14 200944
15 200543
16 200935
17 201334
18 201632
19 202030
20 200729

About M. Valera

M. Valera is a scholar working on Genetics, Equine, Animal Science and Zoology, Agronomy and Crop Science and Cell Biology, having authored 159 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (98 papers), Veterinary Equine Medical Research (74 papers), Meat and Animal Product Quality (40 papers), Genetic Mapping and Diversity in Plants and Animals (25 papers), Genetic diversity and population structure (23 papers), Sports Performance and Training (16 papers), Reproductive Physiology in Livestock (14 papers) and Animal Nutrition and Physiology (13 papers). The work is most often cited by research in Equine (960 citations), Animal Science and Zoology (849 citations), Genetics (1.6k citations), Agronomy and Crop Science (491 citations) and Small Animals (238 citations). M. Valera has collaborated with scholars based in Spain, Argentina and Portugal. Frequent co-authors include A. Molina, Juan Pablo Gutiérrez, I. Cervantes, F. Goyache, María Sánchez, M.D. Gómez, Ester Bartolomé, M. Juárez, Marina Solé and María Jesús Alcalde Aldea. Their work appears in journals such as Livestock Science, Journal of Animal Breeding and Genetics, Animals, animal and Animal Genetics.

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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