A. Albera

962 citations
35 papers · 781 indexed · h-index 18

A. Albera

35 papers receiving 747 citations

Peers

A. Albera
Comparison fields: 5 of 74
  • Animal Science and Zoology 430
  • Agronomy and Crop Science 202
  • Genetics 541
  • Analytical Chemistry 104
  • Small Animals 67
Replace J.M. Serradilla with:
J.M. Serradilla Spain
A. Zidi Spain
L. Pannier Australia
Sylvie Vanderick Belgium
D. Peškovičová Slovakia
Kathryn Tiplady New Zealand
Meiji Zembayashi Japan
W.M. Stoop Netherlands
R.F. Veerkamp Netherlands
Miguel Henrique de Almeida Santana Brazil
A. Albera relative to J.M. Serradilla Spain J.M. Serradilla's profile →
Citations per field
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J.M. Serradilla · 1×
Citations per year

Countries citing papers authored by A. Albera

Since Specialization
Citations

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

Fields of papers citing papers by A. Albera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20214
2 20215
3 201919
4 201927
5 201916
6 201550
7
Looking for the mutations for arthrogryposis and macroglossia in Piedmontese cattle: preliminary results.
20131
8 201326
9 201216
10 201145
11 201146
12
Integrating population genomics and genomic selection
20101
13 201025
14 200570
15 200412
16 200245
17
Economic value for beef traits in Piemontese cattle
20027
18 200065
19
Breeding for improved calving performance in Piemontese cattle : Economic value
19994
20
Direct and maternal effects on calving ease in heifers and second parity Piemontese cows
19983

About A. Albera

A. Albera is a scholar working on Animal Science and Zoology, Genetics, Small Animals, Analytical Chemistry and Agronomy and Crop Science, having authored 35 papers that have together received 781 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (27 papers), Meat and Animal Product Quality (18 papers), Animal Nutrition and Physiology (12 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Animal Behavior and Welfare Studies (6 papers), Spectroscopy and Chemometric Analyses (3 papers), Adipose Tissue and Metabolism (3 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Animal Science and Zoology (430 citations), Agronomy and Crop Science (202 citations), Genetics (541 citations), Analytical Chemistry (104 citations) and Small Animals (67 citations). A. Albera has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Giovanni Bittante, Paolo Carnier, Liliana Di Stasio, Alessio Cecchinato, A.F. Groen, Alberto Brugiapaglia, V. Bonfatti, Stefano Sartore, G. Destefanis and Luigi Gallo. Their work appears in journals such as Meat Science, Journal of Animal Science, Animal Genetics, Italian Journal of Animal Science and animal.

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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