R.M. Caldeira

579 citations
18 papers · 453 · h-index 10

Impact in

  • Equine top 2%
    • Veterinary Equine Medical Research
    • Reproductive Physiology in Livestock
    • Ruminant Nutrition and Digestive Physiology

Papers in

    • Reproductive Physiology in Livestock 11
    • Ruminant Nutrition and Digestive Physiology 6
    • Genetic and phenotypic traits in livestock 10
    • Estrogen and related hormone effects 1

R.M. Caldeira

18 papers receiving 430 citations

Peers

R.M. Caldeira
Comparison fields: 5 of 73
  • Equine 47
  • Agronomy and Crop Science 287
  • Animal Science and Zoology 148
  • Genetics 201
  • Small Animals 46
Replace T. T. Ross with:
T. T. Ross United States
István Komlósi Hungary
Reinhard Daenicke Germany
A. Dias‐da‐Silva Portugal
L. Μ. McLeay New Zealand
C. A. M. Lakpini Nigeria
F. A. Ireland United States
Maria Gabriela Campolina Diniz Peixoto Brazil
H Hearnshaw Australia
J.K. Ropp United States
R.M. Caldeira relative to T. T. Ross United States T. T. Ross's profile →
Citations per field
00.5×2.7×
T. T. Ross · 1×
Citations per year

Countries citing papers authored by R.M. Caldeira

Since Specialization
Citations

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

Fields of papers citing papers by R.M. Caldeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005138
2 2005108
3 201851
4 200623
5 201522
6 201416
7 200716
8 199915
9 201914
10 199113
11 20198
12 20146
13 20126
14 20145
15 20135
16 20003
17 20183
18 20201

About R.M. Caldeira

R.M. Caldeira is a scholar working on Agronomy and Crop Science, Genetics, Equine, Animal Science and Zoology and Molecular Biology, having authored 18 papers that have together received 453 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (11 papers), Genetic and phenotypic traits in livestock (10 papers), Veterinary Equine Medical Research (8 papers), Ruminant Nutrition and Digestive Physiology (6 papers), Effects of Environmental Stressors on Livestock (4 papers), Adipose Tissue and Metabolism (2 papers), Estrogen and related hormone effects (1 paper) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Equine (47 citations), Agronomy and Crop Science (287 citations), Animal Science and Zoology (148 citations), Genetics (201 citations) and Small Animals (46 citations). R.M. Caldeira has collaborated with scholars based in Portugal, United Kingdom and Morocco. Frequent co-authors include A. V. Portugal, César Santos, A.T. Belo, R.J.B. Bessa, Graça Ferreira‐Dias, Shaun R. Cook, Ana Duarte, Alice Cappucci, Mónica M. Costa and Susana P. Alves. Their work appears in journals such as Small Ruminant Research, Livestock Science, Asian-Australasian Journal of Animal Sciences, Canadian Journal of Animal Science and PLoS ONE.

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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