M. J. Carabaño

2.3k total citations
84 papers, 1.7k citations indexed

About

M. J. Carabaño is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, M. J. Carabaño has authored 84 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Genetics, 32 papers in Animal Science and Zoology and 26 papers in Agronomy and Crop Science. Recurrent topics in M. J. Carabaño's work include Genetic and phenotypic traits in livestock (57 papers), Effects of Environmental Stressors on Livestock (23 papers) and Reproductive Physiology in Livestock (16 papers). M. J. Carabaño is often cited by papers focused on Genetic and phenotypic traits in livestock (57 papers), Effects of Environmental Stressors on Livestock (23 papers) and Reproductive Physiology in Livestock (16 papers). M. J. Carabaño collaborates with scholars based in Spain, Tunisia and United States. M. J. Carabaño's co-authors include Clara Díaz, Romdhane Rekaya, Manuel Ramón, R. Alenda, Pedro López‐Romero, M. Á. Toro, A. Molina, L.D. Van Vleck, E. Ugarte and A. Menéndez‐Buxadera and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Dairy Science.

In The Last Decade

M. J. Carabaño

77 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. J. Carabaño Spain 24 1.1k 809 640 264 244 84 1.7k
Florence Phocas France 25 1.3k 1.1× 391 0.5× 446 0.7× 217 0.8× 258 1.1× 92 1.7k
Christine F. Baes Canada 25 1.9k 1.7× 843 1.0× 1.0k 1.6× 364 1.4× 310 1.3× 160 2.6k
Maria Eugênia Zerlotti Mercadante Brazil 26 1.6k 1.4× 774 1.0× 936 1.5× 376 1.4× 154 0.6× 164 2.1k
Alan G. Fahey Ireland 27 959 0.8× 790 1.0× 1.0k 1.6× 94 0.4× 341 1.4× 88 2.1k
S. König Germany 26 1.3k 1.1× 839 1.0× 865 1.4× 187 0.7× 414 1.7× 67 1.8k
J. Piedrafita Spain 22 803 0.7× 619 0.8× 333 0.5× 160 0.6× 232 1.0× 74 1.5k
T. A. Olson United States 25 1.2k 1.0× 909 1.1× 841 1.3× 144 0.5× 238 1.0× 67 1.9k
Andrew Swan Australia 28 1.5k 1.3× 510 0.6× 536 0.8× 332 1.3× 308 1.3× 130 2.1k
Raphael Mrode United Kingdom 26 2.0k 1.8× 736 0.9× 1.2k 1.8× 487 1.8× 344 1.4× 149 2.8k
Robert L Weaber United States 19 793 0.7× 491 0.6× 363 0.6× 146 0.6× 164 0.7× 65 1.2k

Countries citing papers authored by M. J. Carabaño

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Carabaño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. J. Carabaño

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Carabaño. A scholar is included among the top collaborators of M. J. Carabaño based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. J. Carabaño. M. J. Carabaño is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bernués, A., et al.. (2025). The importance of the messenger in climate change communication to farmers. Italian Journal of Animal Science. 24(1). 1336–1344. 1 indexed citations
3.
Carabaño, M. J., et al.. (2024). Modelling heat stress effects on milk production traits in Tunisian Holsteins using a random regression approach. Journal of Animal Breeding and Genetics. 142(2). 155–169. 1 indexed citations
4.
Mota, Lúcio Flávio Macêdo, et al.. (2024). Assessment of inbreeding coefficients and inbreeding depression on complex traits from genomic and pedigree data in Nelore cattle. BMC Genomics. 25(1). 944–944. 6 indexed citations
5.
Díaz, Clara, et al.. (2022). On the modelling of weights of kids to enhance growth in a local goat population under Tunisian arid conditions: the maternal effects. Tropical Animal Health and Production. 54(3). 177–177. 4 indexed citations
6.
Sánchez-Molano, Enrique, M. J. Carabaño, Dimitrios Chatziplis, et al.. (2021). Understanding the seasonality of performance resilience to climate volatility in Mediterranean dairy sheep. Scientific Reports. 11(1). 1889–1889. 18 indexed citations
7.
Carabaño, M. J., et al.. (2018). Impact of environmental factors on average daily gains of local kids population under pastoral mode in Tunisian arid region.. Journal of New Sciences. 59. 3822–3828. 1 indexed citations
8.
Carabaño, M. J., et al.. (2014). Modelling fertility traits under natural mating conditions in beef cattle. Bulletin - International Bull Evaluation Service/Interbull bulletin. 50–53. 1 indexed citations
9.
Collado, Daniel, Clara Díaz, Adam G. Drucker, M. J. Carabaño, & Kerstin K. Zander. (2014). Determination of non-market values to inform conservation strategies for the threatened Alistana–Sanabresa cattle breed. animal. 8(8). 1373–1381. 21 indexed citations
10.
Toro, M. Á., L. Varona, M. J. Carabaño, et al.. (2014). Genome-wide Analysis of Genetic Diversity in Autochthonous Spanish Populations of Beef Cattle. Proceedings of the World Congress on Genetics Applied to Livestock Production. 255. 2 indexed citations
11.
Díaz, Clara, et al.. (2008). Model selection in a global analysis of a microarray experiment1. Journal of Animal Science. 87(1). 88–98. 3 indexed citations
12.
Carabaño, M. J., et al.. (2006). Comparing alternative models to account for herd effects in test day milk yield data.. 1 indexed citations
13.
Ibáñez, Miguel, et al.. (2005). Residual analysis for comparing procedures that adjust heterogenous phenotypic variances in a 305 days lactational model genetic evaluation. Bulletin - International Bull Evaluation Service/Interbull bulletin. 188. 1 indexed citations
14.
Ibáñez, Miguel, et al.. (2000). New genetic parameters for national evaluations of production traits in Spanish Holsteins excluding selected base animals from the estimation of genetic variance. Bulletin - International Bull Evaluation Service/Interbull bulletin. 18. 4 indexed citations
15.
Pérez, Marcelo A., et al.. (1999). Genetic analysis of true profit for Spanish dairy cattle. Bulletin - International Bull Evaluation Service/Interbull bulletin. 107–107. 14 indexed citations
16.
Charfeddine, Noureddine, R. Alenda, A.F. Groen, & M. J. Carabaño. (1997). Genetic parameters and economic values of lactation somatic cell score and production traits. Socio-Environmental Systems Modeling. 15(15). 84–91. 5 indexed citations
17.
Alenda, R., et al.. (1996). Selection for total merit in the Spanish Holstein Friesian. Bulletin - International Bull Evaluation Service/Interbull bulletin. 3 indexed citations
18.
Rekaya, Romdhane, et al.. (1995). Genetic parameters for test day measurements in Spanish Holstein-Friesian. Bulletin - International Bull Evaluation Service/Interbull bulletin. 16 indexed citations
19.
Ibáñez, Miguel, M. J. Carabaño, & R. Alenda. (1993). A study on heterogeneity of variances adjustment in genetic evaluations in Spain. Bulletin - International Bull Evaluation Service/Interbull bulletin. 1 indexed citations
20.
Banos, Georgios, J. Philipsson, Bernard Bonaïti, et al.. (1993). Report of a joint research project between Interbull and Copa/Cogeca of the feasability of a simultaneous genetics evaluation of Black and White dairy bulls across European Community Countries. Open Repository and Bibliography (University of Liège). 9 indexed citations

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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