Maria Augusta Alonso

867 total citations
61 papers, 611 citations indexed

About

Maria Augusta Alonso is a scholar working on Agronomy and Crop Science, Equine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Maria Augusta Alonso has authored 61 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Agronomy and Crop Science, 20 papers in Equine and 16 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Maria Augusta Alonso's work include Reproductive Physiology in Livestock (27 papers), Veterinary Equine Medical Research (20 papers) and Reproductive Biology and Fertility (15 papers). Maria Augusta Alonso is often cited by papers focused on Reproductive Physiology in Livestock (27 papers), Veterinary Equine Medical Research (20 papers) and Reproductive Biology and Fertility (15 papers). Maria Augusta Alonso collaborates with scholars based in Brazil, Spain and United States. Maria Augusta Alonso's co-authors include José L. Hernández, Jesús González-Macı́as, José A. Riancho, José M. Olmos, Josefina Martínez, Marcos Pajarón, Javier Llorca, João Roberto Oliveira do Nascimento, Marı́a T. Zarrabeitia and Cláudia Barbosa Fernandes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Gene.

In The Last Decade

Maria Augusta Alonso

55 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Augusta Alonso Brazil 12 148 143 127 126 115 61 611
Cecilia Vullo Italy 14 89 0.6× 40 0.3× 23 0.2× 32 0.3× 66 0.6× 57 494
Francisco J. Mendoza Spain 18 136 0.9× 166 1.2× 24 0.2× 28 0.2× 130 1.1× 61 1.1k
Ragnar Thomassen Norway 12 48 0.3× 121 0.8× 13 0.1× 171 1.4× 21 0.2× 18 430
J. C. Estepa Spain 18 116 0.8× 91 0.6× 77 0.6× 11 0.1× 112 1.0× 48 910
L. Munyakazi United States 14 138 0.9× 92 0.6× 17 0.1× 107 0.8× 11 0.1× 26 608
Xinyu Qi China 11 219 1.5× 25 0.2× 31 0.2× 63 0.5× 88 0.8× 33 608
María Laura Zenclussen Germany 24 354 2.4× 223 1.6× 22 0.2× 506 4.0× 69 0.6× 40 1.8k
F Zachariae Denmark 13 92 0.6× 78 0.5× 11 0.1× 173 1.4× 74 0.6× 35 493
Lina Yan China 18 140 0.9× 13 0.1× 211 1.7× 82 0.7× 142 1.2× 54 821
C Pélissier France 20 61 0.4× 290 2.0× 63 0.5× 265 2.1× 21 0.2× 47 1.3k

Countries citing papers authored by Maria Augusta Alonso

Since Specialization
Citations

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

Fields of papers citing papers by Maria Augusta Alonso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Augusta Alonso. 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 Maria Augusta Alonso. The network helps show where Maria Augusta Alonso may publish in the future.

Co-authorship network of co-authors of Maria Augusta Alonso

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Augusta Alonso. A scholar is included among the top collaborators of Maria Augusta Alonso 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 Maria Augusta Alonso. Maria Augusta Alonso 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.
Alonso, Maria Augusta, et al.. (2025). Does age and parity affect the oxidative profile of pregnant and postpartum mares?. Journal of Equine Veterinary Science. 150. 105597–105597.
2.
Alonso, Maria Augusta, et al.. (2024). Equine ICSI: an update on semen perspective. Animal Reproduction. 21(4). e20240015–e20240015.
3.
4.
Alonso, Maria Augusta, et al.. (2023). Perinatal parameters of mule and equine foals: Similarities and differences. Journal of Veterinary Behavior. 63. 31–35. 5 indexed citations
5.
6.
Veras, Mariana Matera, et al.. (2023). Comparative stereological evaluation of the term allantochorion membrane in the mare pregnant with mule foals and equine foals. Animal Reproduction Science. 250. 107201–107201.
7.
Legacki, Erin, et al.. (2022). Postnatal Dynamics of Circulating Steroid Hormones in Mule and Equine Neonates. Veterinary Sciences. 9(11). 598–598. 2 indexed citations
8.
Alonso, Maria Augusta, et al.. (2020). Oxidative state in equine neonates: Anti‐ and pro‐oxidants. Equine Veterinary Journal. 53(2). 379–384. 5 indexed citations
9.
Alonso, Maria Augusta, et al.. (2019). Resistência à insulina e metabolismo de glicose na gestação, um paralelo entre equinos e humanos. Revista Brasileira de Reprodução Animal. 43(3). 772–778. 1 indexed citations
10.
Alonso, Maria Augusta, et al.. (2019). Are mule pregnancies really longer than equine pregnancies? Comparison between mule and equine pregnancies. Reproduction in Domestic Animals. 54(6). 823–827. 7 indexed citations
11.
Alonso, Maria Augusta, et al.. (2017). Endocrinologia reprodutiva da égua gestante. Revista Brasileira de Reprodução Animal. 41(1). 316–325.
12.
Silva, Luciano Andrade, et al.. (2016). Uterine Vascular Perfusion and Involution During the Postpartum Period in Mares. Journal of Equine Veterinary Science. 51. 61–69. 8 indexed citations
13.
García‐Ibarbia, Carmen, Jesús Delgado‐Calle, Íñigo Casafont, et al.. (2013). Contribution of genetic and epigenetic mechanisms to Wnt pathway activity in prevalent skeletal disorders. Gene. 532(2). 165–172. 37 indexed citations
14.
Arruda, Rubens Paes de, et al.. (2012). Aspects related to the technique and fertilization of sexed semen in vivo and in vitro. Animal Reproduction. 9(3). 345–353. 6 indexed citations
15.
Fernandes, Cláudia Barbosa, et al.. (2012). Influence of maternal parity on placental characteristics and foal weight, height and thorax perimeter at birth. Journal of Equine Veterinary Science. 32(7). 418–419. 2 indexed citations
16.
Riancho, Javier, Carmen García‐Ibarbia, María Isabel Pérez‐Núñez, et al.. (2011). Genetic Polymorphisms of the Wnt Receptor LRP5 are Differentially Associated with Trochanteric and Cervical Hip Fractures. Calcified Tissue International. 90(2). 137–143. 6 indexed citations
17.
Hernández, José L., Carlos Garcés, Carmen García‐Ibarbia, et al.. (2008). Aromatase expression in osteoarthritic and osteoporotic bone. Arthritis & Rheumatism. 58(6). 1696–1700. 31 indexed citations
18.
Valero, Carmen, José Luis Pérez‐Castrillón, Marı́a T. Zarrabeitia, et al.. (2007). Association of aromatase and estrogen receptor gene polymorphisms with hip fractures. Osteoporosis International. 19(6). 787–792. 13 indexed citations
19.
Alonso, Maria Augusta, et al.. (2007). Uso da gonadotrofina coriônica humana (hCG) visando melhorar as características reprodutivas e fertilidade de receptoras de embriões eqüinos. Revista Brasileira de Reprodução Animal. 31(1). 27–31. 2 indexed citations
20.
Riancho, José A., Carmen Valero, José L. Hernández, et al.. (2006). Association of the F352V variant of the Klotho gene with bone mineral density. Biogerontology. 8(2). 121–127. 35 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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