E. Molina

557 total citations
20 papers, 457 citations indexed

About

E. Molina is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, E. Molina has authored 20 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Agronomy and Crop Science, 7 papers in Animal Science and Zoology and 7 papers in Genetics. Recurrent topics in E. Molina's work include Reproductive Physiology in Livestock (6 papers), Genetic and phenotypic traits in livestock (5 papers) and Ruminant Nutrition and Digestive Physiology (4 papers). E. Molina is often cited by papers focused on Reproductive Physiology in Livestock (6 papers), Genetic and phenotypic traits in livestock (5 papers) and Ruminant Nutrition and Digestive Physiology (4 papers). E. Molina collaborates with scholars based in Spain, Italy and United Kingdom. E. Molina's co-authors include Daniel Villalba Mata, M. Tör, J. Estany, M. Joy, A. Bernués, R. Ruíz, R. Ripoll‐Bosch, Ana Olaizola Tolosana, N. Jiménez and Marcel Amills and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical Journal and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

E. Molina

19 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Molina Spain 8 147 95 94 89 67 20 457
Pedro González Redondo Spain 15 331 2.3× 37 0.4× 121 1.3× 128 1.4× 123 1.8× 80 601
Mario Graziano Usai Italy 11 79 0.5× 26 0.3× 286 3.0× 20 0.2× 138 2.1× 24 501
R. T. Cowan Australia 12 113 0.8× 17 0.2× 187 2.0× 46 0.5× 278 4.1× 34 469
R. Acero Spain 9 108 0.7× 60 0.6× 60 0.6× 66 0.7× 76 1.1× 27 295
S. Bech‐Andersen South Korea 14 328 2.2× 23 0.2× 45 0.5× 60 0.7× 211 3.1× 20 737
James Bond United States 13 129 0.9× 47 0.5× 105 1.1× 28 0.3× 225 3.4× 56 469
Kate Keogh Ireland 16 146 1.0× 12 0.1× 310 3.3× 39 0.4× 326 4.9× 57 665
J M C Simas United States 18 233 1.6× 39 0.4× 305 3.2× 76 0.9× 707 10.6× 34 840
Ryan Rhoades United States 10 169 1.1× 16 0.2× 88 0.9× 40 0.4× 105 1.6× 20 334
M. Journet France 12 137 0.9× 48 0.5× 267 2.8× 39 0.4× 524 7.8× 43 590

Countries citing papers authored by E. Molina

Since Specialization
Citations

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

Fields of papers citing papers by E. Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Molina

This figure shows the co-authorship network connecting the top 25 collaborators of E. Molina. A scholar is included among the top collaborators of E. Molina 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 E. Molina. E. Molina 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.
Rodríguez, Javier Álvarez, Alba Macià, María José Martín Alonso, et al.. (2025). Maternal Hydroxytyrosol Supplementation Enhances Antioxidant Capacity and Immunometabolic Adaptations in Nutrient-Restricted Beef Cows and Their Offspring. Antioxidants. 14(9). 1097–1097.
2.
Serrano, B., et al.. (2022). Is the inclusion of carob (Ceratonia siliqua L.) pulp in the concentrate of weaned light lambs worth it?. Animal Feed Science and Technology. 293. 115452–115452. 7 indexed citations
3.
Serrano, B., et al.. (2021). Minimum Effects of Sampling Time on the Apparent Digestibility of Nutrients and Blood Protein Catabolites in Light Lambs. Animals. 11(8). 2244–2244. 1 indexed citations
4.
Rodríguez, Javier Álvarez, et al.. (2020). ¿Afectan los taninos condensados de la dieta a los resultados productivos, la composición de ácidos grasos y el color de la carne de cordero?. Informacion Tecnica Economica Agraria. 3 indexed citations
5.
Serrano, B., et al.. (2019). Progesterone Supplementation During the Pre-implantation Period Influences Interferon-Stimulated Gene Expression in Lactating Dairy Cows. Annals of Animal Science. 19(3). 713–724. 4 indexed citations
6.
7.
Mata, Daniel Villalba, et al.. (2019). Effects of maternal subnutrition during early pregnancy on cow hematological profiles and offspring physiology and vitality in two beef breeds. Animal Science Journal. 90(7). 857–869. 9 indexed citations
8.
Ripoll‐Bosch, R., R. Ruíz, Daniel Villalba Mata, et al.. (2011). An integrated sustainability assessment of mediterranean sheep farms with different degrees of intensification. Agricultural Systems. 105(1). 46–56. 147 indexed citations
9.
Rensis, F. De, et al.. (2008). Effect of season on luteal activity during the post partum period of dairy cows in temperate areas. animal. 2(4). 554–559. 5 indexed citations
10.
Amills, Marcel, N. Jiménez, Daniel Villalba Mata, et al.. (2003). Identification of three single nucleotide polymorphisms in the chicken insulin-like growth factor 1 and 2 genes and their associations with growth and feeding traits. Poultry Science. 82(10). 1485–1493. 118 indexed citations
11.
Tör, M., et al.. (2002). Comparison of carcass composition by parts and tissues between cocks and capons. Animal Research. 51(5). 421–431. 58 indexed citations
12.
13.
Albanell, Elena, et al.. (1999). Determination of Fat, Protein, and Total Solids in Ovine Milk by Near-Infrared Spectroscopy. Journal of AOAC International. 82(3). 753–758. 36 indexed citations
14.
Molina, E., et al.. (1995). Variation in Ribosomal DNA Intergenic Spacers Among Populations of Anopheles albimanus in South and Central America. American Journal of Tropical Medicine and Hygiene. 53(5). 469–477. 23 indexed citations
15.
Vicente, María Asunción, et al.. (1994). Granites employed in Ávila-Spain. I. Chemical composition of the different types. SHILAP Revista de lepidopterología. 3 indexed citations
16.
Vicente, María Asunción, et al.. (1994). Granitos empleados en Avila - España: Composición química de las distintas variables.Caracteres petrofísicos. Materiales de Construcción. 23–38. 1 indexed citations
17.
Molina, E., Maria Plana, & Emilio Itarte. (1991). Heterogeneity of rat liver cytosol casein kinase 2. Association between the α/α' -subunits of casein kinase 2 and the phosphorylatable protein pp49. Biochemical Journal. 277(3). 811–818. 14 indexed citations
18.
Fernández‐Sánchez, María Luisa, et al.. (1987). Rapid determination of eight elements in cement and its raw mixes by inductively coupled plasma atomic emission spectrometry. Journal of Analytical Atomic Spectrometry. 2(5). 491–495. 2 indexed citations
19.
Nefzaoui, A., et al.. (1984). Ensilados de orujo de aceituna tratados con alcalis: composición química, disgestibilidad in sacco y degradabilidad. Archivos de Zootecnia. 33(127). 219–236. 3 indexed citations
20.
Molina, E., et al.. (1983). Utilización de la semilla de altramuz blanco (Lupinus Albus Var. Multulupa) en dietas para pollos en crecimiento, como sutitutivo de la torta de soja. Estudio de su valor energético. Archivos de Zootecnia. 32(124). 295–304. 2 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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