B. Isabel

1.8k total citations
66 papers, 1.4k citations indexed

About

B. Isabel is a scholar working on Animal Science and Zoology, Physiology and Nutrition and Dietetics. According to data from OpenAlex, B. Isabel has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Animal Science and Zoology, 24 papers in Physiology and 14 papers in Nutrition and Dietetics. Recurrent topics in B. Isabel's work include Animal Nutrition and Physiology (32 papers), Meat and Animal Product Quality (24 papers) and Adipose Tissue and Metabolism (21 papers). B. Isabel is often cited by papers focused on Animal Nutrition and Physiology (32 papers), Meat and Animal Product Quality (24 papers) and Adipose Tissue and Metabolism (21 papers). B. Isabel collaborates with scholars based in Spain, Ecuador and France. B. Isabel's co-authors include C.J. López-Bote, A.I. Rey, C. Óvilo, A. Daza, Antonio Gonzalez‐Bulnes, Yolanda Núñez, Rita Benítez, Consolación García-Contreras, Marta Vázquez-Gómez and Almudena Fernández and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

B. Isabel

65 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Isabel Spain 22 840 298 265 242 206 66 1.4k
G. Kuhn Germany 17 526 0.6× 197 0.7× 206 0.8× 109 0.5× 196 1.0× 33 1.1k
Dingyuan Feng China 15 534 0.6× 139 0.5× 261 1.0× 130 0.5× 100 0.5× 42 1.0k
Dan Yi China 22 554 0.7× 168 0.6× 464 1.8× 189 0.8× 105 0.5× 66 1.3k
R. J. Harrell United States 22 671 0.8× 141 0.5× 163 0.6× 293 1.2× 118 0.6× 35 1.2k
Zongyong Jiang China 20 424 0.5× 124 0.4× 426 1.6× 166 0.7× 75 0.4× 54 996
Tomislav Mašek Croatia 17 265 0.3× 83 0.3× 172 0.6× 143 0.6× 119 0.6× 81 996
R. L. Hood Australia 21 514 0.6× 277 0.9× 252 1.0× 331 1.4× 162 0.8× 41 1.3k
Jan Stagsted Denmark 20 394 0.5× 187 0.6× 414 1.6× 302 1.2× 101 0.5× 44 1.3k
Jiayong Tang China 20 303 0.4× 122 0.4× 365 1.4× 553 2.3× 45 0.2× 76 1.2k
Kaiguo Gao China 16 330 0.4× 120 0.4× 349 1.3× 134 0.6× 57 0.3× 52 870

Countries citing papers authored by B. Isabel

Since Specialization
Citations

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

Fields of papers citing papers by B. Isabel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Isabel

This figure shows the co-authorship network connecting the top 25 collaborators of B. Isabel. A scholar is included among the top collaborators of B. Isabel 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 B. Isabel. B. Isabel 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.
Estellé, Jordi, Marta Vázquez-Gómez, Adrián López-García, et al.. (2024). The impact of host genetics on porcine gut microbiota composition excluding maternal and postnatal environmental influences. PLoS ONE. 19(12). e0315199–e0315199. 4 indexed citations
2.
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Núñez, Yolanda, Rita Benítez, José Luis Pesántez Pacheco, et al.. (2022). Hypothalamic transcriptome analysis reveals male-specific differences in molecular pathways related to oxidative phosphorylation between Iberian pig genotypes. PLoS ONE. 17(8). e0272775–e0272775.
4.
Pacheco, José Luis Pesántez, Consolación García-Contreras, Marta Vázquez-Gómez, et al.. (2021). Maternal Supplementation with Polyphenols and Omega-3 Fatty Acids during Pregnancy: Prenatal Effects on Growth and Metabolism. Animals. 11(6). 1699–1699. 7 indexed citations
5.
García-Contreras, Consolación, Ole Madsen, Martien A. M. Groenen, et al.. (2020). Impact of genotype, body weight and sex on the prenatal muscle transcriptome of Iberian pigs. PLoS ONE. 15(1). e0227861–e0227861. 14 indexed citations
6.
Vázquez-Gómez, Marta, Consolación García-Contreras, Laura Torres-Rovira, et al.. (2017). Polyphenols and IUGR pregnancies: Maternal hydroxytyrosol supplementation improves prenatal and early-postnatal growth and metabolism of the offspring. PLoS ONE. 12(5). e0177593–e0177593. 34 indexed citations
7.
Ayuso, Miriam, Almudena Fernández, Yolanda Núñez, et al.. (2016). Developmental Stage, Muscle and Genetic Type Modify Muscle Transcriptome in Pigs: Effects on Gene Expression and Regulatory Factors Involved in Growth and Metabolism. PLoS ONE. 11(12). e0167858–e0167858. 56 indexed citations
8.
Ayuso, Miriam, Almudena Fernández, Yolanda Núñez, et al.. (2015). Comparative Analysis of Muscle Transcriptome between Pig Genotypes Identifies Genes and Regulatory Mechanisms Associated to Growth, Fatness and Metabolism. PLoS ONE. 10(12). e0145162–e0145162. 69 indexed citations
9.
Ayuso, Miriam, C. Óvilo, Antonio Rodríguez‐Bertos, et al.. (2015). Dietary vitamin A restriction affects adipocyte differentiation and fatty acid composition of intramuscular fat in Iberian pigs. Meat Science. 108. 9–16. 15 indexed citations
10.
Castro, Teresa Gontijo de, et al.. (2015). Animal performance and meat characteristics in steers reared in intensive conditions fed with different vegetable oils. animal. 10(3). 520–530. 24 indexed citations
11.
Benítez, Rita, Yolanda Núñez, Ana I. Fernández, et al.. (2014). Effects of dietary fat saturation on fatty acid composition and gene transcription in different tissues of Iberian pigs. Meat Science. 102. 59–68. 21 indexed citations
12.
Barea, R., B. Isabel, R. Nieto, C.J. López-Bote, & J. F. Aguilera. (2012). Evolution of the fatty acid profile of subcutaneous back-fat adipose tissue in growing Iberian and Landrace × Large White pigs. animal. 7(4). 688–698. 30 indexed citations
13.
Isabel, B., D. Menoyo, A. Daza, et al.. (2010). Dietary CLA alters intramuscular fat and fatty acid composition of pig skeletal muscle and subcutaneous adipose tissue. Meat Science. 85(2). 235–239. 46 indexed citations
14.
Isabel, B., D. Menoyo, A. Daza, et al.. (2010). Dietary CLA supplementation and gender modify fatty acid composition of subcutaneous and intramuscular fat in Iberian × Duroc finishing heavy pigs. Spanish Journal of Agricultural Research. 8(4). 962–970. 8 indexed citations
15.
Daza, A., A.I. Rey, B. Isabel, & C.J. López-Bote. (2005). Effect of dietary vitamin E and partial replacement of poly‐ with monounsaturated fat on fatty acid patterns of backfat and intramuscular fat in heavy pigs (Iberian × Duroc). Journal of Animal Physiology and Animal Nutrition. 89(1-2). 20–28. 15 indexed citations
16.
Navarro, María Á., Sergio Acı́n, Ricardo Carnicer, et al.. (2004). Response of ApoA-IV in pigs to long-term increased dietary oil intake and to the degree of unsaturation of the fatty acids. British Journal Of Nutrition. 92(5). 763–769. 12 indexed citations
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Ortiz, Luis, A. Rebolé, M.L. Rodríguez, et al.. (1998). Effect of chicken age on the nutritive value of diets with graded additions of full-fat sunflower seed. British Poultry Science. 39(4). 530–535. 13 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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