Beatriz Isabel

65 papers receiving 1.4k citations

Peers

Beatriz Isabel
Comparison fields: 5 of 73
  • Animal Science and Zoology 911
  • Pediatrics, Perinatology and Child Health 157
  • Agronomy and Crop Science 128
  • Genetics 309
  • Biochemistry 56
Replace N. Oksbjerg with:
N. Oksbjerg Denmark
Kaiguo Gao China
Nick E. Flynn United States
Gerda Kuhn Germany
Robert J. Harrell United States
Martin Tang Sørensen Denmark
K. Nürnberg Germany
Yue Xuan China
J.W. McFadden United States
R. G. Kauffman United States
Beatriz Isabel relative to N. Oksbjerg Denmark N. Oksbjerg's profile →
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Citations per year

Countries citing papers authored by Beatriz Isabel

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Isabel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009102
2 199776
3 201572
4 201469
5 201658
6 199852
7 200349
8 201049
9 201748
10 199641
11 201739
12 201939
13 201938
14 199836
15 200236
16 201231
17 201931
18 200330
19 201428
20 201525

About Beatriz Isabel

Beatriz Isabel is a scholar working on Animal Science and Zoology, Pediatrics, Perinatology and Child Health, Biochemistry, Genetics and Nutrition and Dietetics, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (26 papers), Animal Nutrition and Physiology (21 papers), Birth, Development, and Health (16 papers), Genetic and phenotypic traits in livestock (12 papers), Lipid metabolism and biosynthesis (6 papers), Fatty Acid Research and Health (5 papers), Ruminant Nutrition and Digestive Physiology (3 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Animal Science and Zoology (911 citations), Pediatrics, Perinatology and Child Health (157 citations), Agronomy and Crop Science (128 citations), Genetics (309 citations) and Biochemistry (56 citations). Beatriz Isabel has collaborated with scholars based in Spain, Ecuador and France. Frequent co-authors include Clemente José López-Bote, Ana Isabel Rey, Cristina Óvilo, A. Daza, Antonio Gonzalez‐Bulnes, Yolanda Núñez, Rita Benítez, Marta Vázquez-Gómez, Consolación García-Contreras and Almudena Fernández. Their work appears in journals such as Animals, PLoS ONE, Animal Feed Science and Technology, Meat Science and International Journal of Molecular Sciences.

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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