Laura Ordovás

1.5k citations
30 papers · 632 indexed · h-index 14
  • Neurology top 10%
  • Genetics top 10%
    • Genetic and phenotypic traits in livestock 4
    • Genetic Mapping and Diversity in Plants and Animals 4
    • Genetic and phenotypic traits in livestock 4
    • Genetic Mapping and Diversity in Plants and Animals 4
    • Lipid metabolism and biosynthesis 3
    • Pluripotent Stem Cells Research 9
    • CRISPR and Genetic Engineering 4
    • RNA Research and Splicing 3
    • Tissue Engineering and Regenerative Medicine 2
    • Liver physiology and pathology 2

Laura Ordovás

27 papers receiving 625 citations

Peers

Laura Ordovás
Comparison fields: 5 of 72
  • Neurology 73
  • Genetics 85
  • Developmental Neuroscience 30
  • Genetics 166
  • Biochemistry 40
Replace Junchang Li with:
Junchang Li China
Gabriel Balmus United Kingdom
Tomoyuki Furuta Japan
Cathy Browne United Kingdom
Berna Sözen Türkiye
Yuejiao Huang China
Lisa Mohamet United Kingdom
Idan Cohen Israel
Denis Barritault France
Andrew Richards United Kingdom
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Citations per field
00.5×5.7×
Junchang Li · 1×
Citations per year

Countries citing papers authored by Laura Ordovás

Since Specialization
Citations

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

Fields of papers citing papers by Laura Ordovás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 20222
4 20213
5 20207
6 20207
7 201865
8 201714
9 20160
10 201424
11 20148
12 201443
13 201314
14 201154
15 201011
16 201051
17 20087
18 200824
19
Assignment of the solute carrier family 27 member 1 (SLC27A1)gene to bovine chromosome 7
20051
20 20058

About Laura Ordovás

Laura Ordovás is a scholar working on Aging, Developmental Neuroscience, Biochemistry, Biophysics and Hepatology, having authored 30 papers that have together received 632 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), Genetic and phenotypic traits in livestock (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), CRISPR and Genetic Engineering (4 papers), Lipid metabolism and biosynthesis (3 papers), RNA Research and Splicing (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Neurology (73 citations), Genetics (85 citations), Developmental Neuroscience (30 citations), Genetics (166 citations) and Biochemistry (40 citations). Laura Ordovás has collaborated with scholars based in Spain, Belgium and Argentina. Frequent co-authors include P. Zaragoza, C. Rodellar, Catherine M. Verfaillie, R. Roy, J. Altarriba, C. Moreno, Yemiao Chen, Rosario Osta, Kim Vanuytsel and Bart De Strooper. Their work appears in journals such as Alzheimer s & Dementia, Cytogenetic and Genome Research, Animal Genetics, Animals and PLoS ONE.

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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