Laura Casas

429 citations
22 papers · 289 · h-index 10

Impact in

  • Physiology top 5%
    • Reproductive biology and impacts on aquatic species
    • Fish Biology and Ecology Studies

Papers in

    • Genetic diversity and population structure 9
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 5
    • Genetic and phenotypic traits in livestock 4
    • Identification and Quantification in Food 9
    • Genomics and Phylogenetic Studies 3

Laura Casas

20 papers receiving 278 citations

Peers

Laura Casas
Comparison fields: 5 of 52
  • Physiology 53
  • Aquatic Science 52
  • Ecology 96
  • Nature and Landscape Conservation 44
  • Genetics 98
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Citations per field
00.5×5.2×
Juan Antonio De Anda-Montañez · 1×
Citations per year

Countries citing papers authored by Laura Casas

Since Specialization
Citations

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

Fields of papers citing papers by Laura Casas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201666
2 200141
3 201730
4 201727
5 201525
6 200416
7 201111
8 20219
9 20169
10 20239
11 20207
12 20187
13 20217
14 20236
15 20136
16 20235
17 20233
18 20053
19 20251
20 20091

About Laura Casas

Laura Casas is a scholar working on Genetics, Molecular Biology, Ecology, Nature and Landscape Conservation and Oceanography, having authored 22 papers that have together received 289 indexed citations. Recurring topics across this work include Identification and Quantification in Food (9 papers), Genetic diversity and population structure (9 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Genetic and phenotypic traits in livestock (4 papers), Fish Ecology and Management Studies (4 papers), Microbial Community Ecology and Physiology (4 papers), Genomics and Phylogenetic Studies (3 papers) and Reproductive biology and impacts on aquatic species (3 papers). The work is most often cited by research in Physiology (53 citations), Aquatic Science (52 citations), Ecology (96 citations), Nature and Landscape Conservation (44 citations) and Genetics (98 citations). Laura Casas has collaborated with scholars based in Spain, Saudi Arabia and Singapore. Frequent co-authors include Xabier Irigoien, Fran Saborido‐Rey, Craig Michell, John K. Pearman, Timothy Ravasi, Taewoo Ryu, Laura Sánchez, Elsa Vázquez, Nuria Fernández and Ricardo Beiras. Their work appears in journals such as Frontiers in Marine Science, Scientific Reports, Molecular Ecology, PLoS ONE and Limnology and Oceanography.

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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