Mercè Llabrés

959 citations
37 papers · 564 · h-index 12

Impact in

  • Paleontology top 10%
    • Evolution and Paleontology Studies
  • Ecology top 10%
    • Bacteriophages and microbial interactions
    • Microbial Community Ecology and Physiology

Papers in

    • Genomics and Phylogenetic Studies 14
    • Bioinformatics and Genomic Networks 9
    • Microbial Metabolic Engineering and Bioproduction 7
    • Genetic diversity and population structure 8

Mercè Llabrés

35 papers receiving 555 citations

Peers

Mercè Llabrés
Comparison fields: 5 of 91
  • Paleontology 69
  • Ecology 221
  • Oceanography 59
  • Molecular Biology 334
  • Genetics 125
Replace David Dylus with:
David Dylus United Kingdom
Alix Boc Canada
Huai-Chun Wang Canada
Steven Müller United Kingdom
Eli Levy Karin Israel
Alexander Isaev Australia
Yann Ponty France
Aleksandr V. Ivanov Russia
Cuong Cao Dang Vietnam
Shengchang Gu China
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Citations per field
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Citations per year

Countries citing papers authored by Mercè Llabrés

Since Specialization
Citations

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

Fields of papers citing papers by Mercè Llabrés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018108
2 202175
3 200950
4 200848
5 200836
6 202435
7 199926
8 200922
9 200822
10 200921
11 201014
12 200911
13 201410
14 201710
15 20219
16 20209
17 20177
18 20096
19 20045
20 20025

About Mercè Llabrés

Mercè Llabrés is a scholar working on Molecular Biology, Genetics, Paleontology, Ecology and Computational Theory and Mathematics, having authored 37 papers that have together received 564 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), Bioinformatics and Genomic Networks (9 papers), Genetic diversity and population structure (8 papers), Evolution and Paleontology Studies (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Computational Drug Discovery Methods (3 papers), Marine and coastal ecosystems (3 papers) and Microbial Community Ecology and Physiology (3 papers). The work is most often cited by research in Paleontology (69 citations), Ecology (221 citations), Oceanography (59 citations), Molecular Biology (334 citations) and Genetics (125 citations). Mercè Llabrés has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Francesc Rosselló, Gabriel Valiente, Gabriel Cardona, Susana Agustı́, David Páez-Espino, Nikos C. Kyrpides, Joan Carles Pons, Natalia Ivanova, Gerhard J. Herndl and Reiko Heckel. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, BMC Bioinformatics, PLoS ONE, Bioinformatics and Mathematical Structures in Computer Science.

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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