Mercè Llabrés

984 citations
41 papers · 640 · h-index 13

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 15
    • Bioinformatics and Genomic Networks 8
    • Microbial Metabolic Engineering and Bioproduction 5
    • Genetic diversity and population structure 8

Mercè Llabrés

38 papers receiving 630 citations

Peers

Mercè Llabrés
Comparison fields: 5 of 89
  • Paleontology 75
  • Ecology 231
  • Software 28
  • Molecular Biology 350
  • Genetics 135
Replace Siavash Vahdati Daneshmand with:
Siavash Vahdati Daneshmand Germany
Vassily Lyubetsky Russia
Yann Ponty France
Alix Boc Canada
Miklós Csürös Canada
David Dylus United Kingdom
Huai-Chun Wang Canada
Kouta Toshimoto Japan
Elisabeth R.M. Tillier Canada
Mercè Llabrés relative to Siavash Vahdati Daneshmand Germany Siavash Vahdati Daneshmand's profile →
Citations per field
00.5×12.4×
Siavash Vahdati Daneshmand · 1×
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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018116
2 202179
3 200953
4 200850
5 200843
6 202441
7 199934
8 200926
9 200825
10 200922
11 201016
12 202113
13 200913
14 201710
15 201410
16 202010
17 20029
18 20177
19 20097
20 20006

About Mercè Llabrés

Mercè Llabrés is a scholar working on Molecular Biology, Genetics, Paleontology, Ecology and Artificial Intelligence, having authored 41 papers that have together received 640 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), Evolution and Paleontology Studies (8 papers), Bioinformatics and Genomic Networks (8 papers), Genetic diversity and population structure (8 papers), Model-Driven Software Engineering Techniques (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Logic, programming, and type systems (4 papers) and Microbial Community Ecology and Physiology (3 papers). The work is most often cited by research in Paleontology (75 citations), Ecology (231 citations), Software (28 citations), Molecular Biology (350 citations) and Genetics (135 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, Joan Carles Pons, Nikos C. Kyrpides, Natalia Ivanova, Reiko Heckel and Gerhard J. Herndl. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, PLoS ONE, BMC Bioinformatics, Mathematical Structures in Computer Science and Bioinformatics.

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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