Montserrat Puiggròs

18.6k citations
10 papers · 232 indexed · h-index 7
    • Cancer Genomics and Diagnostics 4
    • Genomics and Rare Diseases 2
    • Chronic Lymphocytic Leukemia Research 1
    • Genomics and Phylogenetic Studies 3
    • Mitochondrial Function and Pathology 2
    • Glycosylation and Glycoproteins Research 1
    • Single-cell and spatial transcriptomics 1
    • Genomics and Rare Diseases 2
    • Chronic Lymphocytic Leukemia Research 1
    • Neural Networks and Applications 1

Montserrat Puiggròs

10 papers receiving 228 citations

Peers

Montserrat Puiggròs
Comparison fields: 5 of 56
  • Cancer Research 54
  • Genetics 26
  • Molecular Biology 165
  • Immunology 36
  • Genetics 47
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Katrina Learned United States
Cristiano Guttà Germany
Robin Steinhaus Germany
Zhangzhang Lan China
Sebastian Fröhler Germany
Diana Cai United States
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Gregory Papagregoriou Cyprus
Roza Berhanu Lemma Norway
Janne J. Turunen Sweden
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Citations per year

Countries citing papers authored by Montserrat Puiggròs

Since Specialization
Citations

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

Fields of papers citing papers by Montserrat Puiggròs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1 20241
2 20238
3 201927
4 201674
5 201431
6 201448
7 201223
8 201213
9 20072
10
Automatic characterization of ornamentation from bassoon recordings for expressive synthesis
20065

About Montserrat Puiggròs

Montserrat Puiggròs is a scholar working on Cancer Research, Molecular Biology and Signal Processing, having authored 10 papers that have together received 232 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Genomics and Phylogenetic Studies (3 papers), Genomics and Rare Diseases (2 papers), Mitochondrial Function and Pathology (2 papers), Glycosylation and Glycoproteins Research (1 paper), Single-cell and spatial transcriptomics (1 paper), Neural Networks and Applications (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Cancer Research (54 citations), Genetics (26 citations) and Molecular Biology (165 citations). Montserrat Puiggròs has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include David Torrents, Romina Royo, Enrique Carrillo de Santa Pau, David Richardson, Stamatina Fragkogianni, Paul Flicek, Alfonso Valencia, José M. Fernández, Laura Clarke and Daniel Rico. Their work appears in journals such as Cell Genomics, Nature Communications, Bioinformatics, PLoS Genetics and Cell Systems.

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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