Pol Cuscó

554 citations
6 papers · 241 · h-index 5

Impact in

    • Genomics and Chromatin Dynamics
    • Genomics and Phylogenetic Studies
    • Single-cell and spatial transcriptomics
    • CRISPR and Genetic Engineering
    • Gene expression and cancer classification
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • Epigenetics and DNA Methylation

Papers in

    • Machine Learning in Bioinformatics 2
    • Gene expression and cancer classification 2
    • Genomics and Phylogenetic Studies 2
    • Genomics and Chromatin Dynamics 2
    • RNA Research and Splicing 1
    • Genetic Mapping and Diversity in Plants and Animals 1

Pol Cuscó

6 papers receiving 237 citations

Peers

Pol Cuscó
Comparison fields: 5 of 56
  • Molecular Biology 202
  • Cancer Research 27
  • Virology 6
  • Aging 2
  • Genetics 11
Replace Christophe D. Chabbert with:
Christophe D. Chabbert United States
Joana Petrescu United States
Gergana Velikova United Kingdom
Samuel Wieczorek France
Deepak Purushotham United States
Loredana Le Pera Italy
Kenneth S. Sabir Australia
Babu V. Sajesh Canada
S.A. Szostek United States
Pol Cuscó relative to Christophe D. Chabbert United States Christophe D. Chabbert's profile →
Citations per field
00.5×1.5×
Christophe D. Chabbert · 1×
Citations per year

Countries citing papers authored by Pol Cuscó

Since Specialization
Citations

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

Fields of papers citing papers by Pol Cuscó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown

About Pol Cuscó

Pol Cuscó is a scholar working on Molecular Biology, Genetics, Genetics, Virology and Epidemiology, having authored 6 papers that have together received 241 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (2 papers), Gene expression and cancer classification (2 papers), Genomics and Phylogenetic Studies (2 papers), Genomics and Chromatin Dynamics (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), RNA Research and Splicing (1 paper), Enzyme Structure and Function (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Molecular Biology (202 citations), Cancer Research (27 citations), Virology (6 citations), Aging (2 citations) and Genetics (11 citations). Pol Cuscó has collaborated with scholars based in Spain, Netherlands and China. Frequent co-authors include Guillaume J. Filion, Eduard Zorita, Paula Soler-Vila, Marc A. Martı́-Renom, Marco Di Stefano, Irene Farabella, Guillem Clot, Sı́lvia Beà, Marta Gut and Núria Verdaguer-Dot. Their work appears in journals such as Nature Communications, Bioinformatics, Nucleic Acids Research 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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