Pol Cuscó

585 citations
7 papers · 260 · h-index 6

Impact in

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

Papers in

    • Genomics and Chromatin Dynamics 3
    • Gene expression and cancer classification 1
    • Chronic Lymphocytic Leukemia Research 1

Pol Cuscó

7 papers receiving 256 citations

Peers

Pol Cuscó
Comparison fields: 5 of 60
  • Molecular Biology 193
  • Cancer Research 28
  • Virology 6
  • Aging 2
  • Genetics 11
Replace Poorwa Awasthi with:
Poorwa Awasthi India
Christophe D. Chabbert United States
Deepak Purushotham United States
Amber R. Cutter United States
Catarina Oliveira United Kingdom
Heike Uhlmann‐Schiffler Germany
Maria E. Valieva Russia
Loredana Le Pera Italy
Cameron M. Soulette United States
Sabyasachi Baboo United States
Pol Cuscó relative to Poorwa Awasthi India Poorwa Awasthi's profile →
Citations per field
00.5×
Poorwa Awasthi · 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

7 of 7 papers shown
#Work
1 2015129
2 202178
3 202024
4 201512
5 20218
6 20166
7 20253

About Pol Cuscó

Pol Cuscó is a scholar working on Molecular Biology, Genetics, Virology, Oncology and Epidemiology, having authored 7 papers that have together received 260 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Chronic Lymphocytic Leukemia Research (1 paper), Poxvirus research and outbreaks (1 paper), Cancer Genomics and Diagnostics (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Cancer Cells and Metastasis (1 paper), Gene expression and cancer classification (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Molecular Biology (193 citations), Cancer Research (28 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, Irene Farabella, Marco Di Stefano, Paula Soler-Vila, Marc A. Martı́-Renom, Hendrik G. Stunnenberg, Dolors Colomer, Elı́as Campo and Vicente Chapaprieta. Their work appears in journals such as Nature Communications, Bioinformatics, Nucleic Acids Research, PLoS ONE and npj Breast Cancer.

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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