Daniela Butano

559 citations
5 papers · 334 · h-index 4

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Bioinformatics and Genomic Networks
    • Genomics and Phylogenetic Studies
    • Gene expression and cancer classification
    • Genomics and Chromatin Dynamics
    • Biomedical Text Mining and Ontologies
    • RNA Research and Splicing

Papers in

Daniela Butano

5 papers receiving 331 citations

Peers

Daniela Butano
Comparison fields: 5 of 62
  • Aging 28
  • Molecular Biology 228
  • Information Systems and Management 22
  • Genetics 48
  • Biophysics 8
Replace Xavier Watkins with:
Xavier Watkins United Kingdom
Mike Lyne United Kingdom
Radek Štěpán United Kingdom
Sergio Contrino United Kingdom
Antonia Lock United Kingdom
William Spooner United Kingdom
José Villaveces Germany
N. Tessa Pierce‐Ward United States
Kimberly Van Auken United States
Audald Lloret‐Villas Switzerland
Daniela Butano relative to Xavier Watkins United Kingdom Xavier Watkins's profile →
Citations per field
00.5×1.6×
Xavier Watkins · 1×
Citations per year

Countries citing papers authored by Daniela Butano

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Butano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Daniela Butano, 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 Daniela Butano Line = papers co-authored together Daniela Butano links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2012166
2 201191
3 201473
4 20223
5 20171

About Daniela Butano

Daniela Butano is a scholar working on Molecular Biology, Information Systems and Management, Genetics, Spectroscopy and Aging, having authored 5 papers that have together received 334 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers), Advanced Proteomics Techniques and Applications (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper), Evolution and Genetic Dynamics (1 paper), Scientific Computing and Data Management (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Aging (28 citations), Molecular Biology (228 citations), Information Systems and Management (22 citations), Genetics (48 citations) and Biophysics (8 citations). Daniela Butano has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Gos Micklem, Sergio Contrino, Rachel Lyne, Richard Smith, Julie Sullivan, Fengyuan Hu, Radek Štěpán, Mike Lyne, Kim Rutherford and Adrian R. Carr. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Database and Faculty of 1000 Research Ltd.

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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