Nicola Buso

8.5k citations
5 papers · 5.2k indexed · 3 hit papers · h-index 5
Topics
Genomics and Phylogenetic Studies (5 papers)Biomedical Text Mining and Ontologies (2 papers)Machine Learning in Bioinformatics (1 paper)
Partner nations
United Kingdom

In The Last Decade

Nicola Buso

5 papers receiving 5.2k citations

Hit Papers

The EMBL-EBI search and sequence analysis tool...201320262017202120192013201510002.0k3.0k

Peers

Nicola Buso
Comparison fields: 5 of 147
  • Molecular Biology 3.1k
  • Plant Science 944
  • Genetics 594
  • Ecology 582
  • Infectious Diseases 558
Replace Fábio Madeira with:
Fábio Madeira United Kingdom
Nandana Madhusoodanan United Kingdom
Adrian R. Tivey United Kingdom
Tamer Gür United Kingdom
Young Mi Park South Korea
Joon Lee South Korea
François Chevenet France
Kevin Bryson United Kingdom
Alper Küçükural United States
Renata C. Geer United States
Nicola Buso relative to Fábio Madeira United Kingdom Fábio Madeira's profile →
Citations per field
00.5×10×20×30×42×
Fábio Madeira · 1×
Citations per year

Countries citing papers authored by Nicola Buso

Since Specialization
Citations

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

Fields of papers citing papers by Nicola Buso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Buso

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Buso. A scholar is included among the top collaborators of Nicola Buso based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicola Buso. Nicola Buso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1
The EMBL-EBI search and sequence analysis tools APIs in 2019breakdown →
3055
2 20
3 27
4
The EMBL-EBI bioinformatics web and programmatic tools frameworkbreakdown →
791
5
Analysis Tool Web Services from the EMBL-EBIbreakdown →
1304

About Nicola Buso

Nicola Buso is a scholar working on Molecular Biology, Spectroscopy and Ecology, having authored 5 papers that have together received 5.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Biomedical Text Mining and Ontologies (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Molecular Biology (3.1k citations), Endocrinology (197 citations) and Aging (55 citations). Nicola Buso has collaborated with scholars based in United Kingdom. Frequent co-authors include Rodrigo López, Young Mi Park, Tamer Gür, Nandana Madhusoodanan, ROBERT FINN, Joon Lee, Fábio Madeira, Simon Potter, Adrian R. Tivey and Silvano Squizzato. Their work appears in journals such as Nucleic Acids Research.

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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