Nicola Buso

8.5k total citations · 3 hit papers
5 papers, 5.2k citations indexed

About

Nicola Buso is a scholar working on Molecular Biology, Ecology and Spectroscopy. According to data from OpenAlex, Nicola Buso has authored 5 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Ecology and 1 paper in Spectroscopy. Recurrent topics in Nicola Buso's work include Genomics and Phylogenetic Studies (5 papers), Biomedical Text Mining and Ontologies (2 papers) and Machine Learning in Bioinformatics (1 paper). Nicola Buso is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Biomedical Text Mining and Ontologies (2 papers) and Machine Learning in Bioinformatics (1 paper). Nicola Buso collaborates with scholars based in United Kingdom. Nicola Buso's co-authors include Young Mi Park, Rodrigo López, Tamer Gür, Simon Potter, Nandana Madhusoodanan, Fábio Madeira, Adrian R. Tivey, Joon Lee, ROBERT FINN and Silvano Squizzato and has published in prestigious journals such as Nucleic Acids Research.

In The Last Decade

Nicola Buso

5 papers receiving 5.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The EMBL-EBI search and sequence analysis tools APIs in 2019

2019 3.1k citations Fábio Madeira, Young Mi Park et al. Nucleic Acids Research profile →
Analysis Tool Web Services from the EMBL-EBI

2013 1.3k citations Hamish McWilliam, Weizhong Li et al. Nucleic Acids Research profile →
The EMBL-EBI bioinformatics web and programmatic tools framework

2015 791 citations Weizhong Li, Mahmut Uludağ et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nicola Buso United Kingdom	5	3.1k	944	594	582	558	5	5.2k
Fábio Madeira United Kingdom	9	3.2k 1.0×	916 1.0×	600 1.0×	573 1.0×	552 1.0×	14	5.4k
Adrian R. Tivey United Kingdom	7	3.2k 1.0×	1.0k 1.1×	628 1.1×	677 1.2×	605 1.1×	7	5.5k
Nandana Madhusoodanan United Kingdom	5	3.0k 1.0×	898 1.0×	583 1.0×	545 0.9×	546 1.0×	5	5.0k
Tamer Gür United Kingdom	5	2.3k 0.7×	743 0.8×	419 0.7×	442 0.8×	438 0.8×	6	3.9k
Thomas Nordahl Petersen Denmark	20	3.0k 1.0×	1.1k 1.1×	490 0.8×	733 1.3×	341 0.6×	34	5.3k
Edouard de Castro Switzerland	21	3.4k 1.1×	996 1.1×	455 0.8×	504 0.9×	316 0.6×	32	5.3k
François Chevenet France	14	2.7k 0.9×	1.4k 1.5×	502 0.8×	835 1.4×	441 0.8×	24	5.4k
Ambrish Roy United States	17	5.2k 1.7×	758 0.8×	658 1.1×	430 0.7×	573 1.0×	21	7.5k
Marco Biasini Switzerland	8	4.7k 1.5×	863 0.9×	630 1.1×	346 0.6×	608 1.1×	10	7.2k
Young Mi Park South Korea	13	4.4k 1.4×	1.5k 1.6×	753 1.3×	801 1.4×	633 1.1×	30	7.3k

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

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5 of 5 papers shown

1.

Madeira, Fábio, Young Mi Park, Joon Lee, et al.. (2019). The EMBL-EBI search and sequence analysis tools APIs in 2019. Nucleic Acids Research. 47(W1). W636–W641. 3055 indexed citations breakdown →

2.

Park, Young Mi, Silvano Squizzato, Nicola Buso, Tamer Gür, & Rodrigo López. (2017). The EBI search engine: EBI search as a service—making biological data accessible for all. Nucleic Acids Research. 45(W1). W545–W549. 20 indexed citations

3.

Squizzato, Silvano, Young Mi Park, Nicola Buso, et al.. (2015). The EBI Search engine: providing search and retrieval functionality for biological data from EMBL-EBI. Nucleic Acids Research. 43(W1). W585–W588. 27 indexed citations

4.

Li, Weizhong, Mahmut Uludağ, Tamer Gür, et al.. (2015). The EMBL-EBI bioinformatics web and programmatic tools framework. Nucleic Acids Research. 43(W1). W580–W584. 791 indexed citations breakdown →

5.

McWilliam, Hamish, Weizhong Li, Mahmut Uludağ, et al.. (2013). Analysis Tool Web Services from the EMBL-EBI. Nucleic Acids Research. 41(W1). W597–W600. 1304 indexed citations breakdown →

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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