Fabrizio Costa

4.5k total citations
45 papers, 1.0k citations indexed

About

Fabrizio Costa is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Fabrizio Costa has authored 45 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 17 papers in Artificial Intelligence and 4 papers in Computational Theory and Mathematics. Recurrent topics in Fabrizio Costa's work include RNA and protein synthesis mechanisms (15 papers), RNA modifications and cancer (9 papers) and Machine Learning in Bioinformatics (8 papers). Fabrizio Costa is often cited by papers focused on RNA and protein synthesis mechanisms (15 papers), RNA modifications and cancer (9 papers) and Machine Learning in Bioinformatics (8 papers). Fabrizio Costa collaborates with scholars based in Germany, Italy and United Kingdom. Fabrizio Costa's co-authors include Rolf Backofen, Kurt De Grave, Paolo Frasconi, Sita J. Lange, Daniel Maticzka, Celine Vens, Vincenzo Lombardo, Shiraz A. Shah, Sita J. Saunders and Omer S. Alkhnbashi and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Fabrizio Costa

40 papers receiving 1.0k citations

Peers

Countries citing papers authored by Fabrizio Costa

Since Specialization

Citations

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

Fields of papers citing papers by Fabrizio Costa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Costa

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Costa. A scholar is included among the top collaborators of Fabrizio Costa 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 Fabrizio Costa. Fabrizio Costa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Secondary metabolite profiling deciphers the phenolic and volatile organic compound diversity within an interspecific Malus collection 2025 ·Horticultural Plant Journal ·(unknown), (unknown), Iuliia Khomenko, (unknown), Domenico Masuero, (unknown), Nicola Busatto, Walter Guerra, (unknown), Fabrizio Costa, Brian Farneti	0
2	Heterogeneous networks integration for disease–gene prioritization with node kernels 2020 ·Bioinformatics ·Tran Van Dinh, Alessandro Sperduti, Rolf Backofen, Fabrizio Costa	17
3	ShaKer: RNA SHAPE prediction using graph kernel 2019 ·Bioinformatics ·(unknown), (unknown), Milad Miladi, Martin Raden, Fabrizio Costa, Rolf Backofen	7
4	GraphClust2: Annotation and discovery of structured RNAs with scalable and accessible integrative clustering 2019 ·GigaScience ·Milad Miladi, (unknown), Torsten Houwaart, Steffen Heyne, Fabrizio Costa, Björn Grüning, Rolf Backofen	11
5	The conjunctive disjunctive graph node kernel for disease gene prioritization 2018 ·Neurocomputing ·Tran Van Dinh, Alessandro Sperduti, Fabrizio Costa	4
6	GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge 2018 ·Nature Communications ·Fabrizio Costa, Dominic Grün, Rolf Backofen	8
7	The Conjunctive Disjunctive Node Kernel 2017 ·Research Padua Archive (University of Padua) ·Tran Van Dinh, Alessandro Sperduti, Fabrizio Costa	0
8	Fast hyperparameter selection for graph kernels via subsampling and multiple kernel learning. 2017 ·Research Padua Archive (University of Padua) ·Michele Donini, Nicolò Navarin, Ivano Lauriola, Fabio Aiolli, Fabrizio Costa	4
9	Learning an efficient constructive sampler for graphs 2016 ·Artificial Intelligence ·Fabrizio Costa	2
10	RNAsynth: constraints learning for RNA inverse folding. 2016 ·The European Symposium on Artificial Neural Networks ·Fabrizio Costa, (unknown), (unknown)	0
11	Formalin-Fixed, Paraffin-Embedded Tissues (FFPE) as a Robust Source for the Profiling of Native and Protease-Generated Protein Amino Termini 2016 ·Molecular & Cellular Proteomics ·Zon Weng Lai, (unknown), Lars Nilse, Fabrizio Costa, (unknown), Martina Tholen, Jayachandran N. Kizhakkedathu, Martin L. Biniossek, Peter Bronsert, Oliver Schilling	14
12	AptaTRACE Elucidates RNA Sequence-Structure Motifs from Selection Trends in HT-SELEX Experiments 2016 ·Cell Systems ·(unknown), Jan Hoinka, Mayumí Takáhashi, Jiehua Zhou, Michelle Ho, (unknown), Fabrizio Costa, John J. Rossi, Rolf Backofen, John Burnett, Teresa M. Przytycka	53
13	Bioinformatics of prokaryotic RNAs 2014 ·RNA Biology ·Rolf Backofen, Fabian Amman, Fabrizio Costa, Sven Findeiß, Andreas S. Richter, Peter F. Stadler	10
14	kLog: A language for logical and relational learning with kernels 2014 ·Artificial Intelligence ·Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave	26
15	A graph kernel approach for alignment-free domain–peptide interaction prediction with an application to human SH3 domains 2013 ·Bioinformatics ·Kousik Kundu, Fabrizio Costa, Rolf Backofen	13
16	GraphClust: alignment-free structural clustering of local RNA secondary structures 2012 ·Bioinformatics ·Steffen Heyne, Fabrizio Costa, Dominic Rose, Rolf Backofen	54
17	Fast Neighborhood Subgraph Pairwise Distance Kernel 2010 ·Lirias (KU Leuven) ·Fabrizio Costa, Kurt De Grave	107
18	Maximum common subgraph mining: A fast and effective approach towards feature generation 2009 ·Lirias (KU Leuven) ·Leander Schietgat, Fabrizio Costa, Jan Ramon, Luc De Raedt	7
19	Enhancing first-pass attachment prediction 2002 ·European Conference on Artificial Intelligence ·Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Patrick Sturt, G. Soda	2
20	A topological transformation for hidden recursive modelsarchitecture networks. 1999 ·The European Symposium on Artificial Neural Networks ·Fabrizio Costa, Paolo Frasconi, G. Soda	2

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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