Marco Notaro

31 total papers · 772 total citations
8 papers, 64 citations indexed

About

Marco Notaro is a scholar working on Molecular Biology, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Marco Notaro has authored 8 papers receiving a total of 64 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Marco Notaro's work include Bioinformatics and Genomic Networks (6 papers), Computational Drug Discovery Methods (3 papers) and Gene expression and cancer classification (3 papers). Marco Notaro is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Computational Drug Discovery Methods (3 papers) and Gene expression and cancer classification (3 papers). Marco Notaro collaborates with scholars based in Italy, United States and Switzerland. Marco Notaro's co-authors include Giorgio Valentini, Peter N. Robinson, Max Schubach, Jessica Gliozzo, Marco Mesiti, Elena Casiraghi, Alessandro Petrini, Marco Frasca, Alex Patak and Alberto Paccanaro and has published in prestigious journals such as Bioinformatics, PLoS ONE and Development.

In The Last Decade

Marco Notaro

8 papers receiving 63 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marco Notaro	44	18	8	7	6	8	64
M. Ughetto	33 0.8×	17 0.9×	7 0.9×	2 0.3×	16 2.7×	5	64
Khanh N. Dinh	29 0.7×	6 0.3×	14 1.8×	13 1.9×	8 1.3×	10	57
Yanshuo Chu	42 1.0×	15 0.8×	9 1.1×	12 1.7×	4 0.7×	13	53
Huifang Lü	44 1.0×	27 1.5×	17 2.1×	9 1.3×	5 0.8×	5	77
Ravi Mathur	56 1.3×	14 0.8×	3 0.4×	12 1.7×	11 1.8×	9	98
Chendi Wang	53 1.2×	6 0.3×	12 1.5×	12 1.7×	4 0.7×	6	81
Wesley J. Maddox	46 1.0×	16 0.9×	22 2.8×	4 0.6×	4 0.7×	5	68
Guillaume Richard	52 1.2×	23 1.3×	3 0.4×	7 1.0×	9 1.5×	7	108
Jacob Carter	48 1.1×	48 2.7×	9 1.1×	5 0.7×	6 1.0×	9	110
Cory Peterson	59 1.3×	6 0.3×	4 0.5×	3 0.4×	4 0.7×	8	80

Countries citing papers authored by Marco Notaro

Since Specialization

Citations

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

Fields of papers citing papers by Marco Notaro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Notaro

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

All Works

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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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