Giuseppe Agapito

162 total papers · 2.0k total citations
72 papers, 900 citations indexed

About

Giuseppe Agapito is a scholar working on Molecular Biology, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Giuseppe Agapito has authored 72 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 13 papers in Information Systems and 10 papers in Computational Theory and Mathematics. Recurrent topics in Giuseppe Agapito's work include Bioinformatics and Genomic Networks (39 papers), Gene expression and cancer classification (32 papers) and Data Mining Algorithms and Applications (10 papers). Giuseppe Agapito is often cited by papers focused on Bioinformatics and Genomic Networks (39 papers), Gene expression and cancer classification (32 papers) and Data Mining Algorithms and Applications (10 papers). Giuseppe Agapito collaborates with scholars based in Italy, Canada and India. Giuseppe Agapito's co-authors include Mario Cannataro, Pietro Hiram Guzzi, Mariamena Arbitrio, Marianna Milano, Barbara Calabrese, Maria Teresa Di Martino, Chiara Zucco, Pierfrancesco Tassone, Davide Chicco and Francesca Scionti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Giuseppe Agapito

67 papers receiving 879 citations

Author Peers

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

Author						Papers	Cites
Giuseppe Agapito	440	154	145	101	93	72	900
Christine Chichester	593 1.3×	64 0.4×	245 1.7×	67 0.7×	184 2.0×	31	956
Malika Smaïl‐Tabbone	330 0.8×	29 0.2×	149 1.0×	155 1.5×	124 1.3×	49	940
Marco Brandizi	797 1.8×	96 0.6×	119 0.8×	35 0.3×	72 0.8×	18	1.1k
Ira J. Kalet	189 0.4×	42 0.3×	158 1.1×	56 0.6×	63 0.7×	60	1000
Vishal Bhatnagar	146 0.3×	162 1.1×	177 1.2×	135 1.3×	27 0.3×	124	998
Edward J. Dougherty	316 0.7×	104 0.7×	77 0.5×	43 0.4×	13 0.1×	33	1.0k
Hany Alashwal	188 0.4×	113 0.7×	188 1.3×	38 0.4×	51 0.5×	43	933
Claude Pasquier	498 1.1×	74 0.5×	61 0.4×	34 0.3×	39 0.4×	43	790
Jessica D. Tenenbaum	426 1.0×	47 0.3×	188 1.3×	71 0.7×	27 0.3×	52	1.0k
Gayo Diallo	281 0.6×	133 0.9×	298 2.1×	37 0.4×	109 1.2×	104	733

Countries citing papers authored by Giuseppe Agapito

Since Specialization

Citations

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

Fields of papers citing papers by Giuseppe Agapito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Agapito

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Agapito. A scholar is included among the top collaborators of Giuseppe Agapito 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 Giuseppe Agapito. Giuseppe Agapito 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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