Nicola Ancona

115 total papers · 2.4k total citations
71 papers, 1.7k citations indexed

About

Nicola Ancona is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Nicola Ancona has authored 71 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 17 papers in Computer Vision and Pattern Recognition and 15 papers in Artificial Intelligence. Recurrent topics in Nicola Ancona's work include Gene expression and cancer classification (12 papers), Bioinformatics and Genomic Networks (12 papers) and Neural Networks and Applications (7 papers). Nicola Ancona is often cited by papers focused on Gene expression and cancer classification (12 papers), Bioinformatics and Genomic Networks (12 papers) and Neural Networks and Applications (7 papers). Nicola Ancona collaborates with scholars based in Italy, United States and Switzerland. Nicola Ancona's co-authors include Sebastiano Stramaglia, Teresa Maria Creanza, Rosalia Maglietta, Ettore Stella, Daniele Marinazzo, A. Distante, Tomaso Poggio, Massimiliano Nitti, A. D’Addabbo and Cosimo Distante and has published in prestigious journals such as Bioinformatics, PLoS ONE and Food Chemistry.

In The Last Decade

Nicola Ancona

68 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Nicola Ancona 609 239 165 142 138 71 1.7k
Yi Zhang 272 0.4× 88 0.4× 207 1.3× 133 0.9× 153 1.1× 184 2.1k
Felix Agakov 544 0.9× 174 0.7× 463 2.8× 389 2.7× 42 0.3× 44 2.3k
Juan Zhang 348 0.6× 311 1.3× 291 1.8× 37 0.3× 55 0.4× 126 1.6k
Meng Li 216 0.4× 204 0.9× 155 0.9× 26 0.2× 172 1.2× 175 1.5k
Hua Zhou 511 0.8× 106 0.4× 283 1.7× 390 2.7× 47 0.3× 104 1.9k
Juan Liu 1.2k 1.9× 133 0.6× 418 2.5× 69 0.5× 109 0.8× 167 2.2k
Qingjie Zhao 594 1.0× 407 1.7× 143 0.9× 46 0.3× 33 0.2× 128 2.3k
Junyi Li 456 0.7× 121 0.5× 267 1.6× 51 0.4× 32 0.2× 111 1.4k
Kun Zhang 555 0.9× 184 0.8× 645 3.9× 146 1.0× 65 0.5× 114 1.9k
Xiaobo Xia 987 1.6× 146 0.6× 215 1.3× 52 0.4× 41 0.3× 74 2.0k

Countries citing papers authored by Nicola Ancona

Since Specialization
Citations

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

Fields of papers citing papers by Nicola Ancona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Ancona

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Ancona. A scholar is included among the top collaborators of Nicola Ancona 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 Ancona. Nicola Ancona 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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2026