Gianluca Della Vedova

65 papers and 683 indexed citations i.

About

Gianluca Della Vedova is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Gianluca Della Vedova has authored 65 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 20 papers in Artificial Intelligence and 14 papers in Genetics. Recurrent topics in Gianluca Della Vedova’s work include Genomics and Phylogenetic Studies (30 papers), Algorithms and Data Compression (13 papers) and Cancer Genomics and Diagnostics (11 papers). Gianluca Della Vedova is often cited by papers focused on Genomics and Phylogenetic Studies (30 papers), Algorithms and Data Compression (13 papers) and Cancer Genomics and Diagnostics (11 papers). Gianluca Della Vedova collaborates with scholars based in Italy, United States and Canada. Gianluca Della Vedova's co-authors include Paola Bonizzoni, Riccardo Dondi, Tao Jiang, James Borneman, Yuri Pirola, Raffaella Rizzi, Lea Valinsky, Marek Chrobák, Murray Patterson and Stefano Beretta and has published in prestigious journals such as Bioinformatics, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Co-authorship network of co-authors of Gianluca Della Vedova i

Fields of papers citing papers by Gianluca Della Vedova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gianluca Della Vedova. 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 Gianluca Della Vedova. The network helps show where Gianluca Della Vedova may publish in the future.

Countries citing papers authored by Gianluca Della Vedova

Since Specialization
Citations

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

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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