Pierluigi Donini

65 total papers · 1.2k total citations
45 papers, 965 citations indexed

About

Pierluigi Donini is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Pierluigi Donini has authored 45 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 15 papers in Genetics and 9 papers in Ecology. Recurrent topics in Pierluigi Donini's work include Bacterial Genetics and Biotechnology (12 papers), RNA and protein synthesis mechanisms (10 papers) and CRISPR and Genetic Engineering (8 papers). Pierluigi Donini is often cited by papers focused on Bacterial Genetics and Biotechnology (12 papers), RNA and protein synthesis mechanisms (10 papers) and CRISPR and Genetic Engineering (8 papers). Pierluigi Donini collaborates with scholars based in Italy, United States and Germany. Pierluigi Donini's co-authors include Marshal T. Swanton, David M. Prescott, Lawrence A. Klobutcher, Fiorentina Ascenzioni, Gian Luca Scoarughi, Marialuisa Lavitrano, Gordon Edlin, Alain J. Cozzone, Hans J. Lipps and A.J. Cozzone and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Pierluigi Donini

44 papers receiving 918 citations

Hit Papers

All gene-sized DNA molecu... 1981 2026 1996 2011 1981 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Pierluigi Donini 780 301 260 199 144 45 965
Heidi Horowitz 764 1.0× 303 1.0× 74 0.3× 188 0.9× 80 0.6× 17 939
Ettore D’Ambrosio 535 0.7× 144 0.5× 154 0.6× 192 1.0× 45 0.3× 32 883
Jussi Jäntti 945 1.2× 110 0.4× 58 0.2× 115 0.6× 54 0.4× 47 1.2k
An Xiao 1.0k 1.3× 211 0.7× 76 0.3× 153 0.8× 37 0.3× 38 1.2k
Takashi Tadokoro 722 0.9× 204 0.7× 72 0.3× 107 0.5× 52 0.4× 42 917
Ogün Adebalı 958 1.2× 295 1.0× 35 0.1× 158 0.8× 73 0.5× 44 1.2k
John F. Pulitzer 736 0.9× 406 1.3× 135 0.5× 86 0.4× 427 3.0× 27 845
Milan Škorvaga 733 0.9× 252 0.8× 152 0.6× 27 0.1× 31 0.2× 38 919
Hsin‐Yue Tsai 869 1.1× 241 0.8× 57 0.2× 48 0.2× 57 0.4× 33 1.1k
Max Gruber 781 1.0× 496 1.6× 31 0.1× 60 0.3× 98 0.7× 47 1.2k

Countries citing papers authored by Pierluigi Donini

Since Specialization
Citations

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

Fields of papers citing papers by Pierluigi Donini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierluigi Donini

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