Antonio De Donno

147 total papers · 1.1k total citations
57 papers, 700 citations indexed

About

Antonio De Donno is a scholar working on Infectious Diseases, Archeology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Antonio De Donno has authored 57 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 9 papers in Archeology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Antonio De Donno's work include Forensic Anthropology and Bioarchaeology Studies (8 papers), Viral gastroenteritis research and epidemiology (8 papers) and Restraint-Related Deaths (7 papers). Antonio De Donno is often cited by papers focused on Forensic Anthropology and Bioarchaeology Studies (8 papers), Viral gastroenteritis research and epidemiology (8 papers) and Restraint-Related Deaths (7 papers). Antonio De Donno collaborates with scholars based in Italy, Germany and France. Antonio De Donno's co-authors include Francesco Bagordo, Francesco Introna, Marcello Guido, Tiziana Grassi, Valeria Santoro, Francesca Serio, Adele Idolo, Giovanni Gabutti, Carlo Pietro Campobasso and Maria Teresa Montagna and has published in prestigious journals such as Marine Pollution Bulletin, Virology and Sustainability.

In The Last Decade

Antonio De Donno

51 papers receiving 649 citations

Author Peers

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

Author Last Decade Papers Cites
Antonio De Donno 90 79 71 71 64 57 700
Sanjeev Lalwani 10 0.1× 74 0.9× 71 1.0× 92 1.3× 117 1.8× 69 631
Marcel Simon 93 1.0× 66 0.8× 76 1.1× 87 1.2× 5 0.1× 73 900
Gayathri Ramesh 50 0.6× 9 0.1× 27 0.4× 16 0.2× 64 1.0× 70 696
L. Grenabo 20 0.2× 29 0.4× 147 2.1× 31 0.4× 9 0.1× 62 789
Daniel Malicier 39 0.4× 9 0.1× 145 2.0× 99 1.4× 33 0.5× 47 908
CM Marya 56 0.6× 29 0.4× 34 0.5× 6 0.1× 64 1.0× 65 702
Ramandeep Singh Gambhir 21 0.2× 74 0.9× 52 0.7× 4 0.1× 77 1.2× 59 626
A. Gallay 68 0.8× 261 3.3× 109 1.5× 10 0.1× 35 0.5× 29 746
Alessandro Dell’Erba 48 0.5× 35 0.4× 38 0.5× 61 0.9× 94 1.5× 64 704
Riccardo Zoja 72 0.8× 24 0.3× 59 0.8× 210 3.0× 82 1.3× 102 746

Countries citing papers authored by Antonio De Donno

Since Specialization
Citations

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

Fields of papers citing papers by Antonio De Donno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio De Donno. 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 Antonio De Donno. The network helps show where Antonio De Donno may publish in the future.

Co-authorship network of co-authors of Antonio De Donno

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio De Donno. A scholar is included among the top collaborators of Antonio De Donno 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 Antonio De Donno. Antonio De Donno 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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