Daniela Malatesta

74 total papers · 811 total citations
52 papers, 635 citations indexed

About

Daniela Malatesta is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Daniela Malatesta has authored 52 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Pulmonary and Respiratory Medicine and 12 papers in Epidemiology. Recurrent topics in Daniela Malatesta's work include Veterinary Oncology Research (13 papers), Virus-based gene therapy research (11 papers) and Animal Virus Infections Studies (10 papers). Daniela Malatesta is often cited by papers focused on Veterinary Oncology Research (13 papers), Virus-based gene therapy research (11 papers) and Animal Virus Infections Studies (10 papers). Daniela Malatesta collaborates with scholars based in Italy, Switzerland and Australia. Daniela Malatesta's co-authors include Leonardo Della Salda, Mariarita Romanucci, Laura Bongiovanni, Alessio Lorusso, Donato Traversa, Guendalina Zaccaria, Giovanni Savini, Carlo Guglielmini, A. Ciccarelli and Daria Di Sabatino and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Virology.

In The Last Decade

Daniela Malatesta

52 papers receiving 629 citations

Author Peers

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

Author Last Decade Papers Cites
Daniela Malatesta 181 145 133 132 130 52 635
G. Sironi 159 0.9× 89 0.6× 72 0.5× 200 1.5× 133 1.0× 67 742
Elvio Lepri 81 0.4× 42 0.3× 210 1.6× 126 1.0× 33 0.3× 70 770
Scott P. Terrell 114 0.6× 66 0.5× 58 0.4× 95 0.7× 99 0.8× 48 709
Yoshihide SASAKI 107 0.6× 109 0.8× 59 0.4× 114 0.9× 69 0.5× 81 773
Catherine G. Lamm 113 0.6× 73 0.5× 157 1.2× 218 1.7× 95 0.7× 50 780
Carles Juan‐Sallés 94 0.5× 61 0.4× 58 0.4× 170 1.3× 110 0.8× 63 742
Scott A Bowdridge 96 0.5× 79 0.5× 36 0.3× 78 0.6× 98 0.8× 41 727
Jorge Correia 119 0.7× 147 1.0× 321 2.4× 103 0.8× 92 0.7× 56 734
Karen L. Rosenthal 124 0.7× 63 0.4× 132 1.0× 45 0.3× 69 0.5× 48 767
Lauretta Turin 86 0.5× 111 0.8× 62 0.5× 103 0.8× 78 0.6× 50 704

Countries citing papers authored by Daniela Malatesta

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Malatesta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Malatesta

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