Michele Donati

65 total papers · 855 total citations
47 papers, 546 citations indexed

About

Michele Donati is a scholar working on Oncology, Molecular Biology and Dermatology. According to data from OpenAlex, Michele Donati has authored 47 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 14 papers in Molecular Biology and 12 papers in Dermatology. Recurrent topics in Michele Donati's work include Cutaneous Melanoma Detection and Management (20 papers), Cancer and Skin Lesions (8 papers) and Melanoma and MAPK Pathways (8 papers). Michele Donati is often cited by papers focused on Cutaneous Melanoma Detection and Management (20 papers), Cancer and Skin Lesions (8 papers) and Melanoma and MAPK Pathways (8 papers). Michele Donati collaborates with scholars based in Italy, Czechia and Sweden. Michele Donati's co-authors include Giovanni Paolino, Dario Didona, Santo Raffaele Mercuri, Dmitry V. Kazakov, Carmen Cantisani, Luca Fania, Francesco Ricci, Francesca Ricci, Roberto Morese and Elena Dellambra and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and The American Journal of Surgical Pathology.

In The Last Decade

Michele Donati

43 papers receiving 538 citations

Hit Papers

Cutaneous Squamous Cell C... 2021 2026 2022 2024 2021 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Michele Donati 238 186 146 137 127 47 546
Hasan Rizvi 217 0.9× 198 1.1× 119 0.8× 135 1.0× 80 0.6× 29 539
Gabriella Brancaccio 291 1.2× 163 0.9× 171 1.2× 121 0.9× 165 1.3× 61 604
Noriki Fujimoto 156 0.7× 139 0.7× 147 1.0× 115 0.8× 96 0.8× 76 585
Arturo Di Blasi 276 1.2× 145 0.8× 125 0.9× 153 1.1× 97 0.8× 24 569
Luigi Rossiello 252 1.1× 136 0.7× 125 0.9× 116 0.8× 123 1.0× 30 554
K. Aroni 105 0.4× 111 0.6× 198 1.4× 125 0.9× 72 0.6× 45 559
Masahito Yasuda 133 0.6× 130 0.7× 125 0.9× 143 1.0× 94 0.7× 50 529
Paula M. DeAngelis 182 0.8× 139 0.7× 91 0.6× 149 1.1× 102 0.8× 21 463
Laura Susok 274 1.2× 100 0.5× 147 1.0× 111 0.8× 103 0.8× 64 602
Rocío Salgado 176 0.7× 131 0.7× 201 1.4× 168 1.2× 108 0.9× 31 517

Countries citing papers authored by Michele Donati

Since Specialization
Citations

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

Fields of papers citing papers by Michele Donati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Donati

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