Francesca Aiello

64 total papers · 1.1k total citations
41 papers, 869 citations indexed

About

Francesca Aiello is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Francesca Aiello has authored 41 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Oncology. Recurrent topics in Francesca Aiello's work include Renal Transplantation Outcomes and Treatments (6 papers), Nuclear Structure and Function (4 papers) and Immunotherapy and Immune Responses (4 papers). Francesca Aiello is often cited by papers focused on Renal Transplantation Outcomes and Treatments (6 papers), Nuclear Structure and Function (4 papers) and Immunotherapy and Immune Responses (4 papers). Francesca Aiello collaborates with scholars based in Italy, United States and United Kingdom. Francesca Aiello's co-authors include Mauro Brunetti, Mauro Piantelli, Franco O. Ranelletti, Cosmo Rossi, Pier Giorgio Natali, Andreina Poggi, Piero Musiani, Scott K. Durum, Luigi Maria Larocca and Mirela O. Fágárásan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Francesca Aiello

39 papers receiving 841 citations

Author Peers

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

Author Last Decade Papers Cites
Francesca Aiello 361 166 119 116 114 41 869
Masayoshi Kibata 301 0.8× 213 1.3× 142 1.2× 85 0.7× 65 0.6× 44 926
Yoshihisa Ishikawa 471 1.3× 127 0.8× 87 0.7× 126 1.1× 72 0.6× 24 996
Keiko Morikawa 320 0.9× 205 1.2× 112 0.9× 74 0.6× 86 0.8× 59 1.0k
Masaaki Kuroda 350 1.0× 160 1.0× 66 0.6× 110 0.9× 60 0.5× 48 990
Donatella Vizza 450 1.2× 63 0.4× 83 0.7× 94 0.8× 143 1.3× 31 945
G. E. Milo 403 1.1× 74 0.4× 115 1.0× 79 0.7× 117 1.0× 35 956
Hiroshi Kosano 550 1.5× 82 0.5× 89 0.7× 94 0.8× 105 0.9× 46 1.0k
Joen R. Sheu 281 0.8× 103 0.6× 97 0.8× 61 0.5× 79 0.7× 24 872
Delphine M. Lees 360 1.0× 131 0.8× 141 1.2× 58 0.5× 122 1.1× 33 1.0k
Bedia Çakmakoğlu 482 1.3× 153 0.9× 65 0.5× 92 0.8× 211 1.9× 76 963

Countries citing papers authored by Francesca Aiello

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Aiello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Aiello

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