Carmela Passaro

57 total papers · 1.7k total citations
21 papers, 700 citations indexed

About

Carmela Passaro is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Carmela Passaro has authored 21 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 12 papers in Molecular Biology and 11 papers in Oncology. Recurrent topics in Carmela Passaro's work include Virus-based gene therapy research (13 papers), CAR-T cell therapy research (6 papers) and Cancer Research and Treatments (6 papers). Carmela Passaro is often cited by papers focused on Virus-based gene therapy research (13 papers), CAR-T cell therapy research (6 papers) and Cancer Research and Treatments (6 papers). Carmela Passaro collaborates with scholars based in Italy, United States and United Kingdom. Carmela Passaro's co-authors include Giuseppe Portella, Paolo Chieffi, Ginevra Botta, E. Antonio Chiocca, Silvana Libertini, Vincenzo Gigantino, Sean Lawler, Renato Franco, Hiroshi Nakashima and Hirotaka Ito and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Carmela Passaro

20 papers receiving 682 citations

Author Peers

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

Author Last Decade Papers Cites
Carmela Passaro 355 334 300 106 101 21 700
Hilary M. Sheppard 534 1.5× 215 0.6× 211 0.7× 80 0.8× 61 0.6× 34 763
Nathalie Cella 432 1.2× 318 1.0× 145 0.5× 250 2.4× 144 1.4× 20 847
Asunción Fernández‐Barral 360 1.0× 262 0.8× 110 0.4× 210 2.0× 58 0.6× 18 749
Chen-Hua Chuang 601 1.7× 199 0.6× 135 0.5× 185 1.7× 103 1.0× 16 849
Jui‐Lan Su 418 1.2× 125 0.4× 154 0.5× 95 0.9× 86 0.9× 21 841
Marta I. Gallego 434 1.2× 435 1.3× 171 0.6× 116 1.1× 60 0.6× 19 829
Vivek Shukla 581 1.6× 195 0.6× 234 0.8× 99 0.9× 70 0.7× 33 864
Kaoru Toyama 499 1.4× 233 0.7× 166 0.6× 122 1.2× 52 0.5× 34 815
M C S Armelin 554 1.6× 181 0.5× 147 0.5× 125 1.2× 111 1.1× 23 800
Laudine Communal 284 0.8× 214 0.6× 195 0.7× 113 1.1× 159 1.6× 24 705

Countries citing papers authored by Carmela Passaro

Since Specialization
Citations

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

Fields of papers citing papers by Carmela Passaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmela Passaro

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