Matteo Cassandri

43 total papers · 1.4k total citations
21 papers, 728 citations indexed

About

Matteo Cassandri is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matteo Cassandri has authored 21 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matteo Cassandri's work include Sarcoma Diagnosis and Treatment (5 papers), Cancer-related gene regulation (5 papers) and RNA modifications and cancer (4 papers). Matteo Cassandri is often cited by papers focused on Sarcoma Diagnosis and Treatment (5 papers), Cancer-related gene regulation (5 papers) and RNA modifications and cancer (4 papers). Matteo Cassandri collaborates with scholars based in Italy, United Kingdom and Hong Kong. Matteo Cassandri's co-authors include Massimiliano Agostini, Gerry Melino, Michal Malewicz, Consuelo Pitolli, Artem Smirnov, Flavia Novelli, Giuseppe Raschellà, Rossella Rota, Silvia Pomella and Francesco Marampon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and International Journal of Molecular Sciences.

In The Last Decade

Matteo Cassandri

18 papers receiving 723 citations

Hit Papers

Zinc-finger proteins in h... 2017 2026 2020 2023 2017 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Matteo Cassandri 441 119 106 83 82 21 728
Consuelo Pitolli 482 1.1× 161 1.4× 129 1.2× 84 1.0× 71 0.9× 15 777
Flavia Novelli 390 0.9× 101 0.8× 104 1.0× 83 1.0× 74 0.9× 9 684
Kelly W. Henderson 548 1.2× 74 0.6× 124 1.2× 88 1.1× 148 1.8× 15 830
Melissa S. McNulty 468 1.1× 68 0.6× 88 0.8× 87 1.0× 47 0.6× 19 698
Hui Peng 435 1.0× 105 0.9× 66 0.6× 152 1.8× 38 0.5× 29 738
Hironori Matsuura 250 0.6× 72 0.6× 97 0.9× 114 1.4× 46 0.6× 24 692
Hongping Liang 383 0.9× 131 1.1× 76 0.7× 56 0.7× 102 1.2× 27 675
Ji Hye Shin 517 1.2× 194 1.6× 151 1.4× 71 0.9× 187 2.3× 28 758
Ganachari M. Nagaraja 419 1.0× 109 0.9× 145 1.4× 122 1.5× 40 0.5× 16 794
Kelly Gorres 390 0.9× 142 1.2× 115 1.1× 48 0.6× 30 0.4× 12 728

Countries citing papers authored by Matteo Cassandri

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Cassandri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Cassandri

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