Massimo Donadelli

128 total papers · 13.7k total citations
90 papers, 4.0k citations indexed

About

Massimo Donadelli is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Massimo Donadelli has authored 90 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 38 papers in Oncology and 32 papers in Cancer Research. Recurrent topics in Massimo Donadelli's work include Cancer, Hypoxia, and Metabolism (24 papers), Autophagy in Disease and Therapy (20 papers) and Cancer-related Molecular Pathways (17 papers). Massimo Donadelli is often cited by papers focused on Cancer, Hypoxia, and Metabolism (24 papers), Autophagy in Disease and Therapy (20 papers) and Cancer-related Molecular Pathways (17 papers). Massimo Donadelli collaborates with scholars based in Italy, Spain and United States. Massimo Donadelli's co-authors include Marta Palmieri, Ilaria Dando, Elisa Dalla Pozza, Aldo Scarpa, Marco Cordani, Maria Teresa Scupoli, Raffaella Pacchiana, Claudia Fiorini, Chiara Costanzo and Giovanna Butera and has published in prestigious journals such as Nucleic Acids Research, Blood and PLoS ONE.

In The Last Decade

Massimo Donadelli

87 papers receiving 4.0k citations

Hit Papers

To metabolomics and beyon... 2023 2026 2024 2023 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
Massimo Donadelli 2.5k 1.1k 1.0k 596 336 90 4.0k
Marta Palmieri 1.9k 0.8× 898 0.9× 784 0.8× 462 0.8× 232 0.7× 76 3.3k
Eri S. Srivatsan 2.1k 0.8× 1.0k 1.0× 747 0.7× 395 0.7× 323 1.0× 75 4.0k
Zhen Dong 2.7k 1.1× 948 0.9× 954 0.9× 453 0.8× 272 0.8× 127 4.4k
Naihan Xu 3.1k 1.2× 785 0.7× 1.2k 1.2× 665 1.1× 190 0.6× 82 4.3k
Alakananda Basu 3.3k 1.3× 1.4k 1.3× 607 0.6× 666 1.1× 326 1.0× 109 5.1k
Lin Zhao 2.6k 1.1× 850 0.8× 1.5k 1.5× 477 0.8× 290 0.9× 97 4.4k
Vittorio Colantuoni 2.8k 1.1× 876 0.8× 731 0.7× 505 0.8× 480 1.4× 124 4.6k
Lin Xiao 2.5k 1.0× 1.0k 1.0× 593 0.6× 552 0.9× 323 1.0× 87 4.1k
Yongjun Dang 3.3k 1.3× 1.0k 1.0× 717 0.7× 638 1.1× 240 0.7× 99 5.1k
Weiqin Jiang 2.0k 0.8× 1.2k 1.1× 832 0.8× 460 0.8× 555 1.7× 129 4.4k

Countries citing papers authored by Massimo Donadelli

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Donadelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Donadelli

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