Massimo Danna

35 total papers · 2.6k total citations
22 papers, 1.9k citations indexed

About

Massimo Danna is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Radiation. According to data from OpenAlex, Massimo Danna has authored 22 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Cognitive Neuroscience and 5 papers in Radiation. Recurrent topics in Massimo Danna's work include Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced Radiotherapy Techniques (5 papers). Massimo Danna is often cited by papers focused on Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced Radiotherapy Techniques (5 papers). Massimo Danna collaborates with scholars based in Italy, United States and Germany. Massimo Danna's co-authors include Daniela Perani, Stefano F. Cappa, Ferruccio Fazio, Maria Cristina Saccuman, Paola Scifo, Marco Tettamanti, Giacomo Rizzolatti, Giovanni Buccino, Vittorio Gallese and Gianluca Perseghin and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American College of Cardiology and NeuroImage.

In The Last Decade

Massimo Danna

22 papers receiving 1.8k citations

Hit Papers

Listening to Action-relat... 2005 2026 2012 2019 2005 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Massimo Danna 779 771 497 425 397 22 1.9k
C. J. Moore 439 0.6× 2.3k 3.0× 451 0.9× 916 2.2× 240 0.6× 36 2.9k
Janet C. Sherman 162 0.2× 667 0.9× 116 0.2× 139 0.3× 339 0.9× 50 2.7k
E. Meyer 79 0.1× 1.0k 1.3× 157 0.3× 262 0.6× 423 1.1× 25 1.7k
Ann M. Peiffer 136 0.2× 652 0.8× 356 0.7× 103 0.2× 532 1.3× 55 2.6k
Stuart C. Ramsay 295 0.4× 2.0k 2.6× 362 0.7× 649 1.5× 516 1.3× 33 3.0k
Johan Mårtensson 123 0.2× 801 1.0× 167 0.3× 183 0.4× 587 1.5× 51 1.8k
R.D. Hichwa 124 0.2× 1.3k 1.7× 204 0.4× 97 0.2× 569 1.4× 30 2.1k
Johannes M. Hoogduin 118 0.2× 736 1.0× 145 0.3× 95 0.2× 844 2.1× 41 1.9k
Karim Rezai 112 0.1× 1.4k 1.8× 212 0.4× 126 0.3× 643 1.6× 47 2.8k
Henry A. Buchtel 206 0.3× 1.8k 2.4× 426 0.9× 108 0.3× 254 0.6× 63 2.9k

Countries citing papers authored by Massimo Danna

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Danna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Danna

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Danna. A scholar is included among the top collaborators of Massimo Danna 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 Danna. Massimo Danna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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