Massimo Dominici

271 papers and 23.0k indexed citations i.

About

Massimo Dominici is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Massimo Dominici has authored 271 papers receiving a total of 23.0k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Oncology, 87 papers in Genetics and 82 papers in Molecular Biology. Recurrent topics in Massimo Dominici’s work include Mesenchymal stem cell research (83 papers), Cancer Cells and Metastasis (34 papers) and Tissue Engineering and Regenerative Medicine (20 papers). Massimo Dominici is often cited by papers focused on Mesenchymal stem cell research (83 papers), Cancer Cells and Metastasis (34 papers) and Tissue Engineering and Regenerative Medicine (20 papers). Massimo Dominici collaborates with scholars based in Italy, United States and Germany. Massimo Dominici's co-authors include Edwin M. Horwitz, Katarina Le Blanc, Armand Keating, R. Deans, Ineke Slaper‐Cortenbach, Ingo Mueller, Darwin J. Prockop, Diane S. Krause, F. Marini and Giulia Grisendi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Massimo Dominici i

Fields of papers citing papers by Massimo Dominici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Dominici

Since Specialization
Citations

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

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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2025