Massimiliano Germani

20 papers and 727 indexed citations i.

About

Massimiliano Germani is a scholar working on Modeling and Simulation, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Massimiliano Germani has authored 20 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Modeling and Simulation, 7 papers in Molecular Biology and 5 papers in Computational Theory and Mathematics. Recurrent topics in Massimiliano Germani’s work include Mathematical Biology Tumor Growth (9 papers), Computational Drug Discovery Methods (5 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Massimiliano Germani is often cited by papers focused on Mathematical Biology Tumor Growth (9 papers), Computational Drug Discovery Methods (5 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Massimiliano Germani collaborates with scholars based in Italy, United States and Belgium. Massimiliano Germani's co-authors include Maurizio Rocchetti, Paolo Magni, Italo Poggesi, Giuseppe De Nicolao, Enrico Pesenti, Monica Simeoni, Valter Croci, Francesco Fiorentini, Silvia Consalvi and V. Monzani and has published in prestigious journals such as Cancer Research, Stroke and European Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Massimiliano Germani i

Fields of papers citing papers by Massimiliano Germani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimiliano Germani

Since Specialization
Citations

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