Massimo Di Vaira

177 papers and 3.8k indexed citations i.

About

Massimo Di Vaira is a scholar working on Organic Chemistry, Oncology and Inorganic Chemistry. According to data from OpenAlex, Massimo Di Vaira has authored 177 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Organic Chemistry, 95 papers in Oncology and 95 papers in Inorganic Chemistry. Recurrent topics in Massimo Di Vaira’s work include Metal complexes synthesis and properties (95 papers), Organometallic Complex Synthesis and Catalysis (72 papers) and Magnetism in coordination complexes (45 papers). Massimo Di Vaira is often cited by papers focused on Metal complexes synthesis and properties (95 papers), Organometallic Complex Synthesis and Catalysis (72 papers) and Magnetism in coordination complexes (45 papers). Massimo Di Vaira collaborates with scholars based in Italy, United Kingdom and France. Massimo Di Vaira's co-authors include Piero Stoppioni, Maurizio Peruzzini, Luigi Sacconi, L. Sacconi, Fabrizio Mani, Stefano Midollini, Pierluigi Orioli, P. Orioli, B Bruni and Stefano Seniori Costantini and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Physical Chemistry B.

In The Last Decade

Co-authorship network of co-authors of Massimo Di Vaira i

Fields of papers citing papers by Massimo Di Vaira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Di Vaira

Since Specialization
Citations

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