Maurizio La Mura

8 papers and 214 indexed citations i.

About

Maurizio La Mura is a scholar working on Plant Science, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Maurizio La Mura has authored 8 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Molecular Biology and 3 papers in Organic Chemistry. Recurrent topics in Maurizio La Mura’s work include Genetic diversity and population structure (3 papers), Edible Oils Quality and Analysis (3 papers) and Genetically Modified Organisms Research (2 papers). Maurizio La Mura is often cited by papers focused on Genetic diversity and population structure (3 papers), Edible Oils Quality and Analysis (3 papers) and Genetically Modified Organisms Research (2 papers). Maurizio La Mura collaborates with scholars based in Italy, United Kingdom and Portugal. Maurizio La Mura's co-authors include David Lee, Theo R. Allnutt, W. Powell, Rosa Rao, Giandomenico Corrado, Enzo Perri, Paola Varricchio, David Lee, Andrew J. Greenland and Ian Mackay and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Genome.

In The Last Decade

Co-authorship network of co-authors of Maurizio La Mura i

Fields of papers citing papers by Maurizio La Mura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maurizio La Mura. 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 Maurizio La Mura. The network helps show where Maurizio La Mura may publish in the future.

Countries citing papers authored by Maurizio La Mura

Since Specialization
Citations

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