Monica Landi

23 papers and 663 indexed citations i.

About

Monica Landi is a scholar working on Genetics, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Monica Landi has authored 23 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 10 papers in Molecular Biology and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Monica Landi’s work include Identification and Quantification in Food (10 papers), Insect and Arachnid Ecology and Behavior (8 papers) and Plant and animal studies (8 papers). Monica Landi is often cited by papers focused on Identification and Quantification in Food (10 papers), Insect and Arachnid Ecology and Behavior (8 papers) and Plant and animal studies (8 papers). Monica Landi collaborates with scholars based in Italy, United States and Portugal. Monica Landi's co-authors include Filipe O. Costa, Fausto Tinti, Rogélia Martins, Miguel Carneiro, Gary R. Carvalho, Thomas Knebelsberger, Michael J. Raupach, Stefano Turillazzi, Giulia Riccioni and Guido Barbujani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Molecular Ecology.

In The Last Decade

Co-authorship network of co-authors of Monica Landi i

Fields of papers citing papers by Monica Landi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Monica Landi

Since Specialization
Citations

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