Maria Teresa Landi

15 papers and 579 indexed citations i.

About

Maria Teresa Landi is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Maria Teresa Landi has authored 15 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Maria Teresa Landi’s work include Genetic Associations and Epidemiology (5 papers), Bioinformatics and Genomic Networks (4 papers) and RNA modifications and cancer (3 papers). Maria Teresa Landi is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Bioinformatics and Genomic Networks (4 papers) and RNA modifications and cancer (3 papers). Maria Teresa Landi collaborates with scholars based in United States, Italy and Canada. Maria Teresa Landi's co-authors include Fred F. Kadlubar, Nicholas P. Lang, Rajiv Sinha, Daniel Pinkel, Paola Minghetti, Ruth M. Pfeiffer, Peter A. Kanetsky, Jürgen Bauer, David E. Elder and Boris C. Bastian and has published in prestigious journals such as Science, Journal of the American Statistical Association and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Maria Teresa Landi i

Fields of papers citing papers by Maria Teresa Landi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria Teresa Landi

Since Specialization
Citations

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