Mario Pazzagli

179 papers and 5.8k indexed citations i.

About

Mario Pazzagli is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Mario Pazzagli has authored 179 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 43 papers in Oncology and 39 papers in Cancer Research. Recurrent topics in Mario Pazzagli’s work include Cancer Genomics and Diagnostics (30 papers), Molecular Biology Techniques and Applications (27 papers) and Hormonal and reproductive studies (17 papers). Mario Pazzagli is often cited by papers focused on Cancer Genomics and Diagnostics (30 papers), Molecular Biology Techniques and Applications (27 papers) and Hormonal and reproductive studies (17 papers). Mario Pazzagli collaborates with scholars based in Italy, Germany and United Kingdom. Mario Pazzagli's co-authors include Claudio Orlando, Pamela Pinzani, Francesca Salvianti, Stefania Gelmini, Lisa Simi, Simonetta Bianchi, Giovanna Vona, V. Distante, Milena Paglierani and Carmela Tricarico and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Analytical Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Mario Pazzagli i

Fields of papers citing papers by Mario Pazzagli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Pazzagli

Since Specialization
Citations

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