Francesco Piva

153 papers and 4.4k indexed citations i.

About

Francesco Piva is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Francesco Piva has authored 153 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 29 papers in Oncology and 23 papers in Cancer Research. Recurrent topics in Francesco Piva’s work include Stress Responses and Cortisol (20 papers), Hypothalamic control of reproductive hormones (18 papers) and Neuropeptides and Animal Physiology (16 papers). Francesco Piva is often cited by papers focused on Stress Responses and Cortisol (20 papers), Hypothalamic control of reproductive hormones (18 papers) and Neuropeptides and Animal Physiology (16 papers). Francesco Piva collaborates with scholars based in Italy, United States and Spain. Francesco Piva's co-authors include Giovanni Principato, Matteo Giulietti, L. Martini, Matteo Santoni, Rodolfo Montironi, Giulia Occhipinti, Maura Benedetti, Francesco Massari, Daniele Fattorini and Francesco Regoli and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Co-authorship network of co-authors of Francesco Piva i

Fields of papers citing papers by Francesco Piva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Piva

Since Specialization
Citations

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