P. Pennisi

51 papers and 1.7k indexed citations i.

About

P. Pennisi is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cancer Research. According to data from OpenAlex, P. Pennisi has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Endocrinology, Diabetes and Metabolism, 22 papers in Molecular Biology and 11 papers in Cancer Research. Recurrent topics in P. Pennisi’s work include Growth Hormone and Insulin-like Growth Factors (25 papers), Metabolism, Diabetes, and Cancer (10 papers) and Cancer, Hypoxia, and Metabolism (10 papers). P. Pennisi is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (25 papers), Metabolism, Diabetes, and Cancer (10 papers) and Cancer, Hypoxia, and Metabolism (10 papers). P. Pennisi collaborates with scholars based in Italy, Argentina and United States. P. Pennisi's co-authors include Shoshana Yakar, Héctor Jasper, C. E. Fiore, Derek LeRoith, Horacio M. Domené, María Gabriela Ropelato, Juan J. Heinrich, Hong Zhao, Alicia S. Martínez and Hyunsook Kim and has published in prestigious journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of P. Pennisi i

Fields of papers citing papers by P. Pennisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by P. Pennisi

Since Specialization
Citations

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