Massimo U. De Martino

About

Massimo U. De Martino is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Oncology. According to data from OpenAlex, Massimo U. De Martino has authored 13 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Massimo U. De Martino’s work include Estrogen and related hormone effects (4 papers), Immune Response and Inflammation (3 papers) and Hormonal Regulation and Hypertension (3 papers). Massimo U. De Martino is often cited by papers focused on Estrogen and related hormone effects (4 papers), Immune Response and Inflammation (3 papers) and Hormonal Regulation and Hypertension (3 papers). Massimo U. De Martino collaborates with scholars based in United States, Italy and Greece. Massimo U. De Martino's co-authors include Tomoshige Kino, George P. Chrousos, Salvatore Alesci, Evangelia Charmandari, Marco Mirani, Andrea Fabbri, Takamasa Ichijo, George P. Chrousos, Massimiliano Caprio and Yihong Wan and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and The FASEB Journal.

In The Last Decade

Co-authorship network of co-authors of Massimo U. De Martino i

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Fields of papers citing papers by Massimo U. De Martino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo U. De Martino. 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 Massimo U. De Martino. The network helps show where Massimo U. De Martino may publish in the future.

Countries citing papers authored by Massimo U. De Martino

Since Specialization

Citations

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