C Macchi

45 papers and 527 indexed citations i.

About

C Macchi is a scholar working on Cellular and Molecular Neuroscience, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, C Macchi has authored 45 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 13 papers in Surgery and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in C Macchi’s work include Neuropeptides and Animal Physiology (11 papers), Hormonal Regulation and Hypertension (11 papers) and Adipose Tissue and Metabolism (4 papers). C Macchi is often cited by papers focused on Neuropeptides and Animal Physiology (11 papers), Hormonal Regulation and Hypertension (11 papers) and Adipose Tissue and Metabolism (4 papers). C Macchi collaborates with scholars based in Italy, Poland and India. C Macchi's co-authors include Gastone G. Nussdorfer, Ludwik K. Malendowicz, L K Malendowicz, Piera Rebuffat, Raffaella Spinazzi, Krzysztof W. Nowak, Cinzia Tortorella, Agnieszka Ziółkowska, Marcin Trejter and Anna Markowska and has published in prestigious journals such as The Journal of Urology, Atherosclerosis and European Journal of Neurology.

In The Last Decade

Co-authorship network of co-authors of C Macchi i

Fields of papers citing papers by C Macchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by C Macchi

Since Specialization
Citations

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