M G Premrov

9 papers and 407 indexed citations i.

About

M G Premrov is a scholar working on Epidemiology, Physiology and Immunology. According to data from OpenAlex, M G Premrov has authored 9 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Physiology and 4 papers in Immunology. Recurrent topics in M G Premrov’s work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (4 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). M G Premrov is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (4 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). M G Premrov collaborates with scholars based in Italy. M G Premrov's co-authors include Mario Bigioni, Antonino De Lorenzo, Laura Di Renzo, V. Del Gobbo, Fabio Galvano, Rossella Cianci, Nicola Di Lorenzo, Valerio Gobbo, Nicola Di Daniele and Vittorio Calabrese and has published in prestigious journals such as American Journal of Clinical Nutrition, Pharmacological Research and Current Pharmaceutical Design.

In The Last Decade

Co-authorship network of co-authors of M G Premrov i

Fields of papers citing papers by M G Premrov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M G Premrov. 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 M G Premrov. The network helps show where M G Premrov may publish in the future.

Countries citing papers authored by M G Premrov

Since Specialization
Citations

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