Mario Skugor

22 papers and 913 indexed citations i.

About

Mario Skugor is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Genetics. According to data from OpenAlex, Mario Skugor has authored 22 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Physiology and 6 papers in Genetics. Recurrent topics in Mario Skugor’s work include Bone health and osteoporosis research (6 papers), Thyroid Cancer Diagnosis and Treatment (5 papers) and Body Composition Measurement Techniques (4 papers). Mario Skugor is often cited by papers focused on Bone health and osteoporosis research (6 papers), Thyroid Cancer Diagnosis and Treatment (5 papers) and Body Composition Measurement Techniques (4 papers). Mario Skugor collaborates with scholars based in United States, Türkiye and Singapore. Mario Skugor's co-authors include Velimir Matkovic, Jasminka Z. Ilich, John D. Landoll, Albert Clairmont, Nancy E. Badenhop, Dino D. Klisovic, Prem K. Goel, Thomas N. Hangartner, Ramzi W. Nahhas and Brian Hoar and has published in prestigious journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and The American Journal of Gastroenterology.

In The Last Decade

Co-authorship network of co-authors of Mario Skugor i

Fields of papers citing papers by Mario Skugor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Skugor

Since Specialization
Citations

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