Maria‐Grazia Ascenzi

22 papers and 477 indexed citations i.

About

Maria‐Grazia Ascenzi is a scholar working on Orthopedics and Sports Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Maria‐Grazia Ascenzi has authored 22 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Orthopedics and Sports Medicine, 7 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Maria‐Grazia Ascenzi’s work include Bone health and osteoporosis research (13 papers), Bone Metabolism and Diseases (5 papers) and Algebraic Geometry and Number Theory (5 papers). Maria‐Grazia Ascenzi is often cited by papers focused on Bone health and osteoporosis research (13 papers), Bone Metabolism and Diseases (5 papers) and Algebraic Geometry and Number Theory (5 papers). Maria‐Grazia Ascenzi collaborates with scholars based in United States, Italy and Germany. Maria‐Grazia Ascenzi's co-authors include Cornelia E. Farnum, Eve Donnelly, Yin Tintut, Flávia Q. Pirih, Sotirios Tetradis, Jinxiu Lu, Olga Bezouglaia, Linda L. Demer, Fei Ye and Tara Aghaloo and has published in prestigious journals such as Journal of Computational Physics, Journal of Bone and Mineral Research and Journal of Biomechanics.

In The Last Decade

Co-authorship network of co-authors of Maria‐Grazia Ascenzi i

Fields of papers citing papers by Maria‐Grazia Ascenzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria‐Grazia Ascenzi. 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 Maria‐Grazia Ascenzi. The network helps show where Maria‐Grazia Ascenzi may publish in the future.

Countries citing papers authored by Maria‐Grazia Ascenzi

Since Specialization
Citations

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