Grazia Michetti

558 total citations
10 papers, 422 citations indexed

About

Grazia Michetti is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology. According to data from OpenAlex, Grazia Michetti has authored 10 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Grazia Michetti's work include Pituitary Gland Disorders and Treatments (6 papers), Adrenal Hormones and Disorders (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Grazia Michetti is often cited by papers focused on Pituitary Gland Disorders and Treatments (6 papers), Adrenal Hormones and Disorders (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Grazia Michetti collaborates with scholars based in Italy and United States. Grazia Michetti's co-authors include Emanuela Faloia, Giorgio Arnaldi, Laura Trementino, Carolina Concettoni, Marco Boscaro, Annamaria Colao, Rosario Pivonello, Filippo Ceccato, Carla Giordano and Valentina Guarnotta and has published in prestigious journals such as Frontiers in Endocrinology, Hormone and Metabolic Research and Journal of Endocrinological Investigation.

In The Last Decade

Grazia Michetti

9 papers receiving 410 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Grazia Michetti Italy 8 210 107 95 87 81 10 422
Yavor Assyov Bulgaria 13 119 0.6× 105 1.0× 151 1.6× 52 0.6× 106 1.3× 41 439
Ming‐Chun Kuo Taiwan 13 195 0.9× 73 0.7× 66 0.7× 114 1.3× 59 0.7× 28 460
Miaomiao Peng China 10 125 0.6× 93 0.9× 138 1.5× 62 0.7× 64 0.8× 23 428
Rodrigo Martins Pereira Brazil 9 89 0.4× 123 1.1× 171 1.8× 60 0.7× 74 0.9× 29 386
Seong Bin Hong South Korea 13 135 0.6× 78 0.7× 83 0.9× 74 0.9× 89 1.1× 39 416
Syed Mohd Razi India 6 193 0.9× 104 1.0× 132 1.4× 53 0.6× 100 1.2× 12 471
Snežana Tepavčević Serbia 11 156 0.7× 87 0.8× 115 1.2× 31 0.4× 113 1.4× 34 337
Mehmet Boyraz Türkiye 10 133 0.6× 141 1.3× 68 0.7× 50 0.6× 74 0.9× 33 382
Eleftheria Papachristoforou Greece 3 164 0.8× 56 0.5× 60 0.6× 38 0.4× 65 0.8× 8 348
Silvia Magno Italy 16 153 0.7× 44 0.4× 149 1.6× 151 1.7× 179 2.2× 29 537

Countries citing papers authored by Grazia Michetti

Since Specialization
Citations

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

Fields of papers citing papers by Grazia Michetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grazia Michetti

This figure shows the co-authorship network connecting the top 25 collaborators of Grazia Michetti. A scholar is included among the top collaborators of Grazia Michetti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Grazia Michetti. Grazia Michetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
2.
Pantanetti, Paola, Giovanni Cangelosi, Sara Alberti, et al.. (2024). Changes in body weight and composition, metabolic parameters, and quality of life in patients with type 2 diabetes treated with subcutaneous semaglutide in real-world clinical practice. Frontiers in Endocrinology. 15. 1394506–1394506. 19 indexed citations
3.
Pivonello, Rosario, Giorgio Arnaldi, Carla Scaroni, et al.. (2019). The medical treatment with pasireotide in Cushing’s disease: an Italian multicentre experience based on “real-world evidence”. Endocrine. 64(3). 657–672. 33 indexed citations
4.
Ceccato, Filippo, Marianna Martino, Carolina Concettoni, et al.. (2018). The diagnostic accuracy of increased late night salivary cortisol for Cushing’s syndrome: a real-life prospective study. Journal of Endocrinological Investigation. 42(3). 327–335. 34 indexed citations
5.
Guarnotta, Valentina, Marco Calogero Amato, Rosario Pivonello, et al.. (2016). The degree of urinary hypercortisolism is not correlated with the severity of cushing’s syndrome. Endocrine. 55(2). 564–572. 33 indexed citations
6.
Trementino, Laura, et al.. (2016). A Single-Center 10-Year Experience with Pasireotide in Cushing’s Disease: Patients’ Characteristics and Outcome. Hormone and Metabolic Research. 48(5). 290–298. 21 indexed citations
7.
Trementino, Laura, et al.. (2014). Fracture risk assessment before and after resolution of endogenous hypercortisolism: Is the FRAX® algorithm useful?. Journal of Endocrinological Investigation. 37(10). 957–965. 9 indexed citations
8.
Trementino, Laura, Marialuisa Zilio, Grazia Michetti, et al.. (2014). The role of an acute pasireotide suppression test in predicting response to treatment in patients with Cushing’s disease: findings from a pilot study. Endocrine. 50(1). 154–161. 10 indexed citations
9.
Faloia, Emanuela, et al.. (2012). Inflammation as a Link between Obesity and Metabolic Syndrome. Journal of Nutrition and Metabolism. 2012. 1–7. 262 indexed citations
10.
Michetti, Grazia, et al.. (1990). [Tuberculosis in Bergamo Province. Statistical estimates for the quadrennium 1984-1987].. PubMed. 81(3). 223–8. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026