Massimo Federici

28.7k total citations · 3 hit papers
253 papers, 11.1k citations indexed

About

Massimo Federici is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Massimo Federici has authored 253 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 68 papers in Surgery and 68 papers in Physiology. Recurrent topics in Massimo Federici's work include Metabolism, Diabetes, and Cancer (37 papers), Pancreatic function and diabetes (33 papers) and Diet and metabolism studies (30 papers). Massimo Federici is often cited by papers focused on Metabolism, Diabetes, and Cancer (37 papers), Pancreatic function and diabetes (33 papers) and Diet and metabolism studies (30 papers). Massimo Federici collaborates with scholars based in Italy, United States and United Kingdom. Massimo Federici's co-authors include Renato Lauro, Davide Lauro, Rossella Menghini, Giorgio Sesti, Paolo Sbraccia, Marta Letizia Hribal, Viviana Casagrande, Marina Cardellini, Stefano Rizza and Ottavia Porzio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

Massimo Federici

247 papers receiving 10.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Metabolically healthy versus metabolically unhealthy obesity

2018 295 citations Massimo Federici et al. profile →
Macrophage polarization and metabolism in atherosclerosis

2023 151 citations Valentina Rovella, Massimo Federici et al. profile →
Microbiota-gut-brain axis: relationships among the vagus nerve, gut microbiota, obesity, and diabetes

2023 89 citations Susanna Longo, Stefano Rizza et al. Acta Diabetologica profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Massimo Federici Italy	62	5.1k	2.4k	2.1k	2.0k	1.9k	253	11.1k
In‐Kyu Lee South Korea	61	5.3k 1.0×	2.6k 1.1×	1.7k 0.8×	1.8k 0.9×	1.9k 1.0×	287	13.0k
Hiroshi Maegawa Japan	58	5.2k 1.0×	2.4k 1.0×	3.0k 1.4×	2.3k 1.2×	2.0k 1.0×	366	11.7k
Wataru Ogawa Japan	59	6.6k 1.3×	2.4k 1.0×	2.1k 1.0×	2.4k 1.2×	1.7k 0.9×	323	11.8k
Koutaro Yokote Japan	47	4.6k 0.9×	1.8k 0.7×	3.6k 1.7×	2.8k 1.4×	1.1k 0.6×	337	12.1k
Donald A. McClain United States	64	6.4k 1.3×	2.7k 1.1×	1.5k 0.7×	2.3k 1.2×	1.1k 0.6×	166	11.5k
Masato Furuhashi Japan	39	4.6k 0.9×	2.2k 0.9×	1.3k 0.6×	1.6k 0.8×	3.4k 1.8×	204	10.2k
Ulrich Kintscher Germany	48	3.4k 0.7×	1.8k 0.8×	2.0k 1.0×	1.5k 0.8×	1.6k 0.9×	170	9.3k
Marten H. Hofker Netherlands	68	7.1k 1.4×	2.0k 0.8×	1.9k 0.9×	2.7k 1.4×	3.3k 1.7×	203	15.2k
Martin Haluzı́k Czechia	53	4.4k 0.9×	3.9k 1.6×	2.8k 1.3×	1.9k 1.0×	3.9k 2.0×	363	12.1k
Atsunori Kashiwagi Japan	55	4.2k 0.8×	2.1k 0.9×	3.5k 1.7×	2.2k 1.1×	1.8k 1.0×	231	11.3k

Countries citing papers authored by Massimo Federici

Since Specialization

Citations

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

Fields of papers citing papers by Massimo Federici

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Federici

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Federici. A scholar is included among the top collaborators of Massimo Federici 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 Massimo Federici. Massimo Federici is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Marx, Nikolaus, Massimo Federici, Katharina Schütt, et al.. (2024). Linee guida ESC 2023 per il trattamento delle malattie cardiovascolari nei pazienti diabetici. Giornale italiano di cardiologia. 25(1). e1–e103. 2 indexed citations

Mollace, Rocco, Federica Scarano, Cristina Carresi, et al.. (2023). Modulation of the nitric oxide/cGMP pathway in cardiac contraction and relaxation: Potential role in heart failure treatment. Pharmacological Research. 196. 106931–106931. 17 indexed citations

Longo, Susanna, Stefano Rizza, & Massimo Federici. (2023). Microbiota-gut-brain axis: relationships among the vagus nerve, gut microbiota, obesity, and diabetes. Acta Diabetologica. 60(8). 1007–1017. 89 indexed citations breakdown →

Menghini, Rossella, Viviana Casagrande, Stefano Rizza, & Massimo Federici. (2023). GLP-1RAs and cardiovascular disease: is the endothelium a relevant platform?. Acta Diabetologica. 60(11). 1441–1448. 25 indexed citations

Longo, Susanna, Jacopo M. Legramante, Stefano Rizza, & Massimo Federici. (2023). Vasovagal syncope: An overview of pathophysiological mechanisms. European Journal of Internal Medicine. 112. 6–14. 16 indexed citations

Morelli, Cristina, Silvia Riondino, Daniela Fraboni, et al.. (2022). Immune Response in Vitamin D Deficient Metastatic Colorectal Cancer Patients: A Player That Should Be Considered for Targeted Vitamin D Supplementation. Cancers. 14(11). 2594–2594. 7 indexed citations

Pontrelli, Paola, Francesca Conserva, Rossella Menghini, et al.. (2021). Inhibition of Lysine 63 Ubiquitination Prevents the Progression of Renal Fibrosis in Diabetic DBA/2J Mice. International Journal of Molecular Sciences. 22(10). 5194–5194. 6 indexed citations

Kappel, Ben A., Marta Ballanti, Robert Stoehr, et al.. (2020). Cross-omics analysis revealed gut microbiome-related metabolic pathways underlying atherosclerosis development after antibiotics treatment. Molecular Metabolism. 36. 100976–100976. 64 indexed citations

Rizza, Stefano, Marina Cardellini, Chiara Pecchioli, et al.. (2015). A1c value for diabetes diagnosis in subjects with established cardiovascular disease. Acta Diabetologica. 52(5). 999–1001. 1 indexed citations

10.

Menghini, Rossella, Umberto Campia, Manfredi Tesauro, et al.. (2014). Toll-Like Receptor 4 Mediates Endothelial Cell Activation Through NF-κB but Is Not Associated with Endothelial Dysfunction in Patients with Rheumatoid Arthritis. PLoS ONE. 9(6). e99053–e99053. 37 indexed citations

11.

Menghini, Rossella, Viviana Casagrande, & Massimo Federici. (2013). MicroRNAs in Endothelial Senescence and Atherosclerosis. Journal of Cardiovascular Translational Research. 6(6). 924–930. 42 indexed citations

12.

Rappa, Francesca, Azzura Greco, Christine Podrini, et al.. (2013). Correction: Immunopositivity for Histone MacroH2A1 Isoforms Marks Steatosis-Associated Hepatocellular Carcinoma. PLoS ONE. 8(3). 18 indexed citations

13.

Monteleone, Ivan, Massimo Federici, Massimiliano Sarra, et al.. (2012). Tissue Inhibitor of Metalloproteinase-3 Regulates Inflammation in Human and Mouse Intestine. Gastroenterology. 143(5). 1277–1287.e4. 39 indexed citations

14.

Fadini, Gian Paolo, Mattia Albiero, Elisa Boscaro, et al.. (2010). Rosuvastatin stimulates clonogenic potential and anti‐inflammatory properties of endothelial progenitor cells. Cell Biology International. 34(7). 709–715. 18 indexed citations

15.

Rizza, Stefano, Marina Cardellini, Eugenio Martelli, et al.. (2010). Occult impaired glucose regulation in patients with atherosclerosis is associated to the number of affected vascular districts and inflammation. Atherosclerosis. 212(1). 316–320. 15 indexed citations

16.

Torrente, Isabella, Salvatore De Cosmo, Valentina Guida, et al.. (2007). Interaction of DIO2 T92A and PPARγ2 P12A Polymorphisms in the Modulation of Metabolic Syndrome. Obesity. 15(12). 2889–2895. 22 indexed citations

17.

Perticone, Francesco, Angela Sciacqua, Angela Scozzafava, et al.. (2004). Impaired Endothelial Function in Never-Treated Hypertensive Subjects Carrying the Arg⁹⁷²Polymorphism in the Insulin Receptor Substrate-1 Gene. The Journal of Clinical Endocrinology & Metabolism. 89(7). 3606–3609. 33 indexed citations

18.

Бонини, С., Francesca Ferrelli, Donatella Pastore, et al.. (2001). NGF-withdrawal induces apoptosis in pancreatic beta cells in vitro. Diabetologia. 44(10). 1281–1295. 61 indexed citations

19.

Federici, Massimo, Luigi Zucaro, Ottavia Porzio, et al.. (1996). Increased expression of insulin/insulin-like growth factor-I hybrid receptors in skeletal muscle of noninsulin-dependent diabetes mellitus subjects.. Journal of Clinical Investigation. 98(12). 2887–2893. 67 indexed citations

20.

Bernardini, Sergio, Stefano Cianfarani, C. Pianca, et al.. (1995). Insulin-like growth factor binding protein-1 serum levels in neuroblastoma. 6(6). 359–363. 3 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.

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