Massimiliano Copetti

13.5k total citations · 1 hit paper
309 papers, 9.5k citations indexed

About

Massimiliano Copetti is a scholar working on Neurology, Molecular Biology and Epidemiology. According to data from OpenAlex, Massimiliano Copetti has authored 309 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Neurology, 62 papers in Molecular Biology and 53 papers in Epidemiology. Recurrent topics in Massimiliano Copetti's work include Advanced Neuroimaging Techniques and Applications (29 papers), Parkinson's Disease Mechanisms and Treatments (28 papers) and Multiple Sclerosis Research Studies (28 papers). Massimiliano Copetti is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (29 papers), Parkinson's Disease Mechanisms and Treatments (28 papers) and Multiple Sclerosis Research Studies (28 papers). Massimiliano Copetti collaborates with scholars based in Italy, United States and United Kingdom. Massimiliano Copetti's co-authors include Massimo Filippi, Andrea Fontana, Federica Agosta, Gıancarlo Comı, Giancarlo Logroscino, Fabio Pellegrini, Maria A. Rocca, Andrea Falini, Simona Arcuti and Giovanni Rizzo and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Massimiliano Copetti

295 papers receiving 9.3k 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.

Accuracy of clinical diagnosis of Parkinson disease

2016 584 citations Massimiliano Copetti, Andrea Fontana et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Massimiliano Copetti Italy	54	2.7k	2.0k	1.4k	1.3k	1.3k	309	9.5k
Stefan Ropele Austria	56	2.5k 0.9×	1.1k 0.6×	3.8k 2.8×	1.1k 0.9×	2.1k 1.7×	233	10.2k
Christian Enzinger Austria	61	3.2k 1.2×	1.3k 0.7×	2.5k 1.8×	942 0.7×	4.5k 3.5×	332	11.6k
Achim Berthele Germany	45	2.1k 0.8×	1.3k 0.6×	796 0.6×	1.2k 1.0×	3.1k 2.5×	178	7.7k
Riitta Parkkola Finland	54	804 0.3×	1.1k 0.5×	1.4k 1.0×	3.1k 2.4×	853 0.7×	276	10.0k
Osama Sabri Germany	57	1.7k 0.6×	1.6k 0.8×	3.7k 2.7×	2.4k 1.8×	433 0.3×	432	11.2k
Mauro Silvestrini Italy	53	2.3k 0.8×	508 0.2×	925 0.7×	1.2k 0.9×	738 0.6×	278	9.0k
Jacques De Keyser Netherlands	61	3.1k 1.1×	2.3k 1.2×	699 0.5×	873 0.7×	3.1k 2.4×	329	12.8k
Patrick Vermersch France	54	4.6k 1.7×	1.9k 0.9×	957 0.7×	2.6k 2.0×	6.8k 5.3×	391	13.7k
Joab Chapman Israel	48	1.8k 0.6×	2.3k 1.1×	714 0.5×	999 0.8×	745 0.6×	288	7.8k
Richard E. Harris United States	69	2.0k 0.7×	2.1k 1.0×	573 0.4×	3.0k 2.3×	435 0.3×	274	14.6k

Countries citing papers authored by Massimiliano Copetti

Since Specialization

Citations

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

Fields of papers citing papers by Massimiliano Copetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimiliano Copetti

This figure shows the co-authorship network connecting the top 25 collaborators of Massimiliano Copetti. A scholar is included among the top collaborators of Massimiliano Copetti 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 Massimiliano Copetti. Massimiliano Copetti 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

Copetti, Massimiliano, et al.. (2025). Refining Prognostic Factors in Adult-Onset Multiple Sclerosis: A Narrative Review of Current Insights. International Journal of Molecular Sciences. 26(16). 7756–7756.

Giancola, Maria Letizia, Andrea Fontana, Concetta Panebianco, et al.. (2024). Efficacy of a Multistrain Synbiotic Treatment in Acute and Post-Acute COVID-19 Patients: A Double-Blind, Placebo-Controlled Randomized Trial. Microorganisms. 12(7). 1443–1443. 3 indexed citations

Trischitta, Vincenzo, Cornelia Prehn, Lucia Salvemini, et al.. (2023). Circulating metabolites improve the prediction of renal impairment in patients with type 2 diabetes. BMJ Open Diabetes Research & Care. 11(5). e003422–e003422. 3 indexed citations

Vigna, Carlo, Nicola Marchese, Olga Lamacchia, et al.. (2023). Albuminuria improves R2CHA2DS2-VASc score in predicting mortality in high cardiovascular risk population. Nutrition Metabolism and Cardiovascular Diseases. 33(8). 1591–1598. 1 indexed citations

Copetti, Massimiliano, Marco Giorgio Baroni, Raffaella Buzzetti, et al.. (2023). Validation in type 2 diabetes of a metabolomic signature of all‐cause mortality. Diabetes/Metabolism Research and Reviews. 40(2). e3734–e3734. 2 indexed citations

Mirijello, Antonio, Andrea Fontana, Alberto Tosoni, et al.. (2023). Identifying Predictors Associated with Risk of Death or Admission to Intensive Care Unit in Internal Medicine Patients with Sepsis: A Comparison of Statistical Models and Machine Learning Algorithms. Antibiotics. 12(5). 925–925. 8 indexed citations

Prehn, Cornelia, Massimiliano Copetti, Lucia Salvemini, et al.. (2022). Circulating Metabolites Associate With and Improve the Prediction of All-Cause Mortality in Type 2 Diabetes. Diabetes. 71(6). 1363–1370. 21 indexed citations

Fontana, Andrea, Tommaso Nuzzo, Anna Maio, et al.. (2022). Machine Learning algorithm unveils glutamatergic alterations in the post-mortem schizophrenia brain. SHILAP Revista de lepidopterología. 8(1). 8–8. 29 indexed citations

Copetti, Massimiliano, et al.. (2021). Effect of Holder pasteurization on macronutrients and energy content of pooled donor human milk. SHILAP Revista de lepidopterología. 10(2). 1 indexed citations

10.

Pellegrini, Fabio, Massimiliano Copetti, Francesca Bovis, et al.. (2019). A proof-of-concept application of a novel scoring approach for personalized medicine in multiple sclerosis. Multiple Sclerosis Journal. 26(9). 1064–1073. 14 indexed citations

11.

Fontana, Andrea, et al.. (2018). Circulating Adiponectin Levels Are Paradoxically Associated With Mortality Rate: A Systematic Review and Meta-Analysis. The Journal of Clinical Endocrinology & Metabolism. 104(5). 1357–1368. 26 indexed citations

12.

Paroni, Giulia, Davide Seripa, Andrea Fontana, et al.. (2016). Klotho Gene and Selective Serotonin Reuptake Inhibitors: Response to Treatment in Late-Life Major Depressive Disorder. Molecular Neurobiology. 54(2). 1340–1351. 31 indexed citations

13.

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

14.

Seripa, Davide, Francesco Panza, Grazia D’Onofrio, et al.. (2013). The Serotonin Transporter Gene Locus in Late-Life Major Depressive Disorder. American Journal of Geriatric Psychiatry. 21(1). 67–77. 8 indexed citations

15.

Absinta, Martina, Maria A. Rocca, Bruno Colombo, et al.. (2012). Patients with migraine do not have MRI-visible cortical lesions. Journal of Neurology. 259(12). 2695–2698. 46 indexed citations

16.

Mangia, Alessandra, Alexander Thompson, Rosanna Santoro, et al.. (2011). Limited use of interleukin 28B in the setting of response-guided treatment with detailed on-treatment virological monitoring. Hepatology. 54(3). 772–780. 50 indexed citations

17.

Agosta, Federica, Michela Pievani, Cristina Geroldi, et al.. (2011). Resting state fMRI in Alzheimer's disease: beyond the default mode network. Neurobiology of Aging. 33(8). 1564–1578. 444 indexed citations

18.

Seripa, Davide, Giulia Paroni, Maria G. Matera, et al.. (2010). Angiotensin-converting enzyme (ACE) genotypes and disability in hospitalized older patients. AGE. 33(3). 409–419. 6 indexed citations

19.

Prudente, Sabrina, Roberto Baratta, Francesco Andreozzi, et al.. (2010). TRIB3 R84 variant affects glucose homeostasis by altering the interplay between insulin sensitivity and secretion. Diabetologia. 53(7). 1354–1361. 14 indexed citations

20.

Savino, Michelangelo, Paola Parrella, Massimiliano Copetti, et al.. (2007). Development of real-time quantitative reverse transcription-PCR for Her2 detection in peripheral blood from patients with breast cancer. Clinica Chimica Acta. 384(1-2). 52–56. 9 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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