M Mezzetti

2.9k total citations
91 papers, 2.3k citations indexed

About

M Mezzetti is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, M Mezzetti has authored 91 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 15 papers in Pulmonary and Respiratory Medicine and 14 papers in Physiology. Recurrent topics in M Mezzetti's work include Asthma and respiratory diseases (11 papers), Global Cancer Incidence and Screening (6 papers) and Statistical Methods and Bayesian Inference (6 papers). M Mezzetti is often cited by papers focused on Asthma and respiratory diseases (11 papers), Global Cancer Incidence and Screening (6 papers) and Statistical Methods and Bayesian Inference (6 papers). M Mezzetti collaborates with scholars based in Italy, United States and France. M Mezzetti's co-authors include Patrizia Boracchi, Francesco Lacquaniti, Carlo La Vecchia, Umberto Veronesi, Alessandro Moscatelli, G. Di Fronzo, Maria Grazia Daidone, Adriano Decarli, Silvia Franceschi and Elvira Benini and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

M Mezzetti

90 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Mezzetti Italy 24 808 658 448 306 284 91 2.3k
Emily O. Kistner United States 27 571 0.7× 1.4k 2.1× 657 1.5× 396 1.3× 181 0.6× 36 3.2k
Brian M. Bot United States 27 954 1.2× 576 0.9× 330 0.7× 431 1.4× 225 0.8× 53 2.5k
Bickol N. Mukesh United States 28 807 1.0× 909 1.4× 603 1.3× 262 0.9× 104 0.4× 55 3.7k
Richard Simon United States 24 704 0.9× 1.0k 1.6× 472 1.1× 485 1.6× 525 1.8× 49 3.2k
Domenica Taruscio Italy 36 270 0.3× 1.1k 1.7× 358 0.8× 420 1.4× 247 0.9× 194 3.8k
Shan Jiang China 30 441 0.5× 733 1.1× 455 1.0× 326 1.1× 155 0.5× 200 3.1k
Suyu Liu United States 28 567 0.7× 375 0.6× 262 0.6× 346 1.1× 80 0.3× 92 2.3k
Jennifer Lin United States 31 576 0.7× 905 1.4× 479 1.1× 302 1.0× 225 0.8× 103 3.4k
Mark Clemons Canada 24 1.2k 1.5× 698 1.1× 873 1.9× 340 1.1× 194 0.7× 113 2.9k
Maria Fiammetta Romano Italy 32 613 0.8× 1.3k 2.0× 405 0.9× 271 0.9× 127 0.4× 155 3.0k

Countries citing papers authored by M Mezzetti

Since Specialization
Citations

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

Fields of papers citing papers by M Mezzetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Mezzetti

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

All Works

20 of 20 papers shown
1.
Mezzetti, M, et al.. (2024). Hierarchical Bayesian model to estimate and compare research productivity of Italian academic statisticians. Scientometrics. 129(12). 7443–7474. 1 indexed citations
2.
Mezzetti, M, et al.. (2023). Bayesian hierarchical models and prior elicitation for fitting psychometric functions. Frontiers in Computational Neuroscience. 17. 1108311–1108311. 4 indexed citations
3.
Mezzetti, M, et al.. (2020). A Bayesian Factor Model for Spatial Panel Data with a Separable Covariance Approach. Bayesian Analysis. 16(2). 3 indexed citations
4.
Mezzetti, M, et al.. (2018). Development, validity and reliability of the Italian version of the Copenhagen neck functional disability scale. BMC Musculoskeletal Disorders. 19(1). 409–409. 8 indexed citations
5.
Mezzetti, M, et al.. (2017). Is a matrix exponential specification suitable for the modeling of spatial correlation structures?. Spatial Statistics. 20. 221–243. 3 indexed citations
6.
Francisci, Silvia, Stefano Guzzinati, M Mezzetti, et al.. (2013). Cost profiles of colorectal cancer patients in Italy based on individual patterns of care. BMC Cancer. 13(1). 329–329. 18 indexed citations
7.
Raveglia, Federico, et al.. (2006). Diagnostic value and learning curve of transbronchial needle aspiration in thoracic surgery.. PubMed. 61(6). 459–66. 5 indexed citations
8.
Gori, Andrea, Anna Degli Esposti, Alessandra Bandera, et al.. (2005). Comparison between spoligotyping and IS6110 restriction fragment length polymorphisms in molecular genotyping analysis of Mycobacterium tuberculosis strains. Molecular and Cellular Probes. 19(4). 236–244. 19 indexed citations
9.
Boyle, Peter, M Mezzetti, Carlo La Vecchia, et al.. (2004). Contribution of three components to individual cancer risk predicting breast cancer risk in Italy. European Journal of Cancer Prevention. 13(3). 183–191. 38 indexed citations
10.
Corsini, Chiara, Michele Ghielmini, Patrizia Mancuso, et al.. (2000). Idarubicinol myelotoxicity: a comparison of in vitro data with clinical outcome in patients treated with high-dose idarubicin. British Journal of Cancer. 82(3). 524–528. 4 indexed citations
11.
Preti, Mario, M Mezzetti, Chris Robertson, & Mario Sideri. (2000). Inter‐observer variation in histopathological diagnosis and grading of vulvar intraepithelial neoplasia: results of an European collaborative study. BJOG An International Journal of Obstetrics & Gynaecology. 107(5). 594–599. 45 indexed citations
12.
Torrisi, Rosalba, M Mezzetti, Harriet Johansson, et al.. (2000). Time course of fenretinide-induced modulation of circulating insulin-like growth factor (IGF)-i, IGF-II and IGFBP-3 in a bladder cancer chemoprevention trial. International Journal of Cancer. 87(4). 601–605. 21 indexed citations
13.
Testori, Alessandro, Mirco Bartolomei, Costantino Grana, et al.. (1999). Sentinel node localization in primary melanoma. Melanoma Research. 9(6). 587–594. 18 indexed citations
14.
Mezzetti, M, Peter Boyle, Carlo La Vecchia, et al.. (1998). Population Attributable Risk for Breast Cancer: Diet, Nutrition, and Physical Exercise. JNCI Journal of the National Cancer Institute. 90(5). 389–394. 140 indexed citations
15.
Tavani, Alessandra, et al.. (1998). Alcohol intake and risk of cancers of the colon and rectum. Nutrition and Cancer. 30(3). 213–219. 35 indexed citations
16.
Vecchia, Carlo La, Monica Ferraroni, Silvia Franceschi, et al.. (1997). Fibers and breast cancer risk. Nutrition and Cancer. 28(3). 264–269. 29 indexed citations
17.
Santambrogio, L., et al.. (1996). Prospective Study of Surgical Treatment of Lung Cancer in the Elderly Patient. The Journals of Gerontology Series A. 51A(6). M267–M269. 8 indexed citations
18.
Mezzetti, M, Monica Ferraroni, Adriano Decarli, Carlo La Vecchia, & Jacques Bénichou. (1996). Software for Attributable Risk and Confidence Interval Estimation in Case-Control Studies. Computers and Biomedical Research. 29(1). 63–75. 59 indexed citations
19.
Marini, M., M. Soloperto, Ying Zheng, M Mezzetti, & Sabrina Mattoli. (1992). Protective effect of nedocromil sodium on the IL1-induced release of GM-CSF from cultured human bronchial epithelial cells. Pulmonary Pharmacology. 5(1). 61–65. 20 indexed citations
20.
Rebulla, Paolo, et al.. (1985). Autologous blood predeposit for elective surgery: a program for better use and conservation of blood.. PubMed. 97(4). 463–6. 12 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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