M. Vinci

60 papers and 1.2k indexed citations i.

About

M. Vinci is a scholar working on Epidemiology, Hepatology and Pathology and Forensic Medicine. According to data from OpenAlex, M. Vinci has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 24 papers in Hepatology and 9 papers in Pathology and Forensic Medicine. Recurrent topics in M. Vinci’s work include Hepatitis C virus research (17 papers), Liver Disease Diagnosis and Treatment (15 papers) and Hepatitis B Virus Studies (12 papers). M. Vinci is often cited by papers focused on Hepatitis C virus research (17 papers), Liver Disease Diagnosis and Treatment (15 papers) and Hepatitis B Virus Studies (12 papers). M. Vinci collaborates with scholars based in Italy, United States and Denmark. M. Vinci's co-authors include Salvatore Zaffina, Antonio Craxı̀, L. Tedeschi, Vincenzo Camisa, Calogero Cammà, G. Pinzello, Savino Bruno, Maria Grazia Rumi, V. Di Marco and Danilo Di Bona and has published in prestigious journals such as Journal of Clinical Oncology, Hepatology and American Journal of Epidemiology.

In The Last Decade

Co-authorship network of co-authors of M. Vinci i

Fields of papers citing papers by M. Vinci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. Vinci

Since Specialization
Citations

This map shows the geographic impact of M. Vinci'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. Vinci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Vinci 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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2025