M. Sacco

17 papers and 1.4k indexed citations i.

About

M. Sacco is a scholar working on Infectious Diseases, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, M. Sacco has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 7 papers in Molecular Biology and 7 papers in Computational Theory and Mathematics. Recurrent topics in M. Sacco’s work include SARS-CoV-2 and COVID-19 Research (7 papers), Computational Drug Discovery Methods (7 papers) and Bacterial Genetics and Biotechnology (5 papers). M. Sacco is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (7 papers), Computational Drug Discovery Methods (7 papers) and Bacterial Genetics and Biotechnology (5 papers). M. Sacco collaborates with scholars based in United States and Greece. M. Sacco's co-authors include Yu Chen, Jun Wang, Chunlong Ma, Yanmei Hu, Michael T. Marty, Julia A. Townsend, Xiujun Zhang, Tommy Szeto, Brett L. Hurst and E. Bart Tarbet and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by M. Sacco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. Sacco

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025