M. Sacco
- Infectious Diseases top 2%
- Computational Theory and Mathematics top 0.5%
- Molecular Biology
- Organic Chemistry top 10%
- Epidemiology
- Co-authors
- Yu ChenJun WangChunlong MaYanmei HuJulia A. TownsendMichael T. MartyXiujun ZhangTommy Szeto
- Topics
- SARS-CoV-2 and COVID-19 Research (7 papers)Computational Drug Discovery Methods (7 papers)Bacterial Genetics and Biotechnology (5 papers)
- Partner nations
- United StatesGreeceDenmark
In The Last Decade
M. Sacco
17 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Infectious Diseases 915
- Computational Theory and Mathematics 907
- Molecular Biology 461
- Organic Chemistry 321
- Epidemiology 93
Countries citing papers authored by M. Sacco
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).
Fields of papers citing papers by M. Sacco
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.
Co-authorship network of co-authors of M. Sacco
This figure shows the co-authorship network connecting the top 25 collaborators of M. Sacco. A scholar is included among the top collaborators of M. Sacco 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. Sacco. M. Sacco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 18 | |
| 3 | 2 | |
| 4 | 18 | |
| 5 | 19 | |
| 6 | 3 | |
| 7 | 112 | |
| 8 | 106 | |
| 9 | 143 | |
| 10 | 63 | |
| 11 | 6 | |
| 12 | Boceprevir, GC-376, and calpain inhibitors II, XII inhibit SARS-CoV-2 viral replication by targeting the viral main proteasebreakdown → | 616 |
| 13 | 284 | |
| 14 | 16 | |
| 15 | 49 | |
| 16 | 23 | |
| 17 | 8 | |
| 18 | 0 |
About M. Sacco
M. Sacco is a scholar working on Molecular Medicine, Infectious Diseases and Computational Theory and Mathematics, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Computational Drug Discovery Methods (7 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Computational Theory and Mathematics (907 citations), Infectious Diseases (915 citations) and Molecular Medicine (75 citations). M. Sacco has collaborated with scholars based in United States, Greece and Denmark. Frequent co-authors include Yu Chen, Jun Wang, Chunlong Ma, Yanmei Hu, Julia A. Townsend, Michael T. Marty, Xiujun Zhang, Tommy Szeto, E. Bart Tarbet and Brett L. Hurst. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and Scientific Reports.
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.