Massimo Pacilli
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in
-
- SARS-CoV-2 detection and testing 5
- SARS-CoV-2 and COVID-19 Research 4
- Antifungal resistance and susceptibility 4
- Viral gastroenteritis research and epidemiology 3
- Infection Control in Healthcare 3
- Co-authors
- Stéphanie Black (13 shared papers)Tristan D. McPherson (3 shared papers)Janna L. Kerins (7 shared papers)Isaac Ghinai (5 shared papers)M. Allison Arwady (2 shared papers)Jennifer E. Layden (2 shared papers)Peter Ruestow (3 shared papers)Marielle Fricchione (2 shared papers)
- Journals
- Open Forum Infectious Diseases (6 papers)MMWR Morbidity and Mortality Weekly Report (5 papers)Clinical Infectious Diseases (3 papers)American Journal of Infection Control (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesUgandaUnited Kingdom
In The Last Decade
Massimo Pacilli
21 papers receiving 304 citations
Peers
Comparison fields: 5 of 76
- Modeling and Simulation 67
- Infectious Diseases 159
- Microbiology 53
- Applied Microbiology and Biotechnology 14
- Molecular Medicine 24
Countries citing papers authored by Massimo Pacilli
This map shows the geographic impact of Massimo Pacilli'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 Massimo Pacilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Pacilli more than expected).
Fields of papers citing papers by Massimo Pacilli
This network shows the impact of papers produced by Massimo Pacilli. 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 Massimo Pacilli. The network helps show where Massimo Pacilli may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Pacilli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 96 | |
| 2 | 2017 | 55 | |
| 3 | 2021 | 50 | |
| 4 | 2018 | 25 | |
| 5 | 2015 | 20 | |
| 6 | 2021 | 17 | |
| 7 | 2018 | 9 | |
| 8 | 2023 | 7 | |
| 9 | 2019 | 6 | |
| 10 | 2017 | 5 | |
| 11 | 2018 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2016 | 3 | |
| 16 | 2020 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2019 | 1 |
About Massimo Pacilli
Massimo Pacilli is a scholar working on Infectious Diseases, Epidemiology, Applied Microbiology and Biotechnology, General Health Professions and Molecular Medicine, having authored 24 papers that have together received 319 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (7 papers), SARS-CoV-2 detection and testing (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Antifungal resistance and susceptibility (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Antibiotic Resistance in Bacteria (3 papers), COVID-19 epidemiological studies (3 papers) and Infection Control in Healthcare (3 papers). The work is most often cited by research in Modeling and Simulation (67 citations), Infectious Diseases (159 citations), Microbiology (53 citations), Applied Microbiology and Biotechnology (14 citations) and Molecular Medicine (24 citations). Massimo Pacilli has collaborated with scholars based in United States, Uganda and United Kingdom. Frequent co-authors include Stéphanie Black, Tristan D. McPherson, Janna L. Kerins, Isaac Ghinai, M. Allison Arwady, Jennifer E. Layden, Peter Ruestow, Marielle Fricchione, Suzanne F. Beavers and Susan Woods. Their work appears in journals such as Open Forum Infectious Diseases, MMWR Morbidity and Mortality Weekly Report, Clinical Infectious Diseases, American Journal of Infection Control and Nature Communications.
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.