Lorenzo Subissi
- Infectious Diseases top 1%
- Viral Infections and Outbreaks Research 14
- SARS-CoV-2 and COVID-19 Research 12
- Viral gastroenteritis research and epidemiology 7
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 detection and testing 6
- Animal Science and Zoology top 2%
- Virology top 5%
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 5
-
- Disaster Response and Management 5
-
- Mosquito-borne diseases and control 4
- Co-authors
- Isabelle ImbertÉtienne DecrolyBruno CanardLaure GluaisMarion SevajolJessika C. Zevenhoven-DobbeClara C. PosthumaAlexander E. Gorbalenya
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The Lancet (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- SwitzerlandBelgiumUnited Kingdom
In The Last Decade
Lorenzo Subissi
39 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Infectious Diseases 1.2k
- Animal Science and Zoology 239
- Virology 95
- Modeling and Simulation 69
- Computational Theory and Mathematics 197
Countries citing papers authored by Lorenzo Subissi
This map shows the geographic impact of Lorenzo Subissi'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 Lorenzo Subissi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Subissi more than expected).
Fields of papers citing papers by Lorenzo Subissi
This network shows the impact of papers produced by Lorenzo Subissi. 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 Lorenzo Subissi. The network helps show where Lorenzo Subissi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lorenzo Subissi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 69 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 36 | |
| 11 | 2020 | 14 | |
| 12 | 2019 | 2 | |
| 13 | 2019 | 27 | |
| 14 | 2019 | 9 | |
| 15 | 2019 | 10 | |
| 16 | 2018 | 42 | |
| 17 | 2017 | 15 | |
| 18 | 2017 | 8 | |
| 19 | 2013 | 135 | |
| 20 | 2012 | 245 |
About Lorenzo Subissi
Lorenzo Subissi is a scholar working on Infectious Diseases, Modeling and Simulation and Emergency Medical Services, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (14 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Viral gastroenteritis research and epidemiology (7 papers), COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 detection and testing (6 papers), COVID-19 epidemiological studies (5 papers), Disaster Response and Management (5 papers) and Mosquito-borne diseases and control (4 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Animal Science and Zoology (239 citations) and Virology (95 citations). Lorenzo Subissi has collaborated with scholars based in Switzerland, Belgium and United Kingdom. Frequent co-authors include Isabelle Imbert, Étienne Decroly, Bruno Canard, Laure Gluais, Marion Sevajol, Jessika C. Zevenhoven-Dobbe, Clara C. Posthuma, Alexander E. Gorbalenya, Eric J. Snijder and François Ferrón. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and The Journal of Infectious Diseases.
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.