Simone Cavalera
Impact in
- Biomedical Engineering top 5%
- Biosensors and Analytical Detection
- Infectious Diseases top 5%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Analytical chemistry methods development 12
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- SARS-CoV-2 detection and testing 5
- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Laura Anfossi (42 shared papers)Claudio Baggiani (39 shared papers)Fabio Di Nardo (38 shared papers)Cristina Giovannoli (10 shared papers)Matteo Chiarello (18 shared papers)Giulia Spano (7 shared papers)Sergio Rosati (10 shared papers)Barbara Colitti (8 shared papers)
In The Last Decade
Simone Cavalera
41 papers receiving 1.5k citations
Simone Cavalera's Hit Papers
Peers
Comparison fields: 5 of 100
- Biomedical Engineering 931
- Infectious Diseases 339
- Molecular Biology 856
- Analytical Chemistry 124
- Microbiology 46
Countries citing papers authored by Simone Cavalera
This map shows the geographic impact of Simone Cavalera'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 Simone Cavalera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Cavalera more than expected).
Fields of papers citing papers by Simone Cavalera
This network shows the impact of papers produced by Simone Cavalera. 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 Simone Cavalera. The network helps show where Simone Cavalera may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone Cavalera, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ten Years of Lateral Flow Immunoassay Technique Applications: Trends, Challenges and Future Perspectives Hit paper breakdown → | 2021 | 337 |
| 2 | 2018 | 186 | |
| 3 | 2020 | 170 | |
| 4 | 2018 | 117 | |
| 5 | 2018 | 109 | |
| 6 | 2018 | 98 | |
| 7 | 2019 | 89 | |
| 8 | 2020 | 78 | |
| 9 | 2018 | 42 | |
| 10 | 2022 | 27 | |
| 11 | 2019 | 25 | |
| 12 | 2024 | 25 | |
| 13 | 2020 | 23 | |
| 14 | 2023 | 20 | |
| 15 | 2024 | 20 | |
| 16 | 2021 | 18 | |
| 17 | 2021 | 18 | |
| 18 | 2019 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 2020 | 15 |
About Simone Cavalera
Simone Cavalera is a scholar working on Analytical Chemistry, Infectious Diseases, Biomedical Engineering, Molecular Biology and Agronomy and Crop Science, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (15 papers), Analytical chemistry methods development (12 papers), Advanced biosensing and bioanalysis techniques (12 papers), Advanced Biosensing Techniques and Applications (6 papers), SARS-CoV-2 detection and testing (5 papers), Mycotoxins in Agriculture and Food (5 papers), Animal Disease Management and Epidemiology (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Biomedical Engineering (931 citations), Infectious Diseases (339 citations), Molecular Biology (856 citations), Analytical Chemistry (124 citations) and Microbiology (46 citations). Simone Cavalera has collaborated with scholars based in Italy, Spain and Ireland. Frequent co-authors include Laura Anfossi, Claudio Baggiani, Fabio Di Nardo, Cristina Giovannoli, Matteo Chiarello, Giulia Spano, Sergio Rosati, Barbara Colitti, Eugenio Alladio and Matilde Roda. Their work appears in journals such as Talanta, Polymers, Journal of Materials Chemistry B, Analytical and Bioanalytical Chemistry and Biosensors.
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.