Diego Cantoni
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Outbreaks Research
- Viral Infections and Vectors
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
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- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 15
- COVID-19 Clinical Research Studies 9
- Viral Infections and Outbreaks Research 5
-
- Protist diversity and phylogeny 3
- Co-authors
- Nigel Temperton (16 shared papers)Martin Mayora Neto (12 shared papers)Jeremy S. Rossman (2 shared papers)Jonathan L. Heeney (8 shared papers)Javier Castillo‐Olivares (7 shared papers)George Carnell (7 shared papers)Helen Baxendale (7 shared papers)Matteo Ferrari (5 shared papers)
- Journals
- Frontiers in Immunology (3 papers)The Lancet Microbe (2 papers)Journal of Cell Science (2 papers)Bioinformatics (1 paper)Journal of Medical Microbiology (1 paper)
- Partner nations
- United KingdomGermanyThailand
In The Last Decade
Diego Cantoni
24 papers receiving 270 citations
Peers
Comparison fields: 5 of 53
- Infectious Diseases 196
- Animal Science and Zoology 26
- Modeling and Simulation 9
- Endocrinology 8
- Neurology 20
Countries citing papers authored by Diego Cantoni
This map shows the geographic impact of Diego Cantoni'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 Diego Cantoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Cantoni more than expected).
Fields of papers citing papers by Diego Cantoni
This network shows the impact of papers produced by Diego Cantoni. 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 Diego Cantoni. The network helps show where Diego Cantoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Cantoni, 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 | 2021 | 40 | |
| 2 | 2018 | 27 | |
| 3 | 2023 | 25 | |
| 4 | 2021 | 18 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 15 | |
| 7 | 2022 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2018 | 7 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 5 |
About Diego Cantoni
Diego Cantoni is a scholar working on Infectious Diseases, Molecular Biology, Animal Science and Zoology, Epidemiology and Endocrinology, having authored 24 papers that have together received 271 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (15 papers), COVID-19 Clinical Research Studies (9 papers), Viral Infections and Outbreaks Research (5 papers), Protist diversity and phylogeny (3 papers), Animal Virus Infections Studies (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Long-Term Effects of COVID-19 (2 papers) and Legionella and Acanthamoeba research (2 papers). The work is most often cited by research in Infectious Diseases (196 citations), Animal Science and Zoology (26 citations), Modeling and Simulation (9 citations), Endocrinology (8 citations) and Neurology (20 citations). Diego Cantoni has collaborated with scholars based in United Kingdom, Germany and Thailand. Frequent co-authors include Nigel Temperton, Martin Mayora Neto, Jeremy S. Rossman, Jonathan L. Heeney, Javier Castillo‐Olivares, George Carnell, Helen Baxendale, Matteo Ferrari, Giada Mattiuzzo and Susan L. Dobson. Their work appears in journals such as Frontiers in Immunology, The Lancet Microbe, Journal of Cell Science, Bioinformatics and Journal of Medical Microbiology.
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.