Chiara Nogarol
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- Viral gastroenteritis research and epidemiology 3
-
- Animal Disease Management and Epidemiology 10
- Co-authors
- Sergio Rosati (18 shared papers)Luigi Bertolotti (11 shared papers)Barbara Colitti (11 shared papers)Laura Anfossi (8 shared papers)Claudio Baggiani (5 shared papers)Fabio Di Nardo (5 shared papers)Simone Cavalera (6 shared papers)Margherita Profiti (6 shared papers)
In The Last Decade
Chiara Nogarol
24 papers receiving 393 citations
Peers
Comparison fields: 5 of 70
- Infectious Diseases 154
- Agronomy and Crop Science 82
- Biotechnology 40
- Animal Science and Zoology 43
- Microbiology 23
Countries citing papers authored by Chiara Nogarol
This map shows the geographic impact of Chiara Nogarol'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 Chiara Nogarol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Nogarol more than expected).
Fields of papers citing papers by Chiara Nogarol
This network shows the impact of papers produced by Chiara Nogarol. 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 Chiara Nogarol. The network helps show where Chiara Nogarol may publish in the future.
Co-authors
The 25 scholars most cited alongside Chiara Nogarol, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 77 | |
| 2 | 2013 | 39 | |
| 3 | 2018 | 37 | |
| 4 | 2013 | 36 | |
| 5 | 2021 | 35 | |
| 6 | 2021 | 18 | |
| 7 | 2017 | 18 | |
| 8 | 2014 | 16 | |
| 9 | 2017 | 16 | |
| 10 | 2023 | 15 | |
| 11 | 2015 | 15 | |
| 12 | 2022 | 15 | |
| 13 | 2014 | 14 | |
| 14 | 2018 | 9 | |
| 15 | 2017 | 9 | |
| 16 | 2019 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2022 | 3 |
About Chiara Nogarol
Chiara Nogarol is a scholar working on Infectious Diseases, Agronomy and Crop Science, Epidemiology, Ecology, Evolution, Behavior and Systematics and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 402 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (10 papers), Herpesvirus Infections and Treatments (7 papers), Vector-Borne Animal Diseases (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infections and Immunology Research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Animal Virus Infections Studies (3 papers) and Microbial infections and disease research (2 papers). The work is most often cited by research in Infectious Diseases (154 citations), Agronomy and Crop Science (82 citations), Biotechnology (40 citations), Animal Science and Zoology (43 citations) and Microbiology (23 citations). Chiara Nogarol has collaborated with scholars based in Italy, Norway and Germany. Frequent co-authors include Sergio Rosati, Luigi Bertolotti, Barbara Colitti, Laura Anfossi, Claudio Baggiani, Fabio Di Nardo, Simone Cavalera, Margherita Profiti, Lucia Decastelli and Daniela Manila Bianchi. Their work appears in journals such as Animals, BMC Veterinary Research, Research in Veterinary Science, Journal of Food Protection and Talanta.
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.