N. Arrigoni
Impact in
- Agronomy and Crop Science top 5%
- Milk Quality and Mastitis in Dairy Cows
- Microbiology top 5%
- Microbial infections and disease research
Papers in
- Epidemiology 36
- Mycobacterium research and diagnosis 36
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- Ginseng Biological Effects and Applications 12
- Co-authors
- Matteo Ricchi (37 shared papers)Chiara Garbarino (29 shared papers)Pietro Buzzini (4 shared papers)Federica Giacometti (11 shared papers)Andrea Serraino (9 shared papers)Paolo Daminelli (7 shared papers)Silvia Piva (7 shared papers)P. Moroni (3 shared papers)
- Journals
- Journal of Dairy Science (7 papers)Veterinary Microbiology (5 papers)Preventive Veterinary Medicine (4 papers)Journal of Food Protection (3 papers)Journal of Applied Microbiology (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
N. Arrigoni
62 papers receiving 734 citations
Peers
Comparison fields: 5 of 82
- Agronomy and Crop Science 190
- Microbiology 111
- Small Animals 129
- Food Science 246
- Biotechnology 101
Countries citing papers authored by N. Arrigoni
This map shows the geographic impact of N. Arrigoni'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 N. Arrigoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Arrigoni more than expected).
Fields of papers citing papers by N. Arrigoni
This network shows the impact of papers produced by N. Arrigoni. 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 N. Arrigoni. The network helps show where N. Arrigoni may publish in the future.
Co-authors
The 25 scholars most cited alongside N. Arrigoni, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 45 | |
| 2 | 2010 | 43 | |
| 3 | 2004 | 40 | |
| 4 | 2012 | 36 | |
| 5 | 2013 | 36 | |
| 6 | 2012 | 33 | |
| 7 | 2012 | 33 | |
| 8 | 2008 | 31 | |
| 9 | 2020 | 23 | |
| 10 | 2014 | 23 | |
| 11 | 2015 | 22 | |
| 12 | 2008 | 21 | |
| 13 | 2016 | 21 | |
| 14 | 2011 | 20 | |
| 15 | 2014 | 20 | |
| 16 | 2017 | 19 | |
| 17 | 2010 | 17 | |
| 18 | 2015 | 16 | |
| 19 | 2019 | 15 | |
| 20 | 2015 | 14 |
About N. Arrigoni
N. Arrigoni is a scholar working on Epidemiology, Molecular Biology, Agronomy and Crop Science, Food Science and Small Animals, having authored 63 papers that have together received 756 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (36 papers), Milk Quality and Mastitis in Dairy Cows (14 papers), Microbial infections and disease research (13 papers), Ginseng Biological Effects and Applications (12 papers), Infectious Diseases and Mycology (11 papers), Listeria monocytogenes in Food Safety (9 papers), Salmonella and Campylobacter epidemiology (7 papers) and Probiotics and Fermented Foods (5 papers). The work is most often cited by research in Agronomy and Crop Science (190 citations), Microbiology (111 citations), Small Animals (129 citations), Food Science (246 citations) and Biotechnology (101 citations). N. Arrigoni has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Matteo Ricchi, Chiara Garbarino, Pietro Buzzini, Federica Giacometti, Andrea Serraino, Paolo Daminelli, Silvia Piva, P. Moroni, R. Taddei and Paolo Bonilauri. Their work appears in journals such as Journal of Dairy Science, Veterinary Microbiology, Preventive Veterinary Medicine, Journal of Food Protection and Journal of Applied 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.