Matteo Ricchi
Impact in
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment
- Mycobacterium research and diagnosis
- Microbiology top 5%
- Microbial infections and disease research
Papers in
- Microbiology 11
- Microbial infections and disease research 10
- Epidemiology 42
- Mycobacterium research and diagnosis 31
- Liver Disease Diagnosis and Treatment 8
- Co-authors
- Petr KrálíkPaola LoriaAmedeo LonardoLucia CarulliNicola CarulliMarco BertolottiN. ArrigoniStefano Ballestri
- Journals
- Journal of Dairy Science (7 papers)Frontiers in Microbiology (5 papers)Veterinary Microbiology (4 papers)Animals (4 papers)Journal of Applied Microbiology (3 papers)
- Partner nations
- ItalyUnited StatesCzechia
In The Last Decade
Matteo Ricchi
64 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Epidemiology 944
- Microbiology 145
- Agronomy and Crop Science 236
- Hepatology 167
- Endocrinology 97
Countries citing papers authored by Matteo Ricchi
This map shows the geographic impact of Matteo Ricchi'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 Matteo Ricchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Ricchi more than expected).
Fields of papers citing papers by Matteo Ricchi
This network shows the impact of papers produced by Matteo Ricchi. 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 Matteo Ricchi. The network helps show where Matteo Ricchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Ricchi, 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 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 6 | |
| 11 | 2019 | 8 | |
| 12 | 2018 | 239 | |
| 13 | 2017 | 19 | |
| 14 | 2016 | 5 | |
| 15 | 2014 | 6 | |
| 16 | 2012 | 33 | |
| 17 | Prototheca bovine mastitis. | 2010 | 1 |
| 18 | 2006 | 7 | |
| 19 | 2005 | 52 | |
| 20 | 2005 | 74 |
About Matteo Ricchi
Matteo Ricchi is a scholar working on Microbiology, Epidemiology, Agronomy and Crop Science, Small Animals and Food Science, having authored 68 papers that have together received 2.5k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (31 papers), Ginseng Biological Effects and Applications (12 papers), Milk Quality and Mastitis in Dairy Cows (11 papers), Microbial infections and disease research (10 papers), Liver Disease Diagnosis and Treatment (8 papers), Probiotics and Fermented Foods (7 papers), Bacteriophages and microbial interactions (6 papers) and Infectious Diseases and Mycology (6 papers). The work is most often cited by research in Epidemiology (944 citations), Microbiology (145 citations), Agronomy and Crop Science (236 citations), Hepatology (167 citations) and Endocrinology (97 citations). Matteo Ricchi has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Petr Králík, Paola Loria, Amedeo Lonardo, Lucia Carulli, Nicola Carulli, Marco Bertolotti, N. Arrigoni, Stefano Ballestri, Claudia Anzivino and S. Lombardini. Their work appears in journals such as Journal of Dairy Science, Frontiers in Microbiology, Veterinary Microbiology, Animals 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.