C. Pollera
Impact in
- Agronomy and Crop Science top 2%
- Milk Quality and Mastitis in Dairy Cows
- Microbiology top 5%
- Microbial infections and disease research
Papers in
-
- Milk Quality and Mastitis in Dairy Cows 14
- Food Science 10
- Probiotics and Fermented Foods 9
- Co-authors
- V. Bronzo (19 shared papers)P. Moroni (17 shared papers)Paola Cremonesi (7 shared papers)Bianca Castiglioni (5 shared papers)María Filippa Addis (9 shared papers)Giulio Curone (6 shared papers)S.R. Bareggi (9 shared papers)Wilma Ponti (11 shared papers)
- Journals
- Veterinary Research Communications (6 papers)Journal of Dairy Science (4 papers)Brain Research (2 papers)Research in Veterinary Science (2 papers)Journal of Chromatography B (2 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
C. Pollera
39 papers receiving 784 citations
Peers
Comparison fields: 5 of 88
- Agronomy and Crop Science 399
- Microbiology 86
- Food Science 235
- Virology 55
- Nutrition and Dietetics 90
Countries citing papers authored by C. Pollera
This map shows the geographic impact of C. Pollera'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 C. Pollera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Pollera more than expected).
Fields of papers citing papers by C. Pollera
This network shows the impact of papers produced by C. Pollera. 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 C. Pollera. The network helps show where C. Pollera may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Pollera, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 105 | |
| 2 | 2018 | 94 | |
| 3 | 2014 | 84 | |
| 4 | 2017 | 75 | |
| 5 | 2020 | 50 | |
| 6 | 2005 | 41 | |
| 7 | 2015 | 34 | |
| 8 | 1997 | 30 | |
| 9 | 1997 | 30 | |
| 10 | 2019 | 29 | |
| 11 | 2006 | 21 | |
| 12 | 2019 | 19 | |
| 13 | 2019 | 17 | |
| 14 | 2015 | 17 | |
| 15 | 2020 | 16 | |
| 16 | 2013 | 15 | |
| 17 | 2008 | 13 | |
| 18 | 2005 | 13 | |
| 19 | 2009 | 13 | |
| 20 | 2007 | 12 |
About C. Pollera
C. Pollera is a scholar working on Agronomy and Crop Science, Food Science, Nutrition and Dietetics, Molecular Biology and Microbiology, having authored 39 papers that have together received 804 indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (14 papers), Prion Diseases and Protein Misfolding (12 papers), Probiotics and Fermented Foods (9 papers), Trace Elements in Health (4 papers), Alzheimer's disease research and treatments (4 papers), Infant Nutrition and Health (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Agronomy and Crop Science (399 citations), Microbiology (86 citations), Food Science (235 citations), Virology (55 citations) and Nutrition and Dietetics (90 citations). C. Pollera has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include V. Bronzo, P. Moroni, Paola Cremonesi, Bianca Castiglioni, María Filippa Addis, Giulio Curone, S.R. Bareggi, Wilma Ponti, Joel Fernando Soares Filipe and D. Vigo. Their work appears in journals such as Veterinary Research Communications, Journal of Dairy Science, Brain Research, Research in Veterinary Science and Journal of Chromatography B.
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.