C. Pollera
Impact in
- Agronomy and Crop Science top 1%
- Milk Quality and Mastitis in Dairy Cows
- Reproductive Physiology in Livestock
- Virology top 10%
- HIV Research and Treatment
Papers in
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- Milk Quality and Mastitis in Dairy Cows 14
-
- Prion Diseases and Protein Misfolding 10
- Co-authors
- V. Bronzo (19 shared papers)P. Moroni (17 shared papers)Paola Cremonesi (7 shared papers)María Filippa Addis (9 shared papers)Bianca Castiglioni (5 shared papers)Giulio Curone (6 shared papers)S.R. Bareggi (9 shared papers)Joel Filipe (5 shared papers)
- Journals
- Veterinary Research Communications (6 papers)Journal of Dairy Science (4 papers)Research in Veterinary Science (2 papers)Journal of Chromatography B (2 papers)Brain Research (2 papers)
- Partner nations
- ItalyUnited StatesBrazil
In The Last Decade
C. Pollera
39 papers receiving 794 citations
Peers
Comparison fields: 5 of 47
- Agronomy and Crop Science 321
- Virology 49
- Infectious Diseases 52
- Small Animals 18
- Applied Microbiology and Biotechnology 5
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 | 113 | |
| 2 | 2018 | 95 | |
| 3 | 2014 | 84 | |
| 4 | 2017 | 75 | |
| 5 | 2020 | 50 | |
| 6 | 2005 | 41 | |
| 7 | 2015 | 35 | |
| 8 | 1997 | 30 | |
| 9 | 1997 | 30 | |
| 10 | 2019 | 29 | |
| 11 | 2006 | 21 | |
| 12 | 2019 | 19 | |
| 13 | 2015 | 17 | |
| 14 | 2019 | 17 | |
| 15 | 2020 | 16 | |
| 16 | 2013 | 15 | |
| 17 | 2005 | 13 | |
| 18 | 2008 | 13 | |
| 19 | 2009 | 13 | |
| 20 | 2007 | 12 |
About C. Pollera
C. Pollera is a scholar working on Agronomy and Crop Science, Molecular Biology, Virology, Immunology and Parasitology, having authored 39 papers that have together received 815 indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (14 papers), Prion Diseases and Protein Misfolding (10 papers), HIV Research and Treatment (2 papers), Biomarkers in Disease Mechanisms (2 papers), Analytical Methods in Pharmaceuticals (1 paper), Vector-borne infectious diseases (1 paper), Essential Oils and Antimicrobial Activity (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Agronomy and Crop Science (321 citations), Virology (49 citations), Infectious Diseases (52 citations), Small Animals (18 citations) and Applied Microbiology and Biotechnology (5 citations). C. Pollera has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include V. Bronzo, P. Moroni, Paola Cremonesi, María Filippa Addis, Bianca Castiglioni, Giulio Curone, S.R. Bareggi, Joel Filipe, Federica Riva and D. Vigo. Their work appears in journals such as Veterinary Research Communications, Journal of Dairy Science, Research in Veterinary Science, Journal of Chromatography B and Brain Research.
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.