C. Pollera

1.1k total citations
42 papers, 735 citations indexed

About

C. Pollera is a scholar working on Molecular Biology, Agronomy and Crop Science and Food Science. According to data from OpenAlex, C. Pollera has authored 42 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Agronomy and Crop Science and 11 papers in Food Science. Recurrent topics in C. Pollera's work include Milk Quality and Mastitis in Dairy Cows (16 papers), Prion Diseases and Protein Misfolding (13 papers) and Probiotics and Fermented Foods (10 papers). C. Pollera is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (16 papers), Prion Diseases and Protein Misfolding (13 papers) and Probiotics and Fermented Foods (10 papers). C. Pollera collaborates with scholars based in Italy, United States and Switzerland. C. Pollera's co-authors include V. Bronzo, P. Moroni, Paola Cremonesi, María Filippa Addis, Bianca Castiglioni, S.R. Bareggi, Giulio Curone, W. Ponti, Erminio Trevisi and Joel Filipe and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

C. Pollera

37 papers receiving 717 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C. Pollera Italy 16 368 242 238 105 89 42 735
Khampoune Sayasith Canada 14 307 0.8× 138 0.6× 274 1.2× 87 0.8× 157 1.8× 26 826
Céline Ster Canada 16 373 1.0× 163 0.7× 226 0.9× 108 1.0× 133 1.5× 24 830
Ahmed M. Alluwaimi Saudi Arabia 11 245 0.7× 140 0.6× 68 0.3× 96 0.9× 78 0.9× 28 552
Marie S. Bulgin United States 17 107 0.3× 68 0.3× 311 1.3× 56 0.5× 36 0.4× 44 711
Jianliang Lv China 13 161 0.4× 118 0.5× 241 1.0× 117 1.1× 35 0.4× 33 575
Yuncai Xiao China 17 57 0.2× 90 0.4× 263 1.1× 145 1.4× 93 1.0× 61 739
Guillaume Tabouret France 20 121 0.3× 46 0.2× 530 2.2× 118 1.1× 132 1.5× 31 1.2k
Gwénaël Jan France 12 102 0.3× 344 1.4× 549 2.3× 118 1.1× 67 0.8× 15 817
Aloka B. Bandara United States 14 63 0.2× 58 0.2× 407 1.7× 42 0.4× 79 0.9× 30 757
Kampon Kaeoket Thailand 21 343 0.9× 57 0.2× 120 0.5× 83 0.8× 186 2.1× 74 1.1k

Countries citing papers authored by C. Pollera

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of C. Pollera

This figure shows the co-authorship network connecting the top 25 collaborators of C. Pollera. A scholar is included among the top collaborators of C. Pollera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. Pollera. C. Pollera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Pollera, C., V. Bronzo, Renata Piccinini, et al.. (2024). Impact of sample refrigeration and freezing on the bacteriological counts of different bedding materials for dairy cows. BMC Veterinary Research. 20(1). 410–410.
3.
Pollera, C., et al.. (2023). Effect of the Selective Dry Cow Therapy on Udder Health and Milk Microbiota. Antibiotics. 12(8). 1259–1259. 3 indexed citations
4.
Pisanu, Salvatore, Carla Cacciotto, Daniela Pagnozzi, et al.. (2020). Proteomic datasets of uninfected and Staphylococcus aureus-infected goat milk. SHILAP Revista de lepidopterología. 30. 105665–105665.
5.
Pisanu, Salvatore, Carla Cacciotto, Daniela Pagnozzi, et al.. (2019). Proteomic changes in the milk of water buffaloes (Bubalus bubalis) with subclinical mastitis due to intramammary infection by Staphylococcus aureus and by non-aureus staphylococci. Scientific Reports. 9(1). 15850–15850. 26 indexed citations
6.
Cremonesi, Paola, Camilla Ceccarani, Giulio Curone, et al.. (2018). Milk microbiome diversity and bacterial group prevalence in a comparison between healthy Holstein Friesian and Rendena cows. PLoS ONE. 13(10). e0205054–e0205054. 84 indexed citations
7.
Filipe, Joel, Giulio Curone, V. Bronzo, et al.. (2018). Pentraxin 3 is up-regulated in epithelial mammary cells during Staphylococcus aureus intra-mammary infection in goat. Comparative Immunology Microbiology and Infectious Diseases. 59. 8–16. 6 indexed citations
8.
Ospina, P.A., N. Rota, Chiara Locatelli, et al.. (2016). Randomized noninferiority field trial comparing 2 first-generation cephalosporin products at dry off in quarters receiving an internal teat sealant in dairy cows. Journal of Dairy Science. 99(8). 6519–6531. 5 indexed citations
9.
Plantard, Olivier, Valentina Serra, C. Pollera, et al.. (2015). Antibiotic treatment of the hard tick Ixodes ricinus: Influence on Midichloria mitochondrii load following blood meal. Ticks and Tick-borne Diseases. 6(5). 653–657. 17 indexed citations
10.
Schukken, Y.H., V. Bronzo, C. Locatelli, et al.. (2014). Efficacy of vaccination on Staphylococcus aureus and coagulase-negative staphylococci intramammary infection dynamics in 2 dairy herds. Journal of Dairy Science. 97(8). 5250–5264. 72 indexed citations
11.
Cremonesi, Paola, et al.. (2013). Identification of virulence factors in 16S-23S rRNA intergenic spacer genotyped Staphylococcus aureus isolated from water buffaloes and small ruminants. Journal of Dairy Science. 96(12). 7666–7674. 8 indexed citations
12.
Scaccabarozzi, L., G. Pisoni, V. Bronzo, et al.. (2013). Helcococcus kunzii and Helcococcus ovis isolated in dairy cows with puerperal metritis. The Journal of General and Applied Microbiology. 59(5). 371–374. 15 indexed citations
13.
Bareggi, S.R., Daniela Braida, C. Pollera, et al.. (2009). Effects of clioquinol on memory impairment and the neurochemical modifications induced by scrapie infection in golden hamsters. Brain Research. 1280. 195–200. 11 indexed citations
14.
Pollera, C., Gianpietro Bondiolotti, Paolo Mantegazza, et al.. (2007). Plasma Noradrenalin as Marker of Neuroinvasion in Prion Diseases. Veterinary Research Communications. 31(S1). 249–252. 3 indexed citations
15.
Bondiolotti, Gianpietro, C. Pollera, Romano C. Pirola, & S.R. Bareggi. (2006). Determination of 5-chloro-7-iodo-8-quinolinol (clioquinol) in plasma and tissues of hamsters by high-performance liquid chromatography and electrochemical detection. Journal of Chromatography B. 837(1-2). 87–91. 21 indexed citations
16.
Magri, Giuliana, Mario Clerici, P. Dall’Ara, et al.. (2005). Decrease in pathology and progression of scrapie after immunisation with synthetic prion protein peptides in hamsters. Vaccine. 23(22). 2862–2868. 38 indexed citations
17.
Ponti, W., Mariaelvina Sala, C. Pollera, et al.. (2004). In vivo Model for the Evaluation of Molecules Active Towards Transmissible Spongiform Encephalopathies. Veterinary Research Communications. 28(S1). 307–310. 7 indexed citations
18.
Pollera, C., et al.. (2003). Development of in vitro Cell Cultures for the Evaluation of Molecules with Antiprionic Activity. Veterinary Research Communications. 27(S1). 719–721. 1 indexed citations
19.
Pollera, C., et al.. (2003). Development of In Vitro Cell Cultures for the Evaluation of Molecules with Antiprionic Activity. Veterinary Research Communications. 27(S1). 347–349. 1 indexed citations
20.

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.

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