Daniele Bernardini

910 total citations
36 papers, 709 citations indexed

About

Daniele Bernardini is a scholar working on Small Animals, Animal Science and Zoology and Genetics. According to data from OpenAlex, Daniele Bernardini has authored 36 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Small Animals, 7 papers in Animal Science and Zoology and 6 papers in Genetics. Recurrent topics in Daniele Bernardini's work include Meat and Animal Product Quality (4 papers), Animal health and immunology (3 papers) and Genetic and phenotypic traits in livestock (3 papers). Daniele Bernardini is often cited by papers focused on Meat and Animal Product Quality (4 papers), Animal health and immunology (3 papers) and Genetic and phenotypic traits in livestock (3 papers). Daniele Bernardini collaborates with scholars based in Italy, United States and Czechia. Daniele Bernardini's co-authors include Maurizio Dalle Carbonare, Alessandro Zotti, Severino Segato, Vanni Ferrari, Alberta Leon, Adriano Guiotto, Salvatore Terrazzino, Michele Fabris, Maurizio Isola and Davide Colavito and has published in prestigious journals such as The FASEB Journal, Journal of Animal Science and Vaccine.

In The Last Decade

Daniele Bernardini

36 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniele Bernardini Italy 17 136 131 127 108 78 36 709
Marco Pietra Italy 21 209 1.5× 98 0.7× 247 1.9× 105 1.0× 71 0.9× 101 1.2k
Jeffrey Wimsatt United States 19 51 0.4× 122 0.9× 143 1.1× 63 0.6× 50 0.6× 49 1.0k
Charles E. Wiedmeyer United States 23 135 1.0× 47 0.4× 147 1.2× 147 1.4× 55 0.7× 58 1.3k
Michael J. Bertoldo Australia 23 107 0.8× 64 0.5× 113 0.9× 131 1.2× 126 1.6× 50 1.4k
Natalia Schlabritz‐Loutsevitch United States 20 115 0.8× 71 0.5× 214 1.7× 270 2.5× 16 0.2× 72 2.0k
Azhar Maqbool United Kingdom 20 173 1.3× 26 0.2× 152 1.2× 72 0.7× 111 1.4× 92 1.4k
Jonathan Tuke Australia 20 95 0.7× 36 0.3× 124 1.0× 156 1.4× 32 0.4× 64 1.1k
C. Max Lang United States 19 92 0.7× 21 0.2× 169 1.3× 91 0.8× 81 1.0× 41 821
Emma Roberts United Kingdom 20 287 2.1× 308 2.4× 90 0.7× 97 0.9× 22 0.3× 44 1.2k
John D. Jacobson United States 19 215 1.6× 24 0.2× 195 1.5× 48 0.4× 41 0.5× 59 1.1k

Countries citing papers authored by Daniele Bernardini

Since Specialization
Citations

This map shows the geographic impact of Daniele Bernardini'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 Daniele Bernardini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Bernardini more than expected).

Fields of papers citing papers by Daniele Bernardini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniele Bernardini. 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 Daniele Bernardini. The network helps show where Daniele Bernardini may publish in the future.

Co-authorship network of co-authors of Daniele Bernardini

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Bernardini. A scholar is included among the top collaborators of Daniele Bernardini 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 Daniele Bernardini. Daniele Bernardini 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.
Milani, Luca, et al.. (2020). Assessing the Effects of Donkey-Assisted Therapy on Adults with Intellectual Disabilities Using the ICF Framework. Society and Animals. 30(2). 188–209. 5 indexed citations
3.
Antonioli, Paola, Giorgia Valpiani, Daniele Bernardini, et al.. (2020). A 2-year point-prevalence surveillance of healthcare-associated infections and antimicrobial use in Ferrara University Hospital, Italy. BMC Infectious Diseases. 20(1). 75–75. 16 indexed citations
4.
Peli, Angelo, et al.. (2013). Influence of heat stress on the immunity in growing beef cattle.. Large animals review. 19(5). 215–218. 8 indexed citations
5.
Busetto, Roberto, et al.. (2012). Accuracy and precision of computer-assisted analysis of bone density via conventional and digital radiography in relation to dual-energy x-ray absorptiometry. American Journal of Veterinary Research. 73(3). 381–384. 13 indexed citations
6.
Isola, Maurizio, Vincenzo Ferrari, Daniele Bernardini, et al.. (2011). Nerve growth factor concentrations in the synovial fluid from healthy dogs and dogs with secondary osteoarthritis. Veterinary and Comparative Orthopaedics and Traumatology. 24(4). 279–284. 41 indexed citations
7.
Bernardini, Daniele, G. Gerardi, Angelo Peli, et al.. (2011). The effects of different environmental conditions on thermoregulation and clinical and hematological variables in long-distance road-transported calves1. Journal of Animal Science. 90(4). 1183–1191. 39 indexed citations
9.
Gelli, D, V. Ferrari, Franco Franceschini, et al.. (2009). Serum Biochemistry and Electrophoretic Patterns in the Eurasian Buzzard (Buteo buteo): Reference Values. Journal of Wildlife Diseases. 45(3). 828–833. 10 indexed citations
10.
Bernardini, Daniele, G. Gerardi, Barbara Contiero, & Marco Caldín. (2009). Interference of haemolysis and hyperproteinemia on Sodium, Potassium, and Chloride measurements in canine serum samples. Veterinary Research Communications. 33(S1). 173–176. 5 indexed citations
11.
Bernardini, Daniele, et al.. (2009). Use of serum amyloid A and milk amyloid A in the diagnosis of subclinical mastitis in dairy cows. Journal of Dairy Research. 76(4). 411–417. 41 indexed citations
12.
Ninno, A. De, et al.. (2008). Effects of electromagnetic fields of low frequency and low intensity on rat metabolism. PubMed. 6(1). 3–3. 50 indexed citations
13.
Zotti, Alessandro, Paolo Selleri, Paolo Carnier, M. Morgante, & Daniele Bernardini. (2004). Relationship between metabolic bone disease and bone mineral density measured by dual‐energy X‐ray absorptiometry in the green iguana (Iguana iguana). Veterinary Radiology & Ultrasound. 45(1). 10–16. 17 indexed citations
14.
Zotti, Alessandro, et al.. (2004). Vertebral Mineral Density Measured by Dual‐energy X‐ray Absorptiometry (DEXA) in a Group of Healthy Italian Boxer Dogs. Journal of Veterinary Medicine Series A. 51(5). 254–258. 19 indexed citations
15.
Zotti, Alessandro, et al.. (2003). ACCURACY AND PRECISION OF DUAL‐ENERGY X‐RAY ABSORPTIOMETRY FOR EX VIVO DETERMINATION OF MINERAL CONTENT IN TURKEY POULT BONES. Veterinary Radiology & Ultrasound. 44(1). 49–52. 17 indexed citations
16.
D’Andrea, G, et al.. (2003). Neurogenic inflammation in primary headaches. Neurological Sciences. 24(S2). s61–s64. 39 indexed citations
17.
Guglielmini, Carlo & Daniele Bernardini. (2003). ECHO‐DOPPLER FINDINGS OF A CAROTID‐JUGULAR FISTULA IN A FOAL. Veterinary Radiology & Ultrasound. 44(3). 310–314. 7 indexed citations
18.
Guglielmini, Carlo, Alessandro Zotti, Daniele Bernardini, et al.. (2002). Bone density of the arm and forearm as an age indicator in specimens of stranded striped dolphins (stenella coeruleoalba). The Anatomical Record. 267(3). 225–230. 21 indexed citations
19.
Bernardini, Daniele, et al.. (1999). A case of quadricuspid aortic valve in a calf.. Large animals review. 5(2). 41–44. 1 indexed citations
20.
Valente, Cristina, et al.. (1999). Preliminary study on Concanavalin A in whey to evaluate the health status of the mammary gland.. Italian Journal of Food Science. 11(1). 67–73. 1 indexed citations

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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