Giuseppe Ru

8.1k total citations
105 papers, 1.6k citations indexed

About

Giuseppe Ru is a scholar working on Molecular Biology, Agronomy and Crop Science and Neurology. According to data from OpenAlex, Giuseppe Ru has authored 105 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 26 papers in Agronomy and Crop Science and 12 papers in Neurology. Recurrent topics in Giuseppe Ru's work include Prion Diseases and Protein Misfolding (37 papers), Animal Disease Management and Epidemiology (25 papers) and Neurological diseases and metabolism (12 papers). Giuseppe Ru is often cited by papers focused on Prion Diseases and Protein Misfolding (37 papers), Animal Disease Management and Epidemiology (25 papers) and Neurological diseases and metabolism (12 papers). Giuseppe Ru collaborates with scholars based in Italy, United Kingdom and France. Giuseppe Ru's co-authors include Benedetto Terracini, Lawrence T. Glickman, Maria Caramelli, Pier Luigi Acutis, Cristiana Maurella, Cristina Casalone, Elisa Baioni, Elena Bozzetta, Francesco Ingravalle and Silvia Bertolini and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Virology.

In The Last Decade

Giuseppe Ru

96 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giuseppe Ru Italy 21 609 338 291 229 226 105 1.6k
Elena Bozzetta Italy 21 452 0.7× 204 0.6× 188 0.6× 150 0.7× 73 0.3× 137 1.4k
Ingeborg M. Langohr United States 23 349 0.6× 216 0.6× 141 0.5× 242 1.1× 134 0.6× 147 1.9k
Marta Vascellari Italy 23 283 0.5× 645 1.9× 378 1.3× 281 1.2× 45 0.2× 106 1.8k
Cristina Lecchi Italy 23 425 0.7× 71 0.2× 310 1.1× 132 0.6× 139 0.6× 93 1.5k
Gilles Foucras France 29 570 0.9× 55 0.2× 238 0.8× 591 2.6× 147 0.7× 97 3.2k
Rafael A. Fighera Brazil 21 256 0.4× 316 0.9× 428 1.5× 162 0.7× 20 0.1× 163 1.5k
A. Corradi Italy 20 250 0.4× 72 0.2× 146 0.5× 156 0.7× 61 0.3× 77 1.2k
Katherine L. Knight United States 33 1.6k 2.6× 81 0.2× 66 0.2× 369 1.6× 132 0.6× 153 3.7k
Claire B. Andreasen United States 24 179 0.3× 188 0.6× 245 0.8× 86 0.4× 46 0.2× 74 1.8k
Isabel Hennig‐Pauka Germany 26 298 0.5× 40 0.1× 199 0.7× 161 0.7× 85 0.4× 113 1.8k

Countries citing papers authored by Giuseppe Ru

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Ru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Ru

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Ru. A scholar is included among the top collaborators of Giuseppe Ru 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 Giuseppe Ru. Giuseppe Ru 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.
Ceballos, Leonardo A., Giuseppe Ru, Serena Robetto, et al.. (2023). FIRST EVIDENCE OF HANTAVIRUSES CIRCULATION IN RODENTS HOST (MUS DOMESTICUS) ON FARMS IN PIEDMONT, NORTHWESTERN ITALY, IN A ONE HEALTH APPROACH. International Journal of Infectious Diseases. 130. S16–S17. 1 indexed citations
3.
Esposito, Giovanna, Paolo Pastorino, Francesco Ingravalle, et al.. (2022). Discrimination between Wild and Farmed Sea Bass by Using New Spectrometry and Spectroscopy Methods. Foods. 11(12). 1673–1673. 7 indexed citations
4.
Ru, Giuseppe, Daniela Meloni, Elena Bozzetta, et al.. (2022). Chronic Wasting Disease Monitoring in Italy 2017–2019: Neuropathological Findings in Cervids. Pathogens. 11(4). 401–401. 2 indexed citations
5.
Crescio, Maria Ines, Gianluca Mastrantonio, Silvia Bertolini, et al.. (2020). Using network analysis to identify seasonal patterns and key nodes for risk‐based surveillance of pig diseases in Italy. Transboundary and Emerging Diseases. 68(6). 3541–3551. 7 indexed citations
6.
Robetto, Serena, Federica Di Profio, Vittorio Sarchese, et al.. (2020). Surveillance Study of Hepatitis E Virus (HEV) in Domestic and Wild Ruminants in Northwestern Italy. Animals. 10(12). 2351–2351. 21 indexed citations
7.
Nardi, Marco De, Maria Ines Crescio, Agustín Estrada‐Peña, et al.. (2019). Maximising data to optimise animal disease early warning systems and risk assessment tools within Europe. Microbial Risk Analysis. 13. 100072–100072. 5 indexed citations
8.
Simons, Robin, et al.. (2019). Communicating outputs from risk assessment models: A picture paints a thousand words. Microbial Risk Analysis. 13. 100084–100084. 1 indexed citations
9.
10.
Maurella, Cristiana, Gianluca Mastrantonio, Silvia Bertolini, et al.. (2019). Social network analysis and risk assessment: An example of introducing an exotic animal disease in Italy. Microbial Risk Analysis. 13. 100074–100074. 6 indexed citations
11.
Estrada‐Peña, Agustín, Silvia Bertolini, Maria Ines Crescio, et al.. (2018). Evaluating a mixed abiotic–biotic model for the distribution and host contact rates of an arthropod vector of pathogens: An example with Ixodes ricinus (Ixodidae). Microbial Risk Analysis. 13. 100067–100067. 5 indexed citations
12.
Prearo, Marino, Rosanna Desiato, Chiara Bulfon, et al.. (2018). Dioxin-like Compounds in Lake Fish Species: Evaluation by DR-CALUX Bioassay. Journal of Food Protection. 81(5). 842–847. 4 indexed citations
13.
Martucci, Francesca, Rosanna Desiato, Alessandro Ubaldi, et al.. (2013). Evaluation of the DR-CALUX® bioassay as screening method for the detection of contamination by dioxins in milk in Piedmont.. Large animals review. 19(3). 107–114. 4 indexed citations
14.
Bertolini, Silvia, et al.. (2011). The passive surveillance for classical scrapie in Italy is not able to provide additional and complementary information compared to active surveillance.. 149–150. 1 indexed citations
15.
Vaccari, Gabriele, Cristiana Maurella, R. Lorenzetti, et al.. (2009). The AHQ allele is a risk factor for atypical scrapie Nor98 in goat.. Large animals review. 15(2). 61–64. 1 indexed citations
16.
Ingravalle, Francesco, et al.. (2009). Interlaboratory trial on TSE rapid tests for the control of the Italian scrapie surveillance network. Veterinary Microbiology. 139(1-2). 126–131. 3 indexed citations
17.
18.
Bozzetta, Elena, et al.. (2006). Evaluation of an Enzyme Immunoassay for the Detection of Central Nervous System Tissue Contamination at the Slaughterhouse. Journal of Food Protection. 69(9). 2289–2292. 5 indexed citations
19.
D’Angelo, Antonio, Cristiana Maurella, Antonio Borrelli, et al.. (2006). Assessment of clinical criteria to diagnose scrapie in Italy. The Veterinary Journal. 174(1). 106–112. 8 indexed citations
20.
Caramelli, Maria, et al.. (2003). Bovine spongiform encephalopathy in Italian herds.. PubMed. 153(23). 711–2. 6 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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