Danilo Cereda

10.9k total citations · 1 hit paper
85 papers, 1.3k citations indexed

About

Danilo Cereda is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Danilo Cereda has authored 85 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Infectious Diseases, 33 papers in Epidemiology and 14 papers in Modeling and Simulation. Recurrent topics in Danilo Cereda's work include Influenza Virus Research Studies (17 papers), Respiratory viral infections research (17 papers) and SARS-CoV-2 and COVID-19 Research (16 papers). Danilo Cereda is often cited by papers focused on Influenza Virus Research Studies (17 papers), Respiratory viral infections research (17 papers) and SARS-CoV-2 and COVID-19 Research (16 papers). Danilo Cereda collaborates with scholars based in Italy, United Kingdom and United States. Danilo Cereda's co-authors include Lorenzo Moja, Rita Banzi, V.L. Pecoraro, Giulio Rigon, Alberto Vaona, Koren Hyogene Kwag, Irene Tramacere, Maria Gramegna, Marcello Tirani and Elena Pariani and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Danilo Cereda

76 papers receiving 1.3k citations

Hit Papers

E-learning for health professionals 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danilo Cereda Italy 18 521 331 240 217 151 85 1.3k
Maria Fenicia Vescio Italy 21 568 1.1× 420 1.3× 144 0.6× 309 1.4× 133 0.9× 63 1.4k
Claire S. Waddington United Kingdom 21 827 1.6× 261 0.8× 309 1.3× 144 0.7× 157 1.0× 48 1.5k
Vanessa Saliba United Kingdom 18 877 1.7× 487 1.5× 272 1.1× 351 1.6× 197 1.3× 49 1.8k
Carlos Dornels Freire de Souza Brazil 18 620 1.2× 196 0.6× 154 0.6× 203 0.9× 85 0.6× 143 1.3k
Van Thuan Hoang Vietnam 21 999 1.9× 274 0.8× 209 0.9× 315 1.5× 97 0.6× 89 1.7k
Victor Santana Santos Brazil 25 767 1.5× 263 0.8× 113 0.5× 218 1.0× 89 0.6× 122 1.7k
Rachel M. Burke United States 18 682 1.3× 161 0.5× 171 0.7× 103 0.5× 91 0.6× 65 1.3k
Nicolás Dauby Belgium 20 720 1.4× 499 1.5× 143 0.6× 198 0.9× 376 2.5× 101 1.6k
Sanjat Kanjilal United States 19 1.2k 2.2× 414 1.3× 175 0.7× 358 1.6× 178 1.2× 47 2.2k
Stéphanie Black United States 20 359 0.7× 177 0.5× 114 0.5× 158 0.7× 177 1.2× 50 1.1k

Countries citing papers authored by Danilo Cereda

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Cereda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danilo Cereda

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo Cereda. A scholar is included among the top collaborators of Danilo Cereda 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 Danilo Cereda. Danilo Cereda 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.
Colaneri, Marta, Marta Canuti, G Torrigiani, et al.. (2025). Predictors of COVID-19 Readmission Among Patients Previously Hospitalized for SARS-CoV-2. Infectious Diseases and Therapy. 14(2). 447–461.
3.
Carzaniga, Thomas, Valeria Calcaterra, Stephana Carelli, et al.. (2025). Dynamics of Multisystem Inflammatory Syndrome in Children (MIS-C) associated to COVID-19: steady severity despite declining cases and new SARS-CoV-2 variants—a single-center cohort study. European Journal of Pediatrics. 184(6). 327–327.
4.
Morani, Federica, et al.. (2025). Monitoring and Early Warning System: Regional Monitoring Strategy in Lombardy Region. Epidemiologia. 6(1). 7–7.
5.
Novazzi, Federica, Alessia Lai, Michela Boi, et al.. (2025). Large norovirus GII.17 outbreak in a school in Northern Italy: A novel emerging sublineage within an emerging genotype?. International Journal of Infectious Diseases. 162. 108185–108185.
6.
Pregliasco, F., et al.. (2024). Telephone calls to emergency medical service as a tool to predict influenza-like illness: A 10-year study. Public Health. 238. 239–244. 1 indexed citations
7.
Gori, María, Silvia Bianchi, Sabrina Senatore, et al.. (2024). Differential diagnosis on measles and rubella discarded cases highlights a sharp increase in parvovirus B19 infections in Milan, Northern Italy, in the first months of 2024. Journal of Medical Virology. 96(9). e29892–e29892. 2 indexed citations
8.
Mancon, Alessandro, Gloria Gagliardi, Andrea Giacomelli, et al.. (2024). Oropouche fever diagnosed in Milan, Italy in returning travellers from Rio de Janeiro, March 2024, and Cuba, July 2024. Journal of Travel Medicine. 31(7). 3 indexed citations
9.
Gori, María, Silvia Bianchi, Sabrina Senatore, et al.. (2024). Increased reports of measles in the Metropolitan City of Milan, northern Italy, September 2023 to March 2024. Eurosurveillance. 29(16). 4 indexed citations
10.
Pierangeli, Alessandra, Fabio Midulla, Antonio Piralla, et al.. (2024). Sequence analysis of respiratory syncytial virus cases reveals a novel subgroup -B strain circulating in north-central Italy after pandemic restrictions. Journal of Clinical Virology. 173. 105681–105681. 8 indexed citations
11.
Odone, Anna, et al.. (2024). Impact of PRECEDE–PROCEED Model Audits in Cancer Screening Programs in Lombardy Region: Supporting Equity and Quality Improvement. Current Oncology. 31(10). 5960–5973. 1 indexed citations
12.
Comelli, Agnese, et al.. (2024). How a laboratory-based antimicrobial resistance (AMR) regional surveillance system can address large-scale and local AMR epidemiology: the MICRO-BIO experience. Frontiers in Public Health. 12. 1341482–1341482. 1 indexed citations
13.
Gori, María, Luca Bolzoni, Erika Scaltriti, et al.. (2023). Listeria monocytogenes Transmission from Donated Blood to Platelet Transfusion Recipient, Italy. Emerging infectious diseases. 29(10). 2108–21011. 1 indexed citations
14.
D’Ambrosio, Roberta, Angiola Spinetti, Massimo Puoti, et al.. (2023). A territory‐wide opportunistic, hospital‐based HCV screening in the general population from northern Italy: The 1969–1989 birth‐cohort. Liver International. 43(12). 2645–2656. 4 indexed citations
15.
Deandrea, Silvia, et al.. (2023). Public health actions implemented by the Lombardy Region to revamp cervical cancer prevention. Population Medicine. 5(Supplement). 1 indexed citations
16.
Pellegrinelli, Laura, Sara Castiglioni, Clementina Cocuzza, et al.. (2022). Evaluation of Pre-Analytical and Analytical Methods for Detecting SARS-CoV-2 in Municipal Wastewater Samples in Northern Italy. Water. 14(5). 833–833. 8 indexed citations
18.
Zardini, Agnese, Marcello Tirani, Danilo Cereda, et al.. (2021). A quantitative assessment of epidemiological parameters required to investigate COVID-19 burden. Epidemics. 37. 100530–100530. 6 indexed citations
20.
Parente, Fabrizio, Cristian Vailati, Cinzia Boemo, et al.. (2014). Improved 5-year survival of patients with immunochemical faecal blood test-screen-detected colorectal cancer versus non-screening cancers in northern Italy. Digestive and Liver Disease. 47(1). 68–72. 30 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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