Sergio Bernardini

415 papers receiving 12.1k citations

Sergio Bernardini's Hit Papers

The COVID-19 pandemic 2020 · 861 citations
8610+2+4Years since publication250500750

Peers

Sergio Bernardini
Comparison fields: 5 of 202
  • Biological Psychiatry 219
  • Cancer Research 1.0k
  • Infectious Diseases 1.2k
  • Health Informatics 87
  • Physiology 1.4k
Replace Douglas L. Mann with:
Douglas L. Mann United States
Dan L. Longo United States
Wei Wang China
Nima Rezaei Iran
Fang Fang China
Nathan D. Price United States
Gang Chen China
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Sergio Bernardini relative to Douglas L. Mann United States Douglas L. Mann's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sergio Bernardini

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Bernardini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sergio Bernardini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sergio Bernardini Line = papers co-authored together Sergio Bernardini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 433 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The COVID-19 pandemic
Hit paper breakdown →
2020861
2
COVID-19 Outbreak: An Overview
Hit paper breakdown →
2019274
3 2013263
4 2014260
5 2017259
6 2013181
7 2016181
8 2011179
9 2007174
10 2020173
11 2019163
12 2022162
13 2008142
14 2003138
15 2012125
16 2013115
17 2012114
18 2016112
19 2020108
20 2011107

About Sergio Bernardini

Sergio Bernardini is a scholar working on Molecular Biology, Physiology, Infectious Diseases, Neurology and Cellular and Molecular Neuroscience, having authored 433 papers that have together received 12.4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (33 papers), COVID-19 Clinical Research Studies (29 papers), Alzheimer's disease research and treatments (25 papers), Clinical Laboratory Practices and Quality Control (19 papers), SARS-CoV-2 detection and testing (19 papers), Sleep and Wakefulness Research (14 papers), Dementia and Cognitive Impairment Research (14 papers) and Parkinson's Disease Mechanisms and Treatments (13 papers). The work is most often cited by research in Biological Psychiatry (219 citations), Cancer Research (1.0k citations), Infectious Diseases (1.2k citations), Health Informatics (87 citations) and Physiology (1.4k citations). Sergio Bernardini has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Giorgio Federici, Marco Ciotti, Massimo Ciccozzi, Alessandro Terrinoni, Giulia Maria Sancesario, Marzia Nuccetelli, Massimo Pieri, Cheng-Bin Wang, Stefano Cannata and Nicola Biagio Mercuri. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, International Journal of Molecular Sciences, International Immunopharmacology and Journal of Alzheimer s Disease.

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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