Sergio Bernardini

17.8k total citations · 3 hit papers
428 papers, 12.1k citations indexed

About

Sergio Bernardini is a scholar working on Molecular Biology, Physiology and Infectious Diseases. According to data from OpenAlex, Sergio Bernardini has authored 428 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Molecular Biology, 84 papers in Physiology and 54 papers in Infectious Diseases. Recurrent topics in Sergio Bernardini's work include SARS-CoV-2 and COVID-19 Research (38 papers), COVID-19 Clinical Research Studies (35 papers) and Alzheimer's disease research and treatments (30 papers). Sergio Bernardini is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (38 papers), COVID-19 Clinical Research Studies (35 papers) and Alzheimer's disease research and treatments (30 papers). Sergio Bernardini collaborates with scholars based in Italy, United States and France. Sergio Bernardini's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Sergio Bernardini

409 papers receiving 11.8k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The COVID-19 pandemic

2020 831 citations Marco Ciotti, Alessandro Terrinoni et al. profile →
COVID-19 Outbreak: An Overview

2019 267 citations Marco Ciotti, Marilena Minieri et al. profile →
Anti-Inflammatory and Active Biological Properties of the Plant-Derived Bioactive Compounds Luteolin and Luteolin 7-Glucoside

2022 149 citations Sabrina Caporali, Cinzia Calabrese et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sergio Bernardini	3.7k	1.7k	1.4k	1.1k	1.0k	428	12.1k
Chun Zhang	5.5k 1.5×	979 0.6×	1.4k 1.0×	1.2k 1.1×	420 0.4×	559	14.2k
Qiang Liu	6.5k 1.8×	1.7k 1.0×	589 0.4×	1.8k 1.6×	1.5k 1.4×	564	14.9k
Francisco J. Quintana	6.1k 1.7×	1.9k 1.1×	772 0.5×	1.1k 0.9×	374 0.4×	199	20.2k
Wei Li	5.5k 1.5×	644 0.4×	1.1k 0.8×	995 0.9×	540 0.5×	335	10.2k
Gang Wang	6.3k 1.7×	2.3k 1.4×	1.5k 1.1×	2.1k 1.9×	406 0.4×	655	16.9k
Peter P. Liu	3.5k 1.0×	1.5k 0.9×	888 0.6×	734 0.6×	867 0.8×	197	18.6k
Gang Chen	4.9k 1.3×	576 0.3×	813 0.6×	1.6k 1.4×	1.1k 1.0×	512	13.0k
Qing Ye	3.7k 1.0×	696 0.4×	2.7k 1.9×	740 0.7×	632 0.6×	463	13.5k
Jing Li	4.2k 1.1×	1.2k 0.7×	318 0.2×	918 0.8×	958 0.9×	1.0k	19.7k
Jing Liu	9.6k 2.6×	1.5k 0.9×	976 0.7×	2.6k 2.3×	666 0.6×	1.2k	22.9k

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-authorship network of co-authors of Sergio Bernardini

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Bernardini. A scholar is included among the top collaborators of Sergio 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 Sergio Bernardini. Sergio Bernardini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Prezioso, Carla, Dolores Limongi, Paola Checconi, et al.. (2024). Role of miR-9 in Modulating NF-κB Signaling and Cytokine Expression in COVID-19 Patients. International Journal of Molecular Sciences. 25(16). 8930–8930.

Smatti, Maria K., Duaa W. Al‐Sadeq, Hebah A. Al-Khatib, et al.. (2024). SARS‐CoV‐2 infection triggers more potent antibody‐dependent cellular cytotoxicity (ADCC) responses than mRNA‐, vector‐, and inactivated virus‐based COVID‐19 vaccines. Journal of Medical Virology. 96(3). e29527–e29527. 1 indexed citations

Kumar, Manish, Wahid Ali, Kusum Yadav, et al.. (2024). High-Density Lipoprotein-Associated Paraoxonase-1 (PON-1) and Scavenger Receptor Class B Type 1 (SRB-1) in Coronary Artery Disease: Correlation with Disease Severity. Journal of Clinical Medicine. 13(18). 5480–5480. 2 indexed citations

Bernardini, Sergio. (2024). Future of laboratory medicine. SHILAP Revista de lepidopterología. 1(1). 100012–100012.

Orso, Massimiliano, et al.. (2024). HTA model for laboratory medicine technologies: overview of approaches adopted in some international agencies. Clinical Chemistry and Laboratory Medicine (CCLM). 62(10). 1928–1937.

Cennamo, Michele, Daniela Diamanti, Roberto Guerranti, et al.. (2024). Performance Evaluation of Automated Erythrocyte Sedimentation Rate (ESR) Analyzers in a Multicentric Study. Diagnostics. 14(18). 2011–2011. 1 indexed citations

Pieri, Massimo, Eleonora Nicolai, Cinzia Calabrese, et al.. (2024). Validation of AIA-360 for Determination of Presepsin: A Useful Tool for the Diagnosis of Sepsis at the Emergency Department. 2(1). 1–1. 1 indexed citations

Fernandes, Mariana, Matteo Spanetta, Fabio Placidi, et al.. (2023). A preliminary study investigating the clinical potential of measuring cerebrospinal-fluid lactate levels in patients with narcolepsy type 1 and 2. Physiology & Behavior. 272. 114371–114371.

Nicolai, Eleonora, et al.. (2023). The Role of Erythrocyte Sedimentation Rate (ESR) in Myeloproliferative and Lymphoproliferative Diseases: Comparison between DIESSE CUBE 30 TOUCH and Alifax Test 1. SHILAP Revista de lepidopterología. 11(4). 169–169. 4 indexed citations

10.

Morello, Maria, et al.. (2023). Urine Parameters in Patients with COVID-19 Infection. Life. 13(8). 1640–1640. 1 indexed citations

11.

Perrone, Marco Alfonso, Alberto Aimo, Sergio Bernardini, & Aldo Clerico. (2022). Natriuretic Peptides and Troponins to Predict Cardiovascular Events in Patients Undergoing Major Non-Cardiac Surgery. International Journal of Environmental Research and Public Health. 19(9). 5182–5182. 7 indexed citations

12.

Dabla, Pradeep Kumar, Damien Gruson, Bernard Gouget, Sergio Bernardini, & Evgenija Homšak. (2021). Lessons Learned from the COVID-19 Pandemic: Emphasizing the Emerging Role and Perspectives from Artificial Intelligence, Mobile Health, and Digital Laboratory Medicine.. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 7 indexed citations

13.

Dinarelli, Simone, Giovanni Longo, Stefano Cannata, et al.. (2020). Metal‐based micro and nanosized pollutant in marine organisms: What can we learn from a combined atomic force microscopy‐scanning electron microscopy study. Journal of Molecular Recognition. 33(12). e2851–e2851. 4 indexed citations

14.

Terrinoni, Alessandro, Consuelo Pitolli, Sabrina Caporali, et al.. (2019). Role of the TAp63 Isoform in Recurrent Nasal Polyps. Folia Biologica. 65(4). 170–180. 3 indexed citations

15.

Lattanzi, Roberta, Daniela Maftei, Carla Petrella, et al.. (2019). Involvement of the Chemokine Prokineticin-2 (PROK2) in Alzheimer’s Disease: From Animal Models to the Human Pathology. Cells. 8(11). 1430–1430. 17 indexed citations

16.

Schirinzi, Tommaso, Giulia Maria Sancesario, Giulia Di Lazzaro, et al.. (2018). CSF α-synuclein inversely correlates with non-motor symptoms in a cohort of PD patients. Parkinsonism & Related Disorders. 61. 203–206. 31 indexed citations

17.

Brierley, Gemma V., V. Grasso, Rossella Gaudino, et al.. (2018). Severe insulin resistance in disguise: A familial case of reactive hypoglycemia associated with a novel heterozygous INSR mutation. Pediatric Diabetes. 19(4). 670–674. 8 indexed citations

18.

Lippi, Giuseppe, Mauro Panteghini, Sergio Bernardini, et al.. (2017). Laboratory tests in the Emergency Department: A consensus document by SIBioC-Medicina di Laboratorio and the Academy of Emergency Medicine and Care. Cineca Institutional Research Information System (Tor Vergata University). 1 indexed citations

19.

Ialongo, Cristiano, Marco Marano, Pierfrancesco Bertucci, et al.. (2016). The importance of the toxicological analysis in newborns: Clearing the case of a tetralogy of Fallot with a paradoxical reaction to 1-hydroxymidazolam. SHILAP Revista de lepidopterología. 1 indexed citations

20.

Pieroni, Luisa, Stefano Levi Mortera, Viviana Greco, et al.. (2015). Biocompatibility assessment of haemodialysis membrane materials by proteomic investigations. Molecular BioSystems. 11(6). 1633–1643. 34 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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