Duccio Medini

8.7k total citations · 3 hit papers
44 papers, 3.9k citations indexed

About

Duccio Medini is a scholar working on Epidemiology, Microbiology and Molecular Biology. According to data from OpenAlex, Duccio Medini has authored 44 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 24 papers in Microbiology and 19 papers in Molecular Biology. Recurrent topics in Duccio Medini's work include Bacterial Infections and Vaccines (24 papers), Pneumonia and Respiratory Infections (21 papers) and Influenza Virus Research Studies (11 papers). Duccio Medini is often cited by papers focused on Bacterial Infections and Vaccines (24 papers), Pneumonia and Respiratory Infections (21 papers) and Influenza Virus Research Studies (11 papers). Duccio Medini collaborates with scholars based in Italy, United States and United Kingdom. Duccio Medini's co-authors include Hervé Tettelin, David R. Riley, Rino Rappuoli, Claudio Donati, Ciro Cattuto, Vega Masignani, George Vernikos, Davide Serruto, Maria Stella and Antonello Covacci and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Nature Reviews Microbiology.

In The Last Decade

Duccio Medini

43 papers receiving 3.8k citations

Hit Papers

The microbial pan-genome 2005 2026 2012 2019 2005 2008 2014 250 500 750

Peers

Duccio Medini
Brian J. Akerley United States
Jiaji Zhou United Kingdom
Jane A. Bygraves United Kingdom
Derek W. Hood United Kingdom
Mandy Sanders United Kingdom
Bart Barrell United Kingdom
Duccio Medini
Citations per year, relative to Duccio Medini Duccio Medini (= 1×) peers Vega Masignani

Countries citing papers authored by Duccio Medini

Since Specialization
Citations

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

Fields of papers citing papers by Duccio Medini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duccio Medini

This figure shows the co-authorship network connecting the top 25 collaborators of Duccio Medini. A scholar is included among the top collaborators of Duccio Medini 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 Duccio Medini. Duccio Medini 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.
Marino, Roberta, Vanesa Bol, Michele Caselle, et al.. (2024). An integrative network-based approach to identify driving gene communities in chronic obstructive pulmonary disease. npj Systems Biology and Applications. 10(1). 125–125. 1 indexed citations
2.
Prunas, Ottavia, et al.. (2024). Modeling the persistence of 4CMenB vaccine protection against real world meningococcal B disease in adolescents. npj Vaccines. 9(1). 239–239. 1 indexed citations
3.
Abbing‐Karahagopian, Victoria, et al.. (2021). A re-assessment of 4CMenB vaccine effectiveness against serogroup B invasive meningococcal disease in England based on an incidence model. BMC Infectious Diseases. 21(1). 1244–1244. 4 indexed citations
4.
Blengio, Fabiola, Chiara Sammicheli, Simona Tavarini, et al.. (2021). Single-Cell Analysis of Antigen-Specific CD8+ T-Cell Transcripts Reveals Profiles Specific to mRNA or Adjuvanted Protein Vaccines. Frontiers in Immunology. 12. 757151–757151. 3 indexed citations
5.
Buricchi, Francesca, Gianfranco Volpini, Paola Lo Surdo, et al.. (2021). Computational modeling of microfluidic data provides high-throughput affinity estimates for monoclonal antibodies. Computational and Structural Biotechnology Journal. 19. 3664–3672. 3 indexed citations
6.
Oostendorp, Jaap, Thomas Koernicke, Ugo D’Oro, et al.. (2019). Adjuvant effect of TLR7 agonist adsorbed on aluminum hydroxide (AS37): A phase I randomized, dose escalation study of an AS37-adjuvanted meningococcal C conjugated vaccine. Clinical Immunology. 209. 108275–108275. 15 indexed citations
7.
Marchetti, Luca, et al.. (2017). Exploring the Limitations of Peripheral Blood Transcriptional Biomarkers in Predicting Influenza Vaccine Responsiveness. Complexity. 2017. 1–9. 2 indexed citations
8.
Abad, Raquel, María Carmen Fariñas, Luis Martínez‐Martínez, et al.. (2017). Potential impact of the 4CMenB vaccine on oropharyngeal carriage of Neisseria meningitidis. Journal of Infection. 75(6). 511–520. 4 indexed citations
9.
Spensieri, Fabiana, Emilio Siena, Erica Borgogni, et al.. (2016). Early Rise of Blood T Follicular Helper Cell Subsets and Baseline Immunity as Predictors of Persisting Late Functional Antibody Responses to Vaccination in Humans. PLoS ONE. 11(6). e0157066–e0157066. 37 indexed citations
10.
Siena, Emilio, Romina D’Aurizio, David R. Riley, et al.. (2016). In-silico prediction and deep-DNA sequencing validation indicate phase variation in 115 Neisseria meningitidis genes. BMC Genomics. 17(1). 843–843. 19 indexed citations
11.
Tizzoni, Michele, et al.. (2016). Fast and accurate dynamic estimation of field effectiveness of meningococcal vaccines. BMC Medicine. 14(1). 98–98. 12 indexed citations
12.
Bettinger, Julie A., David W. Scheifele, Scott A. Halperin, et al.. (2013). Diversity of Canadian meningococcal serogroup B isolates and estimated coverage by an investigational meningococcal serogroup B vaccine (4CMenB). Vaccine. 32(1). 124–130. 77 indexed citations
13.
Biolchi, Alessia, Fabio Rigat, Jay Lucidarme, et al.. (2013). Bactericidal antibody against a representative epidemiological meningococcal serogroup B panel confirms that MATS underestimates 4CMenB vaccine strain coverage. Vaccine. 31(43). 4968–4974. 120 indexed citations
14.
Snape, Matthew D., Duccio Medini, Scott A. Halperin, et al.. (2012). The challenge of post-implementation surveillance for novel meningococcal vaccines. Vaccine. 30. B67–B72. 23 indexed citations
15.
Tettelin, Hervé, David R. Riley, Ciro Cattuto, & Duccio Medini. (2008). Comparative genomics: the bacterial pan-genome. Current Opinion in Microbiology. 11(5). 472–477. 733 indexed citations breakdown →
16.
Medini, Duccio, Davide Serruto, Julian Parkhill, et al.. (2008). Microbiology in the post-genomic era. Nature Reviews Microbiology. 6(6). 419–430. 228 indexed citations
17.
Mora, Marirosa, Claudio Donati, Duccio Medini, Antonello Covacci, & Rino Rappuoli. (2006). Microbial genomes and vaccine design: refinements to the classical reverse vaccinology approach. Current Opinion in Microbiology. 9(5). 532–536. 68 indexed citations
18.
Tettelin, Hervé, Duccio Medini, Claudio Donati, & Vega Masignani. (2006). Towards a universal group BStreptococcusvaccine using multistrain genome analysis. Expert Review of Vaccines. 5(5). 687–694. 19 indexed citations
19.
Medini, Duccio, Antonello Covacci, & Claudio Donati. (2006). Protein Homology Network Families Reveal Step-Wise Diversification of Type III and Type IV Secretion Systems. PLoS Computational Biology. 2(12). e173–e173. 37 indexed citations
20.
Medini, Duccio, Claudio Donati, Hervé Tettelin, Vega Masignani, & Rino Rappuoli. (2005). The microbial pan-genome. Current Opinion in Genetics & Development. 15(6). 589–594. 878 indexed citations breakdown →

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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