Roberto Castronari

447 citations
13 papers · 345 · h-index 8

Impact in

Papers in

Roberto Castronari

13 papers receiving 329 citations

Peers

Roberto Castronari
Comparison fields: 5 of 72
  • Microbiology 74
  • Parasitology 48
  • Infectious Diseases 88
  • Epidemiology 144
  • Immunology 68
Replace Manuela Zlamy with:
Manuela Zlamy Austria
Barbara Glanemann United Kingdom
C. Smacchia Italy
Athena McConnell Canada
Dibyadyuti Datta United States
Andrew Teo Australia
Nobuo Nagata Japan
Tobias Brummaier Thailand
Fesih Aktar Türkiye
Juan Diego Mediavilla Spain
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Citations per field
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Citations per year

Countries citing papers authored by Roberto Castronari

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Castronari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roberto Castronari, 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 Roberto Castronari Line = papers co-authored together Roberto Castronari links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202168
2 201766
3 199645
4 200744
5 201137
6 202031
7 200229
8
Molecular sensitivity threshold of wet mount and an immunochromatographic assay evaluated by quantitative real-time PCR for diagnosis of Trichomonas vaginalis infection in a low-risk population of childbearing women.
20169
9 20146
10 19964
11 20233
12 20242
13
Cytomegalovirus infection in pregnant woman, fetus and newborn: evaluation of different diagnostic procedures. 13th European Congress of Clinical Microbiology and Infectious Diseases
20031

About Roberto Castronari

Roberto Castronari is a scholar working on Epidemiology, Infectious Diseases, Immunology, Molecular Biology and Microbiology, having authored 13 papers that have together received 345 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (5 papers), COVID-19 Clinical Research Studies (2 papers), Immune Response and Inflammation (2 papers), Reproductive tract infections research (2 papers), Herpesvirus Infections and Treatments (2 papers), Infection Control and Ventilation (1 paper), HIV Research and Treatment (1 paper) and Bacterial biofilms and quorum sensing (1 paper). The work is most often cited by research in Microbiology (74 citations), Parasitology (48 citations), Infectious Diseases (88 citations), Epidemiology (144 citations) and Immunology (68 citations). Roberto Castronari has collaborated with scholars based in Italy, Switzerland and China. Frequent co-authors include Alessandra Sensini, Antonella Mencacci, Silvia Bozza, Francesco Bistoni, Christian Leli, Stefano Perito, Michela Pascarella, Manuela Puliti, Maria Agnese Latino and Liliana Minelli. Their work appears in journals such as Clinical Microbiology and Infection, Journal of Fungi, Frontiers in Public Health, Journal of Microbiology Immunology and Infection and Cellular Microbiology.

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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