Sara Pignatelli
- Epidemiology top 5%
- Parasitology top 5%
- Infectious Diseases top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Molecular Biology
- Co-authors
- Paola Dal MonteMaria Paola LandiniGiada RossiniTiziana LazzarottoMaria Rosaria GattoMichael MachMarcello LanariGiacomo Faldella
- Topics
- Cytomegalovirus and herpesvirus research (20 papers)Herpesvirus Infections and Treatments (17 papers)Toxoplasma gondii Research Studies (8 papers)
In The Last Decade
Sara Pignatelli
27 papers receiving 766 citations
Peers
Comparison fields: 5 of 58
- Epidemiology 665
- Parasitology 180
- Infectious Diseases 149
- Pediatrics, Perinatology and Child Health 132
- Molecular Biology 98
Countries citing papers authored by Sara Pignatelli
This map shows the geographic impact of Sara Pignatelli'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 Sara Pignatelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Pignatelli more than expected).
Fields of papers citing papers by Sara Pignatelli
This network shows the impact of papers produced by Sara Pignatelli. 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 Sara Pignatelli. The network helps show where Sara Pignatelli may publish in the future.
Co-authorship network of co-authors of Sara Pignatelli
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Pignatelli. A scholar is included among the top collaborators of Sara Pignatelli 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 Sara Pignatelli. Sara Pignatelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | [Recent knowledge on the linkage of strain specific genotypes with clinical manifestations of human citomegalovirus disease]. | 3 |
| 5 | 6 | |
| 6 | 34 | |
| 7 | 58 | |
| 8 | Development of a multiplex PCR for the simultaneous amplification and genotyping of glycoprotein N among human cytomegalovirus strains. | 5 |
| 9 | 56 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 19 | |
| 13 | 12 | |
| 14 | 55 | |
| 15 | 121 | |
| 16 | 18 | |
| 17 | 34 | |
| 18 | 8 | |
| 19 | 46 | |
| 20 | 2 |
About Sara Pignatelli
Sara Pignatelli is a scholar working on Parasitology, Epidemiology and Virology, having authored 27 papers that have together received 783 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (20 papers), Herpesvirus Infections and Treatments (17 papers) and Toxoplasma gondii Research Studies (8 papers). The work is most often cited by research in Parasitology (180 citations), Epidemiology (665 citations) and Infectious Diseases (149 citations). Sara Pignatelli has collaborated with scholars based in Italy, Japan and Australia. Frequent co-authors include Paola Dal Monte, Maria Paola Landini, Giada Rossini, Tiziana Lazzarotto, Maria Rosaria Gatto, Michael Mach, Marcello Lanari, Giacomo Faldella, William D. Rawlinson and Daria Camozzi. Their work appears in journals such as Clinical Infectious Diseases, The Journal of Pediatrics and Virology.
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.