Gabriella Parisi
- Molecular Medicine top 1%
- Epidemiology
- Clinical Biochemistry top 2%
- Infectious Diseases top 10%
- Pharmacology top 10%
- Co-authors
- Nicola PetrosilloAlessandra CarattoliAlessandro CaponeTeresa SpanuD. FortiniM. TronciMarcello MeledandriMaddalena Giannella
- Topics
- Antibiotic Resistance in Bacteria (5 papers)Bacterial Identification and Susceptibility Testing (5 papers)Antifungal resistance and susceptibility (4 papers)
In The Last Decade
Gabriella Parisi
22 papers receiving 647 citations
Peers
Comparison fields: 5 of 69
- Molecular Medicine 321
- Epidemiology 245
- Clinical Biochemistry 215
- Infectious Diseases 212
- Pharmacology 132
Countries citing papers authored by Gabriella Parisi
This map shows the geographic impact of Gabriella Parisi'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 Gabriella Parisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriella Parisi more than expected).
Fields of papers citing papers by Gabriella Parisi
This network shows the impact of papers produced by Gabriella Parisi. 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 Gabriella Parisi. The network helps show where Gabriella Parisi may publish in the future.
Co-authorship network of co-authors of Gabriella Parisi
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Parisi. A scholar is included among the top collaborators of Gabriella Parisi 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 Gabriella Parisi. Gabriella Parisi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 7 | |
| 6 | 23 | |
| 7 | 1 | |
| 8 | 27 | |
| 9 | 2 | |
| 10 | 26 | |
| 11 | 260 | |
| 12 | 167 | |
| 13 | 13 | |
| 14 | 37 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | [Transient pseudohypoaldosteronism secondary to congenital malformation pathology of the urinary tract (valves of the posterior urethra): a report of a case with elements of a physiopathological nature]. | 5 |
| 18 | [A case report of reversible biliary pseudolithiasis caused by ceftriaxone in childhood: does the problem deserve greater attention?]. | 3 |
| 19 | [Freeman-Sheldon syndrome. Case contribution and review of the literature]. | 3 |
| 20 | 19 |
About Gabriella Parisi
Gabriella Parisi is a scholar working on Molecular Medicine, Clinical Biochemistry and Endocrinology, having authored 22 papers that have together received 655 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Antifungal resistance and susceptibility (4 papers). The work is most often cited by research in Molecular Medicine (321 citations), Applied Microbiology and Biotechnology (109 citations) and Clinical Biochemistry (215 citations). Gabriella Parisi has collaborated with scholars based in Italy, Lebanon and Brazil. Frequent co-authors include Nicola Petrosillo, Alessandra Carattoli, Alessandro Capone, Teresa Spanu, D. Fortini, M. Tronci, Marcello Meledandri, Maddalena Giannella, Maria Pia Balice and Donna Capozzi. Their work appears in journals such as The Lancet, Journal of Clinical Microbiology and The Journal of Infectious Diseases.
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.