Floriana Barbera
- Co-authors
- Pier Giulio ConaldiPaolo RadiceFrancesca Romana GratiB. GiorgiAnna RuggeriGiuseppe SimoniElena LesmaGiovanni Porta
- Topics
- BRCA gene mutations in cancer (6 papers)Antibiotic Resistance in Bacteria (5 papers)Liver Disease Diagnosis and Treatment (4 papers)
- Partner nations
- ItalyUnited StatesRussia
In The Last Decade
Floriana Barbera
22 papers receiving 359 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 156
- Genetics 122
- Molecular Medicine 80
- Epidemiology 78
- Cancer Research 60
Countries citing papers authored by Floriana Barbera
This map shows the geographic impact of Floriana Barbera'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 Floriana Barbera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Floriana Barbera more than expected).
Fields of papers citing papers by Floriana Barbera
This network shows the impact of papers produced by Floriana Barbera. 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 Floriana Barbera. The network helps show where Floriana Barbera may publish in the future.
Co-authorship network of co-authors of Floriana Barbera
This figure shows the co-authorship network connecting the top 25 collaborators of Floriana Barbera. A scholar is included among the top collaborators of Floriana Barbera 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 Floriana Barbera. Floriana Barbera 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 | 8 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 33 | |
| 6 | 14 | |
| 7 | 4 | |
| 8 | 24 | |
| 9 | 9 | |
| 10 | 22 | |
| 11 | IL28B polymorphisms of both recipient and donor cooperate to influence IFN treatment response in HCV recurrence after liver transplantation, but IL28B SNPs of the recipient play a major role in IFN-induced blocking of HCV replication. | 0 |
| 12 | 35 | |
| 13 | 20 | |
| 14 | 23 | |
| 15 | 10 | |
| 16 | 36 | |
| 17 | 11 | |
| 18 | 76 | |
| 19 | Increase of homoeologous pairing in hybrids between a ph mutant of T. turgidum L. var. durum and two tetraploid species of Aegilops: Aegilops kotschyi and Ae. cylindrica. | 9 |
| 20 | Use of mutants that affect homoeologous pairing for introducing alien variation in both durum and common wheat. | 2 |
About Floriana Barbera
Floriana Barbera is a scholar working on Molecular Medicine, Hepatology and Endocrinology, having authored 24 papers that have together received 370 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (6 papers), Antibiotic Resistance in Bacteria (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Molecular Medicine (80 citations), Endocrinology (27 citations) and Genetics (122 citations). Floriana Barbera has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Pier Giulio Conaldi, Paolo Radice, Francesca Romana Grati, B. Giorgi, Anna Ruggeri, Giuseppe Simoni, Elena Lesma, Giovanni Porta, Monica Miozzo and Paolo Grossi. Their work appears in journals such as PLoS ONE, Cancer Research and Clinical 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.