Pierpaolo Paba
- Co-authors
- Marco CiottiLuigi Di BonitoKarí SyrjänenCartesio FavalliA. BenedettoCarlo Federico PernoColomba GiorgiDonatella Santini
- Topics
- Cervical Cancer and HPV Research (11 papers)Polyomavirus and related diseases (5 papers)Endometrial and Cervical Cancer Treatments (4 papers)
- Cited by
- EpidemiologyMicrobiologyVirology
In The Last Decade
Pierpaolo Paba
23 papers receiving 507 citations
Peers
Comparison fields: 5 of 66
- Epidemiology 308
- Oncology 156
- Molecular Biology 125
- Infectious Diseases 83
- Surgery 82
Countries citing papers authored by Pierpaolo Paba
This map shows the geographic impact of Pierpaolo Paba'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 Pierpaolo Paba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierpaolo Paba more than expected).
Fields of papers citing papers by Pierpaolo Paba
This network shows the impact of papers produced by Pierpaolo Paba. 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 Pierpaolo Paba. The network helps show where Pierpaolo Paba may publish in the future.
Co-authorship network of co-authors of Pierpaolo Paba
This figure shows the co-authorship network connecting the top 25 collaborators of Pierpaolo Paba. A scholar is included among the top collaborators of Pierpaolo Paba 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 Pierpaolo Paba. Pierpaolo Paba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 9 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | Screening of respiratory pathogens by Respiratory Multi Well System (MWS) r-gene™ assay in hospitalized patients. | 5 |
| 6 | 12 | |
| 7 | Human papillomavirus molecular testing in women with low grade cervical lesions: experience from an Italian hospital. | 8 |
| 8 | 18 | |
| 9 | 11 | |
| 10 | 12 | |
| 11 | 61 | |
| 12 | 60 | |
| 13 | 17 | |
| 14 | 24 | |
| 15 | Down-regulation of E-cadherin is closely associated with progression of cervical intraepithelial neoplasia (CIN), but not with high-risk human papillomavirus (HPV) or disease outcome in cervical cancer. | 27 |
| 16 | 41 | |
| 17 | 8 | |
| 18 | 48 | |
| 19 | 16 | |
| 20 | Assessment of risk factors and human papillomavirus (HPV) related pathogenetic mechanisms of CIN in HIV-positive and HIV-negative women. Study design and baseline data of the HPV-PathogenISS study. | 31 |
About Pierpaolo Paba
Pierpaolo Paba is a scholar working on Epidemiology, Obstetrics and Gynecology and Microbiology, having authored 23 papers that have together received 517 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (11 papers), Polyomavirus and related diseases (5 papers) and Endometrial and Cervical Cancer Treatments (4 papers). The work is most often cited by research in Epidemiology (308 citations), Microbiology (47 citations) and Virology (28 citations). Pierpaolo Paba has collaborated with scholars based in Italy, Finland and Armenia. Frequent co-authors include Marco Ciotti, Luigi Di Bonito, Karí Syrjänen, Cartesio Favalli, A. Benedetto, Carlo Federico Perno, Colomba Giorgi, Donatella Santini, Alberto Agarossi and Domenico Ombres. Their work appears in journals such as Journal of Clinical Pathology, American Journal of Clinical Pathology and Biomolecules.
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.