Mariacarmela Solmone
- Epidemiology top 10%
- Hepatology top 2%
- Infectious Diseases top 10%
- Virology top 5%
- Immunology
- Co-authors
- Maria Rosaria CapobianchiGiuseppe IppolitoDonatella VincentiMattia ProsperiAlessandro BrusellesEnrico GirardiIsabella AbbateUbaldo Visco‐Comandini
- Topics
- Hepatitis C virus research (20 papers)Hepatitis B Virus Studies (16 papers)HIV Research and Treatment (9 papers)
- Cited by
- HepatologyVirologyEpidemiology
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Mariacarmela Solmone
30 papers receiving 542 citations
Peers
Comparison fields: 5 of 59
- Epidemiology 398
- Hepatology 364
- Infectious Diseases 165
- Virology 99
- Immunology 54
Countries citing papers authored by Mariacarmela Solmone
This map shows the geographic impact of Mariacarmela Solmone'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 Mariacarmela Solmone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariacarmela Solmone more than expected).
Fields of papers citing papers by Mariacarmela Solmone
This network shows the impact of papers produced by Mariacarmela Solmone. 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 Mariacarmela Solmone. The network helps show where Mariacarmela Solmone may publish in the future.
Co-authorship network of co-authors of Mariacarmela Solmone
This figure shows the co-authorship network connecting the top 25 collaborators of Mariacarmela Solmone. A scholar is included among the top collaborators of Mariacarmela Solmone 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 Mariacarmela Solmone. Mariacarmela Solmone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 17 | |
| 4 | 9 | |
| 5 | 16 | |
| 6 | 17 | |
| 7 | 42 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 13 | |
| 11 | 14 | |
| 12 | 42 | |
| 13 | Heterogeneity of HVR-1 quasispecies is predictive of early but not sustained virological response in genotype 1b-infected patients undergoing combined treatment with PEG- or STD-IFN plus RBV. | 5 |
| 14 | 7 | |
| 15 | 37 | |
| 16 | 6 | |
| 17 | 58 | |
| 18 | Significant reduction in HIV-1 plasma viral load but not in proviral infected cells during sub-optimal antiretroviral therapy. | 4 |
| 19 | 5 | |
| 20 | 1 |
About Mariacarmela Solmone
Mariacarmela Solmone is a scholar working on Hepatology, Virology and Epidemiology, having authored 31 papers that have together received 563 indexed citations. Recurring topics across this work include Hepatitis C virus research (20 papers), Hepatitis B Virus Studies (16 papers) and HIV Research and Treatment (9 papers). The work is most often cited by research in Hepatology (364 citations), Virology (99 citations) and Epidemiology (398 citations). Mariacarmela Solmone has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Maria Rosaria Capobianchi, Giuseppe Ippolito, Donatella Vincenti, Mattia Prosperi, Alessandro Bruselles, Enrico Girardi, Isabella Abbate, Ubaldo Visco‐Comandini, Nicola Petrosillo and Emanuele Nicastri. Their work appears in journals such as Blood, PLoS ONE 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.