Elisabetta Loggi
- Epidemiology top 2%
- Hepatology top 0.5%
- Immunology top 5%
- Infectious Diseases top 10%
- Molecular Biology
- Co-authors
- Pietro AndreonéMauro BernardiCarlo FerrariCarmela CursaroPaola FisicaroGabriele MissaleFlorian BihlAnnagiulia Gramenzi
- Topics
- Hepatitis C virus research (40 papers)Hepatitis B Virus Studies (36 papers)Liver Disease Diagnosis and Treatment (32 papers)
- Cited by
- HepatologyEpidemiologyImmunology
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Elisabetta Loggi
57 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 89
- Epidemiology 1.3k
- Hepatology 1.1k
- Immunology 474
- Infectious Diseases 200
- Molecular Biology 150
Countries citing papers authored by Elisabetta Loggi
This map shows the geographic impact of Elisabetta Loggi'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 Elisabetta Loggi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabetta Loggi more than expected).
Fields of papers citing papers by Elisabetta Loggi
This network shows the impact of papers produced by Elisabetta Loggi. 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 Elisabetta Loggi. The network helps show where Elisabetta Loggi may publish in the future.
Co-authorship network of co-authors of Elisabetta Loggi
This figure shows the co-authorship network connecting the top 25 collaborators of Elisabetta Loggi. A scholar is included among the top collaborators of Elisabetta Loggi 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 Elisabetta Loggi. Elisabetta Loggi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 19 | |
| 3 | 18 | |
| 4 | 6 | |
| 5 | 21 | |
| 6 | 15 | |
| 7 | 101 | |
| 8 | 189 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 395 | |
| 14 | 40 | |
| 15 | 150 | |
| 16 | 4 | |
| 17 | Genetic heterogeneity of hepatitis C virus (HCV) in clinical strains of HIV positive and HIV negative patients chronically infected with HCV genotype 3a. | 9 |
| 18 | Sequence analysis of NS3 protease gene in clinical strains of hepatitis C virus. | 10 |
| 19 | 16 | |
| 20 | 12 |
About Elisabetta Loggi
Elisabetta Loggi is a scholar working on Hepatology, Epidemiology and Infectious Diseases, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (40 papers), Hepatitis B Virus Studies (36 papers) and Liver Disease Diagnosis and Treatment (32 papers). The work is most often cited by research in Hepatology (1.1k citations), Epidemiology (1.3k citations) and Immunology (474 citations). Elisabetta Loggi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Pietro Andreoné, Mauro Bernardi, Carlo Ferrari, Carmela Cursaro, Paola Fisicaro, Gabriele Missale, Florian Bihl, Annagiulia Gramenzi, Marco Massari and Caterina Valdatta. Their work appears in journals such as Gastroenterology, PLoS ONE and Journal of 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.