Laura Galli
- Infectious Diseases top 1%
- Epidemiology top 2%
- Virology top 0.5%
- Oncology top 5%
- Surgery top 5%
- Co-authors
- Adriano LazzarinAntonella CastagnaNicola GianottiAntonio E. PontiroliKarl C. PodratzArmando D’AngeloMaurice J. WebbAndrea Mariani
- Topics
- HIV Research and Treatment (96 papers)HIV/AIDS drug development and treatment (92 papers)HIV/AIDS Research and Interventions (57 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Laura Galli
284 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 152
- Infectious Diseases 1.3k
- Epidemiology 1.1k
- Virology 948
- Oncology 736
- Surgery 588
Countries citing papers authored by Laura Galli
This map shows the geographic impact of Laura Galli'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 Laura Galli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Galli more than expected).
Fields of papers citing papers by Laura Galli
This network shows the impact of papers produced by Laura Galli. 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 Laura Galli. The network helps show where Laura Galli may publish in the future.
Co-authorship network of co-authors of Laura Galli
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Galli. A scholar is included among the top collaborators of Laura Galli 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 Laura Galli. Laura Galli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 6 | |
| 13 | Glomerular filtration rate estimated by cystatin C formulas in HIV-1 patients treated with dolutegravir, rilpivirine or cobicistat. | 9 |
| 14 | 37 | |
| 15 | Rate of cirrhosis progression reduced in HIV/HCV co-infected non-responders to anti-HCV therapy. | 6 |
| 16 | 15 | |
| 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 | Psoriatic arthritis in British and Italian patients: a comparative clinical, radiologic, and scintigraphic study. | 5 |
| 19 | The preservation of the ocular surface during chronic administration of hypotensive eye drops | 1 |
| 20 | 65 |
About Laura Galli
Laura Galli is a scholar working on Virology, Infectious Diseases and Emergency Medicine, having authored 298 papers that have together received 5.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (96 papers), HIV/AIDS drug development and treatment (92 papers) and HIV/AIDS Research and Interventions (57 papers). The work is most often cited by research in Virology (948 citations), Infectious Diseases (1.3k citations) and Emergency Medicine (508 citations). Laura Galli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Adriano Lazzarin, Antonella Castagna, Nicola Gianotti, Antonio E. Pontiroli, Karl C. Podratz, Armando D’Angelo, Maurice J. Webb, Andrea Mariani, Ferruccio Fazio and Paolo Rama. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and NeuroImage.
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.