Diana Finzi
- Virology top 0.02%
- Infectious Diseases top 0.1%
- Immunology top 0.5%
- Epidemiology top 2%
- Molecular Biology top 5%
- Co-authors
- Robert F. SilicianoKaren ChadwickThomas C. QuinnJoseph B. MargolickTheodore C. PiersonMonika HermankovaRonald BrookmeyerLucy M. Carruth
- Topics
- HIV Research and Treatment (14 papers)HIV/AIDS Research and Interventions (8 papers)HIV/AIDS drug development and treatment (7 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Diana Finzi
18 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Virology 7.9k
- Infectious Diseases 5.4k
- Immunology 3.1k
- Epidemiology 1.4k
- Molecular Biology 1.3k
Countries citing papers authored by Diana Finzi
This map shows the geographic impact of Diana Finzi'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 Diana Finzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Finzi more than expected).
Fields of papers citing papers by Diana Finzi
This network shows the impact of papers produced by Diana Finzi. 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 Diana Finzi. The network helps show where Diana Finzi may publish in the future.
Co-authorship network of co-authors of Diana Finzi
This figure shows the co-authorship network connecting the top 25 collaborators of Diana Finzi. A scholar is included among the top collaborators of Diana Finzi 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 Diana Finzi. Diana Finzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 34 | |
| 3 | 29 | |
| 4 | 3 | |
| 5 | 425 | |
| 6 | Long-term follow-up studies confirm the stability of the latent reservoir for HIV-1 in resting CD4+ T cellsbreakdown → | 1283 |
| 7 | 140 | |
| 8 | 120 | |
| 9 | 169 | |
| 10 | 121 | |
| 11 | Latent infection of CD4+ T cells provides a mechanism for lifelong persistence of HIV-1, even in patients on effective combination therapybreakdown → | 1638 |
| 12 | 74 | |
| 13 | 206 | |
| 14 | Quantification of latent tissue reservoirs and total body viral load in HIV-1 infectionbreakdown → | 1611 |
| 15 | Identification of a Reservoir for HIV-1 in Patients on Highly Active Antiretroviral Therapybreakdown → | 2367 |
| 16 | In vivo fate of HIV-1-infected T cells: Quantitative analysis of the transition to stable latencybreakdown → | 613 |
| 17 | 37 | |
| 18 | 9 |
About Diana Finzi
Diana Finzi is a scholar working on Virology, Infectious Diseases and Immunology, having authored 18 papers that have together received 8.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (14 papers), HIV/AIDS Research and Interventions (8 papers) and HIV/AIDS drug development and treatment (7 papers). The work is most often cited by research in Virology (7.9k citations), Infectious Diseases (5.4k citations) and Immunology (3.1k citations). Diana Finzi has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Robert F. Siliciano, Karen Chadwick, Thomas C. Quinn, Joseph B. Margolick, Theodore C. Pierson, Monika Hermankova, Ronald Brookmeyer, Lucy M. Carruth, Richard E. Chaisson and Joel E. Gallant. Their work appears in journals such as Nature, Science and Cell.
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.