Natalia Laufer
- Virology top 2%
- HIV Research and Treatment 32
- Hepatology top 5%
- Hepatitis C virus research 27
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment 12
- HIV/AIDS Research and Interventions 6
- Immunology top 10%
- Immune Cell Function and Interaction 16
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment 11
- Hepatitis B Virus Studies 11
- Cytomegalovirus and herpesvirus research 7
- Co-authors
- Horacio SalomónPedro CahnGabriela TurkJorge QuarleriOmar SuedMaría Magdalena GherardiYanina GhiglioneHector Pérez
- Journals
- SHILAP Revista de lepidopterología (1 paper)Annals of Internal Medicine (1 paper)PLoS ONE (3 papers)
- Partner nations
- ArgentinaUnited StatesAustralia
In The Last Decade
Natalia Laufer
58 papers receiving 740 citations
Peers
Comparison fields: 5 of 81
- Virology 344
- Hepatology 208
- Infectious Diseases 233
- Immunology 260
- Epidemiology 299
Countries citing papers authored by Natalia Laufer
This map shows the geographic impact of Natalia Laufer'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 Natalia Laufer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Laufer more than expected).
Fields of papers citing papers by Natalia Laufer
This network shows the impact of papers produced by Natalia Laufer. 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 Natalia Laufer. The network helps show where Natalia Laufer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Natalia Laufer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 9 | |
| 9 | 2018 | 12 | |
| 10 | 2016 | 4 | |
| 11 | 2014 | 1 | |
| 12 | 2013 | 1 | |
| 13 | 2012 | 11 | |
| 14 | 2012 | 14 | |
| 15 | 2010 | 1 | |
| 16 | 2009 | 18 | |
| 17 | 2009 | 6 | |
| 18 | Abacavir does not influence the rate of virological response in HIV-HCV-coinfected patients treated with pegylated interferon and weight-adjusted ribavirin. | 2008 | 24 |
| 19 | 2007 | 34 | |
| 20 | HCV genotype distribution among HIV co-infected individuals in Argentina: relationship with host and viral factors. | 1993 | 16 |
About Natalia Laufer
Natalia Laufer is a scholar working on Virology, Hepatology and Infectious Diseases, having authored 61 papers that have together received 757 indexed citations. Recurring topics across this work include HIV Research and Treatment (32 papers), Hepatitis C virus research (27 papers), Immune Cell Function and Interaction (16 papers), HIV/AIDS drug development and treatment (12 papers), Liver Disease Diagnosis and Treatment (11 papers), Hepatitis B Virus Studies (11 papers), Cytomegalovirus and herpesvirus research (7 papers) and HIV/AIDS Research and Interventions (6 papers). The work is most often cited by research in Virology (344 citations), Hepatology (208 citations) and Infectious Diseases (233 citations). Natalia Laufer has collaborated with scholars based in Argentina, United States and Australia. Frequent co-authors include Horacio Salomón, Pedro Cahn, Gabriela Turk, Jorge Quarleri, Omar Sued, María Magdalena Gherardi, Yanina Ghiglione, Hector Pérez, M. Eugenia Socías and Juliana Falivene. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and PLoS ONE.
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.