Fernando Argento
Impact in
- Obstetrics and Gynecology top 5%
- COVID-19 Impact on Reproduction
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- Vaccine Coverage and Hesitancy
Papers in
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- COVID-19 Impact on Reproduction 5
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- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Agustín Ciapponi (6 shared papers)Ariel Bardach (7 shared papers)Federico Rodríguez Cairoli (4 shared papers)Mabel B Berrueta (3 shared papers)Agustina Mazzoni (3 shared papers)Xu Xiong (3 shared papers)Pierre M Buekens (3 shared papers)Daniel Comandé (3 shared papers)
- Journals
- Value in Health (3 papers)Vaccine (2 papers)International Journal of Technology Assessment in Health Care (2 papers)Value in Health Regional Issues (2 papers)Infectious Diseases and Therapy (1 paper)
- Partner nations
- ArgentinaUnited StatesUnited Kingdom
In The Last Decade
Fernando Argento
19 papers receiving 248 citations
Peers
Comparison fields: 5 of 34
- Obstetrics and Gynecology 115
- Health 39
- Infectious Diseases 79
- Toxicology 9
- Modeling and Simulation 6
Countries citing papers authored by Fernando Argento
This map shows the geographic impact of Fernando Argento'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 Fernando Argento with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Argento more than expected).
Fields of papers citing papers by Fernando Argento
This network shows the impact of papers produced by Fernando Argento. 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 Fernando Argento. The network helps show where Fernando Argento may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Argento, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 83 | |
| 2 | 2023 | 56 | |
| 3 | 2021 | 44 | |
| 4 | 2024 | 21 | |
| 5 | 2022 | 11 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 7 | |
| 8 | 2023 | 5 | |
| 9 | 2019 | 2 | |
| 10 | 2020 | 2 | |
| 11 | 2021 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 2 | |
| 17 | Parámetros esenciales para utilizar en modelos epidemiológicos de COVID-19 en Argentina: una revisión rápida. | 2021 | 1 |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 0 |
About Fernando Argento
Fernando Argento is a scholar working on Obstetrics and Gynecology, Infectious Diseases, Economics and Econometrics, Modeling and Simulation and Occupational Therapy, having authored 21 papers that have together received 254 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (7 papers), COVID-19 Impact on Reproduction (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Economic and Financial Impacts of Cancer (2 papers), COVID-19 epidemiological studies (2 papers), HER2/EGFR in Cancer Research (1 paper), Pressure Ulcer Prevention and Management (1 paper) and Lung Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Obstetrics and Gynecology (115 citations), Health (39 citations), Infectious Diseases (79 citations), Toxicology (9 citations) and Modeling and Simulation (6 citations). Fernando Argento has collaborated with scholars based in Argentina, United States and United Kingdom. Frequent co-authors include Agustín Ciapponi, Ariel Bardach, Federico Rodríguez Cairoli, Mabel B Berrueta, Agustina Mazzoni, Xu Xiong, Pierre M Buekens, Daniel Comandé, Sabra Zaraa and Natalia V Zamora. Their work appears in journals such as Value in Health, Vaccine, International Journal of Technology Assessment in Health Care, Value in Health Regional Issues and Infectious Diseases and Therapy.
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.