Federico Armando
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 3
-
- Veterinary Oncology Research 10
- Neonatal Respiratory Health Research 2
- Co-authors
- Wolfgang Baumgärtner (22 shared papers)Małgorzata Ciurkiewicz (11 shared papers)Attilio Corradi (9 shared papers)Georg Beythien (6 shared papers)Lisa Allnoch (3 shared papers)Anna Maria Cantoni (3 shared papers)Gülşah Gabriel (6 shared papers)Maren von Köckritz‐Blickwede (7 shared papers)
In The Last Decade
Federico Armando
32 papers receiving 355 citations
Peers
Comparison fields: 5 of 65
- Infectious Diseases 128
- Animal Science and Zoology 47
- Sensory Systems 15
- Pulmonary and Respiratory Medicine 80
- Neurology 37
Countries citing papers authored by Federico Armando
This map shows the geographic impact of Federico Armando'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 Federico Armando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Armando more than expected).
Fields of papers citing papers by Federico Armando
This network shows the impact of papers produced by Federico Armando. 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 Federico Armando. The network helps show where Federico Armando may publish in the future.
Co-authors
The 25 scholars most cited alongside Federico Armando, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 68 | |
| 2 | 2019 | 31 | |
| 3 | 2022 | 27 | |
| 4 | 2023 | 22 | |
| 5 | 2022 | 22 | |
| 6 | 2021 | 17 | |
| 7 | 2022 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2022 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 5 |
About Federico Armando
Federico Armando is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Animal Science and Zoology, Genetics and Oncology, having authored 36 papers that have together received 359 indexed citations. Recurring topics across this work include Veterinary Oncology Research (10 papers), Virus-based gene therapy research (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Animal Virus Infections Studies (6 papers), COVID-19 Clinical Research Studies (4 papers), Cancer Cells and Metastasis (4 papers), SARS-CoV-2 detection and testing (3 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Infectious Diseases (128 citations), Animal Science and Zoology (47 citations), Sensory Systems (15 citations), Pulmonary and Respiratory Medicine (80 citations) and Neurology (37 citations). Federico Armando has collaborated with scholars based in Germany, Italy and Sweden. Frequent co-authors include Wolfgang Baumgärtner, Małgorzata Ciurkiewicz, Attilio Corradi, Georg Beythien, Lisa Allnoch, Anna Maria Cantoni, Gülşah Gabriel, Maren von Köckritz‐Blickwede, Elisabetta Razzuoli and Lorenzo Ressel. Their work appears in journals such as International Journal of Molecular Sciences, Veterinary Pathology, Viruses, Animals and Pathogens.
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.