Alejandro Cané
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
- Epidemiology 46
- Pneumonia and Respiratory Infections 32
- Respiratory viral infections research 28
- Influenza Virus Research Studies 10
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- Viral gastroenteritis research and epidemiology 5
- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Daniel Curcio (6 shared papers)F. FERNÁNDEZ (3 shared papers)Raúl Istúriz (4 shared papers)Mary M. Moran (10 shared papers)Manuela Di Fusco (5 shared papers)Verna Welch (5 shared papers)Ashley Enstone (4 shared papers)Bradford D. Gessner (11 shared papers)
- Journals
- Vaccines (6 papers)Vaccine (5 papers)Open Forum Infectious Diseases (5 papers)Infectious Diseases and Therapy (5 papers)Journal of Medical Economics (5 papers)
- Partner nations
- United StatesUnited KingdomArgentina
In The Last Decade
Alejandro Cané
45 papers receiving 680 citations
Peers
Comparison fields: 5 of 76
- Microbiology 118
- Health 121
- Epidemiology 427
- Infectious Diseases 213
- Modeling and Simulation 43
Countries citing papers authored by Alejandro Cané
This map shows the geographic impact of Alejandro Cané'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 Alejandro Cané with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Cané more than expected).
Fields of papers citing papers by Alejandro Cané
This network shows the impact of papers produced by Alejandro Cané. 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 Alejandro Cané. The network helps show where Alejandro Cané may publish in the future.
Co-authors
The 25 scholars most cited alongside Alejandro Cané, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 53 | |
| 2 | 2023 | 49 | |
| 3 | 2015 | 48 | |
| 4 | 2022 | 47 | |
| 5 | 2023 | 41 | |
| 6 | 2021 | 33 | |
| 7 | 2019 | 32 | |
| 8 | 2021 | 31 | |
| 9 | 2023 | 25 | |
| 10 | 2010 | 24 | |
| 11 | 2023 | 21 | |
| 12 | 2019 | 20 | |
| 13 | 2008 | 20 | |
| 14 | 2022 | 20 | |
| 15 | 2019 | 19 | |
| 16 | 2010 | 18 | |
| 17 | 2021 | 18 | |
| 18 | 2022 | 16 | |
| 19 | 2022 | 13 | |
| 20 | 2011 | 13 |
About Alejandro Cané
Alejandro Cané is a scholar working on Epidemiology, Infectious Diseases, Microbiology, Health and Surgery, having authored 56 papers that have together received 688 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (32 papers), Respiratory viral infections research (28 papers), Bacterial Infections and Vaccines (12 papers), Influenza Virus Research Studies (10 papers), Vaccine Coverage and Hesitancy (9 papers), Child and Adolescent Health (7 papers), Viral gastroenteritis research and epidemiology (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Microbiology (118 citations), Health (121 citations), Epidemiology (427 citations), Infectious Diseases (213 citations) and Modeling and Simulation (43 citations). Alejandro Cané has collaborated with scholars based in United States, United Kingdom and Argentina. Frequent co-authors include Daniel Curcio, F. FERNÁNDEZ, Raúl Istúriz, Mary M. Moran, Manuela Di Fusco, Verna Welch, Ashley Enstone, Bradford D. Gessner, Amit Srivastava and Jennifer L. Nguyen. Their work appears in journals such as Vaccines, Vaccine, Open Forum Infectious Diseases, Infectious Diseases and Therapy and Journal of Medical Economics.
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.