Danilo Álvarez
Impact in
- Virology top 5%
- Rabies epidemiology and control
- Parasitology top 10%
- Vector-borne infectious diseases
Papers in
- Virology 12
- Rabies epidemiology and control 12
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- Viral Infections and Vectors 8
- Co-authors
- David Morán (10 shared papers)Kim A. Lindblade (4 shared papers)Amy T. Gilbert (4 shared papers)Mónica Berger-González (7 shared papers)Maria Morales-Betoulle (2 shared papers)James A. Ellison (3 shared papers)Charles E. Rupprecht (3 shared papers)Sergio Recuenco (3 shared papers)
- Journals
- Scientific Reports (3 papers)American Journal of Tropical Medicine and Hygiene (3 papers)PLoS neglected tropical diseases (2 papers)PLoS ONE (2 papers)One Health (1 paper)
- Partner nations
- GuatemalaUnited StatesSwitzerland
In The Last Decade
Danilo Álvarez
27 papers receiving 431 citations
Peers
Comparison fields: 5 of 71
- Virology 156
- Parasitology 67
- Infectious Diseases 179
- Agronomy and Crop Science 47
- Microbiology 26
Countries citing papers authored by Danilo Álvarez
This map shows the geographic impact of Danilo Álvarez'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 Danilo Álvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Álvarez more than expected).
Fields of papers citing papers by Danilo Álvarez
This network shows the impact of papers produced by Danilo Álvarez. 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 Danilo Álvarez. The network helps show where Danilo Álvarez may publish in the future.
Co-authors
The 25 scholars most cited alongside Danilo Álvarez, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 49 | |
| 2 | 2012 | 44 | |
| 3 | 2016 | 42 | |
| 4 | 2015 | 31 | |
| 5 | 2021 | 30 | |
| 6 | 2015 | 29 | |
| 7 | 2021 | 28 | |
| 8 | 2012 | 23 | |
| 9 | 2015 | 22 | |
| 10 | 2012 | 19 | |
| 11 | 2020 | 19 | |
| 12 | 2014 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 13 | |
| 15 | 2020 | 11 | |
| 16 | 2014 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2016 | 9 | |
| 19 | 2023 | 6 | |
| 20 | 2022 | 3 |
About Danilo Álvarez
Danilo Álvarez is a scholar working on Virology, Infectious Diseases, Epidemiology, Genetics and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 439 indexed citations. Recurring topics across this work include Rabies epidemiology and control (12 papers), Viral Infections and Vectors (8 papers), Human-Animal Interaction Studies (6 papers), Zoonotic diseases and public health (5 papers), Influenza Virus Research Studies (5 papers), Animal Disease Management and Epidemiology (5 papers), Virology and Viral Diseases (3 papers) and Bartonella species infections research (2 papers). The work is most often cited by research in Virology (156 citations), Parasitology (67 citations), Infectious Diseases (179 citations), Agronomy and Crop Science (47 citations) and Microbiology (26 citations). Danilo Álvarez has collaborated with scholars based in Guatemala, United States and Switzerland. Frequent co-authors include David Morán, Kim A. Lindblade, Amy T. Gilbert, Mónica Berger-González, Maria Morales-Betoulle, James A. Ellison, Charles E. Rupprecht, Sergio Recuenco, Salome Dürr and Daniel R. Pérez. Their work appears in journals such as Scientific Reports, American Journal of Tropical Medicine and Hygiene, PLoS neglected tropical diseases, PLoS ONE and One Health.
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.