Daniela Silva‐Ayala
Impact in
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- Viral gastroenteritis research and epidemiology 8
- SARS-CoV-2 and COVID-19 Research 1
-
- Viral Infections and Immunology Research 4
- Co-authors
- Susana López (10 shared papers)Carlos F. Arias (7 shared papers)Carlos F. Arias (3 shared papers)Tomás López (3 shared papers)Norbert Perrimon (1 shared paper)Jesús Torres-Flores (1 shared paper)Marco A. Espinoza (1 shared paper)Catherine Eichwald (2 shared papers)
- Journals
- Journal of Virology (5 papers)Virology (1 paper)Nano Letters (1 paper)Small (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- MexicoUnited StatesSwitzerland
In The Last Decade
Daniela Silva‐Ayala
12 papers receiving 393 citations
Peers
Comparison fields: 5 of 64
- Infectious Diseases 230
- Animal Science and Zoology 103
- Cardiology and Cardiovascular Medicine 93
- Genetics 96
- Epidemiology 91
Countries citing papers authored by Daniela Silva‐Ayala
This map shows the geographic impact of Daniela Silva‐Ayala'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 Daniela Silva‐Ayala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Silva‐Ayala more than expected).
Fields of papers citing papers by Daniela Silva‐Ayala
This network shows the impact of papers produced by Daniela Silva‐Ayala. 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 Daniela Silva‐Ayala. The network helps show where Daniela Silva‐Ayala may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Silva‐Ayala, 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 | 2014 | 74 | |
| 2 | 2013 | 69 | |
| 3 | 2011 | 49 | |
| 4 | 2014 | 49 | |
| 5 | 2014 | 45 | |
| 6 | 2023 | 33 | |
| 7 | 2019 | 20 | |
| 8 | 2017 | 18 | |
| 9 | 2019 | 14 | |
| 10 | 2019 | 14 | |
| 11 | 2011 | 8 | |
| 12 | 2024 | 2 |
About Daniela Silva‐Ayala
Daniela Silva‐Ayala is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Genetics, Molecular Biology and Animal Science and Zoology, having authored 12 papers that have together received 395 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (8 papers), Viral Infections and Immunology Research (4 papers), Virus-based gene therapy research (4 papers), Respiratory viral infections research (2 papers), Nanoplatforms for cancer theranostics (2 papers), Animal Virus Infections Studies (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Infectious Diseases (230 citations), Animal Science and Zoology (103 citations), Cardiology and Cardiovascular Medicine (93 citations), Genetics (96 citations) and Epidemiology (91 citations). Daniela Silva‐Ayala has collaborated with scholars based in Mexico, United States and Switzerland. Frequent co-authors include Susana López, Carlos F. Arias, Carlos F. Arias, Tomás López, Norbert Perrimon, Jesús Torres-Flores, Marco A. Espinoza, Catherine Eichwald, Elisabeth M. Schraner and Ronnie H. Fang. Their work appears in journals such as Journal of Virology, Virology, Nano Letters, Small and Proceedings of the National Academy of Sciences.
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.