Mónica Ríos‐Silva
- Infectious Diseases
- Molecular Biology
- Plant Science
- Epidemiology
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Xóchitl TrujilloMiguel HuertaOliver Mendoza‐CanoEfrén Murillo‐ZamoraBenjamı́n Trujillo-HernándezIrene Díaz‐RevalAlfredo Saavedra‐MolinaJosé Guzmán-Esquivel
- Topics
- COVID-19 Clinical Research Studies (13 papers)SARS-CoV-2 and COVID-19 Research (11 papers)COVID-19 and Mental Health (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Science of The Total Environment
- Partner nations
- MexicoGuatemalaUnited States
In The Last Decade
Mónica Ríos‐Silva
49 papers receiving 385 citations
Peers
Comparison fields: 5 of 93
- Infectious Diseases 99
- Molecular Biology 55
- Plant Science 46
- Epidemiology 45
- Endocrinology, Diabetes and Metabolism 44
Countries citing papers authored by Mónica Ríos‐Silva
This map shows the geographic impact of Mónica Ríos‐Silva'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 Mónica Ríos‐Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mónica Ríos‐Silva more than expected).
Fields of papers citing papers by Mónica Ríos‐Silva
This network shows the impact of papers produced by Mónica Ríos‐Silva. 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 Mónica Ríos‐Silva. The network helps show where Mónica Ríos‐Silva may publish in the future.
Co-authorship network of co-authors of Mónica Ríos‐Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Ríos‐Silva. A scholar is included among the top collaborators of Mónica Ríos‐Silva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mónica Ríos‐Silva. Mónica Ríos‐Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 8 | |
| 18 | 5 | |
| 19 | 3 | |
| 20 | 23 |
About Mónica Ríos‐Silva
Mónica Ríos‐Silva is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Modeling and Simulation, having authored 53 papers that have together received 393 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (13 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and COVID-19 and Mental Health (5 papers). The work is most often cited by research in Modeling and Simulation (27 citations), Applied Microbiology and Biotechnology (11 citations) and Infectious Diseases (99 citations). Mónica Ríos‐Silva has collaborated with scholars based in Mexico, Guatemala and United States. Frequent co-authors include Xóchitl Trujillo, Miguel Huerta, Oliver Mendoza‐Cano, Efrén Murillo‐Zamora, Benjamı́n Trujillo-Hernández, Irene Díaz‐Reval, Alfredo Saavedra‐Molina, José Guzmán-Esquivel, Salvador Villalpando and Humberto Cruzblanca. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.
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.