Nathalia Ballesteros
- Epidemiology
- Infectious Diseases top 10%
- Molecular Biology
- Virology top 5%
- Public Health, Environmental and Occupational Health
- Co-authors
- Juan David RamírezMarina MuñozAlberto Paniz‐MondolfiLuz Helena PatiñoSergio CastañedaNicolás LunaAngie RamírezD. Katterine Bonilla‐Aldana
- Topics
- SARS-CoV-2 and COVID-19 Research (16 papers)Trypanosoma species research and implications (9 papers)SARS-CoV-2 detection and testing (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsPLoS neglected tropical diseases
- Partner nations
- ColombiaUnited StatesVenezuela
In The Last Decade
Nathalia Ballesteros
29 papers receiving 297 citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Epidemiology 133
- Infectious Diseases 131
- Molecular Biology 130
- Virology 127
- Public Health, Environmental and Occupational Health 38
Countries citing papers authored by Nathalia Ballesteros
This map shows the geographic impact of Nathalia Ballesteros'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 Nathalia Ballesteros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathalia Ballesteros more than expected).
Fields of papers citing papers by Nathalia Ballesteros
This network shows the impact of papers produced by Nathalia Ballesteros. 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 Nathalia Ballesteros. The network helps show where Nathalia Ballesteros may publish in the future.
Co-authorship network of co-authors of Nathalia Ballesteros
This figure shows the co-authorship network connecting the top 25 collaborators of Nathalia Ballesteros. A scholar is included among the top collaborators of Nathalia Ballesteros 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 Nathalia Ballesteros. Nathalia Ballesteros is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | Phylogenomic analysis of the monkeypox virus (MPXV) 2022 outbreak: Emergence of a novel viral lineage?breakdown → | 131 |
| 17 | 8 | |
| 18 | 10 | |
| 19 | 12 | |
| 20 | 3 |
About Nathalia Ballesteros
Nathalia Ballesteros is a scholar working on Infectious Diseases, Modeling and Simulation and Insect Science, having authored 31 papers that have together received 302 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (16 papers), Trypanosoma species research and implications (9 papers) and SARS-CoV-2 detection and testing (8 papers). The work is most often cited by research in Virology (127 citations), Infectious Diseases (131 citations) and Modeling and Simulation (20 citations). Nathalia Ballesteros has collaborated with scholars based in Colombia, United States and Venezuela. Frequent co-authors include Juan David Ramírez, Marina Muñoz, Alberto Paniz‐Mondolfi, Luz Helena Patiño, Sergio Castañeda, Nicolás Luna, Angie Ramírez, D. Katterine Bonilla‐Aldana, Carolina Hernández and Lissa Cruz‐Saavedra. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and PLoS neglected tropical diseases.
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.