Martín Ragusa
- Infectious Diseases top 5%
- Neurology top 10%
- Oncology
- Epidemiology
- Clinical Psychology
- Co-authors
- Ariel IzcovichGabriel RadaFernando TortosaA BengoleaVerónica SanguineFarid ForoutanArnav AgarwalH Catalano
- Topics
- COVID-19 Clinical Research Studies (8 papers)Meta-analysis and systematic reviews (4 papers)Health Sciences Research and Education (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Infectious Diseases
- Partner nations
- ArgentinaChileUnited States
In The Last Decade
Martín Ragusa
17 papers receiving 558 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Infectious Diseases 389
- Neurology 168
- Oncology 142
- Epidemiology 110
- Clinical Psychology 58
Countries citing papers authored by Martín Ragusa
This map shows the geographic impact of Martín Ragusa'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 Martín Ragusa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martín Ragusa more than expected).
Fields of papers citing papers by Martín Ragusa
This network shows the impact of papers produced by Martín Ragusa. 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 Martín Ragusa. The network helps show where Martín Ragusa may publish in the future.
Co-authorship network of co-authors of Martín Ragusa
This figure shows the co-authorship network connecting the top 25 collaborators of Martín Ragusa. A scholar is included among the top collaborators of Martín Ragusa 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 Martín Ragusa. Martín Ragusa 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 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 21 | |
| 6 | 5 | |
| 7 | 17 | |
| 8 | 5 | |
| 9 | 20 | |
| 10 | 1 | |
| 11 | 38 | |
| 12 | Prognostic factors for severity and mortality in patients infected with COVID-19: A systematic reviewbreakdown → | 396 |
| 13 | 3 | |
| 14 | 19 | |
| 15 | 1 | |
| 16 | 36 | |
| 17 | 2 | |
| 18 | [Importance of pharmacovigilance in current medical practice]. | 4 |
| 19 | [Picotamide: use in chronic obliterative arteriopathies of the lower limbs]. | 1 |
About Martín Ragusa
Martín Ragusa is a scholar working on Infectious Diseases, Statistics, Probability and Uncertainty and Applied Microbiology and Biotechnology, having authored 19 papers that have together received 575 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Meta-analysis and systematic reviews (4 papers) and Health Sciences Research and Education (3 papers). The work is most often cited by research in Infectious Diseases (389 citations), Neurology (168 citations) and Critical Care and Intensive Care Medicine (35 citations). Martín Ragusa has collaborated with scholars based in Argentina, Chile and United States. Frequent co-authors include Ariel Izcovich, Gabriel Rada, Fernando Tortosa, A Bengolea, Verónica Sanguine, Farid Foroutan, Arnav Agarwal, H Catalano, Federico Espinosa and Ezequiel Saavedra. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Infectious 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.