Camila Agnoletti

819 total citations · 1 hit paper
4 papers, 420 citations indexed

About

Camila Agnoletti is a scholar working on Infectious Diseases, Oncology and Neurology. According to data from OpenAlex, Camila Agnoletti has authored 4 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 2 papers in Oncology and 1 paper in Neurology. Recurrent topics in Camila Agnoletti's work include COVID-19 Clinical Research Studies (3 papers), COVID-19 and healthcare impacts (2 papers) and Clinical practice guidelines implementation (1 paper). Camila Agnoletti is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), COVID-19 and healthcare impacts (2 papers) and Clinical practice guidelines implementation (1 paper). Camila Agnoletti collaborates with scholars based in Chile, Argentina and Canada. Camila Agnoletti's co-authors include Gabriel Rada, Farid Foroutan, A Bengolea, Martín Ragusa, Arnav Agarwal, Fernando Tortosa, Federico Espinosa, H Catalano, Verónica Sanguine and Ezequiel Saavedra and has published in prestigious journals such as PLoS ONE, BMJ evidence-based medicine and SSRN Electronic Journal.

In The Last Decade

Camila Agnoletti

3 papers receiving 405 citations

Hit Papers

Prognostic factors for severity and mortality in patients... 2020 2026 2022 2024 2020 100 200 300

Peers

Camila Agnoletti
A Bengolea Argentina
Martín Ragusa Argentina
Char Leung Australia
Stella Safo United States
Camila Agnoletti
Citations per year, relative to Camila Agnoletti Camila Agnoletti (= 1×) peers Ezequiel Saavedra

Countries citing papers authored by Camila Agnoletti

Since Specialization
Citations

This map shows the geographic impact of Camila Agnoletti'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 Camila Agnoletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Camila Agnoletti more than expected).

Fields of papers citing papers by Camila Agnoletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Camila Agnoletti. 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 Camila Agnoletti. The network helps show where Camila Agnoletti may publish in the future.

Co-authorship network of co-authors of Camila Agnoletti

This figure shows the co-authorship network connecting the top 25 collaborators of Camila Agnoletti. A scholar is included among the top collaborators of Camila Agnoletti 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 Camila Agnoletti. Camila Agnoletti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Neumann, Ignacio, Ariel Izcovich, A Bengolea, et al.. (2025). Encouraging the use of the best available evidence in journal clubs for practising clinicians. BMJ evidence-based medicine. 30(6). 401–405.
2.
Izcovich, Ariel, Martín Ragusa, Fernando Tortosa, et al.. (2022). Correction: Prognostic factors for severity and mortality in patients infected with COVID-19: A systematic review. PLoS ONE. 17(5). e0269291–e0269291. 5 indexed citations
3.
Izcovich, Ariel, Martín Ragusa, Fernando Tortosa, et al.. (2020). Prognostic factors for severity and mortality in patients infected with COVID-19: A systematic review. PLoS ONE. 15(11). e0241955–e0241955. 396 indexed citations breakdown →
4.
Izcovich, Ariel, Martín Ragusa, Fernando Tortosa, et al.. (2020). Prognostic Factors for Severity and Mortality in Patients Infected with COVID-19: A Systematic Review. SSRN Electronic Journal. 19 indexed citations

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.

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