Martín Ragusa

40 total papers · 1.1k total citations
18 papers, 570 citations indexed

About

Martín Ragusa is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Neurology. According to data from OpenAlex, Martín Ragusa has authored 18 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Neurology. Recurrent topics in Martín Ragusa's work include COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (3 papers) and Health Sciences Research and Education (3 papers). Martín Ragusa is often cited by papers focused on COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (3 papers) and Health Sciences Research and Education (3 papers). Martín Ragusa collaborates with scholars based in Argentina, Chile and Canada. Martín Ragusa's co-authors include Ariel Izcovich, Gabriel Rada, Fernando Tortosa, Farid Foroutan, Camila Agnoletti, Ezequiel Saavedra, Verónica Sanguine, H Catalano, A Bengolea and Arnav Agarwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Infectious Diseases.

In The Last Decade

Martín Ragusa

17 papers receiving 553 citations

Hit Papers

Prognostic factors for se... 2020 2026 2022 2024 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martín Ragusa 387 167 142 108 58 18 570
Fernando Tortosa 315 0.8× 148 0.9× 132 0.9× 101 0.9× 53 0.9× 14 496
Jie Wei 358 0.9× 192 1.1× 143 1.0× 79 0.7× 58 1.0× 15 626
Su Aung 465 1.2× 204 1.2× 128 0.9× 122 1.1× 61 1.1× 18 698
Paula Underhill 266 0.7× 187 1.1× 120 0.8× 94 0.9× 48 0.8× 25 645
Lanbo Yang 358 0.9× 169 1.0× 114 0.8× 80 0.7× 47 0.8× 12 594
Fajuan Rui 272 0.7× 153 0.9× 93 0.7× 154 1.4× 58 1.0× 22 580
Hongwei Ren 505 1.3× 256 1.5× 149 1.0× 82 0.8× 43 0.7× 14 631
Deep Mehta 474 1.2× 275 1.6× 112 0.8× 121 1.1× 44 0.8× 13 642
Carlos A. Fermín‐Martínez 297 0.8× 138 0.8× 157 1.1× 107 1.0× 95 1.6× 24 622
Christopher Nicholson 378 1.0× 209 1.3× 150 1.1× 74 0.7× 41 0.7× 31 692

Countries citing papers authored by Martín Ragusa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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