Gustavo Cantoni

37 total papers · 561 total citations
21 papers, 431 citations indexed

About

Gustavo Cantoni is a scholar working on Pathology and Forensic Medicine, Infectious Diseases and Global and Planetary Change. According to data from OpenAlex, Gustavo Cantoni has authored 21 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pathology and Forensic Medicine, 10 papers in Infectious Diseases and 7 papers in Global and Planetary Change. Recurrent topics in Gustavo Cantoni's work include Parasitic infections in humans and animals (11 papers), Viral Infections and Vectors (7 papers) and Fire effects on ecosystems (7 papers). Gustavo Cantoni is often cited by papers focused on Parasitic infections in humans and animals (11 papers), Viral Infections and Vectors (7 papers) and Fire effects on ecosystems (7 papers). Gustavo Cantoni collaborates with scholars based in Argentina, United States and Spain. Gustavo Cantoni's co-authors include Edmundo Larrieu, Eduardo Herrero, Juan Carlos Salvitti, James N. Mills, Noemí Pini, José Luis Labanchi, Bernardo Frider, Delia Enría, Paula Padula and Mario Del Carpio and has published in prestigious journals such as Emerging infectious diseases, Canadian Journal of Zoology and Veterinary Parasitology.

In The Last Decade

Gustavo Cantoni

21 papers receiving 401 citations

Author Peers

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

Author Last Decade Papers Cites
Gustavo Cantoni 224 204 171 139 116 21 431
Ortwin Aschenborn 72 0.3× 109 0.5× 97 0.6× 69 0.5× 124 1.1× 27 435
Anna Rita Di Cerbo 48 0.2× 190 0.9× 125 0.7× 30 0.2× 234 2.0× 26 471
Robert Rausch 67 0.3× 186 0.9× 61 0.4× 31 0.2× 116 1.0× 15 490
Ιlias Chaligiannis 200 0.9× 61 0.3× 50 0.3× 78 0.6× 192 1.7× 22 424
Manuel Sánchez Moreno 96 0.4× 123 0.6× 48 0.3× 22 0.2× 286 2.5× 19 391
Maciej Kochanowski 56 0.3× 140 0.7× 80 0.5× 23 0.2× 252 2.2× 41 461
D. D. Joshi 73 0.3× 191 0.9× 152 0.9× 16 0.1× 152 1.3× 25 378
Carmen Fuentealba 61 0.3× 146 0.7× 110 0.6× 9 0.1× 120 1.0× 36 490
Manon Simard 60 0.3× 64 0.3× 18 0.1× 27 0.2× 181 1.6× 21 409
Trevor T. Zachariah 117 0.5× 51 0.3× 10 0.1× 71 0.5× 58 0.5× 28 431

Countries citing papers authored by Gustavo Cantoni

Since Specialization
Citations

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

Fields of papers citing papers by Gustavo Cantoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gustavo Cantoni

This figure shows the co-authorship network connecting the top 25 collaborators of Gustavo Cantoni. A scholar is included among the top collaborators of Gustavo Cantoni 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 Gustavo Cantoni. Gustavo Cantoni 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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