Sergio G. Canova

11 total papers · 484 total citations
10 papers, 380 citations indexed

About

Sergio G. Canova is a scholar working on Surgery, Pathology and Forensic Medicine and Parasitology. According to data from OpenAlex, Sergio G. Canova has authored 10 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 9 papers in Pathology and Forensic Medicine and 7 papers in Parasitology. Recurrent topics in Sergio G. Canova's work include Congenital Anomalies and Fetal Surgery (9 papers), Parasitic infections in humans and animals (9 papers) and Parasitic Infections and Diagnostics (7 papers). Sergio G. Canova is often cited by papers focused on Congenital Anomalies and Fetal Surgery (9 papers), Parasitic infections in humans and animals (9 papers) and Parasitic Infections and Diagnostics (7 papers). Sergio G. Canova collaborates with scholars based in Argentina, Australia and Brazil. Sergio G. Canova's co-authors include Mara Cecília Rosenzvit, Eduardo Guarnera, Laura Kamenetzky, Donald P. McManus, Ariana Gutiérrez, Karen Luisa Haag, Alberto Parra, Marta Cabrera, Ariel Naidich and Wenbao Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Parasitology and Infection Genetics and Evolution.

In The Last Decade

Sergio G. Canova

9 papers receiving 368 citations

Author Peers

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

Author						Papers	Cites
Sergio G. Canova	366	315	274	86	24	10	380
T Bernal	329 0.9×	238 0.8×	234 0.9×	109 1.3×	14 0.6×	7	361
Vanessa Andresiuk	368 1.0×	297 0.9×	253 0.9×	115 1.3×	41 1.7×	6	412
Teresa Montenegro	400 1.1×	280 0.9×	257 0.9×	129 1.5×	18 0.8×	8	431
Ibrahim E. Elmahdi	373 1.0×	323 1.0×	213 0.8×	105 1.2×	40 1.7×	5	402
Teivi Laurimäe	367 1.0×	322 1.0×	224 0.8×	107 1.2×	32 1.3×	17	385
Aitziber Benito	315 0.9×	259 0.8×	214 0.8×	47 0.5×	60 2.5×	12	341
Janet A. Fried	366 1.0×	235 0.7×	256 0.9×	110 1.3×	40 1.7×	10	443
Federico Camicia	267 0.7×	176 0.6×	233 0.9×	110 1.3×	41 1.7×	16	371
John Horton	270 0.7×	204 0.6×	130 0.5×	73 0.8×	104 4.3×	5	361
Petra Frosch	287 0.8×	165 0.5×	283 1.0×	62 0.7×	57 2.4×	10	399

Countries citing papers authored by Sergio G. Canova

Since Specialization

Citations

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

Fields of papers citing papers by Sergio G. Canova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergio G. Canova. 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 Sergio G. Canova. The network helps show where Sergio G. Canova may publish in the future.

Co-authorship network of co-authors of Sergio G. Canova

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio G. Canova. A scholar is included among the top collaborators of Sergio G. Canova 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 Sergio G. Canova. Sergio G. Canova 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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