Juan Corredoira

52 total papers · 1.5k total citations
32 papers, 837 citations indexed

About

Juan Corredoira is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Juan Corredoira has authored 32 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 18 papers in Public Health, Environmental and Occupational Health and 17 papers in Infectious Diseases. Recurrent topics in Juan Corredoira's work include Infective Endocarditis Diagnosis and Management (18 papers), Streptococcal Infections and Treatments (18 papers) and Antimicrobial Resistance in Staphylococcus (9 papers). Juan Corredoira is often cited by papers focused on Infective Endocarditis Diagnosis and Management (18 papers), Streptococcal Infections and Treatments (18 papers) and Antimicrobial Resistance in Staphylococcus (9 papers). Juan Corredoira collaborates with scholars based in Spain, Netherlands and United States. Juan Corredoira's co-authors include Amparo Coira, Marı́a Pilar Alonso, J. Varela, Javier Ariza, Ramón Rabuñal Rey, Román Pallarés, J. Pita, E. Casariego, A. Rodríguez and G Rufı́ and has published in prestigious journals such as Clinical Infectious Diseases, Medicine and Clinical Microbiology and Infection.

In The Last Decade

Juan Corredoira

32 papers receiving 792 citations

Author Peers

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

Author Last Decade Papers Cites
Juan Corredoira 520 359 246 174 139 32 837
Deanna L. Kiska 418 0.8× 229 0.6× 363 1.5× 108 0.6× 102 0.7× 35 874
Manuel L. Fernández-Guerrero 507 1.0× 404 1.1× 246 1.0× 97 0.6× 112 0.8× 37 822
Jay S. Goodman 372 0.7× 121 0.3× 250 1.0× 55 0.3× 195 1.4× 32 833
H A Gallis 665 1.3× 101 0.3× 500 2.0× 115 0.7× 91 0.7× 22 1.0k
D. Parratt 377 0.7× 123 0.3× 205 0.8× 81 0.5× 97 0.7× 39 977
P. Rocco LaSala 341 0.7× 131 0.4× 243 1.0× 71 0.4× 68 0.5× 34 834
Recep Öztürk 399 0.8× 183 0.5× 442 1.8× 125 0.7× 76 0.5× 39 947
Val Hall 345 0.7× 195 0.5× 350 1.4× 68 0.4× 219 1.6× 31 940
Vincent Fihman 334 0.6× 110 0.3× 221 0.9× 44 0.3× 117 0.8× 55 807
S J Eykyn 332 0.6× 279 0.8× 343 1.4× 41 0.2× 235 1.7× 31 862

Countries citing papers authored by Juan Corredoira

Since Specialization
Citations

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

Fields of papers citing papers by Juan Corredoira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Corredoira

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