Jorge Díaz–Garzón

59 papers and 1.1k indexed citations i.

About

Jorge Díaz–Garzón is a scholar working on Physiology, Statistics, Probability and Uncertainty and Statistics and Probability. According to data from OpenAlex, Jorge Díaz–Garzón has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Physiology, 19 papers in Statistics, Probability and Uncertainty and 17 papers in Statistics and Probability. Recurrent topics in Jorge Díaz–Garzón’s work include Clinical Laboratory Practices and Quality Control (32 papers), Meta-analysis and systematic reviews (19 papers) and Statistical Methods in Clinical Trials (17 papers). Jorge Díaz–Garzón is often cited by papers focused on Clinical Laboratory Practices and Quality Control (32 papers), Meta-analysis and systematic reviews (19 papers) and Statistical Methods in Clinical Trials (17 papers). Jorge Díaz–Garzón collaborates with scholars based in Spain, Norway and Italy. Jorge Díaz–Garzón's co-authors include Pilar Fernández–Calle, Sverre Sandberg, Abdurrahman Coşkun, Anna Carobene, Aasne K. Aarsand, Niels Jonker, William A. Bartlett, Ferruccio Ceriotti, Thomas Røraas and Elena Guerra and has published in prestigious journals such as Clinical Chemistry, Clinica Chimica Acta and Osteoporosis International.

In The Last Decade

Co-authorship network of co-authors of Jorge Díaz–Garzón i

Fields of papers citing papers by Jorge Díaz–Garzón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Díaz–Garzón. 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 Jorge Díaz–Garzón. The network helps show where Jorge Díaz–Garzón may publish in the future.

Countries citing papers authored by Jorge Díaz–Garzón

Since Specialization
Citations

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

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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