G Vaca

44 papers and 385 indexed citations i.

About

G Vaca is a scholar working on Molecular Biology, Physiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, G Vaca has authored 44 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Physiology and 13 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in G Vaca’s work include Neonatal Health and Biochemistry (11 papers), Metabolism and Genetic Disorders (10 papers) and Erythrocyte Function and Pathophysiology (9 papers). G Vaca is often cited by papers focused on Neonatal Health and Biochemistry (11 papers), Metabolism and Genetic Disorders (10 papers) and Erythrocyte Function and Pathophysiology (9 papers). G Vaca collaborates with scholars based in Mexico, United States and Costa Rica. G Vaca's co-authors include B Ibarra, Jaime Font de Mora, J. M. Cantú, Beryl Westwood, JT Prchal, Ernest Beutler, Luciano Baronciani, Horacio Rivera, Cantú Jm and J. M. Cant� and has published in prestigious journals such as Blood, Journal of Bacteriology and Diabetologia.

In The Last Decade

Co-authorship network of co-authors of G Vaca i

Fields of papers citing papers by G Vaca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G Vaca

Since Specialization
Citations

This map shows the geographic impact of G Vaca'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 G Vaca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Vaca 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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2025