João Prola Netto

14 papers and 325 indexed citations i.

About

João Prola Netto is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, João Prola Netto has authored 14 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 7 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Neurology. Recurrent topics in João Prola Netto’s work include Glioma Diagnosis and Treatment (9 papers), MRI in cancer diagnosis (6 papers) and Advanced MRI Techniques and Applications (4 papers). João Prola Netto is often cited by papers focused on Glioma Diagnosis and Treatment (9 papers), MRI in cancer diagnosis (6 papers) and Advanced MRI Techniques and Applications (4 papers). João Prola Netto collaborates with scholars based in United States, Brazil and Puerto Rico. João Prola Netto's co-authors include Edward A. Neuwelt, Csanád Várallyay, Edison Roberto Parise, Dênis Szejnfeld, Leslie L. Muldoon, Luciana de Carvalho, Seymur Gahramanov, Rongwei Fu, Bronwyn E. Hamilton and Prakash Ambady and has published in prestigious journals such as Journal of Clinical Oncology, Magnetic Resonance in Medicine and Neurosurgery.

In The Last Decade

Co-authorship network of co-authors of João Prola Netto i

Fields of papers citing papers by João Prola Netto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João Prola Netto. 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 João Prola Netto. The network helps show where João Prola Netto may publish in the future.

Countries citing papers authored by João Prola Netto

Since Specialization
Citations

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