Fernando Pradella

16 papers and 387 indexed citations i.

About

Fernando Pradella is a scholar working on Pathology and Forensic Medicine, Immunology and Surgery. According to data from OpenAlex, Fernando Pradella has authored 16 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 6 papers in Immunology and 3 papers in Surgery. Recurrent topics in Fernando Pradella’s work include Multiple Sclerosis Research Studies (5 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (4 papers). Fernando Pradella is often cited by papers focused on Multiple Sclerosis Research Studies (5 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (4 papers). Fernando Pradella collaborates with scholars based in Brazil, Germany and United States. Fernando Pradella's co-authors include Alessandro S. Farias, Leonilda Maria Barbosa dos Santos, Ana Leda F. Longhini, Adriel S. Moraes, Elaine C. Oliveira, Alexandre Leite Rodrigues de Oliveira, Daniel Martins‐de‐Souza, Mauro Vaisberg, Camila Ortolan Fernandes de Oliveira and Adriana Silva Santos Duarte and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Co-authorship network of co-authors of Fernando Pradella i

Fields of papers citing papers by Fernando Pradella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fernando Pradella

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025