Daniel Rial

44 papers and 1.4k indexed citations i.

About

Daniel Rial is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Daniel Rial has authored 44 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 14 papers in Neurology and 13 papers in Molecular Biology. Recurrent topics in Daniel Rial’s work include Neuroscience and Neuropharmacology Research (17 papers), Adenosine and Purinergic Signaling (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Daniel Rial is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Adenosine and Purinergic Signaling (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Daniel Rial collaborates with scholars based in Brazil, Portugal and United States. Daniel Rial's co-authors include Rui Daniel Prediger, Rodrigo A. Cunha, Francisco Q. Gonçalves, Cristina Lemos, Cláudia P. Figueiredo, Joana I. Real, Henrique B. Silva, Nélio Gonçalves, Roger Walz and Ângelo R. Tomé and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Biological Psychiatry.

In The Last Decade

Co-authorship network of co-authors of Daniel Rial i

Fields of papers citing papers by Daniel Rial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Rial

Since Specialization
Citations

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