Fani Neto

43 papers and 1.3k indexed citations i.

About

Fani Neto is a scholar working on Physiology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Fani Neto has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Physiology, 28 papers in Cellular and Molecular Neuroscience and 11 papers in Pharmacology. Recurrent topics in Fani Neto’s work include Pain Mechanisms and Treatments (35 papers), Neuroscience and Neuropharmacology Research (12 papers) and Neuropeptides and Animal Physiology (9 papers). Fani Neto is often cited by papers focused on Pain Mechanisms and Treatments (35 papers), Neuroscience and Neuropharmacology Research (12 papers) and Neuropeptides and Animal Physiology (9 papers). Fani Neto collaborates with scholars based in Portugal, Spain and Germany. Fani Neto's co-authors include José Manuel Castro‐Lopes, Esther Berrocoso, J.A. Micó, Gisela Borges, Joana Ferreira‐Gomes, Jan Schadrack, Meritxell Llorca-Torralba, Catarina Soares Potes, Sonia Torres-Sánchez and W. Zieglgänsberger and has published in prestigious journals such as PLoS ONE, Brain Research and Pain.

In The Last Decade

Co-authorship network of co-authors of Fani Neto i

Fields of papers citing papers by Fani Neto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fani Neto

Since Specialization
Citations

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