Liala De Armas

20 papers and 519 indexed citations i.

About

Liala De Armas is a scholar working on Physiology, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Liala De Armas has authored 20 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 7 papers in Cognitive Neuroscience and 6 papers in Neurology. Recurrent topics in Liala De Armas’s work include Pain Mechanisms and Treatments (15 papers), Pain Management and Treatment (6 papers) and Transcranial Magnetic Stimulation Studies (5 papers). Liala De Armas is often cited by papers focused on Pain Mechanisms and Treatments (15 papers), Pain Management and Treatment (6 papers) and Transcranial Magnetic Stimulation Studies (5 papers). Liala De Armas collaborates with scholars based in Italy and Denmark. Liala De Armas's co-authors include Massimiliano Valeriani, Domenica Le Pera, Domenico Restuccia, Roberto Miliucci, Pietro Tonali, Lars Arendt‐Nielsen, Viviana Betti, Alessio Avenanti, Salvatore Maria Aglioti and Michèle Tinazzi and has published in prestigious journals such as NeuroImage, Pain and Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Liala De Armas i

Fields of papers citing papers by Liala De Armas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liala De Armas. 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 Liala De Armas. The network helps show where Liala De Armas may publish in the future.

Countries citing papers authored by Liala De Armas

Since Specialization
Citations

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