Gabriela Gan

22 papers and 469 indexed citations i.

About

Gabriela Gan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Gabriela Gan has authored 22 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 6 papers in Experimental and Cognitive Psychology and 5 papers in Clinical Psychology. Recurrent topics in Gabriela Gan’s work include Functional Brain Connectivity Studies (10 papers), Neural and Behavioral Psychology Studies (8 papers) and Mental Health Research Topics (4 papers). Gabriela Gan is often cited by papers focused on Functional Brain Connectivity Studies (10 papers), Neural and Behavioral Psychology Studies (8 papers) and Mental Health Research Topics (4 papers). Gabriela Gan collaborates with scholars based in Germany, United States and The Netherlands. Gabriela Gan's co-authors include Michael N. Smolka, U. Zimmermann, Michael Marxen, Nelly Alia‐Klein, Muhammad A. Parvaz, Daniel Schwarz, Rita Z. Goldstein, Eva Mennigen, Scott J. Moeller and Maximilian Pilhatsch and has published in prestigious journals such as PLoS ONE, Biological Psychiatry and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Co-authorship network of co-authors of Gabriela Gan i

Fields of papers citing papers by Gabriela Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gabriela Gan

Since Specialization
Citations

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