Translational Psychiatry

4.1k papers and 121.4k indexed citations i.

About

The 4.1k papers published in Translational Psychiatry in the last decades have received a total of 121.4k indexed citations. Papers published in Translational Psychiatry usually cover Cognitive Neuroscience (1.2k papers), Molecular Biology (924 papers) and Psychiatry and Mental health (798 papers) specifically the topics of Tryptophan and brain disorders (711 papers), Stress Responses and Cortisol (552 papers) and Functional Brain Connectivity Studies (547 papers). The most active scholars publishing in Translational Psychiatry are Lynn D. Selemon, George S. Alexopoulos, Brenda W.J.H. Penninx, Kenji Hashimoto, Richard E. Frye, Randy J. Nelson, Marinus H. van IJzendoorn, Marian J. Bakermans‐Kranenburg, Gustavo Turecki and John F. Cryan.

In The Last Decade

Fields of papers published in Translational Psychiatry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Translational Psychiatry. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Translational Psychiatry.

Countries where authors publish in Translational Psychiatry

Since Specialization
Citations

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