Candidate biomarkers in psychiatric disorders: state of the field

133 indexed citations

Abstract

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This paper, published in 2023, received 133 indexed citations. Written by Anissa Abi‐Dargham, Scott J. Moeller, Christine DeLorenzo, Katharina Domschke, Guillermo Horga, Amandeep Jutla, Roman Kotov, Martin P. Paulus, José M. Rubio and Gerard Sanacora covering the research area of Cognitive Neuroscience, Experimental and Cognitive Psychology and Biological Psychiatry. It is primarily cited by scholars working on Cognitive Neuroscience (48 citations), Psychiatry and Mental health (42 citations) and Experimental and Cognitive Psychology (30 citations). Published in World Psychiatry.

Countries where authors are citing Candidate biomarkers in psychiatric disorders: state of the field

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This map shows the geographic impact of Candidate biomarkers in psychiatric disorders: state of the field. 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 Candidate biomarkers in psychiatric disorders: state of the field with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Candidate biomarkers in psychiatric disorders: state of the field more than expected).

Fields of papers citing Candidate biomarkers in psychiatric disorders: state of the field

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Candidate biomarkers in psychiatric disorders: state of the field. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Candidate biomarkers in psychiatric disorders: state of the field.

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.

This paper is also available at doi.org/10.1002/wps.21078.

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