Research Review: Polygenic methods and their application to psychiatric traits
Impact in
- Genetics 228
Classified as
In The Last Decade
doi.org/10.1111/jcpp.12295 →Countries where authors are citing Research Review: Polygenic methods and their application to psychiatric traits
This map shows the geographic impact of Research Review: Polygenic methods and their application to psychiatric traits. 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 Research Review: Polygenic methods and their application to psychiatric traits with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Research Review: Polygenic methods and their application to psychiatric traits more than expected).
Fields of papers citing Research Review: Polygenic methods and their application to psychiatric traits
This network shows the impact of Research Review: Polygenic methods and their application to psychiatric traits. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Research Review: Polygenic methods and their application to psychiatric traits.
About Research Review: Polygenic methods and their application to psychiatric traits
This paper, published in 2014, received 440 indexed citations . Written by Naomi R. Wray, Sang Lee, Divya Mehta, Anna A. E. Vinkhuyzen, Frank Dudbridge and Christel M. Middeldorp covering the research area of Genetics. It is primarily cited by scholars working on Genetics (228 citations), Clinical Psychology (66 citations), Psychiatry and Mental health (63 citations), Experimental and Cognitive Psychology (58 citations) and Molecular Biology (52 citations). Published in Journal of Child Psychology and Psychiatry.
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/10.1111/jcpp.12295.