Ageing and brain white matter structure in 3,513 UK Biobank participants
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- Nature Communications
In The Last Decade
doi.org/10.1038/ncomms13629 →Countries where authors are citing Ageing and brain white matter structure in 3,513 UK Biobank participants
This map shows the geographic impact of Ageing and brain white matter structure in 3,513 UK Biobank participants. 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 Ageing and brain white matter structure in 3,513 UK Biobank participants with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ageing and brain white matter structure in 3,513 UK Biobank participants more than expected).
Fields of papers citing Ageing and brain white matter structure in 3,513 UK Biobank participants
This network shows the impact of Ageing and brain white matter structure in 3,513 UK Biobank participants. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Ageing and brain white matter structure in 3,513 UK Biobank participants.
About Ageing and brain white matter structure in 3,513 UK Biobank participants
This paper, published in 2016, received 321 indexed citations . Written by Simon R. Cox, Stuart J. Ritchie, Elliot M. Tucker–Drob, David C. Liewald, Saskia P. Hagenaars, Gail Davies, Joanna M. Wardlaw, Catharine R. Galé, Mark E. Bastin and Ian J. Deary covering the research area of Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. It is primarily cited by scholars working on Radiology, Nuclear Medicine and Imaging (213 citations), Cognitive Neuroscience (151 citations) and Psychiatry and Mental health (55 citations). Published in Nature Communications.
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/10.1038/ncomms13629.