Time trends in autism diagnosis over 20 years: a UK population‐based cohort study
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This map shows the geographic impact of Time trends in autism diagnosis over 20 years: a UK population‐based cohort study. 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 Time trends in autism diagnosis over 20 years: a UK population‐based cohort study with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Time trends in autism diagnosis over 20 years: a UK population‐based cohort study more than expected).
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This network shows the impact of Time trends in autism diagnosis over 20 years: a UK population‐based cohort study. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Time trends in autism diagnosis over 20 years: a UK population‐based cohort study.
About Time trends in autism diagnosis over 20 years: a UK population‐based cohort study
This paper, published in 2021, received 164 indexed citations . Written by Ginny Russell, S Stapley, Tamsin Newlove‐Delgado, Andrew Salmon, Fiona C Warren, Anita Pearson and Tamsin Ford covering the research area of Cognitive Neuroscience, Epidemiology and Education. It is primarily cited by scholars working on Cognitive Neuroscience (130 citations), Clinical Psychology (86 citations), Education (51 citations), Psychiatry and Mental health (41 citations) and Genetics (23 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.13505.