University College London

13.2M citations
331.4k papers ·

Impact in

    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • Neural and Behavioral Psychology Studies
    • Memory and Neural Mechanisms
  • Neurology top 0.01%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments

Papers in

    • Neural dynamics and brain function 4.2k
    • Functional Brain Connectivity Studies 2.7k
    • Neural and Behavioral Psychology Studies 2.5k
    • Visual perception and processing mechanisms 2.4k
    • Epilepsy research and treatment 2.6k

University College London

286.9k papers receiving 11.6M citations

Peers

University College London
Comparison fields: 5 of 252
  • Cognitive Neuroscience 1.2M
  • Neurology 344.9k
  • Cellular and Molecular Neuroscience 784.1k
  • Psychiatry and Mental health 533.7k
  • Neurology 511.3k
Replace University of Oxford with:
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King's College London United Kingdom
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Imperial College London United Kingdom
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University College London relative to University of Oxford United Kingdom University of Oxford's profile →
Citations per field
00.5×1.5×2.3×
University of Oxford · 1×
Citations per year

Countries citing scholars working at University College London

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at University College London. 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 produced at University College London with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites University College London more than expected).

Fields of papers published by authors at University College London

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with University College London at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with University College London at the time of their publication.

About University College London

In recent decades, authors affiliated with University College London have published 331.4k papers, which have received a total of 13.2M indexed citations . Scholars at this organization have produced 18.7k papers in Cognitive Neuroscience, 10.8k papers in Psychiatry and Mental health, 10.7k papers in Neurology, 14.0k papers in Cellular and Molecular Neuroscience and 5.7k papers in Ophthalmology on the topics of Neuroscience and Neuropharmacology Research (4.8k papers), Neural dynamics and brain function (4.2k papers), Functional Brain Connectivity Studies (2.7k papers), Epilepsy research and treatment (2.6k papers), Parkinson's Disease Mechanisms and Treatments (2.5k papers), Neural and Behavioral Psychology Studies (2.5k papers), Visual perception and processing mechanisms (2.4k papers) and Ion channel regulation and function (2.4k papers). Their work is cited by papers focused on Cognitive Neuroscience (1.2M citations), Neurology (344.9k citations), Cellular and Molecular Neuroscience (784.1k citations), Psychiatry and Mental health (533.7k citations) and Neurology (511.3k citations). Authors at University College London collaborate with scholars in United Kingdom, United States and Germany and have published in prestigious journals including PLoS ONE, The Lancet, Nature, Monthly Notices of the Royal Astronomical Society and Scientific Reports. Some of University College London's most productive authors include Karl Friston, Chris Frith, Geoffrey Burnstock, Adrian Furnham, Raymond J. Dolan, Michael Marmot, Alan Hall, Susan Michie, Andrew Steptoe and John Ashburner.

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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