Stephen Curran

1.1k citations
72 papers · 736 · h-index 16

Impact in

    • Dementia and Cognitive Impairment Research
    • Epilepsy research and treatment
    • Schizophrenia research and treatment
    • Electroconvulsive Therapy Studies
    • Functional Brain Connectivity Studies

Papers in

Stephen Curran

69 papers receiving 696 citations

Peers

Stephen Curran
Comparison fields: 5 of 110
  • Psychiatry and Mental health 219
  • Cognitive Neuroscience 133
  • Behavioral Neuroscience 20
  • Pharmacology 88
  • Neurology 40
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Citations per year

Countries citing papers authored by Stephen Curran

Since Specialization
Citations

This map shows the geographic impact of Stephen Curran's research. 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 Stephen Curran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Curran more than expected).

Fields of papers citing papers by Stephen Curran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Curran. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephen Curran. The network helps show where Stephen Curran may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen Curran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen Curran Line = papers co-authored together Stephen Curran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199365
2 199254
3 199844
4 199336
5 200035
6
The split-dose technique for the study of psychological and pharmacological activation with the cerebral blood flow marker 99m-Tc-exametazime and single photon emission computed tomography (SPECT): reproducibility and rater reliability
199133
7 199329
8 199028
9 201426
10 199526
11 200625
12 200322
13 200022
14 201118
15 199818
16 200417
17 200514
18 200014
19 199414
20 198914

About Stephen Curran

Stephen Curran is a scholar working on Psychiatry and Mental health, Clinical Psychology, Pharmacology, Public Health, Environmental and Occupational Health and Neurology, having authored 72 papers that have together received 736 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (15 papers), Schizophrenia research and treatment (7 papers), Alzheimer's disease research and treatments (6 papers), Treatment of Major Depression (5 papers), Functional Brain Connectivity Studies (4 papers), Health and Medical Research Impacts (3 papers), RNA Interference and Gene Delivery (3 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Psychiatry and Mental health (219 citations), Cognitive Neuroscience (133 citations), Behavioral Neuroscience (20 citations), Pharmacology (88 citations) and Neurology (40 citations). Stephen Curran has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include John Wattis, Guy M. Goodwin, Klaus P. Ebmeier, Ronan E. O’Carroll, Nadine Dougall, M. Van Beck, Catherine Murray, Marie‐Paule Austin, I. Hindmarch and William Neil. Their work appears in journals such as Human Psychopharmacology Clinical and Experimental, International Journal of Geriatric Psychiatry, Irish Journal of Psychological Medicine, The British Journal of Psychiatry and European Neuropsychopharmacology.

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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