Stephen Curran

1.1k total citations
72 papers, 730 citations indexed

About

Stephen Curran is a scholar working on Psychiatry and Mental health, Clinical Psychology and Pharmacology. According to data from OpenAlex, Stephen Curran has authored 72 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Psychiatry and Mental health, 13 papers in Clinical Psychology and 8 papers in Pharmacology. Recurrent topics in Stephen Curran's work include Dementia and Cognitive Impairment Research (17 papers), Schizophrenia research and treatment (7 papers) and Alzheimer's disease research and treatments (7 papers). Stephen Curran is often cited by papers focused on Dementia and Cognitive Impairment Research (17 papers), Schizophrenia research and treatment (7 papers) and Alzheimer's disease research and treatments (7 papers). Stephen Curran collaborates with scholars based in United Kingdom, United States and Ireland. Stephen Curran's co-authors include John Wattis, Klaus P. Ebmeier, Guy M. Goodwin, Ronan E. O’Carroll, Nadine Dougall, M. Van Beck, Catherine Murray, I. Hindmarch, Marie‐Paule Austin and William Neil and has published in prestigious journals such as The Lancet, The British Journal of Psychiatry and International Journal of Pharmaceutics.

In The Last Decade

Stephen Curran

68 papers receiving 688 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephen Curran United Kingdom 16 267 167 124 102 72 72 730
I. Schweitzer Australia 19 344 1.3× 162 1.0× 147 1.2× 143 1.4× 134 1.9× 37 1.1k
R. García-Ramos Spain 18 254 1.0× 167 1.0× 50 0.4× 127 1.2× 61 0.8× 68 992
John R. Absher United States 16 382 1.4× 200 1.2× 45 0.4× 173 1.7× 61 0.8× 43 882
Keith Robinson United States 19 266 1.0× 182 1.1× 62 0.5× 93 0.9× 68 0.9× 61 1.2k
Mirella Russo Italy 16 285 1.1× 156 0.9× 70 0.6× 53 0.5× 87 1.2× 60 761
Etsuko Oshima Japan 15 276 1.0× 114 0.7× 39 0.3× 183 1.8× 48 0.7× 33 635
Kayoko Takahashi Japan 20 185 0.7× 90 0.5× 143 1.2× 96 0.9× 130 1.8× 65 1.1k
Aleksander Araszkiewicz Poland 17 247 0.9× 52 0.3× 69 0.6× 89 0.9× 85 1.2× 71 938
Melanie Shulman United States 11 486 1.8× 208 1.2× 48 0.4× 249 2.4× 43 0.6× 18 784
Elisa Mantovani Italy 14 325 1.2× 79 0.5× 68 0.5× 128 1.3× 91 1.3× 48 869

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-authorship network of co-authors of Stephen Curran

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Curran. A scholar is included among the top collaborators of Stephen Curran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen Curran. Stephen Curran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Curran, Stephen, et al.. (2025). Early Detection in Alzheimer' s Disease. Elsevier eBooks. 19(2). 3–5.
2.
Wattis, John & Stephen Curran. (2024). Practical Psychiatry of Old Age, Fifth Edition.
3.
4.
Ye, Zhen, Mai Mohamed Abdelmoaty, Stephen Curran, et al.. (2021). Preliminary preclinical study of Chol-DsiRNA polyplexes formed with PLL[30]-PEG[5K] for the RNAi-based therapy of breast cancer. Nanomedicine Nanotechnology Biology and Medicine. 33. 102363–102363. 4 indexed citations
5.
6.
Wakaskar, Rajesh R., Zhen Ye, Stephen Curran, et al.. (2018). Complexation of Chol-DsiRNA in place of Chol-siRNA greatly increases the duration of mRNA suppression by polyplexes of PLL(30)-PEG(5K) in primary murine syngeneic breast tumors after i.v. administration. International Journal of Pharmaceutics. 543(1-2). 130–138. 5 indexed citations
7.
8.
Iessa, Noha, Kristina Star, Lynda Wilton, et al.. (2011). Montelukast and Suicide: Causality Assessment Using Spontaneous Reports and Bradford Hill Guidelines. Drug Safety. 34. 949–950. 2 indexed citations
9.
Morrell, C Jane, et al.. (2011). Identification of depressive disorder among older people in care homes – a feasibility study. Primary Health Care Research & Development. 12(3). 255–265. 5 indexed citations
10.
Wattis, John, et al.. (2006). Pharmacological management of behavioural and psychological disturbance in dementia. Human Psychopharmacology Clinical and Experimental. 21(1). 1–12. 25 indexed citations
11.
Curran, Stephen, et al.. (2005). Psychotropic drug use in older people with mental illness with particular reference to antipsychotics: a systematic study of tolerability and use in different diagnostic groups. International Journal of Geriatric Psychiatry. 20(9). 842–847. 14 indexed citations
12.
Curran, Stephen, et al.. (2004). Critical Flicker Fusion Threshold in patients with Alzheimer's disease and vascular dementia. International Journal of Geriatric Psychiatry. 19(6). 575–581. 16 indexed citations
13.
Curran, Stephen, John Wattis, & Sean Lynch. (2001). Practical management of depression in older people. University of Huddersfield Repository (University of Huddersfield). 4 indexed citations
14.
Curran, Stephen, et al.. (1998). Selecting an Antidepressant for Use in a Patient with Epilepsy. Drug Safety. 18(2). 125–133. 44 indexed citations
15.
Curran, Stephen. (1995). Effect of paroxetine on seizure length during electroconvulsive therapy. Acta Psychiatrica Scandinavica. 92(3). 239–240. 26 indexed citations
16.
O’Carroll, Ronan E., Stephen Curran, M. Ross, et al.. (1994). The differentiation of major depression from dementia of the Alzheimer type using within‐subject neuropsychological discrepancy analysis. British Journal of Clinical Psychology. 33(1). 23–32. 14 indexed citations
17.
Curran, Stephen, M. Van Beck, Nadine Dougall, et al.. (1993). A Single Photon Emission Computerised Tomography Study of Regional Brain Function in Elderly Patients with Major Depression and with Alzheimer-Type Dementia. The British Journal of Psychiatry. 163(2). 155–165. 65 indexed citations
18.
O’Carroll, Ronan E., Nadine Dougall, M. Van Beck, et al.. (1993). A Single Photon Emission Computerised Tomography Study of Regional Brain Function Underlying Verbal Memory in Patients with Alzheimer-Type Dementia. The British Journal of Psychiatry. 163(2). 166–172. 29 indexed citations
19.
Goodwin, Guy M., Marie‐Paule Austin, Stephen Curran, et al.. (1993). The elevation of plasma β-endorphin levels in major depression. Journal of Affective Disorders. 29(4). 281–289. 36 indexed citations
20.
Ebmeier, Klaus P., Nadine Dougall, Catherine Murray, et al.. (1991). 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. International Journal of Methods in Psychiatric Research. 1. 27–38. 33 indexed citations

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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