DJ Nutt

2.1k total citations · 1 hit paper
35 papers, 1.2k citations indexed

About

DJ Nutt is a scholar working on Cellular and Molecular Neuroscience, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, DJ Nutt has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 8 papers in Clinical Psychology and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in DJ Nutt's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (6 papers), Stress Responses and Cortisol (5 papers) and Psychedelics and Drug Studies (5 papers). DJ Nutt is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (6 papers), Stress Responses and Cortisol (5 papers) and Psychedelics and Drug Studies (5 papers). DJ Nutt collaborates with scholars based in United Kingdom, Australia and United States. DJ Nutt's co-authors include Anne Lingford‐Hughes, S. Welch, Stafford L. Lightman, C.A. Lowry, SJ Wilson, Jayne Bailey, A. Papadopoulos, Magnus Ivarsson, P.H. Hutson and Louise M. Paterson and has published in prestigious journals such as The Journal of Clinical Psychiatry, British Journal of Clinical Pharmacology and Journal of Psychopharmacology.

In The Last Decade

DJ Nutt

33 papers receiving 1.1k citations

Hit Papers

Serotonin and brain function: a tale of two receptors 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
DJ Nutt United Kingdom 15 432 357 198 192 156 35 1.2k
Matthew J. Baggott United States 20 632 1.5× 475 1.3× 164 0.8× 133 0.7× 96 0.6× 36 1.4k
Eva Grasa Spain 15 366 0.8× 204 0.6× 322 1.6× 215 1.1× 97 0.6× 57 974
Mark T. Wagner United States 19 1.0k 2.4× 479 1.3× 285 1.4× 98 0.5× 264 1.7× 43 1.8k
Dea Siggaard Stenbæk Denmark 20 952 2.2× 573 1.6× 174 0.9× 136 0.7× 512 3.3× 81 1.6k
Will Lawn United Kingdom 20 482 1.1× 472 1.3× 238 1.2× 127 0.7× 118 0.8× 60 1.2k
Anya K. Bershad United States 16 477 1.1× 326 0.9× 96 0.5× 139 0.7× 174 1.1× 33 805
Ede Frecska Hungary 20 724 1.7× 539 1.5× 265 1.3× 103 0.5× 225 1.4× 80 1.8k
Kenneth G. Walton United States 24 805 1.9× 281 0.8× 200 1.0× 141 0.7× 58 0.4× 57 2.0k
Claire Wilcox United States 17 972 2.3× 637 1.8× 549 2.8× 222 1.2× 505 3.2× 40 1.9k
Rafael Faria Sanches Brazil 15 1.2k 2.7× 556 1.6× 132 0.7× 105 0.5× 403 2.6× 25 1.7k

Countries citing papers authored by DJ Nutt

Since Specialization
Citations

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

Fields of papers citing papers by DJ Nutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by DJ Nutt. 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 DJ Nutt. The network helps show where DJ Nutt may publish in the future.

Co-authorship network of co-authors of DJ Nutt

This figure shows the co-authorship network connecting the top 25 collaborators of DJ Nutt. A scholar is included among the top collaborators of DJ Nutt 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 DJ Nutt. DJ Nutt 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.
Suzuki, Kota, et al.. (2026). Psilocybin for psychiatric disorders: History, clinical trials, neuroimaging, and regulations. Psychiatry and Clinical Neurosciences.
3.
Hood, Sean, et al.. (2016). Don’t panic. A guide to tryptophan depletion with disorder-specific anxiety provocation. Journal of Psychopharmacology. 30(11). 1137–1140. 5 indexed citations
4.
Brugger, Stefan, et al.. (2013). Psychiatry’s next top model: cause for a re-think on drug models of psychosis and other psychiatric disorders. Journal of Psychopharmacology. 27(9). 771–778. 35 indexed citations
5.
Lingford‐Hughes, Anne, et al.. (2012). BAP updated guidelines: evidence-based guidelines for the pharmacological management of substance abuse, harmful use, addiction and comorbidity: recommendations from BAP. Journal of Psychopharmacology. 26(7). 899–952. 188 indexed citations
6.
Kalk, Nicola J., Jan Melichar, Mark Daglish, et al.. (2011). Central noradrenergic responsiveness to a clonidine challenge in Generalized Anxiety Disorder: a Single Photon Emission Computed Tomography study. Journal of Psychopharmacology. 26(4). 452–460. 9 indexed citations
7.
Hood, Sean, Nicola J. Kalk, Dana Hince, et al.. (2010). Noradrenergic function in generalized anxiety disorder: impact of treatment with venlafaxine on the physiological and psychological responses to clonidine challenge. Journal of Psychopharmacology. 25(1). 78–86. 18 indexed citations
8.
Paterson, Louise M., DJ Nutt, Magnus Ivarsson, P.H. Hutson, & SJ Wilson. (2009). Effects on sleep stages and microarchitecture of caffeine and its combination with zolpidem or trazodone in healthy volunteers. Journal of Psychopharmacology. 23(5). 487–494. 25 indexed citations
9.
Bailey, Jayne, et al.. (2008). A comparison of the effects of a subtype selective and non-selective benzodiazepine receptor agonist in two CO2 models of experimental human anxiety. Journal of Psychopharmacology. 23(2). 117–122. 37 indexed citations
10.
Nutt, DJ, et al.. (2008). Voluntary exercise alters GABAA receptor subunit and glutamic acid decarboxylase-67 gene expression in the rat forebrain. Journal of Psychopharmacology. 24(5). 745–756. 46 indexed citations
11.
Papadopoulos, A., et al.. (2008). The effects of single dose anxiolytic medication on the CO2 models of anxiety: differentiation of subjective and objective measures. Journal of Psychopharmacology. 24(5). 649–656. 22 indexed citations
12.
Nutt, DJ, et al.. (2007). Consensus Statement on the Benefit to the Community of ESEMeD Survey Data on Depression and Anxiety. The Journal of Clinical Psychiatry. 42–48.
14.
Nutt, DJ, et al.. (2000). CHEST PAIN: PANIC ATTACK OR HEART ATTACK?. International Journal of Clinical Practice. 54(2). 110–114. 17 indexed citations
15.
Nutt, DJ, et al.. (2000). Chest pain: panic attack or heart attack?. PubMed. 54(2). 110–4. 18 indexed citations
16.
Smith, Andrew, et al.. (1999). Effects of the common cold on subjective alertness, simple and choice reaction time and eye movements. Journal of Psychophysiology. 145–151. 4 indexed citations
17.
Wilson, SJ, et al.. (1997). Antidepressant drugs and the cardiovascular system: a comparison of tricyclics and SSRIs and their relevance for the treatment of psychiatric patients with cardiovascular problems. Journal of Psychopharmacology. 83–92. 2 indexed citations
18.
Nutt, DJ, et al.. (1995). Benzodiazepine receptor function in anxiety disorders.. PubMed. 48. 115–33. 15 indexed citations
19.
Marshall, R. W., et al.. (1995). The use of saccadic eye movement measures in psychopharmacology. Bristol Research (University of Bristol). 137–155. 5 indexed citations
20.
Nutt, DJ, et al.. (1993). Beat to beat monitoring of orthostatic hypotension - a comparison of phenelzine with moclobemide. 6th Congress ECNP, October 10-14, Budapest, Hungary. European Neuropsychopharmacology. 1 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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