Mark Daglish

1.5k total citations
40 papers, 920 citations indexed

About

Mark Daglish is a scholar working on Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Mark Daglish has authored 40 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 13 papers in Public Health, Environmental and Occupational Health and 11 papers in Epidemiology. Recurrent topics in Mark Daglish's work include Neurotransmitter Receptor Influence on Behavior (13 papers), Substance Abuse Treatment and Outcomes (9 papers) and Opioid Use Disorder Treatment (8 papers). Mark Daglish is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (13 papers), Substance Abuse Treatment and Outcomes (9 papers) and Opioid Use Disorder Treatment (8 papers). Mark Daglish collaborates with scholars based in Australia, United Kingdom and South Korea. Mark Daglish's co-authors include David Nutt, Anne Lingford‐Hughes, David Nutt, Tom A. Williams, J. Myles, Paul M. Grasby, Lindsay G. Taylor, David J. Brooks, Merrilyn Banks and Lynda Ross and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and American Journal of Psychiatry.

In The Last Decade

Mark Daglish

37 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Daglish Australia 18 415 247 194 152 131 40 920
Bernhard Croissant Germany 17 382 0.9× 175 0.7× 379 2.0× 148 1.0× 139 1.1× 35 1.1k
Helmut Nakovics Germany 17 324 0.8× 238 1.0× 412 2.1× 184 1.2× 120 0.9× 27 1.1k
Alexander Diehl Germany 15 255 0.6× 124 0.5× 291 1.5× 91 0.6× 126 1.0× 33 835
Susan J. Boyd United States 15 343 0.8× 135 0.5× 222 1.1× 154 1.0× 154 1.2× 21 968
R. Ross MacLean United States 18 192 0.5× 361 1.5× 101 0.5× 126 0.8× 99 0.8× 61 1.1k
Fatima Garawi United States 13 308 0.7× 143 0.6× 147 0.8× 111 0.7× 71 0.5× 13 801
Lindsay R. Meredith United States 13 196 0.5× 124 0.5× 291 1.5× 141 0.9× 81 0.6× 40 846
Thorne Sparkman United States 12 471 1.1× 90 0.4× 247 1.3× 128 0.8× 147 1.1× 15 802
Lara Grau‐López Spain 22 322 0.8× 173 0.7× 280 1.4× 375 2.5× 67 0.5× 100 1.3k
Robert Malcolm United States 15 464 1.1× 345 1.4× 226 1.2× 146 1.0× 192 1.5× 24 1.4k

Countries citing papers authored by Mark Daglish

Since Specialization
Citations

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

Fields of papers citing papers by Mark Daglish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Daglish

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Daglish. A scholar is included among the top collaborators of Mark Daglish 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 Mark Daglish. Mark Daglish 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.
2.
Conway, Anna, Frederick L. Altice, Phillip Read, et al.. (2025). Factors Associated With Preferences for Opioid Agonist Therapies Among People Dependent on Opioids. Drug and Alcohol Review. 45(1). e70079–e70079.
3.
Trigg, Joshua, Jane Rich, Edwina Williams, et al.. (2024). A qualitative study of using nicotine products for smoking cessation after discharge from residential drug and alcohol treatment in Australia. Drug and Alcohol Review. 43(5). 1116–1131. 1 indexed citations
4.
Daglish, Mark, et al.. (2023). Cytochrome P450-2D6 activity in people with codeine use disorder. The Pharmacogenomics Journal. 23(6). 195–200. 2 indexed citations
5.
Hm, Wu, et al.. (2021). Direct, indirect and epistatic associations of reward system genes with heroin dependence. Griffith Research Online (Griffith University, Queensland, Australia). 10. 236116.
6.
7.
Hides, Leanne, David J. Kavanagh, Mark Daglish, et al.. (2014). The Quik Fix study: a randomised controlled trial of brief interventions for young people with alcohol-related injuries and illnesses accessing emergency department and crisis support care. BMC Emergency Medicine. 14(1). 19–19. 22 indexed citations
8.
Ross, Lynda, et al.. (2012). Prevalence of malnutrition and nutritional risk factors in patients undergoing alcohol and drug treatment. Nutrition. 28(7-8). 738–743. 89 indexed citations
9.
Dissabandara, Lakal, et al.. (2011). Psychometric properties of three personality inventories translated to Sinhalese. SHILAP Revista de lepidopterología. 2(1). 13–17. 7 indexed citations
10.
Dowson, Nicholas, Pierrick Bourgeat, Stephen Rose, et al.. (2010). Joint Factor and Kinetic Analysis of Dynamic FDOPA PET Scans of Brain Cancer Patients. Lecture notes in computer science. 13(Pt 2). 185–192. 1 indexed citations
11.
Carter, Adrian, Wayne Hall, Benjamin Capps, & Mark Daglish. (2009). Neurobiological Research on Addiction. 1 indexed citations
12.
Daglish, Mark, Tom A. Williams, Sue Wilson, et al.. (2008). Brain dopamine response in human opioid addiction. The British Journal of Psychiatry. 193(1). 65–72. 49 indexed citations
13.
Williams, Tom A., Mark Daglish, Anne Lingford‐Hughes, et al.. (2007). Brain opioid receptor binding in early abstinence from opioid dependence. The British Journal of Psychiatry. 191(1). 63–69. 39 indexed citations
14.
Daglish, Mark, Anne Lingford‐Hughes, & David Nutt. (2005). Human Functional Neuroimaging Connectivity Research in Dependence. Reviews in the Neurosciences. 16(2). 151–7. 5 indexed citations
15.
Melichar, Jan, Susan P. Hume, Tom A. Williams, et al.. (2004). Using [11C]Diprenorphine to Image Opioid Receptor Occupancy by Methadone in Opioid Addiction: Clinical and Preclinical Studies. Journal of Pharmacology and Experimental Therapeutics. 312(1). 309–315. 51 indexed citations
16.
Nutt, David, Anne Lingford‐Hughes, & Mark Daglish. (2003). Future directions in substance dependence research. Journal of neural transmission. Supplementum. 95–103. 8 indexed citations
17.
Lingford‐Hughes, Anne, Simon Davies, Sally R. McIver, et al.. (2003). Addiction. British Medical Bulletin. 65(1). 209–222. 33 indexed citations
18.
Daglish, Mark & David Nutt. (2003). Brain imaging studies in human addicts. European Neuropsychopharmacology. 13(6). 453–458. 41 indexed citations
19.
Daglish, Mark, Aviv Weinstein, Andrea L. Malizia, et al.. (2001). Changes in Regional Cerebral Blood Flow Elicited by Craving Memories in Abstinent Opiate-Dependent Subjects. American Journal of Psychiatry. 158(10). 1680–1686. 129 indexed citations
20.
Daglish, Mark, Jan Melichar, Anne Lingford‐Hughes, et al.. (2000). C-11-diprenorphine PET imaging of opioid binding during chronic methadone treatment and early abstinence. Queensland's institutional digital repository (The University of Queensland). 41(5). 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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