Glenn E. Hunt

256 papers receiving 10.4k citations

Hit Papers

Chi‐square for model fit in confirmatory factor analysis 2020 · 306 citations
3062015202620182022200400600

Peers

Glenn E. Hunt
Comparison fields: 5 of 201
  • Behavioral Neuroscience 887
  • Toxicology 694
  • Biological Psychiatry 357
  • Research and Theory 128
  • Social Psychology 2.6k
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Lisa Gold Australia
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Henry R. Kranzler United States
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Countries citing papers authored by Glenn E. Hunt

Since Specialization
Citations

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

Fields of papers citing papers by Glenn E. Hunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glenn E. Hunt. 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 Glenn E. Hunt. The network helps show where Glenn E. Hunt may publish in the future.

Co-authors

The 25 scholars most cited alongside Glenn E. Hunt, 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 Glenn E. Hunt Line = papers co-authored together Glenn E. Hunt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 259 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prevalence of comorbid substance use, anxiety and mood disorders in epidemiological surveys, 1990–2014: A systematic review and meta-analysis
Hit paper breakdown →
2015609
2 2001404
3
Chi‐square for model fit in confirmatory factor analysis
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2020306
4
Prevalence of comorbid substance use in schizophrenia spectrum disorders in community and clinical settings, 1990–2017: Systematic review and meta-analysis
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2018294
5 2006281
6 2006252
7 2006193
8 2007191
9 2004190
10 2013171
11 2002167
12 2009163
13 2020149
14 2016146
15 2010142
16 2008136
17 2009130
18 1999127
19 2003123
20 2006122

About Glenn E. Hunt

Glenn E. Hunt is a scholar working on Research and Theory, Toxicology, Behavioral Neuroscience, Psychiatry and Mental health and Biological Psychiatry, having authored 259 papers that have together received 10.8k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (37 papers), Schizophrenia research and treatment (29 papers), Mental Health and Patient Involvement (23 papers), Neuroendocrine regulation and behavior (23 papers), Forensic Toxicology and Drug Analysis (21 papers), Neuroscience and Neuropharmacology Research (16 papers), Bipolar Disorder and Treatment (16 papers) and Healthcare Decision-Making and Restraints (15 papers). The work is most often cited by research in Behavioral Neuroscience (887 citations), Toxicology (694 citations), Biological Psychiatry (357 citations), Research and Theory (128 citations) and Social Psychology (2.6k citations). Glenn E. Hunt has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Michelle Cleary, Iain S. McGregor, Jan Horsfall, Harry Man Xiong Lai, Thiagarajan Sitharthan, Garry Walter, Jennifer L. Cornish, Phyllis Butow, Katharine Hodgkinson and Kim Hobbs. Their work appears in journals such as International Journal of Mental Health Nursing, Journal of Small Animal Practice, Australian & New Zealand Journal of Psychiatry, Neuroscience and Journal of Affective Disorders.

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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