John J. Curtin

10.2k citations
139 papers · 7.2k indexed · 1 hit paper · h-index 45

Impact in

Papers in

John J. Curtin

133 papers receiving 6.9k citations

Hit Papers

Linear mixed-effects models and the analysis of nonindependent data: A unified framework to analyze categorical and continuous independent variables that vary within-subjects and/or within-items. 2017 · 369 citations
3692017202620202023100200300

Peers

John J. Curtin
Comparison fields: 5 of 184
  • Applied Psychology 641
  • Experimental and Cognitive Psychology 1.5k
  • Clinical Psychology 2.3k
  • Behavioral Neuroscience 329
  • Internal Medicine 333
Replace David Rosenthal with:
David Rosenthal United States
Daryl B. O’Connor United Kingdom
Robert J. Hancox New Zealand
Paul Bennett United Kingdom
Tania B. Huedo–Medina United States
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Citations per field
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Citations per year

Countries citing papers authored by John J. Curtin

Since Specialization
Citations

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

Fields of papers citing papers by John J. Curtin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Curtin. 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 John J. Curtin. The network helps show where John J. Curtin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20233
5 20236
6 20213
7 20217
8 20216
9 202021
10 202012
11 201648
12 20167
13 201534
14 201590
15
Communication in advanced cancer care: designing a video-based research study
20151
16 201429
17 201372
18 201158
19 201130
20 2006210

About John J. Curtin

John J. Curtin is a scholar working on Behavioral Neuroscience, Applied Psychology, Experimental and Cognitive Psychology, General Psychology and Biological Psychiatry, having authored 139 papers that have together received 7.2k indexed citations. Recurring topics across this work include Mental Health Research Topics (23 papers), Neural and Behavioral Psychology Studies (19 papers), Stress Responses and Cortisol (19 papers), Psychopathy, Forensic Psychiatry, Sexual Offending (18 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (17 papers), Neurotransmitter Receptor Influence on Behavior (14 papers), Behavioral Health and Interventions (13 papers) and Substance Abuse Treatment and Outcomes (11 papers). The work is most often cited by research in Applied Psychology (641 citations), Experimental and Cognitive Psychology (1.5k citations), Clinical Psychology (2.3k citations), Behavioral Neuroscience (329 citations) and Internal Medicine (333 citations). John J. Curtin has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Christopher J. Patrick, Auke Tellegen, Joseph P. Newman, Arielle Baskin–Sommers, Markus Bräuer, Rodney M. Donlan, Alan R. Lang, Daniel E. Bradford, Christine A. Moberg and Edelyn Verona. Their work appears in journals such as Journal of Abnormal Psychology, Psychophysiology, Psychological Assessment, Clinical Radiology and Psychological Science.

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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