Julie L. Ji

1.2k total citations
30 papers, 697 citations indexed

About

Julie L. Ji is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology and Cognitive Neuroscience. According to data from OpenAlex, Julie L. Ji has authored 30 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Experimental and Cognitive Psychology, 14 papers in Clinical Psychology and 10 papers in Cognitive Neuroscience. Recurrent topics in Julie L. Ji's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (12 papers), Mental Health Research Topics (11 papers) and Neural and Behavioral Psychology Studies (7 papers). Julie L. Ji is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (12 papers), Mental Health Research Topics (11 papers) and Neural and Behavioral Psychology Studies (7 papers). Julie L. Ji collaborates with scholars based in Australia, United Kingdom and Sweden. Julie L. Ji's co-authors include Emily A. Holmes, Colin MacLeod, Fritz Renner, Simon E. Blackwell, Stephanie Burnett Heyes, Fionnuala C. Murphy, Tom Manly, Lisa M. Saulsman, Martina Di Simplicio and Arnaud Pictet and has published in prestigious journals such as Scientific Reports, Journal of Consulting and Clinical Psychology and Pain.

In The Last Decade

Julie L. Ji

26 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
Julie L. Ji Australia 13 378 269 221 132 127 30 697
Laura Hoppitt United Kingdom 15 466 1.2× 427 1.6× 240 1.1× 118 0.9× 82 0.6× 18 770
Tamara J. Lang United Kingdom 8 642 1.7× 374 1.4× 272 1.2× 127 1.0× 82 0.6× 8 844
Sabine Nelis Belgium 15 428 1.1× 411 1.5× 156 0.7× 178 1.3× 60 0.5× 22 745
Faith A. Brozovich United States 11 634 1.7× 530 2.0× 233 1.1× 137 1.0× 60 0.5× 14 820
Keith Bredemeier United States 11 350 0.9× 285 1.1× 127 0.6× 152 1.2× 64 0.5× 17 645
Angela D. Staples United States 13 337 0.9× 317 1.2× 199 0.9× 171 1.3× 48 0.4× 37 813
Marilisa Boffo Netherlands 18 275 0.7× 365 1.4× 119 0.5× 170 1.3× 189 1.5× 35 798
Charlotte E. Wittekind Germany 18 381 1.0× 552 2.1× 195 0.9× 91 0.7× 140 1.1× 58 1.0k
Michelle Achterberg Netherlands 16 205 0.5× 423 1.6× 396 1.8× 294 2.2× 91 0.7× 27 933
Jennifer T. Sy United States 12 387 1.0× 476 1.8× 164 0.7× 118 0.9× 78 0.6× 16 797

Countries citing papers authored by Julie L. Ji

Since Specialization
Citations

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

Fields of papers citing papers by Julie L. Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julie L. Ji. 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 Julie L. Ji. The network helps show where Julie L. Ji may publish in the future.

Co-authorship network of co-authors of Julie L. Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Julie L. Ji. A scholar is included among the top collaborators of Julie L. Ji 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 Julie L. Ji. Julie L. Ji 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
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Todd, Jemma, et al.. (2025). Reimagining pain: the role of mental imagery in pain experience. Pain. 167(4). 751–755.
4.
Bockstaele, Bram Van, Patrick Clarke, Jemma Todd, et al.. (2024). Effects of intensity on emotion regulation strategy preferences are emotion-specific. Motivation and Emotion. 48(6). 903–915.
5.
Ji, Julie L., Marcella L. Woud, Lies Notebaert, et al.. (2024). Investigating the role of mental imagery use in the assessment of anhedonia. Cognition & Emotion. 39(2). 227–245. 1 indexed citations
6.
Ji, Julie L., Michael J. Kyron, Lisa M. Saulsman, et al.. (2024). Picturing self‐harm: Investigating flash‐forward mental imagery as a proximal and modifiable driver of non‐suicidal self‐injury. Suicide and Life-Threatening Behavior. 54(4). 713–727. 3 indexed citations
7.
Ji, Julie L. & Colin MacLeod. (2024). Less bang for my buck: Diminished anticipated enjoyment contributes to dysphoria-linked deficit in activity behavioural engagement choice. Behaviour Research and Therapy. 177. 104526–104526. 1 indexed citations
8.
Eberle, Jeremy William, Katharine E. Daniel, Alexandra L. Silverman, et al.. (2024). Web-based interpretation bias training to reduce anxiety: A sequential, multiple-assignment randomized trial.. Journal of Consulting and Clinical Psychology. 92(6). 367–384. 3 indexed citations
9.
Lawrence, Hannah R., et al.. (2023). Mental imagery of suicide and non-suicidal self-injury: A meta-analysis and systematic review. Clinical Psychology Review. 103. 102302–102302. 17 indexed citations
10.
Ji, Julie L. & Colin MacLeod. (2023). Investigating the role of action-contingent expectancy biases in dysphoria-linked activity engagement behavioural choice. Behaviour Research and Therapy. 167. 104353–104353. 3 indexed citations
11.
Ji, Julie L., Julian Basanovic, & Colin MacLeod. (2022). Social activity promotes resilience against loneliness in depressed individuals: a study over 14-days of physical isolation during the COVID-19 pandemic in Australia. Scientific Reports. 12(1). 7155–7155. 9 indexed citations
12.
Attwell, Katie, et al.. (2022). COVID-19 Vaccine Mandates: Attitudes and Effects on Holdouts in a Large Australian University Population. International Journal of Environmental Research and Public Health. 19(16). 10130–10130. 3 indexed citations
13.
Ji, Julie L., et al.. (2021). Multi-session online interpretation bias training for anxiety in a community sample. Behaviour Research and Therapy. 142. 103864–103864. 18 indexed citations
14.
Ji, Julie L., Fionnuala C. Murphy, Ben Grafton, Colin MacLeod, & Emily A. Holmes. (2021). Emotional mental imagery generation during spontaneous future thinking: relationship with optimism and negative mood. Psychological Research. 86(2). 617–626. 10 indexed citations
15.
Renner, Fritz, Fionnuala C. Murphy, Julie L. Ji, Tom Manly, & Emily A. Holmes. (2019). Mental imagery as a “motivational amplifier” to promote activities. Behaviour Research and Therapy. 114. 51–59. 109 indexed citations
16.
Ji, Julie L., David J. Kavanagh, Emily A. Holmes, Colin MacLeod, & Martina Di Simplicio. (2019). Mental imagery in psychiatry: conceptual & clinical implications. CNS Spectrums. 24(1). 114–126. 69 indexed citations
17.
Ji, Julie L., Emily A. Holmes, Colin MacLeod, & Fionnuala C. Murphy. (2018). Spontaneous cognition in dysphoria: reduced positive bias in imagining the future. Psychological Research. 83(4). 817–831. 24 indexed citations
18.
Ji, Julie L., Ben Grafton, & Colin MacLeod. (2017). Referential focus moderates depression-linked attentional avoidance of positive information. Behaviour Research and Therapy. 93. 47–54. 19 indexed citations
19.
Renner, Fritz, Julie L. Ji, Arnaud Pictet, Emily A. Holmes, & Simon E. Blackwell. (2016). Effects of Engaging in Repeated Mental Imagery of Future Positive Events on Behavioural Activation in Individuals with Major Depressive Disorder. Cognitive Therapy and Research. 41(3). 369–380. 68 indexed citations
20.
Ji, Julie L., Emily A. Holmes, & Simon E. Blackwell. (2016). Seeing light at the end of the tunnel: Positive prospective mental imagery and optimism in depression. Psychiatry Research. 247. 155–162. 63 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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