Guo Song

705 total citations
44 papers, 501 citations indexed

About

Guo Song is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Guo Song has authored 44 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Clinical Psychology, 16 papers in Experimental and Cognitive Psychology and 10 papers in Cognitive Neuroscience. Recurrent topics in Guo Song's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (14 papers), Mental Health Research Topics (12 papers) and Substance Abuse Treatment and Outcomes (8 papers). Guo Song is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (14 papers), Mental Health Research Topics (12 papers) and Substance Abuse Treatment and Outcomes (8 papers). Guo Song collaborates with scholars based in Singapore, Australia and China. Guo Song's co-authors include Melvyn Zhang, Daniel Fung, Helen Smith, Victoria Manning, Jiangbo Ying, Mythily Subramaniam, Munidasa Winslow, Andrew Y. Ng, Gomathinayagam Kandasami and Chao Xu Peh and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Psychiatry Research and BMJ Open.

In The Last Decade

Guo Song

43 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guo Song Singapore 15 217 121 106 76 74 44 501
Amy M. Loree United States 12 172 0.8× 68 0.6× 110 1.0× 48 0.6× 52 0.7× 36 496
Darren R. Christensen Canada 8 172 0.8× 83 0.7× 90 0.8× 44 0.6× 173 2.3× 19 446
Alexandra R. Hershberger United States 14 228 1.1× 89 0.7× 168 1.6× 31 0.4× 134 1.8× 24 521
Mads Uffe Pedersen Denmark 10 172 0.8× 47 0.4× 114 1.1× 55 0.7× 43 0.6× 44 418
Tashia Petker Canada 10 145 0.7× 91 0.8× 101 1.0× 92 1.2× 145 2.0× 14 440
Jody Kamon United States 11 293 1.4× 47 0.4× 152 1.4× 38 0.5× 49 0.7× 15 555
Donna M. LaPaglia United States 10 131 0.6× 83 0.7× 195 1.8× 37 0.5× 127 1.7× 18 496
Bent Nielsen Denmark 16 314 1.4× 71 0.6× 264 2.5× 59 0.8× 105 1.4× 49 689
Ranne de Waart Netherlands 7 128 0.6× 67 0.6× 250 2.4× 51 0.7× 64 0.9× 8 462
Whitney C. Brown United States 13 310 1.4× 218 1.8× 101 1.0× 35 0.5× 115 1.6× 21 537

Countries citing papers authored by Guo Song

Since Specialization
Citations

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

Fields of papers citing papers by Guo Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guo Song

This figure shows the co-authorship network connecting the top 25 collaborators of Guo Song. A scholar is included among the top collaborators of Guo Song 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 Guo Song. Guo Song 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.
Song, Guo, et al.. (2023). Early onset Parkinson’s disease in the cycle of 3,4-methylenedioxymethamphetamine and substance use: a case report. Journal of Medical Case Reports. 17(1). 405–405. 1 indexed citations
2.
Zhang, Melvyn, et al.. (2019). Co-designing a Mobile Gamified Attention Bias Modification Intervention for Substance Use Disorders: Participatory Research Study. JMIR mhealth and uhealth. 7(10). e15871–e15871. 19 indexed citations
3.
4.
Zhang, Melvyn, et al.. (2019). A Smartphone Attention Bias App for Individuals With Addictive Disorders: Feasibility and Acceptability Study. JMIR mhealth and uhealth. 7(9). e15465–e15465. 14 indexed citations
5.
Zhang, Melvyn, Jiangbo Ying, Guo Song, Daniel Fung, & Helen Smith. (2019). Web-Based Cognitive Bias Modification Interventions for Psychiatric Disorders: Scoping Review. JMIR Mental Health. 6(10). e11841–e11841. 11 indexed citations
6.
Zhang, Melvyn, et al.. (2019). Codesigning a mobile gamified attention bias modification intervention: research protocol. BMJ Open. 9(10). e031897–e031897. 2 indexed citations
7.
Zhang, Melvyn, et al.. (2018). A Smartphone Attention Bias Intervention for Individuals With Addictive Disorders: Protocol for a Feasibility Study. JMIR Research Protocols. 7(11). e11822–e11822. 5 indexed citations
8.
Zhang, Melvyn, Jiangbo Ying, Guo Song, Daniel Fung, & Helen Smith. (2018). Mobile Phone Cognitive Bias Modification Research Platform for Substance Use Disorders: Protocol for a Feasibility Study. JMIR Research Protocols. 7(6). e153–e153. 6 indexed citations
9.
Zhang, Melvyn, Jiangbo Ying, Guo Song, Daniel Fung, & Helen Smith. (2018). Gamified Cognitive Bias Modification Interventions for Psychiatric Disorders: Review. JMIR Mental Health. 5(4). e11640–e11640. 27 indexed citations
10.
Zhang, Melvyn, Jiangbo Ying, Guo Song, et al.. (2018). Attention Bias in Individuals with Addictive Disorders: Systematic Review Protocol. JMIR Research Protocols. 7(2). e41–e41. 7 indexed citations
11.
Zhang, Melvyn, Jiangbo Ying, Guo Song, Daniel Fung, & Helen Smith. (2018). Web-Based Cognitive Bias Intervention for Psychiatric Disorders: Protocol for a Systematic Review. JMIR Research Protocols. 7(8). e10427–e10427. 1 indexed citations
12.
Zhang, Melvyn, Jiangbo Ying, Guo Song, Daniel Fung, & Helen Smith. (2018). Attention and Cognitive Bias Modification Apps: Review of the Literature and of Commercially Available Apps. JMIR mhealth and uhealth. 6(5). e10034–e10034. 38 indexed citations
13.
Song, Guo, Victoria Manning, Edwin SY Chan, et al.. (2018). Lofexidine versus diazepam for the treatment of opioid withdrawal syndrome: A double-blind randomized clinical trial in Singapore. Journal of Substance Abuse Treatment. 91. 1–11. 15 indexed citations
14.
Peh, Chao Xu, et al.. (2017). Adverse childhood experiences and illicit drug use in adolescents: Findings from a national addictions treatment population in Singapore. Journal of Substance Use. 23(1). 86–91. 19 indexed citations
15.
Peh, Chao Xu, et al.. (2017). Violence, Delinquent Behaviors, and Drug Use Disorders Among Adolescents From an Addiction-Treatment Sample. Journal of Child & Adolescent Substance Abuse. 26(6). 463–471. 8 indexed citations
16.
Manning, Victoria, et al.. (2016). Neurocognitive Functioning and Treatment Outcome Following Detoxification Among Asian Alcohol-Dependent Inpatients. Substance Use & Misuse. 51(2). 193–205. 11 indexed citations
17.
Manning, Victoria, et al.. (2014). Suicidal ideation and lifetime attempts in substance and gambling disorders. Psychiatry Research. 225(3). 706–709. 35 indexed citations
18.
Song, Guo. (2013). Performance Appraisal and Justice Administration. 1 indexed citations
19.
Manning, Victoria, et al.. (2011). Stress-coping morbidity among family members of addiction patients in Singapore. Drug and Alcohol Review. 30(4). 441–447. 35 indexed citations
20.
Winslow, Munidasa, et al.. (2006). Socio-demographic Profile and Help-seeking Behaviour of Buprenorphine Abusers in Singapore. Annals of the Academy of Medicine Singapore. 35(7). 451–456. 21 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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