ORCID as entered in ROS

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2006, 'The mu-opioid receptor polymorphism A118G predicts cortisol responses to naloxone and stress', Neuropsychopharmacology, 31, pp. 204 - 211, http://dx.doi.org/10.1038/sj.npp.1300856
,2006, 'P1–330: Large scale candidate gene association studies in Alzheimer's disease', Alzheimer's & Dementia, 2, http://dx.doi.org/10.1016/j.jalz.2006.05.708
,2005, 'Assessment of the effect of age at onset on linkage to bipolar disorder: Evidence on chromosomes 18p and 21q', American Journal of Human Genetics, 77, pp. 545 - 555, http://dx.doi.org/10.1086/491602
,2013, 'Development of sports center construction indicators', in Meen TH; Prior SD; Lam ADKT (eds.), INNOVATION, COMMUNICATION AND ENGINEERING, CRC PRESS-TAYLOR & FRANCIS GROUP, PEOPLES R CHINA, Qingdao, pp. 793 - 796, presented at 2nd International Conference on Innovation, Communication and Engineering (ICICE), PEOPLES R CHINA, Qingdao, 26 October 2013 - 01 November 2013, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000337300500191&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
,2013, 'Study of green building indicators in Taiwan sport stadiums', in Meen TH; Prior SD; Lam ADKT (eds.), INNOVATION, COMMUNICATION AND ENGINEERING, CRC PRESS-TAYLOR & FRANCIS GROUP, PEOPLES R CHINA, Qingdao, pp. 475 - 477, presented at 2nd International Conference on Innovation, Communication and Engineering (ICICE), PEOPLES R CHINA, Qingdao, 26 October 2013 - 01 November 2013, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000337300500116&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
,2009, 'NRXN3, A NOVEL RISK GENE FOR SCHIZOPHRENIA', in SCHIZOPHRENIA BULLETIN, OXFORD UNIV PRESS, CA, San Diego, pp. 126 - 126, presented at 12th International Congress on Schizophrenia Research, CA, San Diego, 28 March 2009 - 01 April 2009, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000263964700368&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
,2008, 'Effect of dopamine transporter VNTR polymorphism on prepulse inhibition in schizophrenia', in BIOLOGICAL PSYCHIATRY, ELSEVIER SCIENCE INC, DC, Washington, pp. 273S - 273S, presented at 63rd Annual Convention of the Society-of-Biological-Psychiatry, DC, Washington, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000254163700870&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
,2008, 'Genetic influences on reinforcement learning performance in Schizophrenia', in BIOLOGICAL PSYCHIATRY, ELSEVIER SCIENCE INC, DC, Washington, pp. 267S - 267S, presented at 63rd Annual Convention of the Society-of-Biological-Psychiatry, DC, Washington, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000254163700848&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
,2008, 'Predictive pursuit phenotype: Gene association and expression studies', in BIOLOGICAL PSYCHIATRY, ELSEVIER SCIENCE INC, DC, Washington, pp. 138S - 138S, presented at 63rd Annual Convention of the Society-of-Biological-Psychiatry, DC, Washington, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000254163700440&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
,2022, 'EXPLORING THE MODIFIERS FOR THE EFFECT OF NEURODEVELOPMENTAL DISORDERS ON THE RISK OF BULLYING VICTIMISATION', in AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY, SAGE PUBLICATIONS LTD, Vol. 56, pp. 170 - 170, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000792769900404&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
,2025, Gender Differences in Cannabis as a Mediator Between Distress Factors and Non-Fatal Suicidal Behaviors, http://dx.doi.org/10.21203/rs.3.rs-5843916/v1
,2023, Examining the Feasibility of Implementing Digital Mental Health Innovations Into Hospitals to Support Youth in Suicide Crisis: Interview Study With Young People and Health Professionals (Preprint), http://dx.doi.org/10.2196/preprints.51398
,2023, Evaluating the role of visual attention bias in emotion dysregulation of young children, http://dx.doi.org/10.31234/osf.io/p97jb
,2023, Factors Associated with Extended Length of Stay for Paediatric Mental Health Presentations to Emergency Departments in South Western Sydney, Australia, http://dx.doi.org/10.20944/preprints202302.0008.v1
,2022, Screening for Media Use in the Emergency Department Among Young Australians: Cross-sectional Study (Preprint), http://dx.doi.org/10.2196/preprints.42986
,2022, Increased ambulance attendances related to suicide and self-injury in response to the pandemic in Australia, http://dx.doi.org/10.1101/2022.05.29.22273082
,2022, Signal from Noise: Using Machine Learning to Distil Knowledge from Data in Biological Psychiatry, http://dx.doi.org/10.31234/osf.io/dz7gt
,2021, A Cross-sectional Examination of the Association Between Parental Distress and the Well-being of Children With Neurodevelopmental Disorders During the COVID-19 Pandemic, http://dx.doi.org/10.21203/rs.3.rs-821990/v1
,2021, Exploring Polygenic Contributors to Subgroups of Comorbid Conditions in Atism Spectrum Disorder, http://dx.doi.org/10.21203/rs.3.rs-864669/v1
,2021, Exploring Polygenic Contributors To Subgroups of Comorbid Conditions In Autism Spectrum Disorder, http://dx.doi.org/10.21203/rs.3.rs-948090/v1
,2020, Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development (Preprint), http://dx.doi.org/10.2196/preprints.25884
,2020, Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data, http://dx.doi.org/10.2196/25884
,2020, Time Trends of the Public’s Attention Toward Suicide During the COVID-19 Pandemic: Retrospective, Longitudinal Time-Series Study (Preprint), http://dx.doi.org/10.2196/preprints.24694
,2020, Divide and Conquer: Clustering Patients With Autism by Gene Expression Profiles Using Machine Learning Algorithms, http://dx.doi.org/10.21203/rs.3.rs-87427/v1
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