G
Gordon Parker
High Impact
Researcher
faculty
110 h-index
1269 pubs
48,175 cited
Research Areas
Links
Biography and Research Information
Metrics
- h-index: 110
- Publications: 1269
- Citations: 48,175
Selected Publications
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Current issues in relation to burnout’s definition, measurement, prevalence and management: A narrative review (2025)
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Antibiomania: An update (2025)
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BBO-10203 inhibits tumor growth without inducing hyperglycemia by blocking RAS-PI3Kα interaction (2025)
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A review of longitudinal studies assessing personality and burnout (2025)
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On the Origins of MAOI Misconceptions: Reaffirming their Role in Melancholic Depression (2025)
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Journeying with a bipolar disorder: The quest plot (2024)
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A revisionist model for treatment-resistant and difficult-to-treat depression (2024)
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Differentiating ‘pure’ and comorbid self-identified burnout: Diagnostic and management implications (2024)
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Does theta burst stimulation have differential benefit for those with melancholic or non-melancholic depression? (2024)
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A naturalistic effectiveness study of maintenance therapies for the bipolar disorders (2023)
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Australian dental practitioners experience of burnout (2023)
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ADDing up? (2023)
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Impact of mood stabilizers on creativity (2023)
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Peripheral inflammatory markers in melancholic versus non-melancholic depression (2023)
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A chat about bipolar disorder (2023)
Collaboration Network
Top Collaborators
Gabriela Tavella
UNSW Sydney (AU)
17 shared publications
- The biology of burnout: Causes and consequences
- Burnout: Redefining its key symptoms
- Burnout and depression: Points of convergence and divergence
- A Single-Blind Randomized Comparison of Lithium and Lamotrigine as Maintenance Treatments for Managing Bipolar II Disorder
- Burnout: a case for its formal inclusion in classification systems
Showing 5 of 17 shared publications
Michael J. Spoelma
Black Dog Institute (AU)
13 shared publications
- Faecal microbiota transplantation for bipolar disorder: A detailed case study
- Differentiation of bipolar disorder versus borderline personality disorder: A machine learning approach
- Differentiating melancholic and non-melancholic depression via biological markers: A review
- Why might bipolar disorder and borderline personality disorder be bonded?
- A chat about bipolar disorder
Showing 5 of 13 shared publications
Adam Bayes
UNSW Sydney (AU)
10 shared publications
- The biology of burnout: Causes and consequences
- Burnout and depression: Points of convergence and divergence
- Differentiation of bipolar disorder versus borderline personality disorder: A machine learning approach
- Why might bipolar disorder and borderline personality disorder be bonded?
- Comorbid bipolar disorder and borderline personality disorder: Diagnosis using machine learning
Showing 5 of 10 shared publications
Dušan Hadži-Pavlović
UNSW Sydney (AU)
5 shared publications
- Burnout: Redefining its key symptoms
- Burnout and depression: Points of convergence and divergence
- Differentiation of bipolar disorder versus borderline personality disorder: A machine learning approach
- A Single-Blind Randomized Comparison of Lithium and Lamotrigine as Maintenance Treatments for Managing Bipolar II Disorder
- Modelling self-diagnosed burnout as a categorical syndrome
Vijaya Manicavasagar
Black Dog Institute (AU)
4 shared publications
- Burnout and depression: Points of convergence and divergence
- A new machine learning-derived screening measure for differentiating bipolar from unipolar mood disorders
- Modelling self-diagnosed burnout as a categorical syndrome
- Categorical differentiation of the unipolar and bipolar disorders
MS Hopcraft
University of Melbourne (AU)
4 shared publications
- Factors associated with suicidal ideation and suicide attempts by Australian dental practitioners
- Mental health, psychological distress and burnout in Australian dental practitioners
- Exploring the validity of the Sydney Burnout Measure
- Australian dental practitioners experience of burnout
Martin Alda
National Institute of Mental Health (CZ)
3 shared publications
- The clinical characterization of the adult patient with bipolar disorder aimed at personalization of management
- A new machine learning-derived screening measure for differentiating bipolar from unipolar mood disorders
- Categorical differentiation of the unipolar and bipolar disorders
Janusz Rybakowski
Poznan University of Medical Sciences (PL)
3 shared publications
- Expert consensus recommendations on the use of randomized clinical trials for drug approval in psychiatry- comparing trial designs
- A new machine learning-derived screening measure for differentiating bipolar from unipolar mood disorders
- Categorical differentiation of the unipolar and bipolar disorders
Philip Boyce
Therapeutic Guidelines (AU)
3 shared publications
- Guidelines for the management of psychosis in the context of mood disorders
- A new machine learning-derived screening measure for differentiating bipolar from unipolar mood disorders
- Categorical differentiation of the unipolar and bipolar disorders
Michael Berk
Orygen Youth Health (AU)
3 shared publications
- The clinical characterization of the adult patient with bipolar disorder aimed at personalization of management
- The prescriber’s guide to classic MAO inhibitors (phenelzine, tranylcypromine, isocarboxazid) for treatment-resistant depression
- Expert consensus recommendations on the use of randomized clinical trials for drug approval in psychiatry- comparing trial designs
Artin Jebejian
St Vincent’s Private Hospital Sydney (AU)
3 shared publications
- Burnout and depression: Points of convergence and divergence
- Modelling self-diagnosed burnout as a categorical syndrome
- A naturalistic effectiveness study of maintenance therapies for the bipolar disorders
Nicole Stormon
Queensland Health (AU)
3 shared publications
- Factors associated with suicidal ideation and suicide attempts by Australian dental practitioners
- Mental health, psychological distress and burnout in Australian dental practitioners
- Australian dental practitioners experience of burnout
David L. Dünner
University of Washington (US)
2 shared publications
- A new machine learning-derived screening measure for differentiating bipolar from unipolar mood disorders
- Categorical differentiation of the unipolar and bipolar disorders
Claire O’Donovan
Dalhousie University (CA)
2 shared publications
- A new machine learning-derived screening measure for differentiating bipolar from unipolar mood disorders
- Categorical differentiation of the unipolar and bipolar disorders
Joseph F. Goldberg
Icahn School of Medicine at Mount Sinai (US)
2 shared publications
- Expert consensus recommendations on the use of randomized clinical trials for drug approval in psychiatry- comparing trial designs
- Categorical differentiation of the unipolar and bipolar disorders