Connie Markulev

1.3k total citations
38 papers, 646 citations indexed

About

Connie Markulev is a scholar working on Psychiatry and Mental health, Clinical Psychology and Biological Psychiatry. According to data from OpenAlex, Connie Markulev has authored 38 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Psychiatry and Mental health, 10 papers in Clinical Psychology and 9 papers in Biological Psychiatry. Recurrent topics in Connie Markulev's work include Schizophrenia research and treatment (17 papers), Tryptophan and brain disorders (9 papers) and Diet and metabolism studies (8 papers). Connie Markulev is often cited by papers focused on Schizophrenia research and treatment (17 papers), Tryptophan and brain disorders (9 papers) and Diet and metabolism studies (8 papers). Connie Markulev collaborates with scholars based in Australia, United Kingdom and Netherlands. Connie Markulev's co-authors include Patrick D. McGorry, Gregor Berger, G. Paul Amminger, Barnaby Nelson, Hok Pan Yuen, Alison R. Yung, Merete Nordentoft, Dorien H. Nieman, Eric Chen and Swapna Verma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biological Psychiatry and Journal of the American Academy of Child & Adolescent Psychiatry.

In The Last Decade

Connie Markulev

34 papers receiving 641 citations

Peers

Connie Markulev
Connie Markulev
Citations per year, relative to Connie Markulev Connie Markulev (= 1×) peers Tina‐Marie Proffitt

Countries citing papers authored by Connie Markulev

Since Specialization
Citations

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

Fields of papers citing papers by Connie Markulev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connie Markulev

This figure shows the co-authorship network connecting the top 25 collaborators of Connie Markulev. A scholar is included among the top collaborators of Connie Markulev 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 Connie Markulev. Connie Markulev 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.
Tagliaferri, Scott D., Laura K. M. Han, Connie Markulev, et al.. (2025). Systematic Review and Meta-Analysis: Predictors of Relapsing, Recurrent, and Chronic Depression in Young People. Journal of the American Academy of Child & Adolescent Psychiatry. 65(2). 206–230.
2.
Paulik, Geòrgie, Laura S. van Velzen, Christopher Lee, et al.. (2023). Urgent call for research into imagery rescripting to reduce suicidal mental imagery: clinical research considerations. Australian Psychologist. 59(1). 15–23. 3 indexed citations
4.
Jack, Bradley N., Andrea Polari, Ayaka Ando, et al.. (2019). Frontal slow wave resting EEG power is higher in individuals at Ultra High Risk for psychosis than in healthy controls but is not associated with negative symptoms or functioning. Schizophrenia Research. 208. 293–299. 6 indexed citations
5.
Amminger, G. Paul, Barnaby Nelson, Connie Markulev, et al.. (2019). The NEURAPRO Biomarker Analysis: Long-Chain Omega-3 Fatty Acids Improve 6-Month and 12-Month Outcomes in Youths at Ultra-High Risk for Psychosis. Biological Psychiatry. 87(3). 243–252. 42 indexed citations
6.
Polari, Andrea, Suzie Lavoie, Hok Pan Yuen, et al.. (2018). Clinical Prediction Besides Transition to Psychosis in the Ultra-High Risk for Psychosis Population. Early Intervention in Psychiatry. 12. 2 indexed citations
7.
Polari, Andrea, Suzie Lavoie, G. Paul Amminger, et al.. (2018). Clinical trajectories in the ultra-high risk for psychosis population. Schizophrenia Research. 197. 550–556. 47 indexed citations
8.
Berger, Maximus, Suzie Lavoie, Patrick D. McGorry, et al.. (2018). S8. RELATIONSHIP BETWEEN ALLOSTATIC LOAD AND POOR FUNCTIONAL CAPACITY IN YOUTH AT ULTRA-HIGH RISK FOR PSYCHOSIS. Schizophrenia Bulletin. 44(suppl_1). S326–S327.
9.
McHugh, Meredith, Patrick D. McGorry, Hok Pan Yuen, et al.. (2017). The Ultra-High-Risk for psychosis groups: Evidence to maintain the status quo. Schizophrenia Research. 195. 543–548. 30 indexed citations
10.
Lavoie, Suzie, Bradley N. Jack, Oren Griffiths, et al.. (2017). Impaired mismatch negativity to frequency deviants in individuals at ultra-high risk for psychosis, and preliminary evidence for further impairment with transition to psychosis. Schizophrenia Research. 191. 95–100. 28 indexed citations
11.
Bendall, Sarah, Barnaby Nelson, Andrew Thompson, et al.. (2016). Trauma, Stress Reactivity and Prediction of Outcome in the Ultra High Risk Population: Data from the Neurapro-E Study. Early Intervention in Psychiatry. 10. 1 indexed citations
12.
McGorry, Patrick D., Connie Markulev, Barnaby Nelson, et al.. (2015). THE NEURAPRO-E STUDY: A MULTICENTER RCT OF OMEGA-3 FATTY ACIDS AND COGNITIVE-BEHAVIOURAL CASE MANAGEMENT FOR PATIENTS AT ULTRA HIGH RISK OF SCHIZOPHRENIA AND OTHER PSYCHOTIC DISORDERS. Schizophrenia Bulletin. 1 indexed citations
13.
Allott, Kelly, Marta Rapado‐Castro, Tina‐Marie Proffitt, et al.. (2014). The impact of neuropsychological functioning and coping style on perceived stress in individuals with first-episode psychosis and healthy controls. Psychiatry Research. 226(1). 128–135. 3 indexed citations
14.
Reniers, Renate, Belinda Garner, Christina Phassouliotis, et al.. (2014). The relationship between stress, HPA axis functioning and brain structure in first episode psychosis over the first 12 weeks of treatment. Psychiatry Research Neuroimaging. 231(2). 111–119. 8 indexed citations
15.
Allott, Kelly, Hok Pan Yuen, Belinda Garner, et al.. (2012). Relationship between vocational status and perceived stress and daily hassles in first-episode psychosis: an exploratory study. Social Psychiatry and Psychiatric Epidemiology. 48(7). 1045–1052. 8 indexed citations
16.
Bartholomeusz, Cali F., Tina Proffitt, Greg Savage, et al.. (2011). Relational Memory in First Episode Psychosis: Implications for Progressive Hippocampal Dysfunction After Illness Onset. Australian & New Zealand Journal of Psychiatry. 45(3). 206–213. 17 indexed citations
17.
Garner, Belinda, Christina Phassouliotis, Lisa Phillips, et al.. (2010). Cortisol and dehydroepiandrosterone-sulphate levels correlate with symptom severity in first-episode psychosis. Journal of Psychiatric Research. 45(2). 249–255. 2 indexed citations
18.
Garner, Belinda, Gregor Berger, Andrew Mackinnon, et al.. (2009). Pituitary volume and early treatment response in drug-naïve first-episode psychosis patients. Schizophrenia Research. 113(1). 65–71. 30 indexed citations
19.
Kerr, Melissa, Sue Cotton, Tina Proffitt, et al.. (2008). The topical niacin sensitivity test: An inter- and intra-rater reliability study in healthy controls. Prostaglandins Leukotrienes and Essential Fatty Acids. 79(1-2). 15–19. 5 indexed citations
20.
Markulev, Connie, et al.. (2005). Spatio‐temporal selectivity of loss of colour and luminance contrast sensitivity with multiple sclerosis and optic neuritis. Ophthalmic and Physiological Optics. 25(1). 57–65. 14 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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