Susan Rotzinger

4.5k total citations
90 papers, 2.3k citations indexed

About

Susan Rotzinger is a scholar working on Pharmacology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Susan Rotzinger has authored 90 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Pharmacology, 32 papers in Cognitive Neuroscience and 31 papers in Experimental and Cognitive Psychology. Recurrent topics in Susan Rotzinger's work include Treatment of Major Depression (40 papers), Mental Health Research Topics (30 papers) and Functional Brain Connectivity Studies (27 papers). Susan Rotzinger is often cited by papers focused on Treatment of Major Depression (40 papers), Mental Health Research Topics (30 papers) and Functional Brain Connectivity Studies (27 papers). Susan Rotzinger collaborates with scholars based in Canada, United States and Ireland. Susan Rotzinger's co-authors include Christine Pesold, Dallas Treit, David A. Lovejoy, Franco J. Vaccarino, Sidney H. Kennedy, Laura A. Tan, Jian Fang, Christopher C. Hanstock, Jane A. Foster and Roumen Milev and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biological Psychiatry.

In The Last Decade

Susan Rotzinger

86 papers receiving 2.2k citations

Peers

Susan Rotzinger
Becky Kinkead United States
Helen Miller United States
David Nutt United Kingdom
Fokko J. Bosker Netherlands
Zoë A. Hughes United States
Earle Bain United States
Alessandro Colasanti United Kingdom
Becky Kinkead United States
Susan Rotzinger
Citations per year, relative to Susan Rotzinger Susan Rotzinger (= 1×) peers Becky Kinkead

Countries citing papers authored by Susan Rotzinger

Since Specialization
Citations

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

Fields of papers citing papers by Susan Rotzinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Rotzinger

This figure shows the co-authorship network connecting the top 25 collaborators of Susan Rotzinger. A scholar is included among the top collaborators of Susan Rotzinger 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 Susan Rotzinger. Susan Rotzinger 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.
Mazurka, Raegan, Stefanie Hassel, Jordan Poppenk, et al.. (2025). Latent Profile Analysis of Childhood Maltreatment and Neural Markers in Depression. JAMA Network Open. 8(8). e2525147–e2525147.
2.
Davis, Andrew D., Gésine L. Alders, Glenda MacQueen, et al.. (2024). Assessing remission in major depressive disorder using a functional-structural data fusion pipeline: A CAN-BIND-1 study. IBRO Neuroscience Reports. 16. 135–146. 2 indexed citations
3.
Harkness, Kate L., Trisha Chakrabarty, Sakina J. Rizvi, et al.. (2023). The Differential Relation of Emotional, Physical, and Sexual Abuse Histories to Antidepressant Treatment Remission and Persistence of Anhedonia in Major Depression: A CAN-BIND-1 Report. The Canadian Journal of Psychiatry. 68(8). 586–595. 3 indexed citations
4.
Frey, Benício N., Roumen Milev, Arun Ravindran, et al.. (2023). The course of insomnia symptoms during the acute treatment of major depressive disorder: A CAN-BIND-1 report. Psychiatry Research. 325. 115222–115222. 1 indexed citations
5.
Rnic, Katerina, Joelle LeMoult, Ivan J. Torres, et al.. (2023). Predicting recurrence of major depressive episodes using the Depression Implicit Association Test: A Canadian biomarker integration network in depression (CAN-BIND) report. Psychiatry Research. 330. 115606–115606. 2 indexed citations
6.
Morton, Emma, Yang S. Liu, Bo Cao, et al.. (2023). Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder. The Journal of Clinical Psychiatry. 85(1). 1 indexed citations
7.
Dhami, Prabhjot, Lena C. Quilty, Rudolf Uher, et al.. (2022). Response Inhibition and Predicting Response to Pharmacological and Cognitive Behavioral Therapy Treatments for Major Depressive Disorder: A Canadian Biomarker Integration Network for Depression Study. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 8(2). 162–170. 6 indexed citations
8.
Frey, Benício N., Roumen Milev, Arun Ravindran, et al.. (2022). Rhythmicity of sleep and clinical outcomes in major depressive disorder: A CAN-BIND-1 report. Journal of Affective Disorders Reports. 9. 100370–100370. 1 indexed citations
9.
Diep, Calvin, Wiebke Gandhi, Carien M. van Reekum, et al.. (2022). Pain severity and pain interference during major depressive episodes treated with escitalopram and aripiprazole adjunctive therapy: a CAN-BIND-1 report. Psychiatry Research. 312. 114557–114557. 3 indexed citations
10.
Frey, Benício N., Roumen Milev, Arun Ravindran, et al.. (2022). Pretreatment anxious depression as a predictor of side effect frequency and severity in escitalopram and aripiprazole adjunctive therapy. Brain and Behavior. 12(5). e2555–e2555. 6 indexed citations
11.
Caspani, Giorgia, Gustavo Turecki, Raymond W. Lam, et al.. (2021). Metabolomic signatures associated with depression and predictors of antidepressant response in humans: A CAN-BIND-1 report. Communications Biology. 4(1). 903–903. 22 indexed citations
12.
Fiori, Laura M., Massimiliano Orri, Zahia Aouabed, et al.. (2021). Treatment-emergent and trajectory-based peripheral gene expression markers of antidepressant response. Translational Psychiatry. 11(1). 439–439. 4 indexed citations
13.
Morton, Emma, Venkat Bhat, Peter Giacobbe, et al.. (2021). Impacts on Quality of Life with Escitalopram Monotherapy and Aripiprazole Augmentation in Patients with Major Depressive Disorder: A CAN-BIND Report. Pharmacopsychiatry. 54(5). 225–231. 4 indexed citations
14.
Harris, Jacqueline K., Stefanie Hassel, Andrew D. Davis, et al.. (2021). Baseline Functional Connectivity in Resting State Networks Associated with Depression and Remission Status after 16 Weeks of Pharmacotherapy: A CAN-BIND Report. Cerebral Cortex. 32(6). 1223–1243. 11 indexed citations
16.
Davis, Andrew D., Stefanie Hassel, Stephen R. Arnott, et al.. (2019). White Matter Indices of Medication Response in Major Depression: A Diffusion Tensor Imaging Study. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 4(10). 913–924. 35 indexed citations
17.
Maciukiewicz, Małgorzata, Victoria Marshe, Arun K. Tiwari, et al.. (2017). Genome-wide association studies of placebo and duloxetine response in major depressive disorder. The Pharmacogenomics Journal. 18(3). 406–412. 18 indexed citations
18.
Fiori, Laura M., Juan Pablo López, Stéphane Richard‐Devantoy, et al.. (2017). Investigation of miR-1202, miR-135a, and miR-16 in Major Depressive Disorder and Antidepressant Response. The International Journal of Neuropsychopharmacology. 20(8). 619–623. 54 indexed citations
19.
Rizvi, Sakina J., Etienne A. Grima, Mary Tan, et al.. (2014). Treatment-Resistant Depression in Primary Care across Canada. The Canadian Journal of Psychiatry. 59(7). 349–357. 116 indexed citations
20.
Kennedy, Sidney H., Jonathan Downar, Kenneth Evans, et al.. (2012). The Canadian Biomarker Integration Network in Depression (CAN-BIND): Advances in Response Prediction. Current Pharmaceutical Design. 18(36). 5976–5989. 47 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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