Micah Cearns

771 total citations
11 papers, 228 citations indexed

About

Micah Cearns is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, Micah Cearns has authored 11 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 4 papers in Experimental and Cognitive Psychology and 3 papers in Psychiatry and Mental health. Recurrent topics in Micah Cearns's work include Functional Brain Connectivity Studies (4 papers), Mental Health Research Topics (4 papers) and Stress Responses and Cortisol (2 papers). Micah Cearns is often cited by papers focused on Functional Brain Connectivity Studies (4 papers), Mental Health Research Topics (4 papers) and Stress Responses and Cortisol (2 papers). Micah Cearns collaborates with scholars based in Australia, Germany and Japan. Micah Cearns's co-authors include Bernhard T. Baune, Tim Hahn, Scott R. Clark, Udo Dannlowski, Nils Opel, Klaus Berger, Heike Minnerup, Nils R. Winter, Ramona Leenings and Bernhard T. Baune and has published in prestigious journals such as Psychological Medicine, Neuropsychopharmacology and Molecular Psychiatry.

In The Last Decade

Micah Cearns

11 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Micah Cearns Australia 7 87 82 40 35 33 11 228
Kathryn Edelman United States 7 149 1.7× 78 1.0× 73 1.8× 20 0.6× 29 0.9× 9 334
Massimiliano Grassi Italy 10 82 0.9× 108 1.3× 156 3.9× 64 1.8× 24 0.7× 24 403
Gülay Taşçı Türkiye 10 81 0.9× 41 0.5× 31 0.8× 36 1.0× 28 0.8× 33 263
Yu Shimizu Japan 6 149 1.7× 101 1.2× 25 0.6× 19 0.5× 14 0.4× 9 251
Mariane Bagatin Bermúdez Brazil 9 56 0.6× 54 0.7× 133 3.3× 15 0.4× 34 1.0× 11 320
Valentina Pugliese Italy 8 62 0.7× 43 0.5× 87 2.2× 18 0.5× 15 0.5× 13 272
Kyosuke Sawada Japan 9 89 1.0× 97 1.2× 109 2.7× 12 0.3× 15 0.5× 13 315
Myriam Tanguay-Sela Canada 5 49 0.6× 68 0.8× 27 0.7× 14 0.4× 35 1.1× 7 166
Jennifer R. Gowins United States 8 240 2.8× 192 2.3× 33 0.8× 9 0.3× 23 0.7× 8 327
Hajime Tabuchi Japan 11 89 1.0× 38 0.5× 110 2.8× 15 0.4× 13 0.4× 47 363

Countries citing papers authored by Micah Cearns

Since Specialization
Citations

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

Fields of papers citing papers by Micah Cearns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Micah Cearns

This figure shows the co-authorship network connecting the top 25 collaborators of Micah Cearns. A scholar is included among the top collaborators of Micah Cearns 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 Micah Cearns. Micah Cearns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
2.
Knight, Matthew J., Célia Fourrier, Hikaru Hori, et al.. (2023). Cognitive improvement in patients with major depressive disorder after personalised multi domain training in the CERT-D study. Psychiatry Research. 330. 115590–115590. 1 indexed citations
3.
Hartmann, Simon, Micah Cearns, Christos Pantelis, et al.. (2023). Combining Clinical With Cognitive or Magnetic Resonance Imaging Data for Predicting Transition to Psychosis in Ultra High-Risk Patients: Data From the PACE 400 Cohort. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 9(4). 417–428. 1 indexed citations
4.
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Knight, Matthew J., Célia Fourrier, Hikaru Hori, et al.. (2021). Psychological training to improve psychosocial function in patients with major depressive disorder: A randomised clinical trial. Psychiatry Research. 300. 113906–113906. 8 indexed citations
6.
Flint, Claas, Micah Cearns, Nils Opel, et al.. (2021). Systematic misestimation of machine learning performance in neuroimaging studies of depression. Neuropsychopharmacology. 46(8). 1510–1517. 62 indexed citations
7.
Winter, Nils R., Micah Cearns, Scott R. Clark, et al.. (2021). From multivariate methods to an AI ecosystem. Molecular Psychiatry. 26(11). 6116–6120. 9 indexed citations
8.
Davey, Christopher G., Micah Cearns, Alec J. Jamieson, & Ben J. Harrison. (2021). Suppressed activity of the rostral anterior cingulate cortex as a biomarker for depression remission. Psychological Medicine. 53(6). 2448–2455. 8 indexed citations
9.
Cearns, Micah, Tim Hahn, & Bernhard T. Baune. (2019). Recommendations and future directions for supervised machine learning in psychiatry. Translational Psychiatry. 9(1). 271–271. 71 indexed citations
10.
Cearns, Micah, Nils Opel, Scott R. Clark, et al.. (2019). Predicting rehospitalization within 2 years of initial patient admission for a major depressive episode: a multimodal machine learning approach. Translational Psychiatry. 9(1). 285–285. 25 indexed citations
11.
Opel, Nils, Micah Cearns, Scott R. Clark, et al.. (2019). Large-scale evidence for an association between low-grade peripheral inflammation and brain structural alterations in major depression in the BiDirect study. Journal of Psychiatry and Neuroscience. 44(6). 423–431. 35 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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2026