Deanna Barch

925 total citations
18 papers, 653 citations indexed

About

Deanna Barch is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Deanna Barch has authored 18 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 8 papers in Psychiatry and Mental health and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Deanna Barch's work include Schizophrenia research and treatment (7 papers), Memory and Neural Mechanisms (4 papers) and Functional Brain Connectivity Studies (4 papers). Deanna Barch is often cited by papers focused on Schizophrenia research and treatment (7 papers), Memory and Neural Mechanisms (4 papers) and Functional Brain Connectivity Studies (4 papers). Deanna Barch collaborates with scholars based in United States, United Kingdom and Netherlands. Deanna Barch's co-authors include Michael Strube, Yu Sun Chung, Todd S. Braver, Douglas S. Mennin, Gregory C. Burgess, Alexandre Schaefer, Jeremy R. Gray, Christina L. Fales, Andrew Westbrook and Adam J. Culbreth and has published in prestigious journals such as NeuroImage, Biological Psychiatry and Journal of Abnormal Psychology.

In The Last Decade

Deanna Barch

17 papers receiving 641 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deanna Barch United States 8 451 213 201 148 70 18 653
Susan Gabrieli United States 4 572 1.3× 205 1.0× 96 0.5× 149 1.0× 89 1.3× 6 759
Benedikt Reuter Germany 17 675 1.5× 256 1.2× 213 1.1× 209 1.4× 75 1.1× 40 946
Yi Dong China 16 403 0.9× 184 0.9× 198 1.0× 181 1.2× 72 1.0× 28 660
Nuria Doñamayor Germany 15 482 1.1× 166 0.8× 115 0.6× 95 0.6× 91 1.3× 22 685
Anita Must Hungary 12 331 0.7× 152 0.7× 156 0.8× 105 0.7× 45 0.6× 28 607
Georg Groen Germany 11 291 0.6× 153 0.7× 172 0.9× 218 1.5× 72 1.0× 20 561
Kristen J. Prentice United States 7 306 0.7× 197 0.9× 326 1.6× 77 0.5× 41 0.6× 10 585
Samantha V. Abram United States 15 310 0.7× 174 0.8× 206 1.0× 126 0.9× 102 1.5× 30 630
Adrienne L. Romer United States 14 329 0.7× 285 1.3× 178 0.9× 347 2.3× 65 0.9× 22 750
Larissa Wolkenstein Germany 16 395 0.9× 247 1.2× 297 1.5× 340 2.3× 132 1.9× 35 899

Countries citing papers authored by Deanna Barch

Since Specialization
Citations

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

Fields of papers citing papers by Deanna Barch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deanna Barch

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

All Works

18 of 18 papers shown
1.
Hoyniak, Caroline P., Meghan Rose Donohue, Rebecca Tillman, et al.. (2025). The Temporal Dynamics of Sleep Disturbances, Depression, and Self-Injurious Thoughts and Behaviors in Preadolescents: A Year-Long Intensive Longitudinal Study. Research on Child and Adolescent Psychopathology. 53(8). 1169–1183.
2.
Luby, Joan L., Sarah K. England, Deanna Barch, et al.. (2022). Effects of Maternal Disadvantage on Gestational Age and Birthweight Accounting for Maternal Health and Psychosocial Stress. SSRN Electronic Journal. 1 indexed citations
3.
Perino, Michael T., Michael J. Myers, Muriah D. Wheelock, et al.. (2021). Altered Whole-Brain Resting-State Functional Connectivity Patterns Associated With Pediatric Anxiety and Involuntary Attention Capture. Biological Psychiatry. 89(9). S122–S123. 2 indexed citations
4.
Sylvester, Chad M., Michael T. Perino, Daniel S. Pine, et al.. (2020). The Ventral Attention Network as a Novel Treatment Target for Pediatric Anxiety Disorders. Biological Psychiatry. 87(9). S64–S64. 1 indexed citations
5.
Nusslock, Robin, Michelle G. Craske, Richard E. Zinbarg, et al.. (2018). 47. Computational Models of Effort-Based Choice in Patients With Major Depression and Schizophrenia. Biological Psychiatry. 83(9). S19–S19. 2 indexed citations
6.
Ray, Kimberly L., Angus W. MacDonald, J. Daniel Ragland, et al.. (2017). 629. Dynamic Network Reorganization of the Frontal-Parietal, Aalience, and Default Mode Networks during Cognitive Control and Episodic Memory. Biological Psychiatry. 81(10). S255–S255. 1 indexed citations
7.
Barch, Deanna. (2017). 7. The Neural Mechanisms of Cognitive Control in Psychosis. Schizophrenia Bulletin. 43(suppl_1). S9–S9. 1 indexed citations
8.
Culbreth, Adam J., Andrew Westbrook, & Deanna Barch. (2016). Negative symptoms are associated with an increased subjective cost of cognitive effort.. Journal of Abnormal Psychology. 125(4). 528–536. 69 indexed citations
9.
Marrus, Natasha, Andy C. Belden, Tomoyuki Nishino, et al.. (2015). Ventromedial prefrontal cortex thinning in preschool-onset depression. Journal of Affective Disorders. 180. 79–86. 30 indexed citations
10.
Chung, Yu Sun, Deanna Barch, & Michael Strube. (2013). A Meta-Analysis of Mentalizing Impairments in Adults With Schizophrenia and Autism Spectrum Disorder. Schizophrenia Bulletin. 40(3). 602–616. 197 indexed citations
11.
Barch, Deanna, et al.. (2010). Influence of Emotional Processing on Working Memory in Schizophrenia. Schizophrenia Bulletin. 37(5). 1027–1038. 48 indexed citations
12.
Fales, Christina L., Deanna Barch, Gregory C. Burgess, et al.. (2008). Anxiety and cognitive efficiency: Differential modulation of transient and sustained neural activity during a working memory task. Cognitive Affective & Behavioral Neuroscience. 8(3). 239–253. 166 indexed citations
13.
Barch, Deanna. (2004). Pharmacological manipulation of human working memory. Psychopharmacology. 174(1). 126–35. 73 indexed citations
14.
Barch, Deanna, et al.. (2004). Episodic memory for emotional and nonemotional words in schizophrenia. Cognition & Emotion. 18(6). 721–740. 41 indexed citations
15.
Barch, Deanna, Todd S. Braver, Erbil Akbudak, & John Ollinger. (2000). Anterior cingulate cortex and response conflict: Effects of response modality and processing domain. NeuroImage. 11(5). S104–S104. 16 indexed citations
16.
Carter, Cameron S., Deanna Barch, Jonathan D. Cohen, & Todd S. Braver. (1997). CNS catecholamines and cognitive dysfunction in schizophrenia. Schizophrenia Research. 24(1-2). 211–211. 2 indexed citations
17.
Carter, Cameron S., Deanna Barch, & Jonathan D. Cohen. (1997). Disturbed language processing, disorganization, and atientional impairment in schizophrenia. Schizophrenia Research. 24(1-2). 130–130. 2 indexed citations
18.
Barch, Deanna, Jonathan D. Cohen, David Servan‐Schreiber, & Rohan Ganguli. (1995). The stability and interrelationships of CPT-AX and stroop performance in schizophrenia. Schizophrenia Research. 15(1-2). 108–108. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026