Crystal Cooper

5.2k total citations · 1 hit paper
39 papers, 1.7k citations indexed

About

Crystal Cooper is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Pharmacology. According to data from OpenAlex, Crystal Cooper has authored 39 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 17 papers in Experimental and Cognitive Psychology and 14 papers in Pharmacology. Recurrent topics in Crystal Cooper's work include Functional Brain Connectivity Studies (23 papers), Treatment of Major Depression (14 papers) and Mental Health Research Topics (12 papers). Crystal Cooper is often cited by papers focused on Functional Brain Connectivity Studies (23 papers), Treatment of Major Depression (14 papers) and Mental Health Research Topics (12 papers). Crystal Cooper collaborates with scholars based in United States, Singapore and United Kingdom. Crystal Cooper's co-authors include Madhukar H. Trivedi, Maurizio Fava, Myrna M. Weissman, Patrick J. McGrath, Melvin G. McInnis, Mary L. Phillips, Phil Adams, Russell T. Shinohara, Philip A. Cook and Nicholas Cullen and has published in prestigious journals such as NeuroImage, American Journal of Psychiatry and Child Development.

In The Last Decade

Crystal Cooper

37 papers receiving 1.7k citations

Hit Papers

Harmonization of cortical thickness measurements across s... 2017 2026 2020 2023 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Crystal Cooper United States 20 1.0k 621 378 314 261 39 1.7k
Youjin Zhao China 22 1.0k 1.0× 548 0.9× 303 0.8× 346 1.1× 146 0.6× 58 1.5k
Yanqing Tang China 24 1.1k 1.1× 428 0.7× 455 1.2× 336 1.1× 122 0.5× 53 1.7k
Mingying Du China 16 951 0.9× 570 0.9× 264 0.7× 328 1.0× 123 0.5× 18 1.5k
Andrei Manoliu Switzerland 22 1.4k 1.4× 721 1.2× 543 1.4× 387 1.2× 118 0.5× 51 2.1k
Baojuan Li China 21 2.0k 2.0× 991 1.6× 621 1.6× 296 0.9× 181 0.7× 57 2.8k
Zhiliang Long China 31 1.9k 1.9× 723 1.2× 628 1.7× 495 1.6× 155 0.6× 65 2.4k
Xinyu Hu China 26 1.1k 1.1× 485 0.8× 453 1.2× 337 1.1× 127 0.5× 69 2.0k
Pei‐Chi Tu Taiwan 19 809 0.8× 271 0.4× 184 0.5× 449 1.4× 266 1.0× 59 1.7k
Fengmei Lu China 24 1.2k 1.2× 476 0.8× 441 1.2× 303 1.0× 104 0.4× 77 1.7k

Countries citing papers authored by Crystal Cooper

Since Specialization
Citations

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

Fields of papers citing papers by Crystal Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Crystal Cooper

This figure shows the co-authorship network connecting the top 25 collaborators of Crystal Cooper. A scholar is included among the top collaborators of Crystal Cooper 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 Crystal Cooper. Crystal Cooper 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.
Berl, Madison M., Marsha Gabriel, Katrina Boyer, et al.. (2025). Association of the cognitive lateralization rating Index with surgical variables of a national cohort of pediatric patients with epilepsy. Epilepsy & Behavior. 168. 110404–110404. 1 indexed citations
2.
Kaiser, Roselinde H., Henry W. Chase, Mary L. Phillips, et al.. (2022). Dynamic Resting-State Network Biomarkers of Antidepressant Treatment Response. Biological Psychiatry. 92(7). 533–542. 17 indexed citations
3.
Cooper, Crystal, Manish K. Jha, Benji T. Kurian, et al.. (2021). Patterns of Pretreatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results From the EMBARC Randomized Clinical Trial. Biological Psychiatry. 91(6). 550–560. 14 indexed citations
4.
Ang, Yuen‐Siang, Gerard E. Bruder, John G. Keilp, et al.. (2020). Exploration of baseline and early changes in neurocognitive characteristics as predictors of treatment response to bupropion, sertraline, and placebo in the EMBARC clinical trial. Psychological Medicine. 52(13). 2441–2449. 5 indexed citations
5.
Fatt, Cherise R. Chin, Crystal Cooper, Manish K. Jha, et al.. (2020). Differential response to SSRI versus Placebo and distinct neural signatures among data-driven subgroups of patients with major depressive disorder. Journal of Affective Disorders. 282. 602–610. 5 indexed citations
6.
Fatt, Cherise R. Chin, Crystal Cooper, Manish K. Jha, et al.. (2020). Dorsolateral Prefrontal Cortex and Subcallosal Cingulate Connectivity Show Preferential Antidepressant Response in Major Depressive Disorder. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 6(1). 20–28. 19 indexed citations
7.
Fonzo, Gregory A., Amit Etkin, Yu Zhang, et al.. (2019). Brain regulation of emotional conflict predicts antidepressant treatment response for depression. Nature Human Behaviour. 3(12). 1319–1331. 40 indexed citations
8.
Cooper, Crystal, Cherise R. Chin Fatt, Manish K. Jha, et al.. (2019). Cerebral Blood Perfusion Predicts Response to Sertraline versus Placebo for Major Depressive Disorder in the EMBARC Trial. EClinicalMedicine. 10. 32–41. 22 indexed citations
9.
Trivedi, Madhukar H., Cherise R. Chin Fatt, Manish K. Jha, et al.. (2019). Comprehensive phenotyping of depression disease trajectory and risk: Rationale and design of Texas Resilience Against Depression study (T-RAD). Journal of Psychiatric Research. 122. 22–32. 21 indexed citations
10.
Trombello, Joseph M., Diego A. Pizzagalli, Myrna M. Weissman, et al.. (2018). Characterizing anxiety subtypes and the relationship to behavioral phenotyping in major depression: Results from the EMBARC study. Journal of Psychiatric Research. 102. 207–215. 10 indexed citations
11.
Walker, Robrina, Thomas Carmody, Crystal Cooper, et al.. (2018). Anxiety and anhedonia in depression: Associations with neuroticism and cognitive control. Journal of Affective Disorders. 245. 1070–1078. 25 indexed citations
12.
Whitton, Alexis E., Christian A. Webb, Daniel G. Dillon, et al.. (2018). Pretreatment Rostral Anterior Cingulate Cortex Connectivity With Salience Network Predicts Depression Recovery: Findings From the EMBARC Randomized Clinical Trial. Biological Psychiatry. 85(10). 872–880. 46 indexed citations
13.
Bartlett, Elizabeth, Christine DeLorenzo, Priya Sharma, et al.. (2018). Pretreatment and early-treatment cortical thickness is associated with SSRI treatment response in major depressive disorder. Neuropsychopharmacology. 43(11). 2221–2230. 56 indexed citations
14.
Perlman, Greg, Elizabeth Bartlett, Christine DeLorenzo, et al.. (2017). Cortical thickness is not associated with current depression in a clinical treatment study. Human Brain Mapping. 38(9). 4370–4385. 14 indexed citations
15.
Yeh, Fang‐Cheng, Phil Adams, Madhukar H. Trivedi, et al.. (2017). A comparison of structural connectivity in anxious depression versus non-anxious depression. Journal of Psychiatric Research. 89. 38–47. 31 indexed citations
16.
Almeida, Jorge, Tsafrir Greenberg, Hanzhang Lu, et al.. (2017). Test-retest reliability of cerebral blood flow in healthy individuals using arterial spin labeling: Findings from the EMBARC study. Magnetic Resonance Imaging. 45. 26–33. 20 indexed citations
17.
Fortin, Jean‐Philippe, Nicholas Cullen, Yvette I. Sheline, et al.. (2017). Harmonization of cortical thickness measurements across scanners and sites. NeuroImage. 167. 104–120. 737 indexed citations breakdown →
18.
Cooper, Crystal, Richard W. Briggs, Emily A. Farris, et al.. (2016). Memory and functional brain differences in a national sample of U.S. veterans with Gulf War Illness. Psychiatry Research Neuroimaging. 250. 33–41. 20 indexed citations
19.
Odegard, Timothy N., et al.. (2012). Memory impairment exhibited by veterans with Gulf War Illness. Neurocase. 19(4). 316–327. 36 indexed citations
20.
Cooper, Crystal & Timothy N. Odegard. (2011). Attention and the acquisition of new knowledge: Their effects on older adults' associative memory deficit.. Psychology and Aging. 26(4). 890–899. 3 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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