Godfrey D. Pearlson

81.2k total citations · 12 hit papers
695 papers, 46.8k citations indexed

About

Godfrey D. Pearlson is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Godfrey D. Pearlson has authored 695 papers receiving a total of 46.8k indexed citations (citations by other indexed papers that have themselves been cited), including 445 papers in Cognitive Neuroscience, 224 papers in Psychiatry and Mental health and 175 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Godfrey D. Pearlson's work include Functional Brain Connectivity Studies (365 papers), Schizophrenia research and treatment (152 papers) and Advanced Neuroimaging Techniques and Applications (149 papers). Godfrey D. Pearlson is often cited by papers focused on Functional Brain Connectivity Studies (365 papers), Schizophrenia research and treatment (152 papers) and Advanced Neuroimaging Techniques and Applications (149 papers). Godfrey D. Pearlson collaborates with scholars based in United States, China and Canada. Godfrey D. Pearlson's co-authors include Vince D. Calhoun, Tülay Adalı, Kent A. Kiehl, James J. Pekar, Michael C. Stevens, Patrick E. Barta, Carol A. Tamminga, Matcheri S. Keshavan, John A. Sweeney and Brett A. Clementz and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Godfrey D. Pearlson

672 papers receiving 45.8k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A method for making group inferences from functional MRI data using independent component analysis

2001 2.4k citations Vince D. Calhoun, Godfrey D. Pearlson et al. Human Brain Mapping profile →
Prodromal Assessment With the Structured Interview for Prodromal Syndromes and the Scale of Prodromal Symptoms: Predictive Validity, Interrater Reliability, and Training to Reliability

2003 1.4k citations Godfrey D. Pearlson et al. profile →
The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery

2014 985 citations Vince D. Calhoun, Godfrey D. Pearlson et al. profile →
Aberrant “Default Mode” Functional Connectivity in Schizophrenia

2007 881 citations Godfrey D. Pearlson, Vince D. Calhoun et al. profile →
DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking

2006 857 citations Godfrey D. Pearlson et al. profile →
Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia

2014 802 citations Eswar Damaraju, Ayşenil Belger et al. profile →
A method for functional network connectivity among spatially independent resting-state components in schizophrenia

2007 797 citations Godfrey D. Pearlson, Michael C. Stevens et al. profile →
Positron Emission Tomography Reveals Elevated D ₂ Dopamine Receptors in Drug-Naive Schizophrenics

1986 681 citations Godfrey D. Pearlson, Carol A. Tamminga et al. profile →
Auditory hallucinations and smaller superior temporal gyral volume in schizophrenia

1990 612 citations Patrick E. Barta, Godfrey D. Pearlson et al. profile →
Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients

2010 522 citations Vince D. Calhoun, Michael C. Stevens et al. profile →
Spatial and temporal independent component analysis of functional MRI data containing a pair of task‐related waveforms

2001 521 citations Vince D. Calhoun, Godfrey D. Pearlson et al. Human Brain Mapping profile →
Identification of Distinct Psychosis Biotypes Using Brain-Based Biomarkers

2015 470 citations Brett A. Clementz, John A. Sweeney et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Godfrey D. Pearlson United States	109	29.7k	13.2k	13.1k	6.3k	4.9k	695	46.8k
Raquel E. Gur United States	107	22.0k 0.7×	7.4k 0.6×	13.5k 1.0×	7.8k 1.2×	3.5k 0.7×	620	42.3k
John Ashburner United Kingdom	83	33.8k 1.1×	20.3k 1.5×	11.7k 0.9×	5.1k 0.8×	4.5k 0.9×	195	60.8k
Thomas E. Nichols United Kingdom	78	30.1k 1.0×	16.4k 1.2×	7.3k 0.6×	5.9k 0.9×	2.9k 0.6×	335	49.7k
René S. Kahn Netherlands	108	19.3k 0.7×	7.9k 0.6×	16.3k 1.2×	5.1k 0.8×	5.1k 1.0×	734	45.5k
Christos Pantelis Australia	109	18.4k 0.6×	8.1k 0.6×	18.1k 1.4×	5.5k 0.9×	3.7k 0.8×	637	39.2k
F. Xavier Castellanos United States	107	34.5k 1.2×	9.1k 0.7×	19.3k 1.5×	6.4k 1.0×	3.7k 0.8×	350	47.1k
Vinod Menon United States	99	46.0k 1.6×	11.4k 0.9×	9.0k 0.7×	11.1k 1.8×	3.0k 0.6×	268	58.3k
Vince D. Calhoun United States	113	49.1k 1.7×	19.9k 1.5×	8.8k 0.7×	8.8k 1.4×	2.9k 0.6×	1.5k	63.4k
Ruben C. Gur United States	115	25.8k 0.9×	7.4k 0.6×	12.5k 1.0×	10.7k 1.7×	3.0k 0.6×	687	47.6k
Peter T. Fox United States	121	51.7k 1.7×	17.3k 1.3×	9.6k 0.7×	11.7k 1.9×	5.0k 1.0×	591	74.7k

Countries citing papers authored by Godfrey D. Pearlson

Since Specialization

Citations

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

Fields of papers citing papers by Godfrey D. Pearlson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Godfrey D. Pearlson. 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 Godfrey D. Pearlson. The network helps show where Godfrey D. Pearlson may publish in the future.

Co-authorship network of co-authors of Godfrey D. Pearlson

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bolo, Nicolas R., David Parker, Elena I. Ivleva, et al.. (2025). Hippocampal glutamate and verbal episodic memory in the psychosis spectrum: A preliminary report. 13. 100135–100135.

Meda, Shashwath A., Michael C. Stevens, Erwin R. Boer, et al.. (2025). A randomized, placebo-controlled, double-blind, pilot study of cannabis-related driving impairment assessed by driving simulator and self-report. Journal of Psychopharmacology. 39(4). 364–372. 1 indexed citations

Choi, Jimmy, et al.. (2024). A randomized clinical trial to evaluate feasibility, tolerability, and preliminary target engagement for a novel executive working memory training in adolescents with ADHD. Behaviour Research and Therapy. 181. 104615–104615. 1 indexed citations

Clementz, Brett A., Ishanu Chattopadhyay, S. Kristian Hill, et al.. (2024). Cognitive performance and differentiation of B-SNIP psychosis Biotypes: Algorithmic Diagnostics for Efficient Prescription of Treatments (ADEPT) - 2. SHILAP Revista de lepidopterología. 12. 100117–100117. 1 indexed citations

Iraji, Armin, Lei Wu, Theo G.M. van Erp, et al.. (2024). A spatially constrained independent component analysis jointly informed by structural and functional network connectivity. Network Neuroscience. 8(4). 1212–1242. 1 indexed citations

Pearlson, Godfrey D., et al.. (2024). Double Functionally Independent Primitives Provide Disorder Specific Fingerprints of Mental Illnesses. 1–4.

Yan, Weizheng, Godfrey D. Pearlson, Zening Fu, et al.. (2023). A Brainwide Risk Score for Psychiatric Disorder Evaluated in a Large Adolescent Population Reveals Increased Divergence Among Higher-Risk Groups Relative to Control Participants. Biological Psychiatry. 95(7). 699–708. 14 indexed citations

Misiura, Maria, et al.. (2023). Revisiting Functional Dysconnectivity: A Review of Three Model Frameworks in Schizophrenia. PsyArXiv (OSF Preprints). 4 indexed citations

Chung, Yu Sun, Stephanie Novotny, C. Neill Epperson, et al.. (2023). Estradiol effects on an emotional interference task in adolescents with current and remitted depression. Hormones and Behavior. 157. 105450–105450.

10.

Iraji, Armin, Zening Fu, Peter Kochunov, et al.. (2021). Multimodel Order Independent Component Analysis: A Data-Driven Method for Evaluating Brain Functional Network Connectivity Within and Between Multiple Spatial Scales. Brain Connectivity. 12(7). 617–628. 10 indexed citations

11.

Rabin, Rachel A., Scott Mackey, Muhammad A. Parvaz, et al.. (2020). Common and gender‐specific associations with cocaine use on gray matter volume: Data from the ENIGMA addiction working group. Human Brain Mapping. 43(1). 543–554. 12 indexed citations

12.

Luo, Na, Jing Sui, Anees Abrol, et al.. (2020). Structural Brain Architectures Match Intrinsic Functional Networks and Vary across Domains: A Study from 15 000+ Individuals. Cerebral Cortex. 30(10). 5460–5470. 27 indexed citations

13.

Rodrigue, Amanda, D. Mastrovito, Oscar Estéban, et al.. (2020). Searching for Imaging Biomarkers of Psychotic Dysconnectivity. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 6(12). 1135–1144. 9 indexed citations

14.

Ji, Jie Lisa, Caroline Diehl, Charles Schleifer, et al.. (2018). Schizophrenia Exhibits Bi-directional Brain-Wide Alterations in Cortico-Striato-Cerebellar Circuits. Cerebral Cortex. 29(11). 4463–4487. 27 indexed citations

15.

Glahn, David C., Emma Knowles, & Godfrey D. Pearlson. (2015). Genetics of cognitive control: Implications for Nimh's research domain criteria initiative. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 171(1). 111–120. 11 indexed citations

16.

Ethridge, Lauren E., Jordan P. Hamm, Ann Summerfelt, et al.. (2012). Neural Activations During Auditory Oddball Processing Discriminating Schizophrenia and Psychotic Bipolar Disorder. Biological Psychiatry. 72(9). 766–774. 54 indexed citations

17.

Vannorsdall, Tracy D., et al.. (2009). Cranial Volume, Mild Cognitive Deficits, and Functional Limitations Associated with Diabetes in a Community Sample. Archives of Clinical Neuropsychology. 25(1). 49–59. 39 indexed citations

18.

Kurtz, Matthew M., et al.. (2004). Virtual Driving in Individuals With Schizophrenia. 2. 2 indexed citations

19.

Hoehn‐Saric, Rudolf, Thomas E. Schläepfer, Benjamin D. Greenberg, et al.. (2001). Cerebral blood flow in obsessive–compulsive patients with major depression: effect of treatment with sertraline or desipramine on treatment responders and non-responders. Psychiatry Research Neuroimaging. 108(2). 89–100. 33 indexed citations

20.

Harris, Gordon J., Godfrey D. Pearlson, Carol E. Peyser, et al.. (1992). Putamen volume reduction on magnetic resonance imaging exceeds caudate changes in mild Huntington's disease. Annals of Neurology. 31(1). 69–75. 118 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