Eric Feczko

11.8k total citations · 3 hit papers
67 papers, 4.2k citations indexed

About

Eric Feczko is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Eric Feczko has authored 67 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 14 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Psychiatry and Mental health. Recurrent topics in Eric Feczko's work include Functional Brain Connectivity Studies (33 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and Autism Spectrum Disorder Research (9 papers). Eric Feczko is often cited by papers focused on Functional Brain Connectivity Studies (33 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and Autism Spectrum Disorder Research (9 papers). Eric Feczko collaborates with scholars based in United States, United Kingdom and Brazil. Eric Feczko's co-authors include Damien A. Fair, Gagan S. Wig, Óscar Miranda-Domínguez, Steven E. Petersen, John R. Pruett, Bradley L. Schlaggar, Deanna M. Barch, Joel T. Nigg, Scott M. Nelson and Rebecca S. Coalson and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Eric Feczko

61 papers receiving 4.1k citations

Hit 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.

Prediction of Individual Brain Maturity Using fMRI

2010 1.6k citations Nico U.F. Dosenbach, Binyam Nardos et al. Science profile →
Maternal IL-6 during pregnancy can be estimated from newborn brain connectivity and predicts future working memory in offspring

2018 262 citations Marc D. Rudolph, Alice M. Graham et al. Nature Neuroscience profile →
The Heterogeneity Problem: Approaches to Identify Psychiatric Subtypes

2019 245 citations Eric Feczko, Óscar Miranda-Domínguez et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Feczko United States	25	3.0k	980	775	703	419	67	4.2k
John W. VanMeter United States	36	3.1k 1.0×	598 0.6×	788 1.0×	714 1.0×	466 1.1×	105	4.9k
Jakob Seidlitz United States	31	2.6k 0.8×	1.2k 1.3×	409 0.5×	467 0.7×	335 0.8×	94	3.9k
Suzanne E. Welcome United States	15	2.4k 0.8×	869 0.9×	878 1.1×	432 0.6×	278 0.7×	22	3.8k
Igor Nenadić Germany	41	2.6k 0.9×	1.2k 1.3×	1.5k 1.9×	572 0.8×	599 1.4×	155	4.5k
Terrence R. Oakes United States	33	3.1k 1.0×	1.0k 1.1×	606 0.8×	853 1.2×	543 1.3×	53	5.2k
Marc Tittgemeyer Germany	43	2.7k 0.9×	1.2k 1.2×	568 0.7×	427 0.6×	497 1.2×	130	5.5k
Tony W. Wilson United States	46	4.9k 1.6×	680 0.7×	972 1.3×	467 0.7×	255 0.6×	346	7.3k
Rachel M. Brouwer Netherlands	34	1.7k 0.5×	954 1.0×	808 1.0×	551 0.8×	261 0.6×	87	3.3k
Aaron Alexander‐Bloch United States	32	4.2k 1.4×	2.1k 2.2×	761 1.0×	883 1.3×	354 0.8×	83	5.8k
Laura M. Rowland United States	41	2.5k 0.8×	1.6k 1.6×	975 1.3×	1.1k 1.5×	419 1.0×	147	5.7k

Countries citing papers authored by Eric Feczko

Since Specialization

Citations

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

Fields of papers citing papers by Eric Feczko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Feczko

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Feczko. A scholar is included among the top collaborators of Eric Feczko 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 Eric Feczko. Eric Feczko 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

Moore, Lucille A., Andrew J. Stier, Robert Hermosillo, et al.. (2026). Cortical Thickness and Curvature in Autism and ADHD: A Mega-Analysis. bioRxiv (Cold Spring Harbor Laboratory).

Kovacs‐Balint, Zsofia, Mar M. Sánchez, Arick Wang, et al.. (2024). The Development of Socially Directed Attention: A Functional Magnetic Resonance Imaging Study in Infant Monkeys. Journal of Cognitive Neuroscience. 36(12). 2742–2760.

Seidlitz, Jakob, Richard A. I. Bethlehem, Kahini Mehta, et al.. (2024). Study design features increase replicability in brain-wide association studies. Nature. 636(8043). 719–727. 9 indexed citations

Li, Xinhui, Nathália Bianchini Esper, Lei Ai, et al.. (2024). Moving beyond processing- and analysis-related variation in resting-state functional brain imaging. Nature Human Behaviour. 8(10). 2003–2017. 11 indexed citations

Mooney, Michael A., Bart Larsen, Eric Feczko, et al.. (2024). Neurobiology of attention-deficit hyperactivity disorder: historical challenges and emerging frontiers. Nature reviews. Neuroscience. 25(12). 759–775. 13 indexed citations

Keller, Arielle S., Allyson P. Mackey, Adam Pines, et al.. (2022). Caregiver monitoring, but not caregiver warmth, is associated with general cognition in two large sub‐samples of youth. Developmental Science. 26(3). e13337–e13337. 2 indexed citations

Godfrey, Jodi R., Eric Feczko, Eric Earl, et al.. (2021). Chronic psychosocial stress and experimental pubertal delay affect socioemotional behavior and amygdala functional connectivity in adolescent female rhesus macaques. Psychoneuroendocrinology. 127. 105154–105154. 7 indexed citations

Raper, Jessica, Zsofia Kovacs‐Balint, Maud Mavigner, et al.. (2020). Long-term alterations in brain and behavior after postnatal Zika virus infection in infant macaques. Nature Communications. 11(1). 2534–2534. 44 indexed citations

Rosenberg, Monica D., Steven A. Martinez, Kristina M. Rapuano, et al.. (2020). Behavioral and Neural Signatures of Working Memory in Childhood. Journal of Neuroscience. 40(26). 5090–5104. 62 indexed citations

10.

Earl, Eric, et al.. (2020). ABCD-BIDS Community Collection (ABCC). OSF Preprints (OSF Preprints). 3 indexed citations

11.

Mills, Brian D., David S. Grayson, Anandakumar Shunmugavel, et al.. (2018). Correlated Gene Expression and Anatomical Communication Support Synchronized Brain Activity in the Mouse Functional Connectome. Journal of Neuroscience. 38(25). 5774–5787. 22 indexed citations

12.

Rudolph, Marc D., Alice M. Graham, Eric Feczko, et al.. (2018). Maternal IL-6 during pregnancy can be estimated from newborn brain connectivity and predicts future working memory in offspring. Nature Neuroscience. 21(5). 765–772. 262 indexed citations breakdown →

13.

Marr, Mollie, Alice M. Graham, Eric Feczko, et al.. (2018). 3.20 The Trajectory of Maternal Prenatal Stress is Associated With Newborn Amygdala Functional Connectivity and Infant Negative Affect Development Over the First Two Years of Life. Journal of the American Academy of Child & Adolescent Psychiatry. 57(10). S188–S188. 2 indexed citations

14.

Feczko, Eric, Óscar Miranda-Domínguez, Michaela Cordova, et al.. (2017). Subtyping cognitive profiles in Autism Spectrum Disorder using a Functional Random Forest algorithm. NeuroImage. 172. 674–688. 101 indexed citations

15.

Parr, Lisa A., et al.. (2016). Experience‐dependent changes in the development of face preferences in infant rhesus monkeys. Developmental Psychobiology. 58(8). 1002–1018. 16 indexed citations

16.

Feczko, Eric, et al.. (2016). The development of visual preferences for direct versus averted gaze faces in infant macaques (Macaca mulatta). Developmental Psychobiology. 58(8). 926–936. 22 indexed citations

17.

Dosenbach, Nico U.F., Binyam Nardos, Alexander L. Cohen, et al.. (2010). Prediction of Individual Brain Maturity Using fMRI. Science. 329(5997). 1358–1361. 1584 indexed citations breakdown →

18.

Dickerson, Bradford C., Akram Bakkour, David H. Salat, et al.. (2008). The Cortical Signature of Alzheimer's Disease: Regionally Specific Cortical Thinning Relates to Symptom Severity in Very Mild to Mild AD Dementia and is Detectable in Asymptomatic Amyloid-Positive Individuals. Cerebral Cortex. 19(3). 497–510. 32 indexed citations

19.

Wright, Christopher I., Eric Feczko, Bradford Dickerson, & Danielle M. Williams. (2007). Neuroanatomical correlates of personality in the elderly. NeuroImage. 35(1). 263–272. 83 indexed citations

20.

Dickerson, Bradford C., Eric Feczko, Jean C. Augustinack, et al.. (2007). Differential effects of aging and Alzheimer's disease on medial temporal lobe cortical thickness and surface area. Neurobiology of Aging. 30(3). 432–440. 233 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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