Abigail S. Greene

2.7k total citations · 2 hit papers
23 papers, 1.4k citations indexed

About

Abigail S. Greene is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Abigail S. Greene has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Abigail S. Greene's work include Functional Brain Connectivity Studies (22 papers), Mental Health Research Topics (6 papers) and Advanced MRI Techniques and Applications (6 papers). Abigail S. Greene is often cited by papers focused on Functional Brain Connectivity Studies (22 papers), Mental Health Research Topics (6 papers) and Advanced MRI Techniques and Applications (6 papers). Abigail S. Greene collaborates with scholars based in United States, Netherlands and Switzerland. Abigail S. Greene's co-authors include Dustin Scheinost, R. Todd Constable, Siyuan Gao, Corey Horien, Xilin Shen, Stephanie Noble, Monica D. Rosenberg, Mehraveh Salehi, Daniel S. Barron and Evelyn Lake and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Abigail S. Greene

23 papers receiving 1.4k 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.

Task-induced brain state manipulation improves prediction of individual traits

2018 306 citations Abigail S. Greene, Siyuan Gao et al. Nature Communications profile →
Ten simple rules for predictive modeling of individual differences in neuroimaging

2019 250 citations Dustin Scheinost, Stephanie Noble et al. NeuroImage profile →

Peers

Countries citing papers authored by Abigail S. Greene

Since Specialization

Citations

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

Fields of papers citing papers by Abigail S. Greene

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abigail S. Greene. 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 Abigail S. Greene. The network helps show where Abigail S. Greene may publish in the future.

Co-authorship network of co-authors of Abigail S. Greene

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Why is everyone talking about brain state? 2023 ·Trends in Neurosciences ·Abigail S. Greene, Corey Horien, Daniel Barson, Dustin Scheinost, R. Todd Constable	58
2	Connectome-based machine learning models are vulnerable to subtle data manipulations 2023 ·Patterns ·Matthew Rosenblatt, (unknown), Margaret L. Westwater, (unknown), Corey Horien, Abigail S. Greene, R. Todd Constable, Stephanie Noble, Dustin Scheinost	7
3	Clinical Promise of Brain-Phenotype Modeling 2023 ·JAMA Psychiatry ·Abigail S. Greene, R. Todd Constable	4
4	Brain–phenotype models fail for individuals who defy sample stereotypes 2022 ·Nature ·Abigail S. Greene, Xilin Shen, Stephanie Noble, Corey Horien, Changtae Hahn, Jagriti Arora, Fuyuze Tokoglu, Marisa N. Spann, Carmen I. Carrión, Daniel S. Barron, Gerard Sanacora, Vinod H. Srihari, Scott W. Woods, Dustin Scheinost, R. Todd Constable	78
5	Functional Connectome–Based Predictive Modeling in Autism 2022 ·Biological Psychiatry ·Corey Horien, Dorothea L. Floris, Abigail S. Greene, Stephanie Noble, Max Rolison, Link Tejavibulya, David O’Connor, James C. McPartland, Dustin Scheinost, Katarzyna Chawarska, Evelyn Lake, R. Todd Constable	21
6	Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity 2022 ·NeuroImage ·Link Tejavibulya, Hannah Peterson, Abigail S. Greene, Siyuan Gao, Max Rolison, Stephanie Noble, Dustin Scheinost	23
7	Within node connectivity changes, not simply edge changes, influence graph theory measures in functional connectivity studies of the brain 2021 ·NeuroImage ·Wenjing Luo, Abigail S. Greene, R. Todd Constable	16
8	Genetic variation in endocannabinoid signaling is associated with differential network‐level functional connectivity in youth 2021 ·Journal of Neuroscience Research ·Lucinda M. Sisk, Kristina M. Rapuano, May I. Conley, Abigail S. Greene, Corey Horien, Monica D. Rosenberg, Dustin Scheinost, R. Todd Constable, Charles E. Glatt, B. J. Casey, Dylan G. Gee	13
9	Using functional connectivity models to characterize relationships between working and episodic memory 2021 ·Brain and Behavior ·(unknown), Emily W. Avery, Monica D. Rosenberg, Abigail S. Greene, Siyuan Gao, Dustin Scheinost, R. Todd Constable, Marvin M. Chun, Kwangsun Yoo	5
10	A hitchhiker’s guide to working with large, open-source neuroimaging datasets 2020 ·Nature Human Behaviour ·Corey Horien, Stephanie Noble, Abigail S. Greene, Kangjoo Lee, Daniel S. Barron, Siyuan Gao, David O’Connor, Mehraveh Salehi, Javid Dadashkarimi, Xilin Shen, Evelyn Lake, R. Todd Constable, Dustin Scheinost	38
11	Behavioral and brain signatures of substance use vulnerability in childhood 2020 ·Developmental Cognitive Neuroscience ·Kristina M. Rapuano, Monica D. Rosenberg, (unknown), (unknown), (unknown), Abigail S. Greene, Corey Horien, Dustin Scheinost, R. Todd Constable, B.J. Casey	23
12	How Tasks Change Whole-Brain Functional Organization to Reveal Brain-Phenotype Relationships 2020 ·Cell Reports ·Abigail S. Greene, Siyuan Gao, Stephanie Noble, Dustin Scheinost, R. Todd Constable	51
13	Low-motion fMRI data can be obtained in pediatric participants undergoing a 60-minute scan protocol 2020 ·Scientific Reports ·Corey Horien, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Kelly Powell, Deanna M. Macris, Kangjoo Lee, Abigail S. Greene, James C. McPartland, Fred R. Volkmar, Dustin Scheinost, Katarzyna Chawarska, R. Todd Constable	18
14	Transdiagnostic, Connectome-Based Prediction of Memory Constructs Across Psychiatric Disorders 2020 ·Cerebral Cortex ·Daniel S. Barron, Siyuan Gao, Javid Dadashkarimi, Abigail S. Greene, Marisa N. Spann, Stephanie Noble, Evelyn Lake, John H. Krystal, R. Todd Constable, Dustin Scheinost	41
15	Functional connectivity predicts changes in attention observed across minutes, days, and months 2020 ·Proceedings of the National Academy of Sciences ·Monica D. Rosenberg, Dustin Scheinost, Abigail S. Greene, Emily W. Avery, (unknown), Emily S. Finn, Ramachandran Ramani, Maolin Qiu, R. Todd Constable, Marvin M. Chun	103
16	Ten simple rules for predictive modeling of individual differences in neuroimaging breakdown → 2019 ·NeuroImage ·Dustin Scheinost, Stephanie Noble, Corey Horien, Abigail S. Greene, Evelyn Lake, Mehraveh Salehi, Siyuan Gao, Xilin Shen, David O’Connor, Daniel S. Barron, Sarah W. Yip, Monica D. Rosenberg, R. Todd Constable	250
17	Combining multiple connectomes improves predictive modeling of phenotypic measures 2019 ·NeuroImage ·Siyuan Gao, Abigail S. Greene, R. Todd Constable, Dustin Scheinost	88
18	There is no single functional atlas even for a single individual: Functional parcel definitions change with task 2019 ·NeuroImage ·Mehraveh Salehi, Abigail S. Greene, Amin Karbasi, Xilin Shen, Dustin Scheinost, R. Todd Constable	125
19	Regions and Connections: Complementary Approaches to Characterize Brain Organization and Function 2019 ·The Neuroscientist ·Corey Horien, Abigail S. Greene, R. Todd Constable, Dustin Scheinost	22
20	Task-induced brain state manipulation improves prediction of individual traits breakdown → 2018 ·Nature Communications ·Abigail S. Greene, Siyuan Gao, Dustin Scheinost, R. Todd Constable	306

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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