Kosha Ruparel

22.4k total citations · 6 hit papers
160 papers, 13.7k citations indexed

About

Kosha Ruparel is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Kosha Ruparel has authored 160 papers receiving a total of 13.7k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Cognitive Neuroscience, 36 papers in Radiology, Nuclear Medicine and Imaging and 29 papers in Experimental and Cognitive Psychology. Recurrent topics in Kosha Ruparel's work include Functional Brain Connectivity Studies (67 papers), Advanced Neuroimaging Techniques and Applications (33 papers) and Advanced MRI Techniques and Applications (21 papers). Kosha Ruparel is often cited by papers focused on Functional Brain Connectivity Studies (67 papers), Advanced Neuroimaging Techniques and Applications (33 papers) and Advanced MRI Techniques and Applications (21 papers). Kosha Ruparel collaborates with scholars based in United States, Germany and France. Kosha Ruparel's co-authors include Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, James Loughead, Mark A. Elliott, Daniel H. Wolf, Håkon Håkonarson, Monica E. Calkins, David R. Roalf and Daniel D. Langleben and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Journal of the American College of Cardiology.

In The Last Decade

Kosha Ruparel

155 papers receiving 13.5k 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.

An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data

2012 1.3k citations Theodore D. Satterthwaite, Mark A. Elliott et al. NeuroImage profile →
Impact of in-scanner head motion on multiple measures of functional connectivity: Relevance for studies of neurodevelopment in youth

2012 869 citations Theodore D. Satterthwaite, Daniel H. Wolf et al. NeuroImage profile →
Sex differences in the structural connectome of the human brain

2013 778 citations Theodore D. Satterthwaite, Mark A. Elliott et al. Proceedings of the National Academy of Sciences profile →
Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity

2017 654 citations Rastko Ćirić, Daniel H. Wolf et al. NeuroImage profile →
Harmonization of multi-site diffusion tensor imaging data

2017 653 citations Mark A. Elliott, Kosha Ruparel et al. NeuroImage profile →
Development of structure–function coupling in human brain networks during youth

2019 285 citations Graham L. Baum, Zaixu Cui et al. Proceedings of the National Academy of Sciences profile →

Peers

Countries citing papers authored by Kosha Ruparel

Since Specialization

Citations

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

Fields of papers citing papers by Kosha Ruparel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kosha Ruparel

This figure shows the co-authorship network connecting the top 25 collaborators of Kosha Ruparel. A scholar is included among the top collaborators of Kosha Ruparel 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 Kosha Ruparel. Kosha Ruparel 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	Investigating mood and cognition in people with multiple sclerosis: a prospective cross-sectional study protocol 2025 ·BMJ Open ·(unknown), Matthew K. Schindler, Amit Bar‐Or, Rachel Brandstadter, Monica E. Calkins, Ruben C. Gur, Dina Jacobs, Clyde Markowitz, Tyler M. Moore, (unknown), Christopher Perrone, Kosha Ruparel, (unknown), (unknown), Russell T. Shinohara, (unknown), Erica B. Baller	0
2	Validation of the cognitive section of the Penn computerized adaptive test for neurocognitive and clinical psychopathology assessment (CAT-CCNB) 2023 ·Brain and Cognition ·(unknown), Tyler M. Moore, (unknown), (unknown), Katherine Lopez, Kosha Ruparel, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Daniel H. Wolf, Monica E. Calkins, J. Cobb Scott, Raquel E. Gur, Ruben C. Gur	1
3	Psychosis spectrum features, neurocognition and functioning in a longitudinal study of youth with 22q11.2 deletion syndrome 2023 ·Psychological Medicine ·Raquel E. Gur, Donna M. McDonald‐McGinn, Tyler M. Moore, Robert S. Gallagher, (unknown), Lauren K. White, Kosha Ruparel, Noah H. Hillman, T. Blaine Crowley, Daniel E. McGinn, Elaine H. Zackai, Beverly S. Emanuel, Monica E. Calkins, David R. Roalf, Ruben C. Gur	6
4	Decision value signals in the ventromedial prefrontal cortex and motivational and hedonic symptoms across mood and psychotic disorders 2022 ·NeuroImage Clinical ·(unknown), Daniel H. Wolf, (unknown), Sangil Lee, Kosha Ruparel, Mark A. Elliott, (unknown), Matthew Cieslak, (unknown), Theodore D. Satterthwaite, Joseph W. Kable	7
5	A Comprehensive Analysis of Cerebellar Volumes in the 22q11.2 Deletion Syndrome 2021 ·Biological Psychiatry Cognitive Neuroscience and Neuroimaging ·J. Eric Schmitt, (unknown), David R. Roalf, Kosha Ruparel, Robert S. Gallagher, Ruben C. Gur, Aaron Alexander‐Bloch, (unknown), (unknown), Jeffrey A. Steinberg, Walter J. Akers, Khaled Khairy, T. Blaine Crowley, Beverly S. Emanuel, Stanislav S. Zakharenko, Donna M. McDonald‐McGinn, Raquel E. Gur	7
6	Altered functional brain dynamics in chromosome 22q11.2 deletion syndrome during facial affect processing 2021 ·Molecular Psychiatry ·Eli J. Cornblath, (unknown), Xiaosong He, Kosha Ruparel, David M. Lydon‐Staley, Tyler M. Moore, Ruben C. Gur, Elaine H. Zackai, Beverly S. Emanuel, Donna M. McDonald‐McGinn, Daniel H. Wolf, Theodore D. Satterthwaite, David R. Roalf, Raquel E. Gur, Dani S. Bassett	3
7	Pitfalls in brain age analyses 2021 ·Human Brain Mapping ·Ellyn R. Butler, Andrew A. Chen, (unknown), Trang T. Le, Kosha Ruparel, Tyler M. Moore, Theodore D. Satterthwaite, Fengqing Zhang, Haochang Shou, Ruben C. Gur, Thomas E. Nichols, Russell T. Shinohara	57
8	Structural and Functional Brain Parameters Related to Cognitive Performance Across Development: Replication and Extension of the Parieto-Frontal Integration Theory in a Single Sample 2020 ·Cerebral Cortex ·Ruben C. Gur, Ellyn R. Butler, Tyler M. Moore, Adon F.G. Rosen, Kosha Ruparel, Theodore D. Satterthwaite, David R. Roalf, Efstathios D. Gennatas, Warren B. Bilker, Russell T. Shinohara, Allison M. Port, Mark A. Elliott, Ragini Verma, Christos Davatzikos, Daniel H. Wolf, John A. Detre, Raquel E. Gur	19
9	Development of a computerised neurocognitive battery for children and adolescents with HIV in Botswana: study design and protocol for the Ntemoga study 2020 ·BMJ Open ·J. Cobb Scott, (unknown), Allison M. Port, (unknown), Ruben C. Gur, Tyler M. Moore, (unknown), (unknown), Mogomotsi Matshaba, Kosha Ruparel, Jennifer Chapman, Elizabeth D. Lowenthal	12
10	Early language measures associated with later psychosis features in 22q11.2 deletion syndrome 2020 ·American Journal of Medical Genetics Part B Neuropsychiatric Genetics ·Cynthia Solot, Tyler M. Moore, T. Blaine Crowley, Marsha Gerdes, Edward Moss, Daniel E. McGinn, Beverly S. Emanuel, Elaine H. Zackai, Sean Gallagher, Monica E. Calkins, Kosha Ruparel, Ruben C. Gur, Donna M. McDonald‐McGinn, Raquel E. Gur	12
11	Development of structure–function coupling in human brain networks during youth breakdown → 2019 ·Proceedings of the National Academy of Sciences ·Graham L. Baum, Zaixu Cui, David R. Roalf, Rastko Ćirić, Richard F. Betzel, Bart Larsen, Matthew Cieslak, Philip A. Cook, Cedric Huchuan Xia, Tyler M. Moore, Kosha Ruparel, Desmond J. Oathes, Aaron Alexander‐Bloch, Russell T. Shinohara, Armin Raznahan, Raquel E. Gur, Ruben C. Gur, Danielle S. Bassett, Theodore D. Satterthwaite	285
12	Face Processing Measures of Social Cognition: A Dimensional Approach to Developmental Psychopathology 2017 ·Biological Psychiatry Cognitive Neuroscience and Neuroimaging ·Raquel E. Gur, Tyler M. Moore, Monica E. Calkins, Kosha Ruparel, Ruben C. Gur	20
13	Disrupted anatomic networks in the 22q11.2 deletion syndrome 2016 ·NeuroImage Clinical ·J. Eric Schmitt, James Yi, Monica E. Calkins, Kosha Ruparel, David R. Roalf, Amy Mulick, Margaret C. Souders, Theodore D. Satterthwaite, Donna M. McDonald‐McGinn, Elaine H. Zackai, Ruben C. Gur, Beverly S. Emanuel, Raquel E. Gur	5
14	Defining and Validating a Short Form Montreal Cognitive Assessment (s-MoCA) for Use in Neurodegenerative Disease (S1.005) 2016 ·Neurology ·David R. Roalf, Tyler M. Moore, David A. Wolk, Steven E. Arnold, Dawn Mechanic‐Hamilton, Jacqueline Rick, (unknown), Kosha Ruparel, Alice Chen‐Plotkin, Lana M. Chahine, Nabila Dahodwala, John E. Duda, Daniel Weintraub, Paul Moberg	1
15	Subject-level measurement of local cortical coupling 2016 ·NeuroImage ·Simon Vandekar, Russell T. Shinohara, Armin Raznahan, Ryan Hopson, David R. Roalf, Kosha Ruparel, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite	16
16	Development of an itemwise efficiency scoring method: Concurrent, convergent, discriminant, and neuroimaging-based predictive validity assessed in a large community sample. 2016 ·Psychological Assessment ·Tyler M. Moore, Steven P. Reise, David R. Roalf, Theodore D. Satterthwaite, Christos Davatzikos, Warren B. Bilker, Allison M. Port, Chad Jackson, Kosha Ruparel, Adam Savitt, (unknown), Raquel E. Gur, Ruben C. Gur	7
17	Heritability of Subcortical and Limbic Brain Volume and Shape in Multiplex-Multigenerational Families with Schizophrenia 2014 ·Biological Psychiatry ·David R. Roalf, Simon Vandekar, Laura Almasy, Kosha Ruparel, Theodore D. Satterthwaite, Mark A. Elliott, Jamie Podell, Sean Gallagher, Chad Jackson, Konasale M. Prasad, Joel Wood, Michael F. Pogue‐Geile, Vishwajit L. Nimgaonkar, Ruben C. Gur, Raquel E. Gur	27
18	Incidental Findings in Youths Volunteering for Brain MRI Research 2013 ·American Journal of Neuroradiology ·Raquel E. Gur, (unknown), Elias R. Melhem, Kosha Ruparel, Karthik Prabhakaran, (unknown), (unknown), Håkon Håkonarson, Theodore D. Satterthwaite, Ruben C. Gur	56
19	The Vascular Marker Soluble Fms-Like Tyrosine Kinase 1 Is Associated With Disease Severity and Adverse Outcomes in Chronic Heart Failure 2011 ·Journal of the American College of Cardiology ·Bonnie Ky, Benjamin French, Kosha Ruparel, Nancy K. Sweitzer, James C. Fang, Wayne C. Levy, Douglas B. Sawyer, Thomas P. Cappola	62
20	Acute Effect of Methadone Maintenance Dose on Brain fMRI Response to Heroin-Related Cues 2007 ·American Journal of Psychiatry ·Daniel D. Langleben, Kosha Ruparel, Igor Elman, (unknown), (unknown), James Loughead, Charles P. O’Brien, (unknown)	148

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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