Marina Barysheva

2.0k citations
61 papers · 1.5k indexed · h-index 17

Marina Barysheva

58 papers receiving 1.4k citations

Peers

Marina Barysheva
Comparison fields: 5 of 97
  • Computational Mathematics 50
  • Radiology, Nuclear Medicine and Imaging 898
  • Cognitive Neuroscience 719
  • Psychiatry and Mental health 262
  • Pediatrics, Perinatology and Child Health 237
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Andrea D. Klunder United States
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Citations per field
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Citations per year

Countries citing papers authored by Marina Barysheva

Since Specialization
Citations

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

Fields of papers citing papers by Marina Barysheva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Marina Barysheva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marina Barysheva Line = papers co-authored together Marina Barysheva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
A commonly carried genetic variant in the delta opioid receptor gene, OPRD1, is associated with smaller regional brain volumes: Replication in elderly and young populations
20143
2
Relationship of a variant in the NTRK1 gene to white matter microstructure in young adults
20122
3
Sex differences in the human connectome: 4-Tesla high angular resolution diffusion imaging (HARDI) tractography in 234 young adult twins
201114
4 2011133
5 20101
6 20101
7
Genetic analysis of high angular resolution diffusion images (HARDI)
20101
8 2010105
9 20106
10 2009288
11 200966
12 200914
13 200912
14 200927
15 200958
16
Quantitative genetic modeling of lateral ventricular shape and volume using multi-atlas fluid image alignment in twins
20081
17
Mapping genetic influences on brain fiber architecture with High Angular Resolution Diffusion Imaging (HARDI)
20085
18
A new registration method based on Log-Euclidean tensor metrics and its application to genetic studies
20081
19 200823
20 20087

About Marina Barysheva

Marina Barysheva is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (54 papers), Fetal and Pediatric Neurological Disorders (17 papers), Functional Brain Connectivity Studies (17 papers), Advanced MRI Techniques and Applications (16 papers), MRI in cancer diagnosis (8 papers), Morphological variations and asymmetry (8 papers), Tensor decomposition and applications (8 papers) and Medical Image Segmentation Techniques (7 papers). The work is most often cited by research in Computational Mathematics (50 citations), Radiology, Nuclear Medicine and Imaging (898 citations) and Cognitive Neuroscience (719 citations). Marina Barysheva has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Paul M. Thompson, Greig I. de Zubicaray, Katie L. McMahon, Margaret J. Wright, Arthur W. Toga, Agatha D. Lee, Neda Jahanshad, Nicholas G. Martin, Andrea D. Klunder and Natasha Leporé. Their work appears in journals such as Journal of Neuroscience, NeuroImage and IEEE Transactions on Medical Imaging.

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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