Kara Garcia

955 total citations
20 papers, 323 citations indexed

About

Kara Garcia is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kara Garcia has authored 20 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Cognitive Neuroscience and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Kara Garcia's work include Functional Brain Connectivity Studies (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Advanced MRI Techniques and Applications (6 papers). Kara Garcia is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Advanced MRI Techniques and Applications (6 papers). Kara Garcia collaborates with scholars based in United States, South Africa and United Kingdom. Kara Garcia's co-authors include Philip V. Bayly, Christopher D. Kroenke, Larry A. Taber, Xiaojie Wang, David C. Van Essen, Timothy S. Coalson, Cynthia Rogers, Matthew F. Glasser, Donna Dierker and Christopher D. Smyser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Kara Garcia

15 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kara Garcia United States 8 106 101 71 63 63 20 323
Elisabetta Genovese Italy 9 49 0.5× 66 0.7× 28 0.4× 39 0.6× 44 0.7× 20 370
Abbas Nasiraei‐Moghaddam Iran 6 29 0.3× 64 0.6× 42 0.6× 123 2.0× 60 1.0× 17 330
Junko Hatta Japan 10 60 0.6× 46 0.5× 12 0.2× 22 0.3× 9 0.1× 28 408
Barclay W. Bakkum United States 12 110 1.0× 43 0.4× 24 0.3× 85 1.3× 29 0.5× 24 509
Dao-Qi Zhang United States 15 51 0.5× 29 0.3× 34 0.5× 408 6.5× 7 0.1× 49 688
Faez Siddiqi United States 6 44 0.4× 83 0.8× 9 0.1× 60 1.0× 81 1.3× 8 483
Christina L. Brunnquell United States 9 14 0.1× 131 1.3× 8 0.1× 34 0.5× 57 0.9× 18 378
Grace McIlvain United States 13 32 0.3× 213 2.1× 21 0.3× 8 0.1× 180 2.9× 22 327
Reika Kono Japan 14 81 0.8× 89 0.9× 10 0.1× 19 0.3× 16 0.3× 32 699
Flaviana Bianco Italy 10 33 0.3× 38 0.4× 25 0.4× 448 7.1× 141 2.2× 15 675

Countries citing papers authored by Kara Garcia

Since Specialization
Citations

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

Fields of papers citing papers by Kara Garcia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kara Garcia

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

All Works

20 of 20 papers shown
1.
Kroenke, Christopher D., et al.. (2025). Measurement of Residual Stress in the Brain. Journal of Biomechanical Engineering. 147(9).
2.
Garcia, Kara, et al.. (2025). Quantifying the timing of gyral and sulcal formation relative to growth in the ferret cerebral cortex. Developmental Neuroscience. 47(6). 1–24. 1 indexed citations
3.
Carson, Kathryn A., Kara Garcia, Natasha N. Ludwig, et al.. (2025). Developmental Progression of Inhibitory Control and Flexible Problem-solving Among Infants with Histories of Preterm Birth. Developmental Neuroscience. 1–17.
4.
Garcia, Kara, Christopher D. Kroenke, & Philip V. Bayly. (2025). Mechanical stress connects cortical folding to fiber organization in the developing brain. Trends in Neurosciences. 48(6). 395–402.
5.
Holloway, Ralph, Heather M. Garvin, Kara Garcia, et al.. (2025). A reanalysis of the Taung endocranial surface: Comparison with large samples of living hominids. Journal of Human Evolution. 200. 103637–103637.
6.
Garcia, Kara, Joshua A Vieth, J.D. Garrett, et al.. (2025). Longitudinal magnetic resonance imaging reveals differences in cortical expansion in fetuses with congenital heart defects. Cerebral Cortex. 35(8).
7.
Alexopoulos, Dimitrios, Jeanette K. Kenley, Rachel E. Lean, et al.. (2024). Children born very preterm experience altered cortical expansion over the first decade of life. Brain Communications. 6(5). fcae318–fcae318. 2 indexed citations
8.
Garcia, Kara, et al.. (2024). Longitudinal MRI of the developing ferret brain reveals regional variations in timing and rate of growth. Cerebral Cortex. 34(4). 3 indexed citations
9.
Bayly, Philip V., et al.. (2023). Effects of stress-dependent growth on evolution of sulcal direction and curvature in models of cortical folding. SHILAP Revista de lepidopterología. 4. 100065–100065. 5 indexed citations
10.
Garcia, Kara, et al.. (2023). Use of SGLT2 Inhibitors Reduces Heart Failure and Hospitalization: A Multicenter, Real-World Evidence Study. The Permanente Journal. 27(1). 77–87. 8 indexed citations
11.
Walter, Christopher, et al.. (2023). Multi-scale measurement of stiffness in the developing ferret brain. Scientific Reports. 13(1). 20583–20583. 7 indexed citations
12.
Garcia, Kara, Xiaojie Wang, & Christopher D. Kroenke. (2021). A model of tension-induced fiber growth predicts white matter organization during brain folding. Nature Communications. 12(1). 6681–6681. 24 indexed citations
13.
14.
Garcia, Kara, et al.. (2021). Enhanced detection of cortical atrophy in Alzheimer's disease using structural MRI with anatomically constrained longitudinal registration. Human Brain Mapping. 42(11). 3576–3592. 10 indexed citations
15.
Garcia, Kara, et al.. (2019). Molecular and mechanical signals determine morphogenesis of the cerebral hemispheres in the chicken embryo. Development. 146(20). 19 indexed citations
16.
Garcia, Kara, et al.. (2019). Surface-based analysis of cortical thickness and volume loss in Alzheimer’s disease. 2(1). 1 indexed citations
17.
Garcia, Kara, Emma C. Robinson, Dimitrios Alexopoulos, et al.. (2018). Dynamic patterns of cortical expansion during folding of the preterm human brain. Proceedings of the National Academy of Sciences. 115(12). 3156–3161. 86 indexed citations
18.
Garcia, Kara, Christopher D. Kroenke, & Philip V. Bayly. (2018). Mechanics of cortical folding: stress, growth and stability. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1759). 20170321–20170321. 104 indexed citations
19.
Garcia, Kara, et al.. (2017). A new hypothesis for foregut and heart tube formation based on differential growth and actomyosin contraction. Development. 144(13). 2381–2391. 32 indexed citations
20.
Garcia, Kara, Ruth J. Okamoto, Philip V. Bayly, & Larry A. Taber. (2016). Contraction and stress-dependent growth shape the forebrain of the early chicken embryo. Journal of the mechanical behavior of biomedical materials. 65. 383–397. 17 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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