Kayle S. Sawyer

942 total citations
27 papers, 620 citations indexed

About

Kayle S. Sawyer is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Kayle S. Sawyer has authored 27 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Epidemiology. Recurrent topics in Kayle S. Sawyer's work include Functional Brain Connectivity Studies (12 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Substance Abuse Treatment and Outcomes (6 papers). Kayle S. Sawyer is often cited by papers focused on Functional Brain Connectivity Studies (12 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Substance Abuse Treatment and Outcomes (6 papers). Kayle S. Sawyer collaborates with scholars based in United States and Australia. Kayle S. Sawyer's co-authors include Marlene Oscar‐Berman, Susan Mosher Ruiz, Gordon J. Harris, Trinity Urban, David A. Gansler, Ksenija Marinković, Nikos Makris, Julie A. Howard, George Papadimitriou and Ryan A. Mace and has published in prestigious journals such as PLoS ONE, Neuropsychopharmacology and eLife.

In The Last Decade

Kayle S. Sawyer

26 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kayle S. Sawyer United States 14 335 165 163 116 89 27 620
Amithrupa Sabbineni United States 10 384 1.1× 92 0.6× 219 1.3× 114 1.0× 98 1.1× 13 663
Anne‐Pascale Le Berre United States 13 421 1.3× 176 1.1× 186 1.1× 148 1.3× 75 0.8× 34 851
Susan Mosher Ruiz United States 10 171 0.5× 123 0.7× 98 0.6× 65 0.6× 43 0.5× 14 376
Daisy G.Y. Thompson-Lake United States 17 189 0.6× 67 0.4× 128 0.8× 158 1.4× 91 1.0× 25 696
Kim E Ono United States 11 482 1.4× 250 1.5× 88 0.5× 266 2.3× 33 0.4× 20 771
Weiwei Chu United States 8 264 0.8× 66 0.4× 82 0.5× 59 0.5× 159 1.8× 10 608
Na Zhong China 18 352 1.1× 82 0.5× 184 1.1× 123 1.1× 34 0.4× 48 777
François Vabret France 15 538 1.6× 254 1.5× 179 1.1× 152 1.3× 65 0.7× 44 1.1k
Nabi Zorlu Türkiye 14 273 0.8× 91 0.6× 93 0.6× 110 0.9× 104 1.2× 43 556
Anna Huang United States 14 517 1.5× 46 0.3× 178 1.1× 173 1.5× 137 1.5× 33 824

Countries citing papers authored by Kayle S. Sawyer

Since Specialization
Citations

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

Fields of papers citing papers by Kayle S. Sawyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayle S. Sawyer

This figure shows the co-authorship network connecting the top 25 collaborators of Kayle S. Sawyer. A scholar is included among the top collaborators of Kayle S. Sawyer 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 Kayle S. Sawyer. Kayle S. Sawyer 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.
2.
John, Yohan J., et al.. (2022). It’s about time: Linking dynamical systems with human neuroimaging to understand the brain. Network Neuroscience. 6(4). 960–979. 28 indexed citations
3.
Mace, Ryan A., David A. Gansler, Kayle S. Sawyer, & Michael K. Suvak. (2021). Age-dependent relationship of cardiorespiratory fitness and white matter integrity. Neurobiology of Aging. 105. 48–56. 5 indexed citations
4.
Oscar‐Berman, Marlene, et al.. (2021). Brain responsivity to emotional faces differs in men and women with and without a history of alcohol use disorder. PLoS ONE. 16(6). e0248831–e0248831. 7 indexed citations
5.
Sawyer, Kayle S., et al.. (2020). Hippocampal subfield volumes in abstinent men and women with a history of alcohol use disorder. PLoS ONE. 15(8). e0236641–e0236641. 17 indexed citations
6.
Sawyer, Kayle S., Nasim Maleki, Trinity Urban, et al.. (2019). Alcoholism gender differences in brain responsivity to emotional stimuli. eLife. 8. 22 indexed citations
7.
Mace, Ryan A., et al.. (2019). Components of executive function model regional prefrontal volumes.. Neuropsychology. 33(7). 1007–1019. 12 indexed citations
8.
Sawyer, Kayle S., et al.. (2019). White matter connectometry among individuals with self-reported family history of drug and alcohol use disorders. Drug and Alcohol Dependence. 206. 107710–107710. 3 indexed citations
9.
Mace, Ryan A., et al.. (2018). Identifying errors in Freesurfer automated skull stripping and the incremental utility of manual intervention. Brain Imaging and Behavior. 13(5). 1281–1291. 22 indexed citations
10.
Sawyer, Kayle S., et al.. (2018). Cognitive, Neuroanatomical, and Genetic Predictors of Executive Function in Healthy Children and Adolescents. Developmental Neuropsychology. 43(7). 535–550. 7 indexed citations
11.
Sawyer, Kayle S., Nasim Maleki, George Papadimitriou, et al.. (2018). Cerebral white matter sex dimorphism in alcoholism: a diffusion tensor imaging study. Neuropsychopharmacology. 43(9). 1876–1883. 27 indexed citations
12.
Sawyer, Kayle S., et al.. (2018). On the impact of interhemispheric white matter: Age, executive functioning, and dedifferentiation in the frontal lobes. International Journal of Geriatric Psychiatry. 33(9). 1271–1279. 1 indexed citations
13.
Sawyer, Kayle S., Sarina Karmacharya, George Papadimitriou, et al.. (2018). Sexually dimorphic structural abnormalities in major connections of the medial forebrain bundle in alcoholism. NeuroImage Clinical. 19. 98–105. 19 indexed citations
14.
Sawyer, Kayle S., et al.. (2017). Gender dimorphism of brain reward system volumes in alcoholism. Psychiatry Research Neuroimaging. 263. 15–25. 33 indexed citations
15.
Ruiz, Susan Mosher, et al.. (2017). Associations Between Personality and Drinking Motives Among Abstinent Adult Alcoholic Men and Women. Alcohol and Alcoholism. 52(4). 496–505. 21 indexed citations
16.
Sawyer, Kayle S., George Papadimitriou, Marlene Oscar‐Berman, et al.. (2016). Alcoholism and sexual dimorphism in the middle longitudinal fascicle: a pilot study. Brain Imaging and Behavior. 11(4). 1006–1017. 10 indexed citations
17.
Ruiz, Susan Mosher, et al.. (2015). Influence of alcoholism and gender on the relationship between personality and drinking motivation. Addiction Science & Clinical Practice. 10(S1). 4 indexed citations
18.
Oscar‐Berman, Marlene, et al.. (2014). Profiles of impaired, spared, and recovered neuropsychologic processes in alcoholism. Handbook of clinical neurology. 125. 183–210. 116 indexed citations
19.
Sawyer, Kayle S., et al.. (2013). Brain volumes and neuropsychological performance are related to current smoking and alcoholism history. Neuropsychiatric Disease and Treatment. 9. 1767–1767. 34 indexed citations
20.
Marinković, Ksenija, Marlene Oscar‐Berman, Trinity Urban, et al.. (2009). Alcoholism and Dampened Temporal Limbic Activation to Emotional Faces. Alcoholism Clinical and Experimental Research. 33(11). 1880–1892. 99 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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