Kimberly A. Stephens

468 total citations
10 papers, 300 citations indexed

About

Kimberly A. Stephens is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Kimberly A. Stephens has authored 10 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Biomedical Engineering and 3 papers in Cognitive Neuroscience. Recurrent topics in Kimberly A. Stephens's work include Advanced Neuroimaging Techniques and Applications (5 papers), Optical Imaging and Spectroscopy Techniques (4 papers) and Functional Brain Connectivity Studies (3 papers). Kimberly A. Stephens is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (5 papers), Optical Imaging and Spectroscopy Techniques (4 papers) and Functional Brain Connectivity Studies (3 papers). Kimberly A. Stephens collaborates with scholars based in United States, China and Netherlands. Kimberly A. Stephens's co-authors include David H. Salat, Stefan A. Carp, Maria Angela Franceschini, Chan Mi Kim, Davide Tamborini, Randy L. Buckner, Oleg Shatrovoy, Megan Blackwell, Meher R. Juttukonda and Essa Yacoub and has published in prestigious journals such as NeuroImage, Stroke and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Kimberly A. Stephens

10 papers receiving 294 citations

Peers

Kimberly A. Stephens
Baoqiang Li United States
Bertan Hallacoglu United States
Syed Salman Shahid United States
P.T. Wall United Kingdom
Baoqiang Li United States
Kimberly A. Stephens
Citations per year, relative to Kimberly A. Stephens Kimberly A. Stephens (= 1×) peers Baoqiang Li

Countries citing papers authored by Kimberly A. Stephens

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly A. Stephens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly A. Stephens. 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 Kimberly A. Stephens. The network helps show where Kimberly A. Stephens may publish in the future.

Co-authorship network of co-authors of Kimberly A. Stephens

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

All Works

10 of 10 papers shown
1.
Juttukonda, Meher R., Kimberly A. Stephens, Yi‐Fen Yen, et al.. (2022). Oxygen extraction efficiency and white matter lesion burden in older adults exhibiting radiological evidence of capillary shunting. Journal of Cerebral Blood Flow & Metabolism. 42(10). 1933–1943. 9 indexed citations
2.
Perdue, Katherine L., Suk‐Tak Chan, Kimberly A. Stephens, et al.. (2022). Complete head cerebral sensitivity mapping for diffuse correlation spectroscopy using subject-specific magnetic resonance imaging models. Biomedical Optics Express. 13(3). 1131–1131. 28 indexed citations
3.
Jung, Keun‐Hwa, Kimberly A. Stephens, Joost M. Riphagen, et al.. (2021). Heterogeneity of Cerebral White Matter Lesions and Clinical Correlates in Older Adults. Stroke. 52(2). 620–630. 22 indexed citations
4.
Juttukonda, Meher R., Binyin Li, Kimberly A. Stephens, et al.. (2021). Characterizing cerebral hemodynamics across the adult lifespan with arterial spin labeling MRI data from the Human Connectome Project-Aging. NeuroImage. 230. 117807–117807. 52 indexed citations
5.
Chan, Suk‐Tak, Davide Tamborini, Kimberly A. Stephens, et al.. (2021). Improved accuracy of cerebral blood flow quantification in the presence of systemic physiology cross-talk using multi-layer Monte Carlo modeling. Neurophotonics. 8(1). 15001–15001. 34 indexed citations
6.
Carp, Stefan A., Davide Tamborini, Kuan-Cheng Wu, et al.. (2020). Diffuse correlation spectroscopy measurements of blood flow using 1064 nm light. Journal of Biomedical Optics. 25(9). 57 indexed citations
7.
Kim, Chan Mi, Kimberly A. Stephens, Hsiao‐Ying Wey, et al.. (2019). Associations between cerebral blood flow and structural and functional brain imaging measures in individuals with neuropsychologically defined mild cognitive impairment. Neurobiology of Aging. 86. 64–74. 38 indexed citations
8.
Wang, Zhuonan, Victoria J. Williams, Kimberly A. Stephens, et al.. (2019). The effect of white matter signal abnormalities on default mode network connectivity in mild cognitive impairment. Human Brain Mapping. 41(5). 1237–1248. 19 indexed citations
9.
Tamborini, Davide, Kimberly A. Stephens, Andrew M. Siegel, et al.. (2019). Portable System for Time-Domain Diffuse Correlation Spectroscopy. IEEE Transactions on Biomedical Engineering. 66(11). 3014–3025. 30 indexed citations
10.
Stephens, Kimberly A., et al.. (2016). What does body size mean, from the “plant's eye view”?. Ecology and Evolution. 6(20). 7344–7351. 11 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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