Uma Yezhuvath

1.6k total citations
21 papers, 1.2k citations indexed

About

Uma Yezhuvath is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Uma Yezhuvath has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 9 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Neurology. Recurrent topics in Uma Yezhuvath's work include Functional Brain Connectivity Studies (10 papers), Advanced MRI Techniques and Applications (8 papers) and Optical Imaging and Spectroscopy Techniques (4 papers). Uma Yezhuvath is often cited by papers focused on Functional Brain Connectivity Studies (10 papers), Advanced MRI Techniques and Applications (8 papers) and Optical Imaging and Spectroscopy Techniques (4 papers). Uma Yezhuvath collaborates with scholars based in United States, Netherlands and Japan. Uma Yezhuvath's co-authors include Hanzhang Lu, Jinsoo Uh, Feng Xu, Francesca M. Filbey, Matthias J.P. van Osch, Sina Aslan, Yamei Cheng, Guanghua Xiao, Matthew R. Brier and Yihong Yang and has published in prestigious journals such as NeuroImage, Journal of Applied Physiology and Magnetic Resonance in Medicine.

In The Last Decade

Uma Yezhuvath

20 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uma Yezhuvath United States 15 673 422 230 178 176 21 1.2k
Thomas W. Okell United Kingdom 24 1.3k 2.0× 468 1.1× 227 1.0× 360 2.0× 188 1.1× 76 2.1k
Claudine Gauthier Canada 24 1.1k 1.7× 797 1.9× 133 0.6× 124 0.7× 262 1.5× 62 1.7k
Binu P. Thomas United States 19 394 0.6× 345 0.8× 153 0.7× 150 0.8× 172 1.0× 44 1.0k
Matthew Clemence United Kingdom 18 1.4k 2.1× 407 1.0× 136 0.6× 91 0.5× 279 1.6× 32 2.0k
Kaike K. Kaisti Finland 20 276 0.4× 648 1.5× 283 1.2× 62 0.3× 168 1.0× 29 1.8k
Kojiro Ide Canada 16 670 1.0× 591 1.4× 461 2.0× 208 1.2× 692 3.9× 25 2.1k
Jinping Xu China 18 308 0.5× 688 1.6× 114 0.5× 58 0.3× 106 0.6× 32 1.1k
Jaakko Långsjö Finland 21 257 0.4× 628 1.5× 312 1.4× 49 0.3× 132 0.8× 34 1.7k
Rongfeng Qi China 29 706 1.0× 1.1k 2.6× 102 0.4× 52 0.3× 102 0.6× 88 2.0k
Avijit Datta United Kingdom 20 109 0.2× 632 1.5× 245 1.1× 154 0.9× 110 0.6× 46 1.5k

Countries citing papers authored by Uma Yezhuvath

Since Specialization
Citations

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

Fields of papers citing papers by Uma Yezhuvath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uma Yezhuvath

This figure shows the co-authorship network connecting the top 25 collaborators of Uma Yezhuvath. A scholar is included among the top collaborators of Uma Yezhuvath 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 Uma Yezhuvath. Uma Yezhuvath 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.
Ritz, Thomas, Juliet L. Kroll, David A. Khan, et al.. (2024). fMRI BOLD responses to film stimuli and their association with exhaled nitric oxide in asthma and health. Psychophysiology. 61(5). e14513–e14513.
2.
3.
Ritz, Thomas, Juliet L. Kroll, Justin R. Chen, et al.. (2019). Central nervous system signatures of affect in asthma: associations with emotion-induced bronchoconstriction, airway inflammation, and asthma control. Journal of Applied Physiology. 126(6). 1725–1736. 25 indexed citations
4.
Motes, Michael A., Uma Yezhuvath, Sina Aslan, et al.. (2017). Higher-order cognitive training effects on processing speed–related neural activity: a randomized trial. Neurobiology of Aging. 62. 72–81. 45 indexed citations
5.
Filbey, Francesca M. & Uma Yezhuvath. (2016). A multimodal study of impulsivity and body weight: Integrating behavioral, cognitive, and neuroimaging approaches. Obesity. 25(1). 147–154. 19 indexed citations
6.
Ewing, Sarah W. Feldstein, et al.. (2015). The impact of therapists’ words on the adolescent brain: In the context of addiction treatment. Behavioural Brain Research. 297. 359–369. 10 indexed citations
7.
Lu, Hanzhang, et al.. (2014). MRI Mapping of Cerebrovascular Reactivity via Gas Inhalation Challenges. Journal of Visualized Experiments. 63 indexed citations
8.
Ewing, Sarah W. Feldstein, Uma Yezhuvath, Jon M. Houck, & Francesca M. Filbey. (2014). Brain-based origins of change language: A beginning. Addictive Behaviors. 39(12). 1904–1910. 13 indexed citations
9.
Lu, Hanzhang, et al.. (2014). MRI Mapping of Cerebrovascular Reactivity via Gas Inhalation Challenges. Journal of Visualized Experiments. 34 indexed citations
10.
Thomas, Binu P., Uma Yezhuvath, B. Tseng, et al.. (2013). Life‐long aerobic exercise preserved baseline cerebral blood flow but reduced vascular reactivity to CO2. Journal of Magnetic Resonance Imaging. 38(5). 1177–1183. 131 indexed citations
11.
Ewing, Sarah W. Feldstein, et al.. (2012). A preliminary examination of how serotonergic polymorphisms influence brain response following an adolescent cannabis intervention. Psychiatry Research Neuroimaging. 204(2-3). 112–116. 16 indexed citations
12.
Ewing, Sarah W. Feldstein, Amber D. McEachern, Uma Yezhuvath, et al.. (2012). Integrating brain and behavior: Evaluating adolescents’ response to a cannabis intervention.. Psychology of Addictive Behaviors. 27(2). 510–525. 50 indexed citations
13.
Aslan, Sina, Feng Xu, Jinsoo Uh, et al.. (2010). Estimation of labeling efficiency in pseudocontinuous arterial spin labeling. Magnetic Resonance in Medicine. 63(3). 765–771. 221 indexed citations
14.
Yezhuvath, Uma, Jinsoo Uh, Yamei Cheng, et al.. (2010). Forebrain-dominant deficit in cerebrovascular reactivity in Alzheimer's disease. Neurobiology of Aging. 33(1). 75–82. 99 indexed citations
15.
Uh, Jinsoo, Uma Yezhuvath, Yamei Cheng, & Hanzhang Lu. (2010). In vivo vascular hallmarks of diffuse leukoaraiosis. Journal of Magnetic Resonance Imaging. 32(1). 184–190. 53 indexed citations
16.
Xu, Feng, Jinsoo Uh, Matthew R. Brier, et al.. (2010). The Influence of Carbon Dioxide on Brain Activity and Metabolism in Conscious Humans. Journal of Cerebral Blood Flow & Metabolism. 31(1). 58–67. 246 indexed citations
17.
Lu, Hanzhang, Uma Yezhuvath, & Guanghua Xiao. (2009). Improving fMRI sensitivity by normalization of basal physiologic state. Human Brain Mapping. 31(1). 80–87. 29 indexed citations
18.
Yezhuvath, Uma, et al.. (2009). On the assessment of cerebrovascular reactivity using hypercapnia BOLD MRI. NMR in Biomedicine. 22(7). 779–786. 127 indexed citations
19.
Uh, Jinsoo, Uma Yezhuvath, Yawei Cheng, et al.. (2009). The Effect of Hypercapnia on Resting State fMRI. NeuroImage. 47. S185–S185. 1 indexed citations
20.
Uh, Jinsoo, et al.. (2009). Perfusion Deficit in Schizophrenia and Correlation with Psychopathological Symptoms. NeuroImage. 47. S157–S157. 2 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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