Venkatagiri Krishnamurthy

864 total citations
45 papers, 608 citations indexed

About

Venkatagiri Krishnamurthy is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Venkatagiri Krishnamurthy has authored 45 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 14 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Neurology. Recurrent topics in Venkatagiri Krishnamurthy's work include Functional Brain Connectivity Studies (18 papers), Advanced MRI Techniques and Applications (12 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Venkatagiri Krishnamurthy is often cited by papers focused on Functional Brain Connectivity Studies (18 papers), Advanced MRI Techniques and Applications (12 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Venkatagiri Krishnamurthy collaborates with scholars based in United States, Australia and Canada. Venkatagiri Krishnamurthy's co-authors include Kaundinya Gopinath, Ihab Kamel, Bruce Crosson, Lisa C. Krishnamurthy, Yen Wei, Keith McGregor, Joe R. Nocera, C. R. Helms, Lawrence W. Barsalou and Lauren A. M. Lebois and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Venkatagiri Krishnamurthy

41 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Venkatagiri Krishnamurthy United States 13 263 111 78 69 65 45 608
Wolfgang Freund Germany 17 172 0.7× 97 0.9× 93 1.2× 64 0.9× 68 1.0× 76 810
Shinya Fujii Japan 21 625 2.4× 100 0.9× 75 1.0× 32 0.5× 62 1.0× 72 1.1k
Penghong Liu China 18 360 1.4× 126 1.1× 90 1.2× 50 0.7× 124 1.9× 37 1.1k
Huijin Song South Korea 21 534 2.0× 143 1.3× 51 0.7× 53 0.8× 124 1.9× 54 1.2k
Edward G. Walsh United States 15 339 1.3× 131 1.2× 78 1.0× 41 0.6× 36 0.6× 35 1.4k
Florian Krause Germany 15 237 0.9× 49 0.4× 45 0.6× 32 0.5× 19 0.3× 32 564
Eunsoo Moon South Korea 19 112 0.4× 185 1.7× 41 0.5× 31 0.4× 291 4.5× 107 1.1k
M. Jung South Korea 12 94 0.4× 28 0.3× 209 2.7× 92 1.3× 69 1.1× 47 950
Naoko Kishimoto Japan 16 249 0.9× 119 1.1× 21 0.3× 16 0.2× 166 2.6× 84 707
Tsuyoshi Kawamura Japan 16 330 1.3× 63 0.6× 57 0.7× 77 1.1× 53 0.8× 58 980

Countries citing papers authored by Venkatagiri Krishnamurthy

Since Specialization
Citations

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

Fields of papers citing papers by Venkatagiri Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Venkatagiri Krishnamurthy

This figure shows the co-authorship network connecting the top 25 collaborators of Venkatagiri Krishnamurthy. A scholar is included among the top collaborators of Venkatagiri Krishnamurthy 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 Venkatagiri Krishnamurthy. Venkatagiri Krishnamurthy 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.
Krishnamurthy, Venkatagiri & Lisa C. Krishnamurthy. (2025). CBF gradient and excitatory-inhibitory balance measured from pre-SMA – importance in aging and semantic fluency task difficulties. NeuroImage. 320. 121451–121451.
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3.
Krishnamurthy, Lisa C., et al.. (2023). ASL MRI informs blood flow to chronic stroke lesions in patients with aphasia. Frontiers in Physiology. 14. 1240992–1240992.
4.
Wakeman, Daniel G., Keith McGregor, Venkatagiri Krishnamurthy, et al.. (2023). Urinary incontinence‐related effects on functional connectivity circuits in persons with Parkinson's disease. Neurourology and Urodynamics. 42(8). 1694–1701. 1 indexed citations
5.
Kundu, Suprateek, et al.. (2023). Bayesian longitudinal tensor response regression for modeling neuroplasticity. Human Brain Mapping. 44(18). 6326–6348. 2 indexed citations
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Krishnamurthy, Venkatagiri, et al.. (2022). The Relationship Between Resting Cerebral Blood Flow, Neurometabolites, Cardio-Respiratory Fitness and Aging-Related Cognitive Decline. Frontiers in Psychiatry. 13. 923076–923076. 11 indexed citations
8.
Krishnamurthy, Venkatagiri, et al.. (2020). A method to mitigate spatio‐temporally varying task‐correlated motion artifacts from overt‐speech fMRI paradigms in aphasia. Human Brain Mapping. 42(4). 1116–1129. 7 indexed citations
9.
Krishnamurthy, Venkatagiri, Lisa C. Krishnamurthy, Suprateek Kundu, et al.. (2020). Correcting Task fMRI Signals for Variability in Baseline CBF Improves BOLD-Behavior Relationships: A Feasibility Study in an Aging Model. Frontiers in Neuroscience. 14. 336–336. 15 indexed citations
10.
Sathian, K., Bruce Crosson, Venkatagiri Krishnamurthy, et al.. (2019). Internally Guided Lower Limb Movement Recruits Compensatory Cerebellar Activity in People With Parkinson's Disease. Frontiers in Neurology. 10. 537–537. 24 indexed citations
11.
Gopinath, Kaundinya, Venkatagiri Krishnamurthy, & K. Sathian. (2018). Accounting for Non-Gaussian Sources of Spatial Correlation in Parametric Functional Magnetic Resonance Imaging Paradigms I: Revisiting Cluster-Based Inferences. Brain Connectivity. 8(1). 1–9. 10 indexed citations
12.
McGregor, Keith, G. Andrew James, Kaundinya Gopinath, et al.. (2018). Task-residual functional connectivity of language and attention networks. Brain and Cognition. 122. 52–58. 16 indexed citations
13.
McGregor, Keith, Bruce Crosson, Lisa C. Krishnamurthy, et al.. (2018). Effects of a 12-Week Aerobic Spin Intervention on Resting State Networks in Previously Sedentary Older Adults. Frontiers in Psychology. 9. 2376–2376. 36 indexed citations
14.
Hackney, Madeleine E., Venkatagiri Krishnamurthy, Lisa C. Krishnamurthy, et al.. (2018). 2334 Neural correlates of externally Versus internally guided dance-based therapies for people with Parkinson’s disease. Journal of Clinical and Translational Science. 2(S1). 21–21. 1 indexed citations
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Crosson, Bruce, Benjamin M. Hampstead, Lisa C. Krishnamurthy, et al.. (2017). Advances in neurocognitive rehabilitation research from 1992 to 2017: The ascension of neural plasticity.. Neuropsychology. 31(8). 900–920. 15 indexed citations
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Gopinath, Kaundinya, et al.. (2015). Hubs of Anticorrelation in High-Resolution Resting-State Functional Connectivity Network Architecture. Brain Connectivity. 5(5). 267–275. 46 indexed citations
19.
Lebois, Lauren A. M., Esther K. Papies, Kaundinya Gopinath, et al.. (2015). A shift in perspective: Decentering through mindful attention to imagined stressful events. Neuropsychologia. 75. 505–524. 77 indexed citations
20.
Krishnamurthy, Venkatagiri, Yijing Chen, & Seng‐Tiong Ho. (2013). Photonic Transistor Design Principles for Switching Gain <formula formulatype="inline"><tex Notation="TeX">$>=2$</tex> </formula>. Journal of Lightwave Technology. 31(13). 2086–2098. 8 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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