Vibhor Krishna

3.7k total citations
71 papers, 2.4k citations indexed

About

Vibhor Krishna is a scholar working on Neurology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vibhor Krishna has authored 71 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Neurology, 23 papers in Cellular and Molecular Neuroscience and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vibhor Krishna's work include Neurological disorders and treatments (35 papers), Parkinson's Disease Mechanisms and Treatments (18 papers) and Advanced MRI Techniques and Applications (11 papers). Vibhor Krishna is often cited by papers focused on Neurological disorders and treatments (35 papers), Parkinson's Disease Mechanisms and Treatments (18 papers) and Advanced MRI Techniques and Applications (11 papers). Vibhor Krishna collaborates with scholars based in United States, Canada and United Kingdom. Vibhor Krishna's co-authors include Francesco Sammartino, Ali R. Rezai, Krishna Chatterjee, Andrés M. Lozano, Nicolas Kon Kam King, Shigang Xiong, Saswati Hazra, Mojgan Hodaie, Hidekazu Tsukamoto and Jiaohong Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Vibhor Krishna

69 papers receiving 2.4k citations

Peers

Vibhor Krishna

NEURO

CMN

RNMI

Shahram Attarian France

Dong Seok Kim South Korea

Yuishin Izumi Japan

Ammar H. Hawasli United States

Carsten Wessig Germany

Thomas Brinker Germany

Yirui Sun China

Kaan Yağmurlu United States

Yeni H. Yücel Canada

Masazumi Fujii Japan

Shahram Attarian France

Vibhor Krishna

2.0k ×2.1

NEURO

1.5k ×2.3

CMN

503 ×0.9

RNMI

1.2k ×2.6

261 ×0.6

Citations per year, relative to Vibhor Krishna Vibhor Krishna (= 1×) peers Shahram Attarian

Countries citing papers authored by Vibhor Krishna

Since Specialization

Citations

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

Fields of papers citing papers by Vibhor Krishna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vibhor Krishna

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

All Works

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20 of 20 papers shown

Silva, Nicole A., et al.. (2024). The Use of Focused Ultrasound Ablation for Movement Disorders. Magnetic Resonance Imaging Clinics of North America. 32(4). 651–659. 1 indexed citations

Solcà, Marco, Fosco Bernasconi, Mariana Babo-Rebelo, et al.. (2024). Single neurons in the thalamus and subthalamic nucleus process cardiac and respiratory signals in humans. Proceedings of the National Academy of Sciences. 121(11). e2316365121–e2316365121. 13 indexed citations

Cheyuo, Cletus, Jürgen Germann, Kazuaki Yamamoto, et al.. (2024). Probabilistic Refinement of Focused Ultrasound Thalamotomy Targeting for Parkinson's Disease Tremor. Movement Disorders. 39(11). 2004–2013. 3 indexed citations

Krishna, Vibhor, Jesse Mindel, Francesco Sammartino, et al.. (2023). A phase 1 open‐label trial evaluating focused ultrasound unilateral anterior thalamotomy for focal onset epilepsy. Epilepsia. 64(4). 831–842. 22 indexed citations

Kielb, Stephanie, Darrin M. Aase, Erica Dawson, et al.. (2022). Reliable cognitive change following unilateral deep brain stimulation in essential tremor. Applied Neuropsychology Adult. 31(4). 601–605. 3 indexed citations

Pandey, Gaurav, Harshit Singh, Saurabh Chaturvedi, et al.. (2021). Utility of neutrophil CD64 in distinguishing bacterial infection from inflammation in severe alcoholic hepatitis fulfilling SIRS criteria. Scientific Reports. 11(1). 19726–19726. 8 indexed citations

Merola, Aristide, Barbara Kelly Changizi, Lorenzo Rossi, et al.. (2021). New Frontiers for Deep Brain Stimulation: Directionality, Sensing Technologies, Remote Programming, Robotic Stereotactic Assistance, Asleep Procedures, and Connectomics. Frontiers in Neurology. 12. 694747–694747. 22 indexed citations

Merola, Aristide, Alberto Romagnolo, Vibhor Krishna, et al.. (2020). Current Directions in Deep Brain Stimulation for Parkinson’s Disease—Directing Current to Maximize Clinical Benefit. Neurology and Therapy. 9(1). 25–41. 35 indexed citations

Mahajan, Abhimanyu, Lily Wang, Alberto J. Espay, et al.. (2020). Thalamic Deep Brain Stimulation for tremor: The critical role of intraoperative testing. Parkinsonism & Related Disorders. 73. 45–49. 5 indexed citations

10.

Sederberg, Per B., et al.. (2020). Cognitive Task Performance During Titration Predicts Deep Brain Stimulation Treatment Efficacy: Evidence From a Case Study. Frontiers in Psychiatry. 11. 30–30. 5 indexed citations

11.

Sammartino, Francesco, et al.. (2019). Reliability of Intraoperative Testing During Deep Brain Stimulation Surgery. Neuromodulation Technology at the Neural Interface. 23(4). 525–529. 7 indexed citations

12.

Krishna, Vibhor, Francesco Sammartino, & Ali R. Rezai. (2017). A Review of the Current Therapies, Challenges, and Future Directions of Transcranial Focused Ultrasound Technology. JAMA Neurology. 75(2). 246–246. 203 indexed citations

13.

Zibetti, Maurizio, Elena Moro, Vibhor Krishna, et al.. (2016). Low-frequency Subthalamic Stimulation in Parkinson's Disease: Long-term Outcome and Predictors. Brain stimulation. 9(5). 774–779. 48 indexed citations

14.

Krishna, Vibhor, Xing Jin, Yu Jin, et al.. (2013). A Contusion Model of Severe Spinal Cord Injury in Rats. Journal of Visualized Experiments. 30 indexed citations

15.

Krishna, Vibhor, et al.. (2013). Spinal Cord Injury: How Can We Improve the Classification and Quantification of Its Severity and Prognosis?. Journal of Neurotrauma. 31(3). 215–227. 48 indexed citations

16.

Frankel, Bruce, et al.. (2013). Natural History and Risk Factors for Adjacent Vertebral Fractures in the Fracture Intervention Trial. Spine. 38(25). 2201–2207. 6 indexed citations

17.

Krishna, Vibhor, et al.. (2012). Impact of integrated cerebrovascular program on outcomes in patients with intracranial aneurysms. Journal of NeuroInterventional Surgery. 5(3). 264–268. 1 indexed citations

18.

Federici, Thais, Jonathan Riley, Vibhor Krishna, et al.. (2012). Surgical Technique for Spinal Cord Delivery of Therapies: Demonstration of Procedure in Gottingen Minipigs. Journal of Visualized Experiments. e4371–e4371. 20 indexed citations

19.

Hazra, Saswati, Shigang Xiong, Jiaohong Wang, et al.. (2004). Peroxisome Proliferator-activated Receptor γ Induces a Phenotypic Switch from Activated to Quiescent Hepatic Stellate Cells. Journal of Biological Chemistry. 279(12). 11392–11401. 260 indexed citations

20.

Krishna, Vibhor, Krishna Chatterjee, Laird D. Madison, et al.. (1990). Negative and Positive Transcriptional Regulation by Thyroid Hormone Receptor Isoforms. Molecular Endocrinology. 4(10). 1522–1531. 66 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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