Anusha Allawala

513 total citations
16 papers, 200 citations indexed

About

Anusha Allawala is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Anusha Allawala has authored 16 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 10 papers in Neurology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Anusha Allawala's work include Neurological disorders and treatments (10 papers), EEG and Brain-Computer Interfaces (6 papers) and Functional Brain Connectivity Studies (6 papers). Anusha Allawala is often cited by papers focused on Neurological disorders and treatments (10 papers), EEG and Brain-Computer Interfaces (6 papers) and Functional Brain Connectivity Studies (6 papers). Anusha Allawala collaborates with scholars based in United States. Anusha Allawala's co-authors include Sameer A. Sheth, Wayne K. Goodman, David A. Borton, Jeffrey F. Cohn, Kelly R. Bijanki, Nader Pouratian, Ashwin Viswanathan, Joshua A. Adkinson, Raissa Mathura and Brian Metzger and has published in prestigious journals such as Scientific Reports, Biological Psychiatry and Neurosurgery.

In The Last Decade

Anusha Allawala

13 papers receiving 200 citations

Peers

Anusha Allawala
Sinem Balta Beylergil United States
Nicole R. Provenza United States
Vineet Tiruvadi United States
Raissa Mathura United States
Sinem Balta Beylergil United States
Anusha Allawala
Citations per year, relative to Anusha Allawala Anusha Allawala (= 1×) peers Sinem Balta Beylergil

Countries citing papers authored by Anusha Allawala

Since Specialization
Citations

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

Fields of papers citing papers by Anusha Allawala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anusha Allawala

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

All Works

16 of 16 papers shown
1.
Kabotyanski, Katherine E., Han‐Gyol Yi, Brian Robinson, et al.. (2025). 1161 Identifying Ethologically Relevant Neurobehavioral Biomarkers of Emotional State. Neurosurgery. 71(Supplement_1). 183–184.
2.
Allawala, Anusha, Kelly R. Bijanki, Joshua A. Adkinson, et al.. (2024). Stereo-Electroencephalography–Guided Network Neuromodulation for Psychiatric Disorders: The Neurophysiology Monitoring Unit. Operative Neurosurgery. 27(3). 329–336.
3.
Allawala, Anusha, Kelly R. Bijanki, Raissa Mathura, et al.. (2024). Prefrontal network engagement by deep brain stimulation in limbic hubs. Frontiers in Human Neuroscience. 17. 1291315–1291315. 2 indexed citations
4.
Metzger, Brian, Raissa Mathura, Carl D. Hacker, et al.. (2024). Brain mechanisms underlying the emotion processing bias in treatment-resistant depression. Nature Mental Health. 2(5). 583–592. 8 indexed citations
5.
Bijanki, Kelly R., Brian Metzger, Joshua A. Adkinson, et al.. (2023). Intracranial electrophysiology helps define pathological networks and optimize stimulation approaches in deep brain stimulation for treatment-resistant depression. Brain stimulation. 16(1). 132–132. 1 indexed citations
6.
Allawala, Anusha, Raissa Mathura, Harrison Ritz, et al.. (2023). 208 DBS-Induced Improvement in Cognitive Control is Mediated by Theta Oscillations in Human Intracranial Recordings. Neurosurgery. 69(Supplement_1). 36–36. 2 indexed citations
7.
Adkinson, Joshua A., Evangelia Tsolaki, Sameer A. Sheth, et al.. (2022). Imaging versus electrographic connectivity in human mood-related fronto-temporal networks. Brain stimulation. 15(3). 554–565. 17 indexed citations
8.
Bijanki, Kelly R., Brian Metzger, Joshua A. Adkinson, et al.. (2022). Stereotactic EEG Helps Define Networks and Optimize Stimulation Parameter Selection in DBS for Treatment-Resistant Depression (TRD).. Biological Psychiatry. 91(9). S43–S43.
9.
Metzger, Brian D., Raissa Mathura, Anusha Allawala, et al.. (2022). 334 Phase Synchrony within the Right Prefrontal Cortex Predicts Severity of Major Depression. Neurosurgery. 68(Supplement_1). 76–77. 1 indexed citations
10.
Sheth, Sameer A., Kelly R. Bijanki, Brian Metzger, et al.. (2021). Deep Brain Stimulation for Depression Informed by Intracranial Recordings. Biological Psychiatry. 92(3). 246–251. 77 indexed citations
11.
Allawala, Anusha, Kelly R. Bijanki, Wayne K. Goodman, et al.. (2021). A Novel Framework for Network-Targeted Neuropsychiatric Deep Brain Stimulation. Neurosurgery. 89(2). E116–E121. 28 indexed citations
12.
Provenza, Nicole R., Jonathan S. Calvert, Ro’ee Gilron, et al.. (2021). Uncovering biomarkers during therapeutic neuromodulation with PARRM: Period-based Artifact Reconstruction and Removal Method. Cell Reports Methods. 1(2). 100010–100010. 17 indexed citations
13.
Powell, Marc, Juan Ansó, Ro’ee Gilron, et al.. (2020). NeuroDAC: an open-source arbitrary biosignal waveform generator. Journal of Neural Engineering. 18(1). 16010–16010. 2 indexed citations
14.
Allawala, Anusha, et al.. (2020). Automated and rapid self-report of nociception in transgenic mice. Scientific Reports. 10(1). 13215–13215. 1 indexed citations
15.
Provenza, Nicole R., Anusha Allawala, Sameer A. Sheth, et al.. (2019). The Case for Adaptive Neuromodulation to Treat Severe Intractable Mental Disorders. Frontiers in Neuroscience. 13. 152–152. 41 indexed citations
16.
Allawala, Anusha, et al.. (2018). Lipopolysaccharide‐induced inflammation does not alter muscle spindle afferent mechanosensation or sensory integration in the spinal cord of adult mice. Physiological Reports. 6(17). e13812–e13812. 3 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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