Ausaf Bari

2.7k total citations
54 papers, 1.7k citations indexed

About

Ausaf Bari is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Ausaf Bari has authored 54 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Neurology, 22 papers in Cellular and Molecular Neuroscience and 22 papers in Cognitive Neuroscience. Recurrent topics in Ausaf Bari's work include Neurological disorders and treatments (22 papers), Neuroscience and Neural Engineering (10 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Ausaf Bari is often cited by papers focused on Neurological disorders and treatments (22 papers), Neuroscience and Neural Engineering (10 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Ausaf Bari collaborates with scholars based in United States, Canada and Italy. Ausaf Bari's co-authors include R. Christopher Pierce, Sharon M. Anderson, Nader Pouratian, Roger D. Spealman, James K. Rowlett, Andrés M. Lozano, Gary Aston‐Jones, Eric Behnke, Antonio A. F. DeSalles and Zhong Zheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Ausaf Bari

52 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ausaf Bari United States 19 869 483 441 352 154 54 1.7k
Tanja Schmitz‐Hübsch Germany 21 927 1.1× 320 0.7× 1.1k 2.4× 579 1.6× 195 1.3× 80 2.2k
Ferdinando Sartucci Italy 28 380 0.4× 651 1.3× 456 1.0× 342 1.0× 142 0.9× 128 2.2k
Martin Südmeyer Germany 30 560 0.6× 727 1.5× 1.4k 3.2× 183 0.5× 266 1.7× 88 2.4k
William Zhu United States 10 524 0.6× 430 0.9× 1.8k 4.2× 378 1.1× 146 0.9× 17 2.7k
Diego Minciacchi Italy 24 638 0.7× 652 1.3× 206 0.5× 307 0.9× 76 0.5× 77 1.5k
Hiroshi Mitoma Japan 30 1.2k 1.3× 283 0.6× 1.3k 3.0× 483 1.4× 56 0.4× 113 2.6k
Sarah H. Ying United States 21 544 0.6× 201 0.4× 505 1.1× 355 1.0× 256 1.7× 53 1.5k
Walter Pirker Austria 35 1.5k 1.7× 519 1.1× 2.2k 4.9× 367 1.0× 278 1.8× 75 3.9k
K. Jürgen Germany 15 471 0.5× 550 1.1× 416 0.9× 181 0.5× 172 1.1× 26 1.5k
Roman Schniepp Germany 33 544 0.6× 361 0.7× 429 1.0× 381 1.1× 43 0.3× 84 2.5k

Countries citing papers authored by Ausaf Bari

Since Specialization
Citations

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

Fields of papers citing papers by Ausaf Bari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ausaf Bari

This figure shows the co-authorship network connecting the top 25 collaborators of Ausaf Bari. A scholar is included among the top collaborators of Ausaf Bari 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 Ausaf Bari. Ausaf Bari 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
2.
Chivukula, Srinivas, Tyson Aflalo, Emily R. Rosario, et al.. (2024). Population encoding of observed and actual somatosensations in the human posterior parietal cortex. Proceedings of the National Academy of Sciences. 122(1). e2316012121–e2316012121.
3.
Avecillas-Chasín, Josué M., S. Rock Levinson, Taylor Kuhn, et al.. (2023). Connectivity-based parcellation of the amygdala and identification of its main white matter connections. Scientific Reports. 13(1). 1305–1305. 7 indexed citations
4.
Aflalo, Tyson, Jorge Gámez, Emily R. Rosario, et al.. (2023). Decoding and geometry of ten finger movements in human posterior parietal cortex and motor cortex. Journal of Neural Engineering. 20(3). 36020–36020. 13 indexed citations
5.
Levinson, S. Rock, Michelle Miller, Josué M. Avecillas-Chasín, et al.. (2023). A structural connectivity atlas of limbic brainstem nuclei. SHILAP Revista de lepidopterología. 1. 1009399–1009399. 10 indexed citations
6.
Nariai, Hiroki, Dawn Eliashiv, Aria Fallah, et al.. (2023). Structural connections of the centromedian nucleus of thalamus and their relevance for neuromodulation in generalized drug-resistant epilepsy: insight from a tractography study. Therapeutic Advances in Neurological Disorders. 16. 4223483152–4223483152. 14 indexed citations
7.
Miyakoshi, Makoto, Samuel S. Ahn, H. Westley Phillips, et al.. (2023). Characteristics of ictal thalamic EEG in pediatric-onset neocortical focal epilepsy. Clinical Neurophysiology. 154. 116–125. 11 indexed citations
8.
Tsolaki, Evangelia, et al.. (2022). Imaging as a Pain Biomarker. Neurosurgery Clinics of North America. 33(3). 345–350. 2 indexed citations
9.
Tsolaki, Evangelia, et al.. (2021). Deep Brain Stimulation of the Subgenual Cingulate Cortex for the Treatment of Chronic Low Back Pain. Neuromodulation Technology at the Neural Interface. 25(2). 202–210. 9 indexed citations
10.
Meknatkhah, Sogol, Armin Aryannejad, Mohammad Ghafouri, et al.. (2021). Biofluid Biomarkers in Traumatic Brain Injury: A Systematic Scoping Review. Neurocritical Care. 35(2). 559–572. 31 indexed citations
11.
Murray, Stuart B., Michael Strober, Reza Tadayonnejad, Ausaf Bari, & Jamie D. Feusner. (2020). Neurosurgery and neuromodulation for anorexia nervosa in the 21st century: a systematic review of treatment outcomes. Eating Disorders. 30(1). 26–53. 18 indexed citations
12.
Tadayonnejad, Reza, Andrew Wilson, Juliana Corlier, et al.. (2020). Sequential multi-locus transcranial magnetic stimulation for treatment of obsessive-compulsive disorder with comorbid major depression: A case series. Brain stimulation. 13(6). 1600–1602. 8 indexed citations
13.
Albano, Luigi, et al.. (2020). Symptomatic Pneumocephalus after Deep Brain Stimulation Surgery: Report of 2 Cases. Stereotactic and Functional Neurosurgery. 98(1). 30–36. 2 indexed citations
14.
Bari, Ausaf, S. Rock Levinson, Bayard Wilson, et al.. (2020). Amygdala Structural Connectivity Is Associated With Impulsive Choice and Difficulty Quitting Smoking. Frontiers in Behavioral Neuroscience. 14. 117–117. 5 indexed citations
15.
Bari, Ausaf, et al.. (2018). Current and Expected Advances in Deep Brain Stimulation for Movement Disorders. Progress in neurological surgery. 33. 222–229. 16 indexed citations
16.
Bari, Ausaf, et al.. (2018). Neuromodulation for substance addiction in human subjects: A review. Neuroscience & Biobehavioral Reviews. 95. 33–43. 30 indexed citations
17.
McLaughlin, Nancy, Neil A. Martin, Ausaf Bari, et al.. (2014). Assessing the cost of contemporary pituitary care. Neurosurgical FOCUS. 37(5). E7–E7. 15 indexed citations
18.
Bari, Ausaf, Tianyi Niu, Jean‐Philippe Langevin, & Itzhak Fried. (2013). Limbic Neuromodulation. Neurosurgery Clinics of North America. 25(1). 137–145. 11 indexed citations
19.
Bari, Ausaf & Gary Aston‐Jones. (2012). Atomoxetine modulates spontaneous and sensory-evoked discharge of locus coeruleus noradrenergic neurons. Neuropharmacology. 64. 53–64. 65 indexed citations
20.
Pierce, R. Christopher & Ausaf Bari. (2001). The Role of Neurotrophic Factors in Psychostimulant-induced Behavioral and Neuronal Plasticity. Reviews in the Neurosciences. 12(2). 95–110. 98 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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