Sara K. Inati

3.2k total citations
78 papers, 1.6k citations indexed

About

Sara K. Inati is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sara K. Inati has authored 78 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cognitive Neuroscience, 32 papers in Psychiatry and Mental health and 25 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sara K. Inati's work include Epilepsy research and treatment (31 papers), Neural dynamics and brain function (28 papers) and EEG and Brain-Computer Interfaces (23 papers). Sara K. Inati is often cited by papers focused on Epilepsy research and treatment (31 papers), Neural dynamics and brain function (28 papers) and EEG and Brain-Computer Interfaces (23 papers). Sara K. Inati collaborates with scholars based in United States, Czechia and Netherlands. Sara K. Inati's co-authors include Kareem A. Zaghloul, John H. Wittig, Alex Vaz, William H. Theodore, Nicolas Brunel, Sridevi V. Sarma, Julio I. Chapeton, Robert B. Yaffe, Rafi U. Haque and Matthew S. D. Kerr and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Sara K. Inati

71 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara K. Inati United States 23 1.1k 514 440 135 127 78 1.6k
Eric LaPresto United States 16 948 0.9× 388 0.8× 443 1.0× 181 1.3× 69 0.5× 21 1.5k
Hiroshi Shigeto Japan 21 718 0.6× 351 0.7× 445 1.0× 196 1.5× 160 1.3× 109 1.5k
Anthony L. Ritaccio United States 21 976 0.9× 509 1.0× 226 0.5× 89 0.7× 59 0.5× 54 1.4k
Petr Marusič Czechia 20 518 0.5× 416 0.8× 622 1.4× 280 2.1× 90 0.7× 85 1.3k
S. Matt Stead United States 13 795 0.7× 631 1.2× 486 1.1× 128 0.9× 76 0.6× 19 1.2k
Louis Maillard France 25 1.0k 0.9× 331 0.6× 849 1.9× 279 2.1× 68 0.5× 100 1.7k
Cyrille H. Ferrier Netherlands 25 856 0.8× 457 0.9× 827 1.9× 293 2.2× 131 1.0× 48 1.6k
D.N. Velis Netherlands 22 941 0.8× 536 1.0× 416 0.9× 146 1.1× 140 1.1× 29 1.5k
Jeffrey R. Tenney United States 22 783 0.7× 415 0.8× 670 1.5× 203 1.5× 121 1.0× 64 1.3k
Patricia Dugan United States 22 538 0.5× 312 0.6× 398 0.9× 107 0.8× 60 0.5× 69 1.2k

Countries citing papers authored by Sara K. Inati

Since Specialization
Citations

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

Fields of papers citing papers by Sara K. Inati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara K. Inati. 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 Sara K. Inati. The network helps show where Sara K. Inati may publish in the future.

Co-authorship network of co-authors of Sara K. Inati

This figure shows the co-authorship network connecting the top 25 collaborators of Sara K. Inati. A scholar is included among the top collaborators of Sara K. Inati 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 Sara K. Inati. Sara K. Inati 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.
Serlin, Yonatan, Matthew Pease, David O. Okonkwo, et al.. (2025). Paroxysmal Cortical Slowing Predicts Posttraumatic Epilepsy After Severe Traumatic Brain Injury. Neurocritical Care. 44(1). 50–55.
2.
Serlin, Yonatan, Timothy Bardouille, Dan Z. Milikovsky, et al.. (2025). Paroxysmal cortical slowing linked to drug-resistant epilepsy. EBioMedicine. 116. 105780–105780.
3.
Vaz, Alex, et al.. (2025). Attention to memory content enhances single-unit spike sequence fidelity in the human anterior temporal lobe. Current Biology. 35(5). 1085–1094.e5. 1 indexed citations
4.
Liang, Junwu, Ninet Sinaii, Sunder S. Rajan, et al.. (2024). Modeling functional connectivity changes during an auditory language task using line graph neural networks. Frontiers in Computational Neuroscience. 18. 1471229–1471229.
5.
Diamond, Joshua M., et al.. (2024). Focal seizures induce spatiotemporally organized spiking activity in the human cortex. Nature Communications. 15(1). 7075–7075. 5 indexed citations
6.
Sarma, Sridevi V., Kristin M. Gunnarsdottir, Nathan E. Crone, et al.. (2024). Virtual stimulation of the interictal EEG network localizes the EZ as a measure of cortical excitability. SHILAP Revista de lepidopterología. 4. 1425625–1425625.
7.
Xie, Weizhen, et al.. (2024). Dynamic patterns of functional connectivity in the human brain underlie individual memory formation. Nature Communications. 15(1). 8969–8969. 4 indexed citations
8.
Inati, Sara K., Omar Khan, Luca Bartolini, et al.. (2023). Characterization of seizures and EEG findings in creatine transporter deficiency due to SLC6A8 mutation. American Journal of Medical Genetics Part A. 194(2). 337–345. 1 indexed citations
9.
Diamond, Joshua M., Joelle E. Sarlls, Julio I. Chapeton, et al.. (2023). Identifying sources of human interictal discharges with travelling wave and white matter propagation. Brain. 146(12). 5168–5181. 5 indexed citations
10.
Diamond, Joshua M., et al.. (2023). Interictal discharges in the human brain are travelling waves arising from an epileptogenic source. Brain. 146(5). 1903–1915. 19 indexed citations
11.
Vaz, Alex, John H. Wittig, Sara K. Inati, & Kareem A. Zaghloul. (2023). Backbone spiking sequence as a basis for preplay, replay, and default states in human cortex. Nature Communications. 14(1). 4723–4723. 17 indexed citations
12.
Theodore, William H., et al.. (2021). Distinguishing type II focal cortical dysplasias from normal cortex: A novel normative modeling approach. NeuroImage Clinical. 30. 102565–102565. 11 indexed citations
13.
Li, Adam, Zachary Fitzgerald, Iahn Cajigas, et al.. (2021). Neural fragility as an EEG marker of the seizure onset zone. Nature Neuroscience. 24(10). 1465–1474. 88 indexed citations
14.
Vaz, Alex, John H. Wittig, Sara K. Inati, & Kareem A. Zaghloul. (2020). Replay of cortical spiking sequences during human memory retrieval. Science. 367(6482). 1131–1134. 104 indexed citations
15.
Haque, Rafi U., Sara K. Inati, Allan I. Levey, & Kareem A. Zaghloul. (2020). Feedforward prediction error signals during episodic memory retrieval. Nature Communications. 11(1). 6075–6075. 9 indexed citations
16.
Leibovitch, Emily, Bridgette Jeanne Billioux, Osório Lopes Abath Neto, et al.. (2020). HHV‐6 and hippocampal volume in patients with mesial temporal sclerosis. Annals of Clinical and Translational Neurology. 7(9). 1674–1680. 6 indexed citations
17.
Yaffe, Robert B., et al.. (2017). Cued Memory Retrieval Exhibits Reinstatement of High Gamma Power on a Faster Timescale in the Left Temporal Lobe and Prefrontal Cortex. Journal of Neuroscience. 37(17). 4472–4480. 22 indexed citations
18.
Chapeton, Julio I., Sara K. Inati, & Kareem A. Zaghloul. (2016). Stable functional networks exhibit consistent timing in the human brain. Brain. 140(3). 628–640. 11 indexed citations
19.
Soldatos, Ariane, Thomas B. Nutman, Catherine Groden, et al.. (2015). Evaluation and Immunomodulatory Treatment at the NIH of Children with Nodding Syndrome from Northern Uganda (S37.005). Neurology. 84(14_supplement). 8 indexed citations
20.
Zanotti‐Fregonara, Paolo, Jeih-San Liow, Jussi Hirvonen, et al.. (2015). Neuroinflammation in Temporal Lobe Epilepsy Measured Using Positron Emission Tomographic Imaging of Translocator Protein. JAMA Neurology. 72(8). 882–882. 125 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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