Evon S. Ereifej

836 total citations
28 papers, 634 citations indexed

About

Evon S. Ereifej is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Evon S. Ereifej has authored 28 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 8 papers in Cognitive Neuroscience and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Evon S. Ereifej's work include Neuroscience and Neural Engineering (22 papers), EEG and Brain-Computer Interfaces (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Evon S. Ereifej is often cited by papers focused on Neuroscience and Neural Engineering (22 papers), EEG and Brain-Computer Interfaces (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Evon S. Ereifej collaborates with scholars based in United States and Canada. Evon S. Ereifej's co-authors include Pamela J. VandeVord, Jeffrey R. Capadona, Keying Chen, Feng He, Amar S. Basu, Venkata Siva Sai Sujith Sajja, Andrew J. Shoffstall, Golam Newaz, Gregory W. Auner and Nicholas J. Schaub and has published in prestigious journals such as Advanced Functional Materials, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Evon S. Ereifej

27 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evon S. Ereifej United States 15 394 234 186 162 101 28 634
Joseph W. Salatino United States 6 560 1.4× 191 0.8× 263 1.4× 162 1.0× 74 0.7× 9 640
Jared P. Ness United States 10 598 1.5× 357 1.5× 210 1.1× 257 1.6× 52 0.5× 21 867
Kevin M. Woeppel United States 13 370 0.9× 199 0.9× 107 0.6× 151 0.9× 49 0.5× 19 602
Sharon Norman United States 7 407 1.0× 207 0.9× 211 1.1× 101 0.6× 40 0.4× 19 588
Hanlin Zhu United States 10 339 0.9× 142 0.6× 247 1.3× 125 0.8× 30 0.3× 18 474
Leah E. Spataro United States 5 505 1.3× 89 0.4× 187 1.0× 88 0.5× 75 0.7× 6 738
Smrithi Sunil United States 11 247 0.6× 97 0.4× 132 0.7× 48 0.3× 99 1.0× 16 403
Sarita Martins Brazil 3 442 1.1× 171 0.7× 207 1.1× 125 0.8× 27 0.3× 3 502
Zhengtuo Zhao United States 11 780 2.0× 316 1.4× 451 2.4× 339 2.1× 30 0.3× 19 975

Countries citing papers authored by Evon S. Ereifej

Since Specialization
Citations

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

Fields of papers citing papers by Evon S. Ereifej

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evon S. Ereifej. 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 Evon S. Ereifej. The network helps show where Evon S. Ereifej may publish in the future.

Co-authorship network of co-authors of Evon S. Ereifej

This figure shows the co-authorship network connecting the top 25 collaborators of Evon S. Ereifej. A scholar is included among the top collaborators of Evon S. Ereifej 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 Evon S. Ereifej. Evon S. Ereifej 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.
Wang, J., Yue Gao, Allen H. Hunter, et al.. (2024). In Vivo Characterization of Intracortical Probes with Focused Ion Beam-Etched Nanopatterned Topographies. Micromachines. 15(2). 286–286.
2.
Ziemba, Alexis M., Deniz Rende, Evon S. Ereifej, et al.. (2023). Development of a Slow-Degrading Polymerized Curcumin Coating for Intracortical Microelectrodes. ACS Applied Bio Materials. 6(2). 806–818. 10 indexed citations
4.
Mahajan, Shreya, Lei Chen, Keying Chen, et al.. (2020). Toward Standardization of Electrophysiology and Computational Tissue Strain in Rodent Intracortical Microelectrode Models. Frontiers in Bioengineering and Biotechnology. 8. 416–416. 15 indexed citations
5.
Mahajan, Shreya, et al.. (2020). Focused Ion Beam Lithography to Etch Nano-architectures into Microelectrodes. Journal of Visualized Experiments. 9 indexed citations
6.
Haley, Rebecca M., et al.. (2020). Resveratrol Delivery from Implanted Cyclodextrin Polymers Provides Sustained Antioxidant Effect on Implanted Neural Probes. International Journal of Molecular Sciences. 21(10). 3579–3579. 24 indexed citations
7.
Ereifej, Evon S., Courtney E. Shell, Jonathon S. Schofield, et al.. (2019). Neural engineering: the process, applications, and its role in the future of medicine. Journal of Neural Engineering. 16(6). 63002–63002. 14 indexed citations
8.
Schaub, Nicholas J., et al.. (2019). Differential expression of genes involved in the acute innate immune response to intracortical microelectrodes. Acta Biomaterialia. 102. 205–219. 30 indexed citations
9.
Shoffstall, Andrew J., et al.. (2018). Rodent Behavioral Testing to Assess Functional Deficits Caused by Microelectrode Implantation in the Rat Motor Cortex. Journal of Visualized Experiments. 7 indexed citations
10.
Shoffstall, Andrew J., et al.. (2018). Rodent Behavioral Testing to Assess Functional Deficits Caused by Microelectrode Implantation in the Rat Motor Cortex. Journal of Visualized Experiments. 2 indexed citations
11.
Chen, Keying, et al.. (2018). Nano-Architectural Approaches for Improved Intracortical Interface Technologies. Frontiers in Neuroscience. 12. 456–456. 34 indexed citations
13.
Ravikumar, Madhumitha, Andrew J. Shoffstall, Evon S. Ereifej, et al.. (2017). Inhibition of the cluster of differentiation 14 innate immunity pathway with IAXO-101 improves chronic microelectrode performance. Journal of Neural Engineering. 15(2). 25002–25002. 30 indexed citations
14.
VandeVord, Pamela J., et al.. (2015). Chronic Hormonal Imbalance and Adipose Redistribution Is Associated with Hypothalamic Neuropathology following Blast Exposure. Journal of Neurotrauma. 33(1). 82–88. 12 indexed citations
15.
Sajja, Venkata Siva Sai Sujith, Evon S. Ereifej, & Pamela J. VandeVord. (2014). Hippocampal vulnerability and subacute response following varied blast magnitudes. Neuroscience Letters. 570. 33–37. 43 indexed citations
16.
Ereifej, Evon S., Howard W.T. Matthew, Golam Newaz, et al.. (2012). Nanopatterning effects on astrocyte reactivity. Journal of Biomedical Materials Research Part A. 101A(6). 1743–1757. 35 indexed citations
17.
Ereifej, Evon S., et al.. (2011). Characterization of astrocyte reactivity and gene expression on biomaterials for neural electrodes. Journal of Biomedical Materials Research Part A. 99A(1). 141–150. 19 indexed citations
18.
Ereifej, Evon S., et al.. (2010). A modular approach for the generation, storage, mixing, and detection of droplet libraries for high throughput screening. Lab on a Chip. 10(18). 2433–2433. 96 indexed citations
19.
Ereifej, Evon S., et al.. (2009). Microfluidic encapsulation of cells in alginate capsules for high throughput screening. PubMed. 2009. 7037–7040. 13 indexed citations
20.
Guzman, Roche C. de, et al.. (2008). Alginate-matrigel microencapsulated Schwann cells for inducible secretion of glial cell line derived neurotrophic factor. Journal of Microencapsulation. 25(7). 487–498. 17 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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