Alexandria Wyant

467 total citations
8 papers, 244 citations indexed

About

Alexandria Wyant is a scholar working on Neurology, Biomedical Engineering and Rehabilitation. According to data from OpenAlex, Alexandria Wyant has authored 8 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 5 papers in Biomedical Engineering and 3 papers in Rehabilitation. Recurrent topics in Alexandria Wyant's work include Transcranial Magnetic Stimulation Studies (6 papers), Muscle activation and electromyography studies (5 papers) and Stroke Rehabilitation and Recovery (3 papers). Alexandria Wyant is often cited by papers focused on Transcranial Magnetic Stimulation Studies (6 papers), Muscle activation and electromyography studies (5 papers) and Stroke Rehabilitation and Recovery (3 papers). Alexandria Wyant collaborates with scholars based in United States, Poland and China. Alexandria Wyant's co-authors include André G. Machado, Guang H. Yue, Scott F. Lempka, Vlodek Siemionow, Ela B. Plow, Declan Walsh, Katarzyna Kisiel‐Sajewicz, Mellar P. Davis, Dilara Khoshknabi and Bo Hu and has published in prestigious journals such as PLoS ONE, Annals of Neurology and Journal of Neurophysiology.

In The Last Decade

Alexandria Wyant

8 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexandria Wyant United States 8 116 55 53 52 49 8 244
Stefania Fiore Italy 9 176 1.5× 102 1.9× 99 1.9× 86 1.7× 37 0.8× 10 400
Azuma Hirayama Japan 6 277 2.4× 68 1.2× 213 4.0× 191 3.7× 34 0.7× 11 379
Weicui Chen China 8 107 0.9× 23 0.4× 16 0.3× 18 0.3× 54 1.1× 13 252
Maria Jenelyn M Alviar Australia 3 34 0.3× 59 1.1× 110 2.1× 178 3.4× 8 0.2× 3 311
J.A. Hemli Israel 8 38 0.3× 64 1.2× 63 1.2× 16 0.3× 84 1.7× 11 309
Fen Xie China 10 121 1.0× 177 3.2× 58 1.1× 8 0.2× 33 0.7× 15 329
Tillman Boesel Australia 8 100 0.9× 53 1.0× 54 1.0× 172 3.3× 16 0.3× 13 368
Seiya Nakamura Japan 10 13 0.1× 66 1.2× 83 1.6× 43 0.8× 10 0.2× 24 306
Myung Eun Chung South Korea 9 22 0.2× 183 3.3× 118 2.2× 36 0.7× 9 0.2× 24 355
Emil Annabi United States 6 60 0.5× 59 1.1× 73 1.4× 41 0.8× 12 0.2× 7 315

Countries citing papers authored by Alexandria Wyant

Since Specialization
Citations

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

Fields of papers citing papers by Alexandria Wyant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandria Wyant

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

All Works

8 of 8 papers shown
1.
Lempka, Scott F., et al.. (2019). Patient-Specific Analysis of Neural Activation During Spinal Cord Stimulation for Pain. Neuromodulation Technology at the Neural Interface. 23(5). 572–581. 38 indexed citations
2.
Lempka, Scott F., Donald A. Malone, Bo Hu, et al.. (2017). Randomized clinical trial of deep brain stimulation for poststroke pain. Annals of Neurology. 81(5). 653–663. 71 indexed citations
3.
Cunningham, David A., Alexandria Wyant, Nicole Varnerin, et al.. (2016). Post-exercise depression following submaximal and maximal isometric voluntary contraction. Neuroscience. 326. 95–104. 8 indexed citations
4.
Plow, Ela B., Nicole Varnerin, David A. Cunningham, et al.. (2014). Age-Related Weakness of Proximal Muscle Studied with Motor Cortical Mapping: A TMS Study. PLoS ONE. 9(2). e89371–e89371. 19 indexed citations
5.
Kisiel‐Sajewicz, Katarzyna, Vlodek Siemionow, Dilara Khoshknabi, et al.. (2013). Myoelectrical Manifestation of Fatigue Less Prominent in Patients with Cancer Related Fatigue. PLoS ONE. 8(12). e83636–e83636. 26 indexed citations
6.
Plow, Ela B., David A. Cunningham, Erik B. Beall, et al.. (2013). Effectiveness and neural mechanisms associated with tDCS delivered to premotor cortex in stroke rehabilitation: study protocol for a randomized controlled trial. Trials. 14(1). 331–331. 22 indexed citations
7.
Plow, Ela B., David A. Cunningham, Alexandria Wyant, et al.. (2013). Neurophysiological correlates of aging-related muscle weakness. Journal of Neurophysiology. 110(11). 2563–2573. 15 indexed citations
8.
Kisiel‐Sajewicz, Katarzyna, Mellar P. Davis, Vlodek Siemionow, et al.. (2012). Lack of Muscle Contractile Property Changes at the Time of Perceived Physical Exhaustion Suggests Central Mechanisms Contributing to Early Motor Task Failure in Patients With Cancer-Related Fatigue. Journal of Pain and Symptom Management. 44(3). 351–361. 45 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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