Winnie Jensen

3.3k total citations
124 papers, 1.6k citations indexed

About

Winnie Jensen is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Winnie Jensen has authored 124 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Cellular and Molecular Neuroscience, 72 papers in Biomedical Engineering and 59 papers in Cognitive Neuroscience. Recurrent topics in Winnie Jensen's work include Neuroscience and Neural Engineering (72 papers), Muscle activation and electromyography studies (67 papers) and EEG and Brain-Computer Interfaces (44 papers). Winnie Jensen is often cited by papers focused on Neuroscience and Neural Engineering (72 papers), Muscle activation and electromyography studies (67 papers) and EEG and Brain-Computer Interfaces (44 papers). Winnie Jensen collaborates with scholars based in Denmark, United States and Germany. Winnie Jensen's co-authors include Ken Yoshida, Ernest Nlandu Kamavuako, Dario Farina, Kevin Englehart, Ulrich Hofmann, Thomas Sinkjær, Ronald Raymond Riso, Asim Waris, Silvestro Micera and Imran Khan Niazi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Pain.

In The Last Decade

Winnie Jensen

121 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
Winnie Jensen Denmark 23 1.1k 1.0k 1.0k 137 114 124 1.6k
Matthew A. Schiefer United States 18 1.4k 1.2× 1.4k 1.4× 1.2k 1.2× 256 1.9× 92 0.8× 37 2.0k
Jacopo Carpaneto Italy 21 1.1k 1.0× 1.1k 1.1× 1.0k 1.0× 144 1.1× 94 0.8× 57 1.7k
Giacomo Valle Switzerland 23 1.3k 1.2× 1.1k 1.1× 1.0k 1.0× 233 1.7× 166 1.5× 52 2.0k
David Guiraud France 22 1.2k 1.1× 865 0.9× 837 0.8× 238 1.7× 100 0.9× 147 1.9k
Tyler S. Davis United States 22 955 0.9× 1.1k 1.1× 1.1k 1.1× 87 0.6× 204 1.8× 59 1.8k
Robert A. Gaunt United States 25 881 0.8× 1.6k 1.6× 1.5k 1.5× 235 1.7× 349 3.1× 71 2.3k
William D. Memberg United States 19 776 0.7× 803 0.8× 944 0.9× 91 0.7× 176 1.5× 33 1.4k
Chad Bouton United States 18 465 0.4× 844 0.8× 871 0.9× 536 3.9× 178 1.6× 41 1.6k
Christian Éthier Canada 19 547 0.5× 684 0.7× 925 0.9× 229 1.7× 153 1.3× 31 1.3k
Stephen T. Foldes United States 16 324 0.3× 649 0.6× 781 0.8× 93 0.7× 121 1.1× 31 1.2k

Countries citing papers authored by Winnie Jensen

Since Specialization
Citations

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

Fields of papers citing papers by Winnie Jensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Winnie Jensen

This figure shows the co-authorship network connecting the top 25 collaborators of Winnie Jensen. A scholar is included among the top collaborators of Winnie Jensen 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 Winnie Jensen. Winnie Jensen 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.
Jensen, Winnie, et al.. (2024). Comparison of Subdural and Intracortical Recordings of Somatosensory Evoked Responses. Sensors. 24(21). 6847–6847. 1 indexed citations
2.
Graven‐Nielsen, Thomas, et al.. (2024). High-frequency electrical stimulation increases cortical excitability and mechanical sensitivity in a chronic large animal model. Pain. 166(2). e18–e26. 2 indexed citations
3.
4.
Jensen, Winnie, et al.. (2024). Pigs as a translational animal model for the study of peak alpha frequency. Neuroscience. 565. 567–576.
5.
Čvančara, Paul, Giacomo Valle, Matthias Müller, et al.. (2023). Bringing sensation to prosthetic hands—chronic assessment of implanted thin-film electrodes in humans. npj Flexible Electronics. 7(1). 12 indexed citations
6.
Lontis, Romulus, Ken Yoshida, & Winnie Jensen. (2023). Non-Invasive Sensory Input Results in Changes in Non-Painful and Painful Sensations in Two Upper-Limb Amputees. SHILAP Revista de lepidopterología. 6(1). 1–23. 1 indexed citations
7.
Metcalfe, Benjamin, et al.. (2023). Morphology and morphometry of the ulnar nerve in the forelimb of pigs. Anatomia Histologia Embryologia. 53(1). e12972–e12972. 1 indexed citations
8.
Lontis, Romulus & Winnie Jensen. (2023). Referred Sensation Areas in Bilateral Upper Limb Amputee. PubMed. 2023. 1–4. 1 indexed citations
9.
Jensen, Winnie, et al.. (2022). Geometric Characterization of Local Changes in Tungsten Microneedle Tips after In-Vivo Insertion into Peripheral Nerves. Applied Sciences. 12(18). 8938–8938. 3 indexed citations
10.
Jensen, Winnie, et al.. (2022). Gamma-band enhancement of functional brain connectivity following transcutaneous electrical nerve stimulation. Journal of Neural Engineering. 19(2). 26020–26020. 8 indexed citations
11.
Schmelz, Martin, et al.. (2021). A systematic review of porcine models in translational pain research. Lab Animal. 50(11). 313–326. 8 indexed citations
12.
Metcalfe, Benjamin, et al.. (2021). The Use of the Velocity Selective Recording Technique to Reveal the Excitation Properties of the Ulnar Nerve in Pigs. Sensors. 22(1). 58–58. 11 indexed citations
13.
Niazi, Imran Khan, et al.. (2019). The Variability of Psychophysical Parameters Following Surface and Subdermal Stimulation: A Multiday Study in Amputees. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(1). 174–180. 5 indexed citations
14.
Jensen, Winnie, et al.. (2018). Psychophysical Evaluation of Subdermal Electrical Stimulation in Relation to Prosthesis Sensory Feedback. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(3). 709–715. 29 indexed citations
15.
Jiao, Jianhang, et al.. (2016). The Influence of Vagus Nerve and Spinal Cord Stimulation on the Ictal Fast Ripple Activity in a Spike-and-Wave Rat Model of Seizures. Neuromodulation Technology at the Neural Interface. 19(3). 292–298. 3 indexed citations
16.
Boretius, Tim, Ken Yoshida, Jordi Badía, et al.. (2012). A transverse intrafascicular multichannel electrode (TIME) to treat phantom limb pain:Towards human clinical trials. VBN Forskningsportal (Aalborg Universitet). 2 indexed citations
17.
Kundu, Aritra, et al.. (2011). Comparison of acute stimulation selectivity of transverse and longitudinal intrafascicular electrodes in pigs. VBN Forskningsportal (Aalborg Universitet). 1 indexed citations
18.
Kundu, Aritra, et al.. (2010). Dependence of implantation angle of the transverse, intrafascicular electrode (TIME) on selective activation of pig forelimb muscles. Artificial Organs. 34(8). 315–317. 3 indexed citations
19.
Muceli, Silvia, Francesco Negro, Winnie Jensen, et al.. (2010). Sampling large populations of motor units in humans with multichannel thin-film electrodes. Neuroscience. 2 indexed citations
20.
Jensen, Winnie, et al.. (1998). Effect of initial position on nerve cuff recordings of muscle afferents during passive rotation of the ankle joint in rabbit. VBN Forskningsportal (Aalborg Universitet). 1 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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