Tea Lulic

458 total citations
21 papers, 291 citations indexed

About

Tea Lulic is a scholar working on Biomedical Engineering, Surgery and Pharmacology. According to data from OpenAlex, Tea Lulic has authored 21 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 8 papers in Surgery and 6 papers in Pharmacology. Recurrent topics in Tea Lulic's work include Muscle activation and electromyography studies (11 papers), Musculoskeletal pain and rehabilitation (6 papers) and Shoulder Injury and Treatment (6 papers). Tea Lulic is often cited by papers focused on Muscle activation and electromyography studies (11 papers), Musculoskeletal pain and rehabilitation (6 papers) and Shoulder Injury and Treatment (6 papers). Tea Lulic collaborates with scholars based in Canada, Italy and United States. Tea Lulic's co-authors include Aimee J. Nelson, Hunter J. Fassett, James Inglis, Jenin El‐Sayes, Clark R. Dickerson, Shinya Fujii, Joyce L. Chen, James Tung, Éric Roy and Johnathan Tran and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Journal of Biomechanics.

In The Last Decade

Tea Lulic

21 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tea Lulic Canada 9 121 111 76 49 42 21 291
Verónica Robles‐García Spain 9 108 0.9× 98 0.9× 40 0.5× 56 1.1× 12 0.3× 20 324
T. Yoshida Japan 10 107 0.9× 108 1.0× 86 1.1× 30 0.6× 24 0.6× 17 342
Yohei Masugi Japan 12 167 1.4× 126 1.1× 174 2.3× 59 1.2× 55 1.3× 26 364
Gord Binsted Canada 6 154 1.3× 184 1.7× 60 0.8× 39 0.8× 29 0.7× 6 335
Kristiina M. Valter McConville Canada 10 65 0.5× 59 0.5× 64 0.8× 83 1.7× 21 0.5× 23 314
Hiroshi Kurumadani Japan 11 105 0.9× 95 0.9× 45 0.6× 23 0.5× 141 3.4× 39 303
A. Ricamato United States 7 168 1.4× 138 1.2× 91 1.2× 83 1.7× 49 1.2× 9 406
Valeria Belluscio Italy 15 123 1.0× 67 0.6× 59 0.8× 97 2.0× 17 0.4× 25 474
U.M. Küng Switzerland 9 66 0.5× 63 0.6× 81 1.1× 69 1.4× 38 0.9× 12 412
Alberto Nascimbeni Italy 9 176 1.5× 65 0.6× 47 0.6× 51 1.0× 22 0.5× 14 347

Countries citing papers authored by Tea Lulic

Since Specialization
Citations

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

Fields of papers citing papers by Tea Lulic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tea Lulic

This figure shows the co-authorship network connecting the top 25 collaborators of Tea Lulic. A scholar is included among the top collaborators of Tea Lulic 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 Tea Lulic. Tea Lulic 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.
2.
Lulic, Tea, Elena Peli, Stefano Calza, et al.. (2023). Electrophysiological neuromuscular alterations and severe fatigue predict long-term muscle weakness in survivors of COVID-19 acute respiratory distress syndrome. Frontiers in Neurology. 14. 1235734–1235734. 2 indexed citations
3.
Lulic, Tea, et al.. (2023). Assessing shoulder muscle stretch reflexes following breast cancer treatment and postmastectomy breast reconstruction. Journal of Neurophysiology. 129(4). 914–926. 1 indexed citations
4.
Lulic, Tea, Bruno Guarneri, Stefano Gazzina, et al.. (2023). Sex-differences in the longitudinal recovery of neuromuscular function in COVID-19 associated acute respiratory distress syndrome survivors. Frontiers in Medicine. 10. 1185479–1185479. 2 indexed citations
5.
Lulic, Tea, et al.. (2022). The impact of local therapies for breast cancer on shoulder muscle health and function. Critical Reviews in Oncology/Hematology. 177. 103759–103759. 4 indexed citations
6.
Lulic, Tea, Francesco Negro, Ning Jiang, & Clark R. Dickerson. (2022). Differential regional pectoralis major activation indicates functional diversity in healthy females. Journal of Biomechanics. 133. 110966–110966. 1 indexed citations
7.
Lulic, Tea & James Inglis. (2022). Sex differences in motor unit behaviour: A review. Journal of Electromyography and Kinesiology. 66. 102689–102689. 40 indexed citations
8.
9.
10.
Lulic, Tea, Christopher K. Thompson, Ning Jiang, Francesco Negro, & Clark R. Dickerson. (2021). Neural control of the healthy pectoralis major from low-to-moderate isometric contractions. Journal of Neurophysiology. 126(1). 213–226. 5 indexed citations
11.
Lulic, Tea, et al.. (2020). Sub-regional activation of supraspinatus and infraspinatus muscles during activities of daily living is task dependent. Journal of Electromyography and Kinesiology. 54. 102450–102450. 5 indexed citations
12.
Lulic, Tea, Francesco Negro, Ning Jiang, & Clark R. Dickerson. (2020). Standard bipolar surface EMG estimations mischaracterize pectoralis major activity in commonly performed tasks. Journal of Electromyography and Kinesiology. 56. 102509–102509. 15 indexed citations
13.
Lulic, Tea, et al.. (2019). The influence of posture variation on electromyographic signals in females obtained during maximum voluntary isometric contractions: A shoulder example. Journal of Electromyography and Kinesiology. 62. 102319–102319. 4 indexed citations
14.
Lulic, Tea, et al.. (2018). Activation of Supraspinatus and Infraspinatus Partitions and Periscapular Musculature During Rehabilitative Elastic Resistance Exercises. American Journal of Physical Medicine & Rehabilitation. 98(5). 407–415. 13 indexed citations
15.
Lulic, Tea, et al.. (2018). The effect of aging and contextual information on manual asymmetry in tool use. Experimental Brain Research. 236(8). 2347–2362. 1 indexed citations
16.
Fassett, Hunter J., Claudia V. Turco, Jenin El‐Sayes, et al.. (2017). Transcranial Magnetic Stimulation with Intermittent Theta Burst Stimulation Alters Corticospinal Output in Patients with Chronic Incomplete Spinal Cord Injury. Frontiers in Neurology. 8. 380–380. 14 indexed citations
17.
Lulic, Tea, Jenin El‐Sayes, Hunter J. Fassett, & Aimee J. Nelson. (2017). Physical activity levels determine exercise-induced changes in brain excitability. PLoS ONE. 12(3). e0173672–e0173672. 71 indexed citations
18.
Fujii, Shinya, Tea Lulic, & Joyce L. Chen. (2016). More Feedback Is Better than Less: Learning a Novel Upper Limb Joint Coordination Pattern with Augmented Auditory Feedback. Frontiers in Neuroscience. 10. 251–251. 33 indexed citations
19.
Lulic, Tea, et al.. (2016). Metaplasticity in human primary somatosensory cortex: effects on physiology and tactile perception. Journal of Neurophysiology. 115(5). 2681–2691. 19 indexed citations
20.
Tung, James, et al.. (2015). Evaluation of a portable markerless finger position capture device: accuracy of the Leap Motion controller in healthy adults. Physiological Measurement. 36(5). 1025–1035. 41 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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