Tea Lulic
Impact in
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery
Papers in
-
- Muscle activation and electromyography studies 11
- Surgery 8
- Shoulder Injury and Treatment 6
- Nerve Injury and Rehabilitation 3
- Co-authors
- Aimee J. Nelson (3 shared papers)James Inglis (1 shared paper)Hunter J. Fassett (2 shared papers)Jenin El‐Sayes (2 shared papers)Clark R. Dickerson (8 shared papers)Shinya Fujii (1 shared paper)Joyce L. Chen (1 shared paper)James Tung (1 shared paper)
- Journals
- Journal of Electromyography and Kinesiology (5 papers)Journal of Neurophysiology (3 papers)Frontiers in Neurology (2 papers)Critical Reviews in Oncology/Hematology (1 paper)PLoS ONE (1 paper)
- Partner nations
- CanadaItalyUnited States
In The Last Decade
Tea Lulic
21 papers receiving 308 citations
Peers
Comparison fields: 5 of 54
- Neurology 74
- Rehabilitation 44
- Cognitive Neuroscience 104
- Human-Computer Interaction 27
- Orthopedics and Sports Medicine 32
Countries citing papers authored by Tea Lulic
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
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-authors
The 25 scholars most cited alongside Tea Lulic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 74 | |
| 2 | 2022 | 44 | |
| 3 | 2015 | 41 | |
| 4 | 2016 | 34 | |
| 5 | 2016 | 19 | |
| 6 | 2020 | 16 | |
| 7 | 2017 | 15 | |
| 8 | 2018 | 13 | |
| 9 | 2021 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2023 | 1 |
About Tea Lulic
Tea Lulic is a scholar working on Biomedical Engineering, Surgery, Pharmacology, Cognitive Neuroscience and Social Psychology, having authored 22 papers that have together received 309 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (11 papers), Musculoskeletal pain and rehabilitation (6 papers), Shoulder Injury and Treatment (6 papers), Motor Control and Adaptation (5 papers), Ergonomics and Musculoskeletal Disorders (4 papers), Shoulder and Clavicle Injuries (3 papers), Transcranial Magnetic Stimulation Studies (3 papers) and Nerve Injury and Rehabilitation (3 papers). The work is most often cited by research in Neurology (74 citations), Rehabilitation (44 citations), Cognitive Neuroscience (104 citations), Human-Computer Interaction (27 citations) and Orthopedics and Sports Medicine (32 citations). Tea Lulic has collaborated with scholars based in Canada, Italy and United States. Frequent co-authors include Aimee J. Nelson, James Inglis, Hunter J. Fassett, Jenin El‐Sayes, Clark R. Dickerson, Shinya Fujii, Joyce L. Chen, James Tung, Éric Roy and Johnathan Tran. Their work appears in journals such as Journal of Electromyography and Kinesiology, Journal of Neurophysiology, Frontiers in Neurology, Critical Reviews in Oncology/Hematology and PLoS ONE.
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.