Jill See

2.1k total citations
24 papers, 1.1k citations indexed

About

Jill See is a scholar working on Rehabilitation, Epidemiology and Neurology. According to data from OpenAlex, Jill See has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Rehabilitation, 8 papers in Epidemiology and 6 papers in Neurology. Recurrent topics in Jill See's work include Stroke Rehabilitation and Recovery (21 papers), Acute Ischemic Stroke Management (7 papers) and Cerebral Palsy and Movement Disorders (6 papers). Jill See is often cited by papers focused on Stroke Rehabilitation and Recovery (21 papers), Acute Ischemic Stroke Management (7 papers) and Cerebral Palsy and Movement Disorders (6 papers). Jill See collaborates with scholars based in United States and United Kingdom. Jill See's co-authors include Steven C. Cramer, Lucy Dodakian, Alison McKenzie, Vu Le, Erin Burke Quinlan, David J. Reinkensmeyer, Robert J. Zhou, Jeff Riley, Cathy Chou and Vicky Chan and has published in prestigious journals such as Brain, Stroke and Annals of Neurology.

In The Last Decade

Jill See

22 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jill See United States 13 737 345 280 266 251 24 1.1k
Yong-Hyun Kwon South Korea 14 552 0.7× 209 0.6× 159 0.6× 231 0.9× 130 0.5× 39 980
Suzanne Ackerley New Zealand 14 853 1.2× 237 0.7× 420 1.5× 323 1.2× 257 1.0× 27 1.1k
Peter Rundquist United States 12 306 0.4× 194 0.6× 191 0.7× 131 0.5× 438 1.7× 20 1.2k
Jill Campbell Stewart United States 21 562 0.8× 299 0.9× 157 0.6× 143 0.5× 116 0.5× 58 956
Michelle Woodbury United States 18 915 1.2× 229 0.7× 203 0.7× 376 1.4× 181 0.7× 45 1.2k
F. Colle France 15 573 0.8× 207 0.6× 134 0.5× 301 1.1× 107 0.4× 26 1.1k
Jennifer A. Semrau United States 19 486 0.7× 376 1.1× 112 0.4× 318 1.2× 113 0.5× 43 958
Kimberly D. Moore Canada 8 324 0.4× 441 1.3× 75 0.3× 213 0.8× 99 0.4× 10 957
Fiona Coupar United Kingdom 6 1.8k 2.4× 427 1.2× 315 1.1× 788 3.0× 505 2.0× 7 2.2k
Tsunehiko Suzuki Japan 8 269 0.4× 333 1.0× 133 0.5× 126 0.5× 86 0.3× 14 1.0k

Countries citing papers authored by Jill See

Since Specialization
Citations

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

Fields of papers citing papers by Jill See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jill See

This figure shows the co-authorship network connecting the top 25 collaborators of Jill See. A scholar is included among the top collaborators of Jill See 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 Jill See. Jill See 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.
Johnson, Christopher, Jill See, Lucy Dodakian, et al.. (2025). The Weak Relationship Between Ankle Proprioception and Gait Speed After Stroke: A Robotic Assessment Study. Neurorehabilitation and neural repair. 39(12). 1031–1045.
2.
3.
Podury, Archana, Sophia Raefsky, Lucy Dodakian, et al.. (2021). Social Network Structure Is Related to Functional Improvement From Home-Based Telerehabilitation After Stroke. Frontiers in Neurology. 12. 603767–603767. 16 indexed citations
4.
Cramer, Steven C., Lucy Dodakian, Vu Le, et al.. (2021). A Feasibility Study of Expanded Home-Based Telerehabilitation After Stroke. Frontiers in Neurology. 11. 611453–611453. 33 indexed citations
5.
Cramer, Steven C., Jill See, Brent Liu, et al.. (2021). Genetic Factors, Brain Atrophy, and Response to Rehabilitation Therapy After Stroke. Neurorehabilitation and neural repair. 36(2). 131–139. 10 indexed citations
6.
Wu, Jennifer, Lucy Dodakian, Jill See, et al.. (2020). Gains Across WHO Dimensions of Function After Robot-Based Therapy in Stroke Subjects. Neurorehabilitation and neural repair. 34(12). 1150–1158. 5 indexed citations
7.
Chen, Yu, Yunan Chen, Kai Zheng, et al.. (2019). A qualitative study on user acceptance of a home-based stroke telerehabilitation system. Topics in Stroke Rehabilitation. 27(2). 81–92. 83 indexed citations
8.
Quinlan, Erin Burke, Lucy Dodakian, Jill See, et al.. (2018). Biomarkers of Rehabilitation Therapy Vary according to Stroke Severity. Neural Plasticity. 2018. 1–8. 19 indexed citations
9.
McKenzie, Alison, Lucy Dodakian, Jill See, et al.. (2017). Validity of Robot-Based Assessments of Upper Extremity Function. Archives of Physical Medicine and Rehabilitation. 98(10). 1969–1976.e2. 14 indexed citations
10.
Stewart, Jill Campbell, George Tran, Erin Burke Quinlan, et al.. (2017). Role of corpus callosum integrity in arm function differs based on motor severity after stroke. NeuroImage Clinical. 14. 641–647. 38 indexed citations
11.
Dodakian, Lucy, Alison McKenzie, Vu Le, et al.. (2017). A Home-Based Telerehabilitation Program for Patients With Stroke. Neurorehabilitation and neural repair. 31(10-11). 923–933. 118 indexed citations
12.
Wu, Jennifer, Erin Burke Quinlan, Lucy Dodakian, et al.. (2015). Connectivity measures are robust biomarkers of cortical function and plasticity after stroke. Brain. 138(8). 2359–2369. 178 indexed citations
13.
Dodakian, Lucy, Jill See, Alison McKenzie, et al.. (2014). A multimodal approach to understanding motor impairment and disability after stroke. Journal of Neurology. 261(6). 1178–1186. 42 indexed citations
14.
Quinlan, Erin Burke, Lucy Dodakian, Jill See, et al.. (2014). Neural function, injury, and stroke subtype predict treatment gains after stroke. Annals of Neurology. 77(1). 132–145. 158 indexed citations
15.
Dodakian, Lucy, Kelli Sharp, Jill See, et al.. (2013). Targeted engagement of a dorsal premotor circuit in the treatment of post-stroke paresis. Neurorehabilitation. 33(1). 13–24. 15 indexed citations
16.
See, Jill, Lucy Dodakian, Cathy Chou, et al.. (2013). A Standardized Approach to the Fugl-Meyer Assessment and Its Implications for Clinical Trials. Neurorehabilitation and neural repair. 27(8). 732–741. 206 indexed citations
17.
Riley, Jeff, Vu Le, Lucy Der-Yeghiaian, et al.. (2010). Anatomy of Stroke Injury Predicts Gains From Therapy. Stroke. 42(2). 421–426. 168 indexed citations
18.
Der-Yeghiaian, Lucy, et al.. (2009). Robotic Therapy after Stroke and the Influence of Baseline Motor Status. Stroke. 40(4). 5 indexed citations
19.
Yozbatıran, Nuray, Miguel Alonso‐Alonso, Jill See, et al.. (2008). Safety and behavioral effects of a single session of high frequency repetitive transcranial magnetic stimulation in chronic stroke. Stroke. 39(2). 617–617. 3 indexed citations
20.
Cramer, Steven C., Lucy Der-Yeghiaian, Jill See, Vu Le, & Craig D. Takahashi. (2007). Robot-based hand motor therapy after stroke. Stroke. 38(2). 518–518. 3 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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