Jill See

2.1k citations
24 papers · 1.1k indexed · h-index 13
Topics
Stroke Rehabilitation and Recovery (21 papers)Acute Ischemic Stroke Management (7 papers)Cerebral Palsy and Movement Disorders (6 papers)

In The Last Decade

Jill See

22 papers receiving 1.1k citations

Peers

Jill See
Comparison fields: 5 of 65
  • Rehabilitation 737
  • Cognitive Neuroscience 345
  • Neurology 280
  • Neurology 266
  • Epidemiology 251
Replace Suzanne Ackerley with:
Suzanne Ackerley New Zealand
Yong-Hyun Kwon South Korea
Peter Rundquist United States
Jill Campbell Stewart United States
Michelle Woodbury United States
Jennifer A. Semrau United States
Kimberly D. Moore Canada
Soha Saleh United States
Sue Peters Canada
Eun Kyoung Kang South Korea
Jill See relative to Suzanne Ackerley New Zealand Suzanne Ackerley's profile →
Citations per field
00.5×1.5×
Suzanne Ackerley · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 7
3 16
4 33
5 10
6 5
7 83
8 19
9 14
10 38
11 118
12 178
13 42
14 158
15 15
16 206
17 168
18
Robotic Therapy after Stroke and the Influence of Baseline Motor Status
5
19
Safety and behavioral effects of a single session of high frequency repetitive transcranial magnetic stimulation in chronic stroke
3
20
Robot-based hand motor therapy after stroke
3

About Jill See

Jill See is a scholar working on Rehabilitation, Neurology and Psychiatry and Mental health, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (21 papers), Acute Ischemic Stroke Management (7 papers) and Cerebral Palsy and Movement Disorders (6 papers). The work is most often cited by research in Rehabilitation (737 citations), Neurology (280 citations) and Cognitive Neuroscience (345 citations). Jill See has collaborated with scholars based in United States and United Kingdom. Frequent 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. Their work appears in journals such as Brain, Stroke and Annals of Neurology.

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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