Samuel S. Wu

3.4k citations
45 papers · 2.6k indexed · 2 hit papers · h-index 22

Samuel S. Wu

40 papers receiving 2.5k citations

Hit Papers

Body-Weight–Supported Treadmill Rehabilitation after Stroke4612007202620132019100200300400500

Peers

Samuel S. Wu
Comparison fields: 5 of 89
  • Rehabilitation 1.8k
  • Physical Therapy, Sports Therapy and Rehabilitation 816
  • Psychiatry and Mental health 1.1k
  • Neurology 552
  • Neurology 193
Replace Katherine J. Sullivan with:
Katherine J. Sullivan United States
Dorian K. Rose United States
Cynthia J. Danells Canada
Roberta B. Shepherd Australia
Pei‐Fang Tang Taiwan
I‐Ping Hsueh Taiwan
Louise Connell United Kingdom
Patricia M. Kluding United States
Carol Giuliani United States
Kenneth H. Silver United States
Samuel S. Wu relative to Katherine J. Sullivan United States Katherine J. Sullivan's profile →
Citations per field
00.5×1.5×
Katherine J. Sullivan · 1×
Citations per year

Countries citing papers authored by Samuel S. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Samuel S. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel S. Wu. 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 Samuel S. Wu. The network helps show where Samuel S. Wu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Samuel S. Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samuel S. Wu Line = papers co-authored together Samuel S. Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20242
3 20230
4 20183
5 20177
6 201694
7 20166
8 201521
9 201531
10 201529
11 201371
12 2013146
13 20134
14 201352
15 201211
16
Body-Weight–Supported Treadmill Rehabilitation after Strokebreakdown →
2011461
17 201121
18 20115
19 201048
20 200448

About Samuel S. Wu

Samuel S. Wu is a scholar working on Rehabilitation, Physical Therapy, Sports Therapy and Rehabilitation and Psychiatry and Mental health, having authored 45 papers that have together received 2.6k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (26 papers), Cerebral Palsy and Movement Disorders (14 papers), Balance, Gait, and Falls Prevention (10 papers), Musculoskeletal pain and rehabilitation (10 papers), Botulinum Toxin and Related Neurological Disorders (9 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Dementia and Cognitive Impairment Research (4 papers) and Acute Ischemic Stroke Management (4 papers). The work is most often cited by research in Rehabilitation (1.8k citations), Physical Therapy, Sports Therapy and Rehabilitation (816 citations) and Psychiatry and Mental health (1.1k citations). Samuel S. Wu has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Pamela W. Duncan, Dorian K. Rose, Julie K. Tilson, Stephen E. Nadeau, Steven Cen, Andrea L. Behrman, Katherine J. Sullivan, Bruce H. Dobkin, Stanley P. Azen and Stephanie A. Studenski. Their work appears in journals such as Neurorehabilitation and neural repair, Stroke, The Journal of Rehabilitation Research and Development, Journal of Orthopaedic and Sports Physical Therapy and Physical Therapy.

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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