David Yu

21 papers receiving 593 citations

Peers

David Yu
Comparison fields: 5 of 52
  • Rehabilitation 258
  • Anesthesiology and Pain Medicine 96
  • Neurology 114
  • Neurology 48
  • Pharmacology 70
Replace Zi-Ping Fang with:
Zi-Ping Fang United States
J. Hans Arendzen Netherlands
Gerbert J. Renzenbrink Netherlands
Meta M. Dimitrijevic United States
RC Tallis United Kingdom
Lutz Brückner Germany
Giorgio Spacca Italy
Albert Chen United States
Kyung Hee South Korea
Cornelis H. Emmelot Netherlands
David Yu relative to Zi-Ping Fang United States Zi-Ping Fang's profile →
Citations per field
00.5×1.7×
Zi-Ping Fang · 1×
Citations per year

Countries citing papers authored by David Yu

Since Specialization
Citations

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

Fields of papers citing papers by David Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Yu, 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 David Yu Line = papers co-authored together David Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007103
2 200598
3 200474
4 200048
5 200148
6 199944
7 200436
8 200733
9 200133
10 200019
11 200115
12 200415
13 200214
14 201014
15 201513
16 200413
17 200211
18 19988
19 20114
20 20022

About David Yu

David Yu is a scholar working on Rehabilitation, Surgery, Biomedical Engineering, Psychiatry and Mental health and General Health Professions, having authored 22 papers that have together received 646 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (9 papers), Muscle activation and electromyography studies (8 papers), Nerve Injury and Rehabilitation (6 papers), Cerebral Palsy and Movement Disorders (3 papers), Shoulder Injury and Treatment (2 papers), Health, psychology, and well-being (1 paper), Spinal Cord Injury Research (1 paper) and Autopsy Techniques and Outcomes (1 paper). The work is most often cited by research in Rehabilitation (258 citations), Anesthesiology and Pain Medicine (96 citations), Neurology (114 citations), Neurology (48 citations) and Pharmacology (70 citations). David Yu has collaborated with scholars based in United States, China and France. Frequent co-authors include John Chae, Maria E. Walker, Richard L. Harvey, Steven R. Flanagan, Elie Paul Elovic, Zi-Ping Fang, Andrew E. Kirsteins, Richard D. Zorowitz, Julie H. Grill and Frederick S. Frost. Their work appears in journals such as Archives of Physical Medicine and Rehabilitation, American Journal of Physical Medicine & Rehabilitation, Physical Medicine and Rehabilitation Clinics of North America, Neurorehabilitation and neural repair and Topics in Stroke Rehabilitation.

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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