John Chae

113 papers receiving 4.4k citations

Peers

John Chae
Comparison fields: 5 of 97
  • Rehabilitation 2.0k
  • Anesthesiology and Pain Medicine 509
  • Neurology 502
  • Neurology 731
  • Cognitive Neuroscience 752
Replace Gerard E. Francisco with:
Gerard E. Francisco United States
Gwyn Nancy Lewis New Zealand
Won Hyuk Chang South Korea
Bernhard Elsner Germany
Michael F. Saulino United States
Teresa Jacobson Kimberley United States
Stefano Carda Italy
Dimitry G. Sayenko United States
Masahiro Abo Japan
Michaela M. Pinter Austria
John Chae relative to Gerard E. Francisco United States Gerard E. Francisco's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Chae

Since Specialization
Citations

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

Fields of papers citing papers by John Chae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007406
2 1998251
3 2005217
4 1998170
5 2002126
6 2015122
7 2006111
8 2008111
9 2007103
10 201399
11 200598
12 200294
13 199589
14 202388
15 201584
16 200783
17 201181
18 201275
19 200474
20 201669

About John Chae

John Chae is a scholar working on Rehabilitation, Neurology, Anesthesiology and Pain Medicine, Psychiatry and Mental health and Biomedical Engineering, having authored 115 papers that have together received 4.7k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (63 papers), Muscle activation and electromyography studies (27 papers), Botulinum Toxin and Related Neurological Disorders (18 papers), Cerebral Palsy and Movement Disorders (12 papers), Pain Management and Treatment (11 papers), EEG and Brain-Computer Interfaces (9 papers), Nerve Injury and Rehabilitation (8 papers) and Shoulder Injury and Treatment (7 papers). The work is most often cited by research in Rehabilitation (2.0k citations), Anesthesiology and Pain Medicine (509 citations), Neurology (502 citations), Neurology (731 citations) and Cognitive Neuroscience (752 citations). John Chae has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Lynne R. Sheffler, Jayme S. Knutson, Richard Wilson, David Yu, Richard D. Zorowitz, Douglas David Gunzler, Guang Yang, Maria E. Bennett, Terri Z. Hisel and Mary Y. Harley. Their work appears in journals such as American Journal of Physical Medicine & Rehabilitation, Archives of Physical Medicine and Rehabilitation, Neurorehabilitation and neural repair, PM&R and Physical Medicine and Rehabilitation Clinics of North America.

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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