K. Ming Chan

93 papers receiving 3.3k citations

Peers

K. Ming Chan
Comparison fields: 5 of 109
  • Cellular and Molecular Neuroscience 1.3k
  • Rehabilitation 249
  • Neurology 313
  • Developmental Neuroscience 118
  • Neurology 288
Replace Birgitta Rosén with:
Birgitta Rosén Sweden
Blair Calancie United States
Christine K. Thomas United States
Patrick Freund Switzerland
Ray D. de Leon United States
Dolores Ceballos Spain
Pavel Musienko Russia
Stephen W.P. Kemp United States
Michel Lemay United States
Keith E. Tansey United States
K. Ming Chan relative to Birgitta Rosén Sweden Birgitta Rosén's profile →
Citations per field
00.5×3.9×
Birgitta Rosén · 1×
Citations per year

Countries citing papers authored by K. Ming Chan

Since Specialization
Citations

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

Fields of papers citing papers by K. Ming Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Ming Chan. 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 K. Ming Chan. The network helps show where K. Ming Chan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009251
2 2014142
3 2014138
4 2009137
5 2015127
6 2020121
7 2007118
8 2003107
9 2014103
10 200497
11 201497
12 200893
13 201975
14 200572
15 200669
16 199568
17 201266
18 201165
19 201062
20 200759

About K. Ming Chan

K. Ming Chan is a scholar working on Cellular and Molecular Neuroscience, Surgery, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 97 papers that have together received 3.3k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (26 papers), Nerve Injury and Rehabilitation (25 papers), Nerve injury and regeneration (20 papers), Neuroscience and Neural Engineering (18 papers), Peripheral Nerve Disorders (16 papers), Transcranial Magnetic Stimulation Studies (11 papers), Orthopedic Surgery and Rehabilitation (7 papers) and Planarian Biology and Electrostimulation (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Rehabilitation (249 citations), Neurology (313 citations), Developmental Neuroscience (118 citations) and Neurology (288 citations). K. Ming Chan has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Tessa Gordon, Nasim Amirjani, Jaret L. Olson, Michael Morhart, David C. Edwards, Hollie A. Power, Thomas M. Brushart, Christine A. Webber, Jacqueline S. Hebert and Michael R. Dawson. Their work appears in journals such as Muscle & Nerve, Experimental Neurology, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Plastic & Reconstructive Surgery and Clinical Neurophysiology.

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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