K. Ming Chan

5.1k citations
114 papers · 3.6k indexed · h-index 36
Topics
Nerve Injury and Rehabilitation (42 papers)Muscle activation and electromyography studies (33 papers)Nerve injury and regeneration (29 papers)

In The Last Decade

K. Ming Chan

110 papers receiving 3.6k citations

Peers

K. Ming Chan
Comparison fields: 5 of 131
  • Cellular and Molecular Neuroscience 1.6k
  • Surgery 1.2k
  • Biomedical Engineering 1.1k
  • Cognitive Neuroscience 465
  • Molecular Biology 420
Replace Christine K. Thomas with:
Christine K. Thomas United States
Christian Krarup Denmark
Oskar C. Aszmann Austria
Birgitta Rosén Sweden
Blair Calancie United States
Winfried Mayr Austria
Dolores Ceballos Spain
Stanley Salmons United Kingdom
Ray D. de Leon United States
Meigen Liu Japan
K. Ming Chan relative to Christine K. Thomas United States Christine K. Thomas's profile →
Citations per field
00.5×2.8×
Christine K. Thomas · 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-authorship network of co-authors of K. Ming Chan

This figure shows the co-authorship network connecting the top 25 collaborators of K. Ming Chan. A scholar is included among the top collaborators of K. Ming Chan 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 K. Ming Chan. K. Ming Chan 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 1
3 1
4 0
5 47
6 119
7 44
8 10
9 11
10 45
11 21
12 93
13 11
14 16
15 27
16 26
17 107
18 4
19
Brachial plexus injury in association with fracture-dislocation of the shoulder.
8
20 69

About K. Ming Chan

K. Ming Chan is a scholar working on Cellular and Molecular Neuroscience, Neurology and Surgery, having authored 114 papers that have together received 3.6k indexed citations. Recurring topics across this work include Nerve Injury and Rehabilitation (42 papers), Muscle activation and electromyography studies (33 papers) and Nerve injury and regeneration (29 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Rehabilitation (379 citations) and Neurology (379 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, Gregory H. Borschel, David C. Edwards, Thomas M. Brushart, Hollie A. Power, Kevin J. Zuo and Christine A. Webber. Their work appears in journals such as The Journal of Physiology, Annals of Neurology and Journal of 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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