H.C. Kwan

3.0k citations
52 papers · 2.5k · h-index 23

Impact in

  • Neurology top 1%
    • Neurological disorders and treatments
    • Parkinson's Disease Mechanisms and Treatments
    • Transcranial Magnetic Stimulation Studies
    • Motor Control and Adaptation
    • Neural dynamics and brain function

Papers in

H.C. Kwan

50 papers receiving 2.3k citations

Peers

H.C. Kwan
Comparison fields: 5 of 102
  • Neurology 1.0k
  • Neurology 505
  • Cognitive Neuroscience 1.1k
  • Cellular and Molecular Neuroscience 1.0k
  • Physiology 227
Replace Manuel Alegre with:
Manuel Alegre Spain
Jan Nilsson Italy
Yoshiki Kaneoke Japan
Shozo Tobimatsu Japan
Lo J. Bour Netherlands
Mark Hallett United States
Randall K. Powers United States
Markus Butz Germany
Masao Matsuhashi Japan
Robert Jech Czechia
H.C. Kwan relative to Manuel Alegre Spain Manuel Alegre's profile →
Citations per field
00.5×1.5×
Manuel Alegre · 1×
Citations per year

Countries citing papers authored by H.C. Kwan

Since Specialization
Citations

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

Fields of papers citing papers by H.C. Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.C. Kwan. 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 H.C. Kwan. The network helps show where H.C. Kwan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978303
2 1994299
3 1988244
4 1994205
5 1988182
6 1978151
7 1978123
8 199599
9 199099
10 197585
11 197470
12 198654
13 198550
14 197439
15 198936
16 198336
17 198229
18 198226
19 198526
20 199625

About H.C. Kwan

H.C. Kwan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biomedical Engineering, Neurology and Neurology, having authored 52 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (19 papers), Neuroscience and Neural Engineering (18 papers), Motor Control and Adaptation (12 papers), Muscle activation and electromyography studies (11 papers), Neurological disorders and treatments (11 papers), EEG and Brain-Computer Interfaces (10 papers), Vestibular and auditory disorders (6 papers) and Transcranial Magnetic Stimulation Studies (5 papers). The work is most often cited by research in Neurology (1.0k citations), Neurology (505 citations), Cognitive Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (1.0k citations) and Physiology (227 citations). H.C. Kwan has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include John T. Murphy, Yon‐Cheong Wong, William A. MacKay, Frederick A. Lenz, J. O. Dostrovsky, Ronald R. Tasker, J.T. Murphy, Russell L. Martin, R.H. Kwong and R.R. Tasker. Their work appears in journals such as Brain Research, Journal of Neurophysiology, Canadian Journal of Physiology and Pharmacology, Stereotactic and Functional Neurosurgery and Brain.

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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