M. Auyeung

17 total papers · 905 total citations
10 papers, 452 citations indexed

About

M. Auyeung is a scholar working on Neurology, Clinical Psychology and Cognitive Neuroscience. According to data from OpenAlex, M. Auyeung has authored 10 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 3 papers in Clinical Psychology and 2 papers in Cognitive Neuroscience. Recurrent topics in M. Auyeung's work include Parkinson's Disease Mechanisms and Treatments (3 papers), Acute Ischemic Stroke Management (2 papers) and Botulinum Toxin and Related Neurological Disorders (1 paper). M. Auyeung is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (3 papers), Acute Ischemic Stroke Management (2 papers) and Botulinum Toxin and Related Neurological Disorders (1 paper). M. Auyeung collaborates with scholars based in China and Hong Kong. M. Auyeung's co-authors include Jojo Yan Yan Kwok, Vincent Mok, Claire K.Y. Lau, Helen Y. L. Chan, Kai Chow Choi, Kit Yi Mak, T.H. Tsoi, Dyt Fong, Chaoran Huang and Kuo‐Sheng Hung and has published in prestigious journals such as Quality of Life Research, Journal of the Neurological Sciences and JAMA Neurology.

In The Last Decade

M. Auyeung

10 papers receiving 437 citations

Hit Papers

Effects of Mindfulness Yo... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. Auyeung 266 123 105 94 82 10 452
Elaina S. Hirsch 406 1.5× 70 0.6× 83 0.8× 34 0.4× 102 1.2× 7 482
Attila Makkos 455 1.7× 34 0.3× 91 0.9× 43 0.5× 75 0.9× 19 526
A. Sellbach 379 1.4× 64 0.5× 65 0.6× 25 0.3× 122 1.5× 4 451
Cathy Wood‐Siverio 279 1.0× 100 0.8× 182 1.7× 94 1.0× 66 0.8× 9 460
Orna Moore 315 1.2× 25 0.2× 142 1.4× 168 1.8× 32 0.4× 9 443
S. Matheson 289 1.1× 83 0.7× 55 0.5× 18 0.2× 95 1.2× 5 405
Isabella Imbimbo 171 0.6× 32 0.3× 169 1.6× 162 1.7× 38 0.5× 21 457
Clare Giuffrida 97 0.4× 35 0.3× 152 1.4× 135 1.4× 125 1.5× 16 468
Paul Moberg 169 0.6× 28 0.2× 239 2.3× 127 1.4× 19 0.2× 16 460
Stacey L. DeJong 115 0.4× 53 0.4× 244 2.3× 49 0.5× 24 0.3× 21 472

Countries citing papers authored by M. Auyeung

Since Specialization
Citations

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

Fields of papers citing papers by M. Auyeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Auyeung

This figure shows the co-authorship network connecting the top 25 collaborators of M. Auyeung. A scholar is included among the top collaborators of M. Auyeung 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 M. Auyeung. M. Auyeung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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