Su Ling Chong

19 total papers · 1.1k total citations
16 papers, 794 citations indexed

About

Su Ling Chong is a scholar working on Biomedical Engineering, Rehabilitation and Occupational Therapy. According to data from OpenAlex, Su Ling Chong has authored 16 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 7 papers in Rehabilitation and 5 papers in Occupational Therapy. Recurrent topics in Su Ling Chong's work include Muscle activation and electromyography studies (9 papers), Spinal Cord Injury Research (5 papers) and Stroke Rehabilitation and Recovery (4 papers). Su Ling Chong is often cited by papers focused on Muscle activation and electromyography studies (9 papers), Spinal Cord Injury Research (5 papers) and Stroke Rehabilitation and Recovery (4 papers). Su Ling Chong collaborates with scholars based in Canada, United States and France. Su Ling Chong's co-authors include Richard B. Stein, Dirk G. Everaert, Aiko K. Thompson, K. Ming Chan, Kelvin B. James, Nasim Amirjani, A. Procházka, Mary P. Galea, Jan Kowalczewski and Maura Whittaker and has published in prestigious journals such as Journal of Neurophysiology, Journal of Applied Physiology and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

Su Ling Chong

16 papers receiving 753 citations

Author Peers

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

Author Last Decade Papers Cites
Su Ling Chong 392 324 214 200 125 16 794
H. Benko 437 1.1× 216 0.7× 123 0.6× 185 0.9× 56 0.4× 21 722
Yukihiro Hara 390 1.0× 453 1.4× 143 0.7× 89 0.4× 183 1.5× 30 833
A.M. Erika Scremin 302 0.8× 337 1.0× 330 1.5× 340 1.7× 60 0.5× 39 1.0k
Dorothy Barthélemy 302 0.8× 159 0.5× 157 0.7× 473 2.4× 244 2.0× 38 892
Maria Willerslev‐Olsen 375 1.0× 249 0.8× 508 2.4× 198 1.0× 147 1.2× 24 1.0k
Cliff S. Klein 597 1.5× 188 0.6× 167 0.8× 149 0.7× 106 0.8× 34 1.0k
Serena Filoni 261 0.7× 502 1.5× 275 1.3× 143 0.7× 50 0.4× 49 968
Sabina Hotz‐Boendermaker 166 0.4× 184 0.6× 135 0.6× 193 1.0× 125 1.0× 30 984
Tue Hvass Petersen 369 0.9× 157 0.5× 237 1.1× 65 0.3× 141 1.1× 19 924
Christopher P. Elder 320 0.8× 141 0.4× 160 0.7× 306 1.5× 37 0.3× 19 748

Countries citing papers authored by Su Ling Chong

Since Specialization
Citations

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

Fields of papers citing papers by Su Ling Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Ling Chong. 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 Su Ling Chong. The network helps show where Su Ling Chong may publish in the future.

Co-authorship network of co-authors of Su Ling Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Su Ling Chong. A scholar is included among the top collaborators of Su Ling Chong 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 Su Ling Chong. Su Ling Chong 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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