Sin Ki Ng

463 total citations
8 papers, 302 citations indexed

About

Sin Ki Ng is a scholar working on Pharmacology, Psychiatry and Mental health and Occupational Therapy. According to data from OpenAlex, Sin Ki Ng has authored 8 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmacology, 4 papers in Psychiatry and Mental health and 2 papers in Occupational Therapy. Recurrent topics in Sin Ki Ng's work include Musculoskeletal pain and rehabilitation (7 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers) and Occupational Health and Performance (2 papers). Sin Ki Ng is often cited by papers focused on Musculoskeletal pain and rehabilitation (7 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers) and Occupational Health and Performance (2 papers). Sin Ki Ng collaborates with scholars based in Australia and Germany. Sin Ki Ng's co-authors include Bernadette M. Fitzgibbon, Paul B. Fitzgerald, Donna M. Urquhart, Flavia Cicuttini, Xianwei Che, Robin Cash, Sultana Monira Hussain, Yuanyuan Wang, Anita E. Wluka and Susan L. Rossell and has published in prestigious journals such as Clinical Journal of Pain, Maturitas and European Journal of Pain.

In The Last Decade

Sin Ki Ng

8 papers receiving 298 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sin Ki Ng Australia	8	182	75	65	45	41	8	302
P. Maxwell Slepian Canada	11	199 1.1×	105 1.4×	58 0.9×	48 1.1×	37 0.9×	37	391
Janosch A. Priebe Germany	10	242 1.3×	75 1.0×	92 1.4×	64 1.4×	23 0.6×	20	395
Saad M. Alsaadi Saudi Arabia	7	269 1.5×	129 1.7×	94 1.4×	70 1.6×	29 0.7×	13	482
Stéphanie Cormier Canada	7	120 0.7×	82 1.1×	146 2.2×	69 1.5×	33 0.8×	21	342
Emily Brede United States	14	247 1.4×	74 1.0×	59 0.9×	46 1.0×	44 1.1×	28	505
Mar Flores-Cortés Spain	9	213 1.2×	92 1.2×	65 1.0×	33 0.7×	12 0.3×	18	312
Myrella Paschali United States	10	118 0.6×	119 1.6×	54 0.8×	62 1.4×	13 0.3×	34	250
Ana Paula Carvalho‐e‐Silva Australia	14	261 1.4×	86 1.1×	27 0.4×	62 1.4×	21 0.5×	25	497
K. Mikayla Flowers United States	9	112 0.6×	75 1.0×	66 1.0×	39 0.9×	32 0.8×	29	294
Eivind Schjelderup Skarpsno Norway	14	147 0.8×	103 1.4×	64 1.0×	95 2.1×	22 0.5×	38	433

Countries citing papers authored by Sin Ki Ng

Since Specialization

Citations

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

Fields of papers citing papers by Sin Ki Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sin Ki Ng. 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 Sin Ki Ng. The network helps show where Sin Ki Ng may publish in the future.

Co-authorship network of co-authors of Sin Ki Ng

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

All Works

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8 of 8 papers shown

Ng, Sin Ki, Donna M. Urquhart, Paul B. Fitzgerald, et al.. (2021). Examining resting-state functional connectivity in key hubs of the default mode network in chronic low back pain. Scandinavian Journal of Pain. 21(4). 839–846. 10 indexed citations

Ng, Sin Ki, Donna M. Urquhart, Paul B. Fitzgerald, et al.. (2021). Neural activity during cognitive reappraisal in chronic low back pain: a preliminary study. Scandinavian Journal of Pain. 21(3). 586–596. 7 indexed citations

Tagliaferri, Scott D., Sin Ki Ng, Bernadette M. Fitzgibbon, et al.. (2021). Relative contributions of the nervous system, spinal tissue and psychosocial health to non‐specific low back pain: Multivariate meta‐analysis. European Journal of Pain. 26(3). 578–599. 16 indexed citations

Fitzgerald, Paul B., et al.. (2018). The psychology of ultra-marathon runners: A systematic review. Psychology of sport and exercise. 37. 43–58. 42 indexed citations

Ng, Sin Ki, Flavia Cicuttini, Susan R. Davis, et al.. (2018). Poor general health and lower levels of vitality are associated with persistent, high-intensity low back pain and disability in community-based women: A prospective cohort study. Maturitas. 113. 7–12. 10 indexed citations

Che, Xianwei, Robin Cash, Sin Ki Ng, Paul B. Fitzgerald, & Bernadette M. Fitzgibbon. (2018). A Systematic Review of the Processes Underlying the Main and the Buffering Effect of Social Support on the Experience of Pain. Clinical Journal of Pain. 34(11). 1061–1076. 95 indexed citations

Ng, Sin Ki, Donna M. Urquhart, Paul B. Fitzgerald, et al.. (2017). The Relationship Between Structural and Functional Brain Changes and Altered Emotion and Cognition in Chronic Low Back Pain Brain Changes. Clinical Journal of Pain. 34(3). 237–261. 99 indexed citations

Ng, Sin Ki, Flavia Cicuttini, Yuanyuan Wang, et al.. (2016). Negative beliefs about low back pain are associated with persistent high intensity low back pain. Psychology Health & Medicine. 22(7). 790–799. 23 indexed citations

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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