Ken Tang

1.1k total citations
48 papers, 596 citations indexed

About

Ken Tang is a scholar working on Epidemiology, Emergency Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ken Tang has authored 48 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 20 papers in Emergency Medicine and 10 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ken Tang's work include Traumatic Brain Injury Research (23 papers), Cardiac Arrest and Resuscitation (19 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). Ken Tang is often cited by papers focused on Traumatic Brain Injury Research (23 papers), Cardiac Arrest and Resuscitation (19 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). Ken Tang collaborates with scholars based in Canada, United States and Australia. Ken Tang's co-authors include Roger Zemek, Keith Owen Yeates, Daniel P. Fick, Bo Nivbrant, Riaz J.K. Khan, Felix Yao, William Craig, Jocelyn Gravel, Kathy Boutis and Isabelle Gagnon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Ken Tang

43 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Tang Canada 13 261 176 171 114 84 48 596
Kenneth Shulman United States 12 136 0.5× 70 0.4× 84 0.5× 130 1.1× 38 0.5× 32 475
Paulien H. Goossens Netherlands 16 195 0.7× 35 0.2× 146 0.9× 64 0.6× 41 0.5× 40 719
Mariano Paternoster Italy 15 124 0.5× 132 0.8× 18 0.1× 47 0.4× 58 0.7× 41 641
Mahmut Aşırdizer Türkiye 14 46 0.2× 118 0.7× 105 0.6× 30 0.3× 91 1.1× 76 615
Anthony O. Asemota United States 13 292 1.1× 171 1.0× 186 1.1× 246 2.2× 65 0.8× 28 680
Norman McConachie United Kingdom 18 198 0.8× 71 0.4× 112 0.7× 371 3.3× 40 0.5× 55 784
Pamela Garcia‐Filion United States 13 202 0.8× 94 0.5× 171 1.0× 230 2.0× 51 0.6× 35 791
Christopher A. McGrew United States 10 126 0.5× 74 0.4× 121 0.7× 42 0.4× 46 0.5× 32 750
Bhojo A. Khealani Pakistan 19 397 1.5× 119 0.7× 15 0.1× 381 3.3× 53 0.6× 44 889
Laura L. Lehman United States 14 250 1.0× 61 0.3× 22 0.1× 194 1.7× 17 0.2× 48 637

Countries citing papers authored by Ken Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ken Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Tang. A scholar is included among the top collaborators of Ken Tang 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 Ken Tang. Ken Tang 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
1.
Rose, Sean C., Ken Tang, Keith Owen Yeates, et al.. (2026). Frequency and Predictors of Persisting Symptoms 1 Year After Early Childhood Concussion. PEDIATRICS. 157(2).
2.
Yeates, Keith Owen, Ken Tang, Miriam H. Beauchamp, et al.. (2025). Symptom Trajectories and Their Biopsychosocial Correlates in Pediatric Concussion: An A-CAP Study. Journal of Neurotrauma. 42(21-22). 1948–1962.
3.
Ledoux, Andrée‐Anne, Ken Tang, Keith Owen Yeates, et al.. (2024). The association between symptom burden and processing speed and executive functioning at 4 and 12 weeks following pediatric concussion. Journal of the International Neuropsychological Society. 30(6). 533–545. 1 indexed citations
5.
Yeates, Keith Owen, Karen Barlow, Bruce Wright, et al.. (2023). Health care impact of implementing a clinical pathway for acute care of pediatric concussion: a stepped wedge, cluster randomised trial. Canadian Journal of Emergency Medicine. 25(7). 627–636. 7 indexed citations
6.
Craig, William, et al.. (2023). Autonomic Cardioregulatory Function Does Not Correlate With Symptom Improvement After Concussion in Children and Adolescents. Journal of Neurotrauma. 41(1-2). 161–170. 2 indexed citations
7.
Doan, Quynh, Leah Chadwick, Ken Tang, et al.. (2022). A Prospective Cohort Study of the Association Between Preinjury Psychosocial Function and Postconcussive Symptoms in Pediatric Mild Traumatic Brain Injury: An A-CAP Study. Journal of Head Trauma Rehabilitation. 38(4). 294–307. 3 indexed citations
8.
Tang, Ken, Roger Zemek, Miriam H. Beauchamp, et al.. (2022). Factor structure and measurement invariance of post-concussion symptom ratings on the Health and Behaviour Inventory across time, raters, and groups: An A-CAP study. Journal of the International Neuropsychological Society. 29(4). 346–359. 6 indexed citations
9.
Tang, Ken, et al.. (2021). Transient vs Permanent Congenital Hypothyroidism in Ontario, Canada: Predictive Factors and Scoring System. The Journal of Clinical Endocrinology & Metabolism. 107(3). 638–648. 12 indexed citations
10.
Ledoux, Andrée‐Anne, Ken Tang, Isabelle Gagnon, et al.. (2021). Association Between Preinjury Symptoms and Postconcussion Symptoms at 4 Weeks in Youth. Journal of Head Trauma Rehabilitation. 37(2). E90–E101. 5 indexed citations
11.
Taylor, H. Gerry, Erin D. Bigler, Nori Minich, et al.. (2021). Sex Differences in the Outcomes of Mild Traumatic Brain Injury in Children Presenting to the Emergency Department. Journal of Neurotrauma. 39(1-2). 93–101. 12 indexed citations
12.
Lawson, Margaret L., Brenda Bradley, Karen McAssey, et al.. (2020). Timing of CGM initiation in pediatric diabetes: The CGM TIME Trial. Pediatric Diabetes. 22(2). 279–287. 8 indexed citations
13.
Ierssel, Jacqueline van, Andrée‐Anne Ledoux, Ken Tang, et al.. (2020). Symptom Burden, School Function, and Physical Activity One Year Following Pediatric Concussion. The Journal of Pediatrics. 228. 190–198.e3. 10 indexed citations
15.
Beauchamp, Miriam H., Ken Tang, Keith Owen Yeates, et al.. (2019). Predicting Wellness After Pediatric Concussion. Journal of the International Neuropsychological Society. 25(4). 375–389. 15 indexed citations
16.
Miller, Elka, et al.. (2019). Comparison of the diagnostic performance of the 2017 ACR TI-RADS guideline to the Kwak guideline in children with thyroid nodules. Pediatric Radiology. 49(7). 862–868. 16 indexed citations
17.
Huynh, Minh, Ken Tang, & Kevin Cheung. (2019). A Comparison of Conservative and Operative Management of Thumb Ulnar Collateral Ligament Avulsion Fractures in Children. Hand. 15(6). 812–817. 2 indexed citations
18.
Ledoux, Andrée‐Anne, Ken Tang, Keith Owen Yeates, et al.. (2018). Natural Progression of Symptom Change and Recovery From Concussion in a Pediatric Population. JAMA Pediatrics. 173(1). e183820–e183820. 120 indexed citations
20.
Boutis, Kathy, Jocelyn Gravel, Stephen B. Freedman, et al.. (2018). The Diagnosis of Concussion in Pediatric Emergency Departments: A Prospective Multicenter Study. Journal of Emergency Medicine. 54(6). 757–765. 11 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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