Tzu‐Chieh Yu

1.3k total citations
31 papers, 925 citations indexed

About

Tzu‐Chieh Yu is a scholar working on Public Health, Environmental and Occupational Health, Surgery and General Health Professions. According to data from OpenAlex, Tzu‐Chieh Yu has authored 31 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Public Health, Environmental and Occupational Health, 8 papers in Surgery and 6 papers in General Health Professions. Recurrent topics in Tzu‐Chieh Yu's work include Innovations in Medical Education (15 papers), Medical Education and Admissions (6 papers) and Clinical Reasoning and Diagnostic Skills (5 papers). Tzu‐Chieh Yu is often cited by papers focused on Innovations in Medical Education (15 papers), Medical Education and Admissions (6 papers) and Clinical Reasoning and Diagnostic Skills (5 papers). Tzu‐Chieh Yu collaborates with scholars based in New Zealand, Taiwan and China. Tzu‐Chieh Yu's co-authors include Andrew Hill, Sanket Srinivasa, Mark Barrow, John Hattie, Hussain Alyami, Mataroria Lyndon, Marcus A. Henning, Arman Kahokehr, Morgan Taylor and Mattias Soop and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Surgery and British journal of surgery.

In The Last Decade

Tzu‐Chieh Yu

30 papers receiving 892 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tzu‐Chieh Yu New Zealand 16 370 285 219 199 89 31 925
Ryan M. Antiel United States 20 298 0.8× 558 2.0× 193 0.9× 226 1.1× 17 0.2× 70 1.1k
Helen Mulholland United Kingdom 21 342 0.9× 248 0.9× 142 0.6× 391 2.0× 136 1.5× 62 1.3k
Paul M. Wallach United States 15 305 0.8× 115 0.4× 143 0.7× 23 0.1× 56 0.6× 59 683
Michael C. Wadman United States 18 150 0.4× 112 0.4× 142 0.6× 84 0.4× 18 0.2× 73 960
Mark C. Henderson United States 15 449 1.2× 151 0.5× 201 0.9× 141 0.7× 60 0.7× 48 925
Daniel Marchalik United States 16 240 0.6× 134 0.5× 391 1.8× 25 0.1× 18 0.2× 53 865
Jennifer Conn Australia 17 313 0.8× 188 0.7× 151 0.7× 71 0.4× 52 0.6× 44 1.1k
Andrea N. Leep Hunderfund United States 16 327 0.9× 142 0.5× 287 1.3× 26 0.1× 63 0.7× 58 749
Penny Allen Australia 22 166 0.4× 163 0.6× 186 0.8× 220 1.1× 9 0.1× 78 1.5k
Rebecca D. Minehart United States 13 155 0.4× 116 0.4× 128 0.6× 131 0.7× 79 0.9× 54 737

Countries citing papers authored by Tzu‐Chieh Yu

Since Specialization
Citations

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

Fields of papers citing papers by Tzu‐Chieh Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzu‐Chieh Yu. 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 Tzu‐Chieh Yu. The network helps show where Tzu‐Chieh Yu may publish in the future.

Co-authorship network of co-authors of Tzu‐Chieh Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Tzu‐Chieh Yu. A scholar is included among the top collaborators of Tzu‐Chieh Yu 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 Tzu‐Chieh Yu. Tzu‐Chieh Yu 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.
Yu, Tzu‐Chieh, et al.. (2023). Machine Learning Algorithm Predicts Mortality Risk in Intensive Care Unit for Patients with Traumatic Brain Injury. Diagnostics. 13(18). 3016–3016. 8 indexed citations
2.
Yu, Tzu‐Chieh, et al.. (2020). Are We Preparing Medical Students for Their Transition to Clinical Leaders? A National Survey. Medical Science Educator. 31(1). 91–99. 2 indexed citations
3.
Yu, Tzu‐Chieh, Tanisha Jowsey, & Marcus A. Henning. (2018). Evaluation of a modified 16-item Readiness for Interprofessional Learning Scale (RIPLS): Exploratory and confirmatory factor analyses. Journal of Interprofessional Care. 32(5). 584–591. 15 indexed citations
4.
Lyndon, Mataroria, Marcus A. Henning, Hussain Alyami, et al.. (2017). Burnout, quality of life, motivation, and academic achievement among medical students: A person-oriented approach. Perspectives on Medical Education. 6(2). 108–114. 101 indexed citations
5.
Lyndon, Mataroria, Thomas N. Masters, Tzu‐Chieh Yu, et al.. (2016). Medical Student Motivation and Well-being: A Systematic Review. Education in Medicine Journal. 8(3). 4 indexed citations
6.
Yu, Tzu‐Chieh, Craig S. Webster, & Jennifer Weller. (2016). Simulation in the medical undergraduate curriculum to promote interprofessional collaboration for acute care: a systematic review. BMJ Simulation & Technology Enhanced Learning. 2(3). 90–96. 9 indexed citations
7.
Lyndon, Mataroria, Hussain Alyami, Tzu‐Chieh Yu, et al.. (2014). The relationship between academic assessment and psychological distress among medical students: a systematic review. Perspectives on Medical Education. 3(6). 405–418. 72 indexed citations
8.
Hamill, James, Stephen M. Evans, Vipul Upadhyay, et al.. (2013). Duration of Postoperative Intravenous Antibiotics in Childhood Complicated Appendicitis: A Propensity Score-Matched Comparison Study. European Journal of Pediatric Surgery. 24(4). 341–349. 16 indexed citations
9.
Yu, Tzu‐Chieh, Daniel P. Lemanu, Marcus A. Henning, et al.. (2013). General surgical interns contributing to the clerkship learning environment of medical students. Medical Teacher. 35(8). 639–647. 8 indexed citations
10.
Consedine, Nathan S., Tzu‐Chieh Yu, & John A. Windsor. (2013). Nursing, pharmacy, or medicine? Disgust sensitivity predicts career interest among trainee health professionals. Advances in Health Sciences Education. 18(5). 997–1008. 18 indexed citations
11.
Yu, Tzu‐Chieh, et al.. (2012). Warm, Humidified Carbon Dioxide Gas Insufflation for Laparoscopic Appendicectomy in Children. Annals of Surgery. 257(1). 44–53. 28 indexed citations
12.
Yu, Tzu‐Chieh, Abhinav Jain, Mandira Chakraborty, Nichola Wilson, & Andrew Hill. (2012). Factors Influencing Intentions of Female Medical Students to Pursue a Surgical Career. Journal of the American College of Surgeons. 215(6). 878–889. 32 indexed citations
13.
Fu, Xiaoyun, et al.. (2011). Health-related quality of life of trauma patients after intensive care: a 2-year follow-up study. European Journal of Trauma and Emergency Surgery. 37(6). 629–633. 2 indexed citations
14.
Kahokehr, Arman, Sanket Srinivasa, Tzu‐Chieh Yu, & Andrew Hill. (2011). Surgical research after medical school: get registered and then get on with it. ANZ Journal of Surgery. 81(6). 404–405. 3 indexed citations
16.
Yu, Tzu‐Chieh, et al.. (2011). Implementing an Institution-wide Resident-as-Teacher Program: Successes and Challenges. Journal of Graduate Medical Education. 3(3). 438–439. 9 indexed citations
17.
Yu, Tzu‐Chieh, et al.. (2011). Clinical supervisor evaluations during general surgery clerkships. Medical Teacher. 33(9). e479–e484. 10 indexed citations
18.
Srinivasa, Sanket, Arman Kahokehr, Tzu‐Chieh Yu, & Andrew Hill. (2011). Preoperative Glucocorticoid Use in Major Abdominal Surgery. Annals of Surgery. 254(2). 183–191. 90 indexed citations
19.
Yu, Tzu‐Chieh, et al.. (2010). A survey of general surgery clerkships in Australian and New Zealand medical schools. ANZ Journal of Surgery. 80(12). 902–906. 1 indexed citations
20.
Yu, Tzu‐Chieh, et al.. (2009). Effectiveness of Standardized Clerkship Teaching Across Multiple Sites. Journal of Surgical Research. 168(1). e17–e23. 14 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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