Jason Z. Moore

1.0k total citations
79 papers, 766 citations indexed

About

Jason Z. Moore is a scholar working on Surgery, Biomedical Engineering and Emergency Medical Services. According to data from OpenAlex, Jason Z. Moore has authored 79 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Surgery, 37 papers in Biomedical Engineering and 20 papers in Emergency Medical Services. Recurrent topics in Jason Z. Moore's work include Soft Robotics and Applications (31 papers), Surgical Simulation and Training (30 papers) and Central Venous Catheters and Hemodialysis (20 papers). Jason Z. Moore is often cited by papers focused on Soft Robotics and Applications (31 papers), Surgical Simulation and Training (30 papers) and Central Venous Catheters and Hemodialysis (20 papers). Jason Z. Moore collaborates with scholars based in United States, China and United Kingdom. Jason Z. Moore's co-authors include Albert J. Shih, Patrick W. McLaughlin, Scarlett R. Miller, Yuan‐Shin Lee, David Han, Katelin A. Mirkin, Kornel F. Ehmann, Qinhe Zhang, Jonathon Schwartz and Hong-En Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and American Journal of Roentgenology.

In The Last Decade

Jason Z. Moore

71 papers receiving 749 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Z. Moore United States 16 386 322 94 84 80 79 766
Giulio Dagnino United Kingdom 17 471 1.2× 422 1.3× 26 0.3× 36 0.4× 83 1.0× 50 960
Michael Stadler United States 18 670 1.7× 847 2.6× 11 0.1× 91 1.1× 110 1.4× 58 1.8k
Hyun‐Chang Kim South Korea 22 215 0.6× 337 1.0× 15 0.2× 66 0.8× 133 1.7× 106 1.5k
Jaesung Hong South Korea 21 689 1.8× 662 2.1× 33 0.4× 16 0.2× 62 0.8× 86 1.3k
Jaesoon Choi South Korea 18 673 1.7× 399 1.2× 8 0.1× 14 0.2× 75 0.9× 87 1.1k
Zurab Machaidze United States 10 428 1.1× 262 0.8× 11 0.1× 17 0.2× 122 1.5× 22 675
Justin D. Opfermann United States 16 649 1.7× 574 1.8× 9 0.1× 17 0.2× 64 0.8× 60 1.3k
Thomas Looi Canada 18 748 1.9× 532 1.7× 5 0.1× 59 0.7× 108 1.4× 91 1.1k
John Strang United States 19 788 2.0× 360 1.1× 19 0.2× 13 0.2× 70 0.9× 51 1.3k
Francis X. Creighton United States 18 345 0.9× 276 0.9× 9 0.1× 94 1.1× 26 0.3× 74 1.1k

Countries citing papers authored by Jason Z. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Jason Z. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason Z. Moore. 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 Jason Z. Moore. The network helps show where Jason Z. Moore may publish in the future.

Co-authorship network of co-authors of Jason Z. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Z. Moore. A scholar is included among the top collaborators of Jason Z. Moore 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 Jason Z. Moore. Jason Z. Moore 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.
Sinz, Elizabeth, et al.. (2024). Competence over confidence: uncovering lower self-efficacy for women residents during central venous catheterization training. BMC Medical Education. 24(1). 923–923. 5 indexed citations
2.
Zhou, Xianzheng, et al.. (2024). A Dual‐Mode Robot‐Assisted Plate Implantation Method for Femoral Shaft Fracture. International Journal of Medical Robotics and Computer Assisted Surgery. 20(6). e70008–e70008. 1 indexed citations
3.
Moore, Jason Z., et al.. (2024). Evaluating the effects of comprehensive simulation on central venous catheterization training: a comparative observational study. BMC Medical Education. 24(1). 745–745. 1 indexed citations
4.
Sinz, Elizabeth, et al.. (2024). Clinical Outcomes of Standardized Central Venous Catheterization Simulation Training: A Comparative Analysis. Journal of surgical education. 81(3). 444–455. 2 indexed citations
5.
6.
Moore, Jason Z., et al.. (2022). Slow and Steady: Examining the impact of hands-on instructions on learnability of a training simulator to enhance development of core skills in Central Venous Catheterization. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 66(1). 1867–1871.
7.
Sinz, Elizabeth, et al.. (2022). Evaluating the Impact of Assessment Metrics for Simulated Central Venous Catheterization Training. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 19(1). 27–34. 5 indexed citations
8.
Adhikary, Sanjib Das, et al.. (2019). Simulating Ultrasound Tissue Deformation Using Inverse Mapping. Journal of Computational and Nonlinear Dynamics. 14(10). 101004–1010048. 2 indexed citations
9.
Chen, Hong-En, et al.. (2019). From the simulation center to the bedside: Validating the efficacy of a dynamic haptic robotic trainer in internal jugular central venous catheter placement. The American Journal of Surgery. 219(2). 379–384. 11 indexed citations
10.
Chen, Hong-En, et al.. (2018). Investigating the Effect of Simulator Functional Fidelity and Personalized Feedback on Central Venous Catheterization Training. Journal of surgical education. 75(5). 1410–1421. 16 indexed citations
11.
Chen, Hong-En, et al.. (2018). Looks can be deceiving: Gaze pattern differences between novices and experts during placement of central lines. The American Journal of Surgery. 217(2). 362–367. 16 indexed citations
12.
Mirkin, Katelin A., et al.. (2017). Personalized Learning in Medical Education: Designing a User Interface for a Dynamic Haptic Robotic Trainer for Central Venous Catheterization. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 61(1). 615–619. 23 indexed citations
13.
Mirkin, Katelin A., et al.. (2017). Training Surgical Residents With a Haptic Robotic Central Venous Catheterization Simulator. Journal of surgical education. 74(6). 1066–1073. 21 indexed citations
14.
Lee, Yuan‐Shin, et al.. (2016). Needle geometry effect on vibration tissue cutting. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 232(5). 827–837. 11 indexed citations
15.
Cai, Yi, Jason Z. Moore, & Yuan‐Shin Lee. (2016). Intricate Geometric Design and Manufacturing on Vibration-Assisted Needles for Medical Applications. Rare & Special e-Zone (The Hong Kong University of Science and Technology).
16.
Kim, Inki, et al.. (2015). Needle Insertion Force Model for Haptic Simulation. 11 indexed citations
17.
Abdullah, Arif M., et al.. (2013). Investigation of friction in needle to soft tissue interaction. 30–36. 2 indexed citations
18.
Abdullah, Arif M., et al.. (2012). SU‐D‐213AB‐06: Surface Texture and Insertion Speed Effect on Needle Friction. Medical Physics. 39(6Part3). 3612–3612. 1 indexed citations
19.
Schwartz, Jonathon, et al.. (2012). Effects of insertion speed and trocar stiffness on the accuracy of needle position for brachytherapy. Medical Physics. 39(4). 1811–1817. 23 indexed citations
20.
Goldfarb, David S., et al.. (1978). Modified graphite-expanded PTFE (G-PTFE) for use as a superior vena cava (SVC) substitute.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 24. 201–8. 4 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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