Tim Shaw

5.1k total citations
196 papers, 3.2k citations indexed

About

Tim Shaw is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Oncology. According to data from OpenAlex, Tim Shaw has authored 196 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Public Health, Environmental and Occupational Health, 70 papers in General Health Professions and 34 papers in Oncology. Recurrent topics in Tim Shaw's work include Innovations in Medical Education (26 papers), Electronic Health Records Systems (23 papers) and Telemedicine and Telehealth Implementation (23 papers). Tim Shaw is often cited by papers focused on Innovations in Medical Education (26 papers), Electronic Health Records Systems (23 papers) and Telemedicine and Telehealth Implementation (23 papers). Tim Shaw collaborates with scholars based in Australia, United States and United Kingdom. Tim Shaw's co-authors include Anna Janssen, Deborah McGregor, Christopher R. Murphy, Stewart Barnet, Jane Phillips, Melissa Brunner, Nicole Rankin, Melanie Keep, Janine McMillan and Peter Angus and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

Tim Shaw

178 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Shaw Australia 29 971 865 411 333 262 196 3.2k
Jeremy Jones United Kingdom 30 416 0.4× 951 1.1× 323 0.8× 378 1.1× 131 0.5× 73 3.7k
Carlos A. Estrada United States 28 850 0.9× 811 0.9× 177 0.4× 434 1.3× 146 0.6× 128 3.6k
Nicole Huang Taiwan 39 564 0.6× 811 0.9× 267 0.6× 832 2.5× 362 1.4× 205 4.3k
Rachel Hess United States 43 1.5k 1.6× 1.3k 1.5× 658 1.6× 566 1.7× 200 0.8× 201 7.1k
Michelle A. King Australia 23 540 0.6× 1.1k 1.2× 181 0.4× 487 1.5× 122 0.5× 105 3.7k
Timothy J. Wood Canada 31 2.1k 2.2× 907 1.0× 389 0.9× 148 0.4× 583 2.2× 128 4.5k
E. John Orav United States 39 486 0.5× 2.2k 2.5× 249 0.6× 581 1.7× 167 0.6× 108 7.0k
Theresa A Lawrie United Kingdom 40 1.7k 1.8× 836 1.0× 634 1.5× 720 2.2× 251 1.0× 96 6.3k
Amanda Burls United Kingdom 41 1.2k 1.3× 1.3k 1.5× 194 0.5× 1.0k 3.1× 159 0.6× 100 5.7k
Marjorie A. Bowman United States 32 1.0k 1.0× 1.3k 1.5× 771 1.9× 368 1.1× 86 0.3× 160 4.9k

Countries citing papers authored by Tim Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Tim Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Shaw. A scholar is included among the top collaborators of Tim Shaw 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 Tim Shaw. Tim Shaw 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.
Shaw, Tim, et al.. (2025). Patient Perspectives on Conversational Artificial Intelligence for Atrial Fibrillation Self-Management: Qualitative Analysis. Journal of Medical Internet Research. 27. e64325–e64325. 3 indexed citations
2.
Shaw, Miranda, Tim Shaw, Amina Tariq, et al.. (2024). Health IT Implementation and the Impact of the COVID-19 Pandemic on Clinician-IT Dynamics: Qualitative Study. Journal of Medical Internet Research. 27. e57847–e57847. 1 indexed citations
3.
Thompson, Alexandra, et al.. (2024). Patient and carer experiences of hospital‐based hybrid virtual medical care: a qualitative study. The Medical Journal of Australia. 221(S11). S22–S27. 4 indexed citations
4.
Shaw, Tim, et al.. (2024). Australian medical regulations and strengthened continuing professional development (CPD): A policy implementation gap analysis with the specialist medical colleges. Focus on Health Professional Education A Multi-Professional Journal. 25(3). 59–84. 1 indexed citations
5.
Shaw, Miranda, et al.. (2024). Fighting the Same Battles on a New Battleground: Embedding Technologies in a Virtual Care Environment. Studies in health technology and informatics. 310. 1066–1070. 1 indexed citations
6.
Toh, James Wei Tatt, Anna Janssen, Tim Shaw, et al.. (2023). Measurement that matters: A systematic review and modified Delphi of multidisciplinary colorectal cancer quality indicators. Asia-Pacific Journal of Clinical Oncology. 20(2). 259–274. 4 indexed citations
8.
Curtis, Kate, Michael Dinh, Amith Shetty, et al.. (2023). The Emergency nurse Protocols Initiating Care—Sydney Triage to Admission Risk Tool (EPIC-START) trial: protocol for a stepped wedge implementation trial. SHILAP Revista de lepidopterología. 4(1). 70–70. 5 indexed citations
9.
Tong, Huong Ly, J. Atherton, Rimantė Ronto, et al.. (2022). The Use of Mobile Apps for Heart Failure Self-management: Systematic Review of Experimental and Qualitative Studies. JMIR Cardio. 6(1). e33839–e33839. 31 indexed citations
11.
Klimis, Harry, Tim Shaw, Amy Von Huben, et al.. (2021). Can existing electronic medical records be used to quantify cardiovascular risk at point of care?. Internal Medicine Journal. 52(11). 1934–1942. 1 indexed citations
12.
Dylke, Elizabeth S., et al.. (2020). Clinician Assessment of Upper Limb Lymphedema: An Observational Study. Lymphatic Research and Biology. 19(2). 159–164. 2 indexed citations
13.
Janssen, Anna, Judy Kay, Nirmala Pathmanathan, et al.. (2019). Developing an Intranet-Based Lymphedema Dashboard for Breast Cancer Multidisciplinary Teams: Design Research Study. Journal of Medical Internet Research. 22(4). e13188–e13188. 12 indexed citations
15.
Heneka, Nicole, et al.. (2018). Clinicians’ perceptions of medication errors with opioids in cancer and palliative care services: a priority setting report. Supportive Care in Cancer. 26(10). 3315–3318. 3 indexed citations
16.
Janssen, Anna, Tim Shaw, & Peter Goodyear. (2015). Using Video Games to Enhance Motivation States in Online Education: Protocol for a Team-Based Digital Game. SHILAP Revista de lepidopterología. 4(3). e114–e114. 6 indexed citations
17.
Shaw, Tim, et al.. (2013). What do consumers see as important in the continuity of their care?. Supportive Care in Cancer. 21(9). 2637–2642. 8 indexed citations
18.
Pernar, Luise I., et al.. (2011). A Checklist for a Central Venous Line-Based Simulation Scenario to Measure Behavioral Compliance With Joint Commission National Patient Safety Goals. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 6(2). 117–120. 4 indexed citations
19.
Jiwa, Moyez, et al.. (2009). An inclusive approach to raising standards in general practice: working with a 'community of practice' in Western Australia. BMC Medical Research Methodology. 9(1). 13–13. 17 indexed citations
20.
Haitchi, Hans Michael, Robert M. Powell, Tim Shaw, et al.. (2005). ADAM33 Expression in Asthmatic Airways and Human Embryonic Lungs. American Journal of Respiratory and Critical Care Medicine. 171(9). 958–965. 78 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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