Tracey‐Lea Laba

2.7k total citations · 1 hit paper
85 papers, 1.6k citations indexed

About

Tracey‐Lea Laba is a scholar working on Economics and Econometrics, General Health Professions and Family Practice. According to data from OpenAlex, Tracey‐Lea Laba has authored 85 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Economics and Econometrics, 34 papers in General Health Professions and 25 papers in Family Practice. Recurrent topics in Tracey‐Lea Laba's work include Health Systems, Economic Evaluations, Quality of Life (34 papers), Medication Adherence and Compliance (25 papers) and Pharmaceutical Economics and Policy (16 papers). Tracey‐Lea Laba is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (34 papers), Medication Adherence and Compliance (25 papers) and Pharmaceutical Economics and Policy (16 papers). Tracey‐Lea Laba collaborates with scholars based in Australia, United Kingdom and Canada. Tracey‐Lea Laba's co-authors include Stephen Jan, Julie Redfern, Clara K Chow, Jay Thakkar, Karla Santo, Anthony Rodgers, Mark Woodward, R. Kurup, Aravinda Thiagalingam and Jo‐anne E Brien and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Tracey‐Lea Laba

78 papers receiving 1.6k citations

Hit Papers

Mobile Telephone Text Messaging for Medication Adherence ... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tracey‐Lea Laba Australia 20 630 411 364 243 186 85 1.6k
O. Kenrik Duru United States 25 650 1.0× 284 0.7× 374 1.0× 236 1.0× 94 0.5× 110 2.2k
Vicki Fung United States 24 843 1.3× 374 0.9× 932 2.6× 163 0.7× 107 0.6× 96 2.1k
Paul Roderick United Kingdom 23 468 0.7× 245 0.6× 216 0.6× 300 1.2× 198 1.1× 53 2.2k
E Sabaté Switzerland 5 315 0.5× 805 2.0× 226 0.6× 274 1.1× 261 1.4× 11 1.9k
Rebecca Jeffery Canada 8 447 0.7× 1.1k 2.6× 350 1.0× 341 1.4× 298 1.6× 12 2.1k
Patricia V. Burkhart United States 15 442 0.7× 927 2.3× 235 0.6× 401 1.7× 376 2.0× 23 2.5k
Marie T. Brown United States 6 331 0.5× 878 2.1× 283 0.8× 272 1.1× 257 1.4× 11 1.7k
Clarissa J. Diamantidis United States 23 689 1.1× 154 0.4× 125 0.3× 222 0.9× 91 0.5× 89 1.8k
Jason S. Egginton United States 20 660 1.0× 191 0.5× 510 1.4× 122 0.5× 84 0.5× 46 1.7k
Mike Crilly United Kingdom 16 326 0.5× 205 0.5× 264 0.7× 215 0.9× 134 0.7× 46 1.5k

Countries citing papers authored by Tracey‐Lea Laba

Since Specialization
Citations

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

Fields of papers citing papers by Tracey‐Lea Laba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tracey‐Lea Laba. 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 Tracey‐Lea Laba. The network helps show where Tracey‐Lea Laba may publish in the future.

Co-authorship network of co-authors of Tracey‐Lea Laba

This figure shows the co-authorship network connecting the top 25 collaborators of Tracey‐Lea Laba. A scholar is included among the top collaborators of Tracey‐Lea Laba 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 Tracey‐Lea Laba. Tracey‐Lea Laba 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
2.
Iqbal, Afrin, Tazeen Tahsina, Tanvir Huda, et al.. (2024). Women’s participation in household decision-making: Qualitative findings from the Shonjibon Trial in rural Bangladesh. SHILAP Revista de lepidopterología. 4(6). e0002907–e0002907.
3.
Carland, Jane E., Jonathan Brett, Sophie L. Stocker, et al.. (2024). Economic evaluations of therapeutic drug monitoring interventions in acute hospital‐based settings: A systematic review. British Journal of Clinical Pharmacology. 90(9). 2038–2066.
5.
Makeham, Meredith, et al.. (2024). Prescription drug monitoring program in Australia: a qualitative study of stakeholders’ experiences and perceptions of a state-wide implementation. BMC Health Services Research. 24(1). 1147–1147. 1 indexed citations
6.
Davis, Ian D., et al.. (2023). Societal benefits of surrogate outcomes to support reimbursement decisions: The case of prostate cancer.. Journal of Clinical Oncology. 41(6_suppl). 372–372.
8.
9.
Wise, Sarah, Natalie Taylor, Michelle Le, et al.. (2022). Australian hospital outpatient pharmacies: service adaptations during the 2020 national coronavirus disease 2019 lockdown. Journal of Pharmacy Practice and Research. 52(4). 326–328. 3 indexed citations
10.
Hyun, Karice, Andrew Knight, Charlotte Hespe, et al.. (2021). Gender Comparison of Receipt of Government-Funded Health Services and Medication Prescriptions for the Management of Patients With Cardiovascular Disease in Primary Care. Heart Lung and Circulation. 30(10). 1516–1524. 2 indexed citations
11.
Pearson, Sallie‐Anne, Nicole Pratt, Juliana de Oliveira Costa, et al.. (2021). Generating Real-World Evidence on the Quality Use, Benefits and Safety of Medicines in Australia: History, Challenges and a Roadmap for the Future. International Journal of Environmental Research and Public Health. 18(24). 13345–13345. 14 indexed citations
12.
Dibley, Michael J., John Hoddinott, Tanvir Huda, et al.. (2021). Assessing the impact of a combined nutrition counselling and cash transfer intervention on women’s empowerment in rural Bangladesh: a randomised control trial protocol. BMJ Open. 11(6). e044263–e044263. 2 indexed citations
13.
Nguyen, Amy, et al.. (2020). Out‐of‐pocket spending among a cohort of Australians living with gout. International Journal of Rheumatic Diseases. 24(3). 327–334. 7 indexed citations
14.
Norman, Richard, Suzanne Robinson, Elin C. Lehnbom, et al.. (2020). Community pharmacist workflow: Space for Pharmacy-based Interventions and Consultation TimE study protocol. International Journal of Pharmacy Practice. 28(5). 441–448. 3 indexed citations
16.
Angell, Blake, Tracey‐Lea Laba, Caroline Lukaszyk, et al.. (2018). Participant preferences for an Aboriginal-specific fall prevention program: Measuring the value of culturally-appropriate care. PLoS ONE. 13(8). e0203264–e0203264. 4 indexed citations
17.
Laba, Tracey‐Lea, Thomas Lung, Stephen Jan, et al.. (2018). Medication non-adherence in a cohort of chronically ill Australians: A case of missed opportunities.. PubMed. 47(8). 556–562. 5 indexed citations
18.
Taylor, Colman, Naomi Hammond, Tracey‐Lea Laba, et al.. (2017). Drivers of choice of resuscitation fluid in the intensive care unit: a discrete choice experiment. Critical Care and Resuscitation. 19(2). 134–141.e11. 6 indexed citations
19.
Joshi, Rohina, Anushka Patel, David Peiris, et al.. (2015). INTegrated Electronic General practice support tool, phaRmacy led intervention And combination Therapy Evaluation trial (INTEGRATE). Heart Lung and Circulation. 24. S385–S385. 2 indexed citations
20.
Laba, Tracey‐Lea, Jo‐anne E Brien, & Stephen Jan. (2012). Understanding rational non-adherence to medications. A discrete choice experiment in a community sample in Australia. BMC Family Practice. 13(1). 61–61. 24 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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