Vanessa Tyrrell

1.2k total citations
16 papers, 230 citations indexed

About

Vanessa Tyrrell is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Cancer Research. According to data from OpenAlex, Vanessa Tyrrell has authored 16 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pediatrics, Perinatology and Child Health, 5 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Vanessa Tyrrell's work include Genomics and Rare Diseases (5 papers), Childhood Cancer Survivors' Quality of Life (5 papers) and Cancer Genomics and Diagnostics (5 papers). Vanessa Tyrrell is often cited by papers focused on Genomics and Rare Diseases (5 papers), Childhood Cancer Survivors' Quality of Life (5 papers) and Cancer Genomics and Diagnostics (5 papers). Vanessa Tyrrell collaborates with scholars based in Australia, Canada and United States. Vanessa Tyrrell's co-authors include Emily Mould, Tracey O’Brien, Glenn M. Marshall, David S. Ziegler, Loretta M. S. Lau, James Smith, Jeffrey Braithwaite, Frances Rapport, Janet C. Long and Mark J. Cowley and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Cancer Research.

In The Last Decade

Vanessa Tyrrell

15 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vanessa Tyrrell Australia 8 68 53 50 46 42 16 230
Emily Mould Australia 7 48 0.7× 55 1.0× 47 0.9× 18 0.4× 57 1.4× 11 213
Teresa de Rojas Spain 10 46 0.7× 49 0.9× 29 0.6× 124 2.7× 53 1.3× 36 286
Mufiza Farid‐Kapadia Canada 7 44 0.6× 15 0.3× 49 1.0× 27 0.6× 95 2.3× 11 226
Florencia Moreno Argentina 9 35 0.5× 14 0.3× 34 0.7× 87 1.9× 70 1.7× 16 248
Liliana Vásquez Peru 9 22 0.3× 24 0.5× 96 1.9× 94 2.0× 80 1.9× 38 295
Danielle Hammond United States 11 35 0.5× 87 1.6× 21 0.4× 32 0.7× 73 1.7× 68 387
P. Talley United Kingdom 5 19 0.3× 73 1.4× 16 0.3× 34 0.7× 85 2.0× 6 296
Derek Shyr United States 7 29 0.4× 25 0.5× 20 0.4× 18 0.4× 43 1.0× 10 223
Moawia Mohammed Ali Elhassan Sudan 9 15 0.2× 31 0.6× 24 0.5× 34 0.7× 90 2.1× 33 272
Pamela Egan United States 9 32 0.5× 63 1.2× 54 1.1× 98 2.1× 99 2.4× 32 284

Countries citing papers authored by Vanessa Tyrrell

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Tyrrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa Tyrrell

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa Tyrrell. A scholar is included among the top collaborators of Vanessa Tyrrell 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 Vanessa Tyrrell. Vanessa Tyrrell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Tan, Owen, et al.. (2024). The economic costs of precision medicine for clinical translational research among children with high-risk cancer. npj Precision Oncology. 8(1). 224–224. 3 indexed citations
2.
Mayoh, Chelsea, Paulette Barahona, Loretta M. S. Lau, et al.. (2024). Abstract B014: Increasing the clinical utility of transcriptome analysis in high-risk childhood precision oncology. Cancer Research. 84(17_Supplement). B014–B014.
3.
Wakefield, Claire E., Kate Hetherington, Eden G. Robertson, et al.. (2023). Hopes, concerns, satisfaction and regret in a precision medicine trial for childhood cancer: a mixed-methods study of parent and patient perspectives. British Journal of Cancer. 129(10). 1634–1644. 10 indexed citations
4.
McGill, Brittany C., Claire E. Wakefield, Kathy Tucker, et al.. (2023). Parents’ expectations, preferences, and recall of germline findings in a childhood cancer precision medicine trial. Cancer. 129(22). 3620–3632. 12 indexed citations
5.
Smith, James, Jeffrey Braithwaite, Tracey O’Brien, et al.. (2022). Re-Imagining the Data Collection and Analysis Research Process by Proposing a Rapid Qualitative Data Collection and Analytic Roadmap Applied to the Dynamic Context of Precision Medicine. International Journal of Qualitative Methods. 21. 8 indexed citations
7.
Nielsen, Jane, Carolyn Johnston, Tracey O’Brien, & Vanessa Tyrrell. (2022). Returning raw genomic data: rights of research participants and obligations of health care professionals. The Medical Journal of Australia. 216(11). 550–552. 1 indexed citations
8.
Subhash, Vinod Vijay, Alvin Kamili, Marie Wong, et al.. (2021). Whole-genome sequencing facilitates patient-specific quantitative PCR-based minimal residual disease monitoring in acute lymphoblastic leukaemia, neuroblastoma and Ewing sarcoma. British Journal of Cancer. 126(3). 482–491. 6 indexed citations
9.
Lau, Loretta M. S., Paulette Barahona, Marie Wong, et al.. (2021). Efficacy of MEK inhibition in a recurrent malignant peripheral nerve sheath tumor. npj Precision Oncology. 5(1). 9–9. 21 indexed citations
10.
Rapport, Frances, James Smith, Tracey O’Brien, et al.. (2020). Development of an implementation and evaluation strategy for the Australian ‘Zero Childhood Cancer’ (Zero) Program: a study protocol. BMJ Open. 10(6). e034522–e034522. 13 indexed citations
11.
McGill, Brittany C., Claire E. Wakefield, Kate Hetherington, et al.. (2020). “Balancing Expectations with Actual Realities”: Conversations with Clinicians and Scientists in the First Year of a High-Risk Childhood Cancer Precision Medicine Trial. Journal of Personalized Medicine. 10(1). 9–9. 24 indexed citations
12.
Smith, James, Frances Rapport, Tracey O’Brien, et al.. (2020). The rise of rapid implementation: a worked example of solving an existing problem with a new method by combining concept analysis with a systematic integrative review. BMC Health Services Research. 20(1). 449–449. 36 indexed citations
13.
Langenhorst, Jurgen, Alan V. Boddy, Rosemary Sutton, et al.. (2019). Optimization of a clofarabine‐based drug combination regimen for the preclinical evaluation of pediatric acute lymphoblastic leukemia. Pediatric Blood & Cancer. 67(4). e28133–e28133. 4 indexed citations
14.
Ziegler, David S., Marie Wong, Chelsea Mayoh, et al.. (2018). Brief Report: Potent clinical and radiological response to larotrectinib in TRK fusion-driven high-grade glioma. British Journal of Cancer. 119(6). 693–696. 81 indexed citations
15.
Lau, Loretta M. S., Jennifer A. Byrne, Paul G. Ekert, et al.. (2017). Pilot study of a comprehensive precision medicine platform for children with high-risk cancer.. Journal of Clinical Oncology. 35(15_suppl). 10539–10539. 5 indexed citations
16.
Bennetts, Bruce, Arthur Hsu, Simon Mead, et al.. (2014). Quality standards for DNA sequence variation databases to improve clinical management under development in Australia. PubMed. 3(3). 54–57. 2 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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