Daniel Catchpoole

6.3k total citations
124 papers, 2.5k citations indexed

About

Daniel Catchpoole is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Neurology. According to data from OpenAlex, Daniel Catchpoole has authored 124 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 28 papers in Public Health, Environmental and Occupational Health and 21 papers in Neurology. Recurrent topics in Daniel Catchpoole's work include Neuroblastoma Research and Treatments (20 papers), Gene expression and cancer classification (14 papers) and Epigenetics and DNA Methylation (13 papers). Daniel Catchpoole is often cited by papers focused on Neuroblastoma Research and Treatments (20 papers), Gene expression and cancer classification (14 papers) and Epigenetics and DNA Methylation (13 papers). Daniel Catchpoole collaborates with scholars based in Australia, United States and United Kingdom. Daniel Catchpoole's co-authors include Paul Kennedy, Eamonn R. Maher, Farida Latif, Bernard W. Stewart, Javed Khan, Thomas L. Dunwell, Jun S. Wei, Wendy N. Cooper, Dean Gentle and Sven Bilke and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Daniel Catchpoole

120 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Catchpoole Australia 30 1.5k 571 470 415 350 124 2.5k
Michael Baudis Switzerland 25 1.2k 0.8× 636 1.1× 383 0.8× 599 1.4× 581 1.7× 78 2.4k
Kathreena M. Kurian United Kingdom 27 1.0k 0.7× 409 0.7× 286 0.6× 426 1.0× 220 0.6× 101 2.2k
Huimin Geng United States 31 1.9k 1.3× 372 0.7× 182 0.4× 768 1.9× 178 0.5× 115 3.3k
Grischa Toedt Germany 26 1.7k 1.2× 591 1.0× 139 0.3× 456 1.1× 320 0.9× 33 2.6k
Adam Resnick United States 30 1.8k 1.2× 326 0.6× 574 1.2× 447 1.1× 175 0.5× 112 3.3k
Wei Keat Lim United States 19 2.5k 1.7× 854 1.5× 211 0.4× 753 1.8× 197 0.6× 43 4.4k
Peter Riegman Netherlands 31 1.9k 1.3× 766 1.3× 220 0.5× 513 1.2× 505 1.4× 70 3.8k
Waibhav Tembe United States 17 1.1k 0.8× 611 1.1× 88 0.2× 235 0.6× 353 1.0× 31 2.5k
Gabriela Alexe United States 31 2.2k 1.5× 924 1.6× 240 0.5× 1.2k 2.8× 208 0.6× 82 3.9k
Philippe Broët France 32 1.0k 0.7× 772 1.4× 631 1.3× 787 1.9× 396 1.1× 91 3.7k

Countries citing papers authored by Daniel Catchpoole

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Catchpoole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Catchpoole

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Catchpoole. A scholar is included among the top collaborators of Daniel Catchpoole 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 Daniel Catchpoole. Daniel Catchpoole 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.
Desai, Kavita, Jiwoong Kim, Qinbo Zhou, et al.. (2024). DROSHA Regulates Mesenchymal Gene Expression in Wilms Tumor. Molecular Cancer Research. 22(8). 711–720. 2 indexed citations
2.
Catchpoole, Daniel, et al.. (2023). A Game-Theoretical Approach to Clinical Decision Making with Immersive Visualisation. Applied Sciences. 13(18). 10178–10178. 2 indexed citations
3.
Nguyễn, Quang Vinh, et al.. (2023). Understanding cancer patient cohorts in virtual reality environment for better clinical decisions: a usability study. BMC Medical Informatics and Decision Making. 23(1). 295–295. 1 indexed citations
4.
Catchpoole, Daniel, et al.. (2023). Exocentric and Egocentric Views for Biomedical Data Analytics in Virtual Environments—A Usability Study. Journal of Imaging. 10(1). 3–3. 3 indexed citations
5.
Catchpoole, Daniel, et al.. (2022). Identification of differentially distributed gene expression and distinct sets of cancer-related genes identified by changes in mean and variability. NAR Genomics and Bioinformatics. 4(1). lqab124–lqab124. 4 indexed citations
6.
Braytee, Ali, Dongmo Zhang, Andrew Johnston, et al.. (2022). Virtual reality for the observation of oncology models (VROOM): immersive analytics for oncology patient cohorts. Scientific Reports. 12(1). 11337–11337. 10 indexed citations
7.
Simoff, Simeon, et al.. (2022). Review of Innovative Immersive Technologies for Healthcare Applications. SHILAP Revista de lepidopterología. 2(2022). 27–39. 16 indexed citations
8.
Szemes, Marianna, Zsombor Melegh, Ji Hyun Park, et al.. (2021). Transcriptomic Analyses of MYCN-Regulated Genes in Anaplastic Wilms’ Tumour Cell Lines Reveals Oncogenic Pathways and Potential Therapeutic Vulnerabilities. Cancers. 13(4). 656–656. 6 indexed citations
9.
Szemes, Marianna, Zsombor Melegh, Alexander Greenhough, et al.. (2020). A Wnt-BMP4 Signaling Axis Induces MSX and NOTCH Proteins and Promotes Growth Suppression and Differentiation in Neuroblastoma. Cells. 9(3). 783–783. 6 indexed citations
10.
Schleif, William, Neil A. Goldenberg, & Daniel Catchpoole. (2020). The “Federated Pediatric BioCloud” Model: State of the Art and Future Prospects in Pediatric Biospecimen Science. The Journal of Pediatrics. 221. S43–S48. 1 indexed citations
11.
Kozlakidis, Zisis & Daniel Catchpoole. (2020). Why a New Journal? Introducing Innovations in Digital Health, Diagnostics, and Biomarkers. SHILAP Revista de lepidopterología. 1(1). 1–2. 1 indexed citations
12.
Catchpoole, Daniel, David Carpentieri, Suzanne Vercauteren, et al.. (2020). Pediatric Biobanking: Kids Are Not Just Little Adults. Biopreservation and Biobanking. 18(4). 258–265. 5 indexed citations
13.
Nguyễn, Quang Vinh, et al.. (2019). Visual Analytics of Genomic and Cancer Data: A Systematic Review. Cancer Informatics. 18. 2411581850–2411581850. 13 indexed citations
14.
Watson, Peter H., Robert E. Hewitt, Daniel Catchpoole, & William E. Grizzle. (2019). Biobank: What's in a Name?. Biopreservation and Biobanking. 17(3). 204–208. 8 indexed citations
15.
Wei, Jun S., Igor B. Kuznetsov, Shile Zhang, et al.. (2018). Clinically Relevant Cytotoxic Immune Cell Signatures and Clonal Expansion of T-Cell Receptors in High-Risk MYCN -Not-Amplified Human Neuroblastoma. Clinical Cancer Research. 24(22). 5673–5684. 76 indexed citations
16.
Kennedy, Paul, et al.. (2008). Comparison of visualization methods of genome-wide SNP profiles in childhood acute lymphoblastic leukaemia. UTS ePRESS (University of Technology Sydney). 111–121. 1 indexed citations
17.
Whiteford, Craig C., Sven Bilke, Braden T. Greer, et al.. (2007). Credentialing Preclinical Pediatric Xenograft Models Using Gene Expression and Tissue Microarray Analysis. Cancer Research. 67(1). 32–40. 91 indexed citations
18.
Stallings, Raymond L., Prakash Nair, John M. Maris, et al.. (2006). High-Resolution Analysis of Chromosomal Breakpoints and Genomic Instability Identifies PTPRD as a Candidate Tumor Suppressor Gene in Neuroblastoma. Cancer Research. 66(7). 3673–3680. 97 indexed citations
19.
Astuti, Dewi, Dean Gentle, Wendy N. Cooper, et al.. (2005). Epigenetic analysis of HIC1, CASP8, FLIP, TSP1, DCR1, DCR2, DR4, DR5, KvDMR1, H19 and preferential 11p15.5 maternal-allele loss in von Hippel-Lindau and sporadic phaeochromocytomas. Endocrine Related Cancer. 12(1). 161–172. 55 indexed citations
20.
Peaston, Anne E., Alessandra Franco, Daniel Catchpoole, et al.. (2001). MRP1 gene expression level regulates the death and differentiation response of neuroblastoma cells. British Journal of Cancer. 85(10). 1564–1571. 36 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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