Daniel Catchpoole

6.4k citations
141 papers · 2.7k · h-index 31

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
  • Neurology top 2%
    • Neuroblastoma Research and Treatments

Papers in

Daniel Catchpoole

136 papers receiving 2.7k citations

Peers

Daniel Catchpoole
Comparison fields: 5 of 153
  • Cancer Research 499
  • Neurology 479
  • Molecular Biology 1.4k
  • Health Informatics 20
  • Oncology 358
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Obi L. Griffith United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Daniel Catchpoole, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Catchpoole Line = papers co-authored together Daniel Catchpoole links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004155
2 2005112
3 2006100
4 200996
5 200795
6 201087
7 200984
8 201880
9 199778
10 200473
11 201566
12 201165
13 201362
14
Etoposide-induced cytotoxicity in two human T-cell leukemic lines: delayed loss of membrane permeability rather than DNA fragmentation as an indicator of programmed cell death.
199359
15 200555
16 201049
17 201549
18 201645
19 201445
20 201742

About Daniel Catchpoole

Daniel Catchpoole is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Neurology, Computer Vision and Pattern Recognition and Cancer Research, having authored 141 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (21 papers), Gene expression and cancer classification (17 papers), Cell Image Analysis Techniques (15 papers), Bioinformatics and Genomic Networks (13 papers), Epigenetics and DNA Methylation (12 papers), Ethics in Clinical Research (12 papers), Acute Lymphoblastic Leukemia research (11 papers) and AI in cancer detection (10 papers). The work is most often cited by research in Cancer Research (499 citations), Neurology (479 citations), Molecular Biology (1.4k citations), Health Informatics (20 citations) and Oncology (358 citations). Daniel Catchpoole has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Paul Kennedy, Eamonn R. Maher, Farida Latif, Bernard W. Stewart, Javed Khan, Thomas L. Dunwell, Jun S. Wei, Dean Gentle, Wendy N. Cooper and Sven Bilke. Their work appears in journals such as Biopreservation and Biobanking, BMC Bioinformatics, Cancer Research, PLoS ONE and British Journal of Cancer.

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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