Daniel Catchpoole

6.4k citations
126 papers · 2.6k · h-index 30

Impact in

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

Papers in

Daniel Catchpoole

123 papers receiving 2.5k citations

Peers

Daniel Catchpoole
Comparison fields: 5 of 151
  • Cancer Research 485
  • Neurology 454
  • Molecular Biology 1.3k
  • Oncology 348
  • Health Informatics 17
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Adam Resnick United States
Peter Riegman Netherlands
Waibhav Tembe United States
Shahab Asgharzadeh United States
Wei Keat Lim United States
Stephen Yip Canada
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Alexandre Irrthum Belgium
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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 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004141
2 2005109
3 200697
4 200993
5 200791
6 201084
7 200982
8 201880
9 199772
10 200472
11 201565
12 201164
13
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.
199357
14 201356
15 200555
16 201548
17 201046
18 201645
19 201445
20 200941

About Daniel Catchpoole

Daniel Catchpoole is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Neurology, Cancer Research and Computer Vision and Pattern Recognition, having authored 126 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (19 papers), Epigenetics and DNA Methylation (12 papers), Gene expression and cancer classification (12 papers), Ethics in Clinical Research (12 papers), Acute Lymphoblastic Leukemia research (11 papers), Cell Image Analysis Techniques (10 papers), Molecular Biology Techniques and Applications (9 papers) and Bioinformatics and Genomic Networks (9 papers). The work is most often cited by research in Cancer Research (485 citations), Neurology (454 citations), Molecular Biology (1.3k citations), Oncology (348 citations) and Health Informatics (17 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, PLoS ONE, BMC Genomics and Epigenetics.

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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