Daniel Catchpoole

6.3k citations
124 papers · 2.5k indexed · 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

120 papers receiving 2.5k citations

Peers

Daniel Catchpoole
Comparison fields: 5 of 154
  • Cancer Research 571
  • Neurology 470
  • Molecular Biology 1.5k
  • Oncology 415
  • Health Informatics 19
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Adam Resnick United States
Peter Riegman Netherlands
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Stephen Yip Canada
Shahab Asgharzadeh 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 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004141
2 2005107
3 200697
4 200994
5 200791
6 201084
7 200982
8 201876
9 199773
10 200472
11 201563
12 201161
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 201547
17 201046
18 201644
19 201443
20 200940

About Daniel Catchpoole

Daniel Catchpoole is a scholar working on Biophysics, Health Informatics, Neurology, Cancer Research and Molecular Biology, having authored 124 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (20 papers), Gene expression and cancer classification (14 papers), Epigenetics and DNA Methylation (13 papers), Cell Image Analysis Techniques (12 papers), Acute Lymphoblastic Leukemia research (12 papers), Ethics in Clinical Research (11 papers), Bioinformatics and Genomic Networks (10 papers) and Single-cell and spatial transcriptomics (9 papers). The work is most often cited by research in Cancer Research (571 citations), Neurology (470 citations), Molecular Biology (1.5k citations), Oncology (415 citations) and Health Informatics (19 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, BMC Genomics and The Journal of Pediatrics.

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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