David Coomber

881 citations
21 papers · 760 · h-index 15

Impact in

Papers in

    • Epigenetics and DNA Methylation 4
    • RNA modifications and cancer 4
    • Glycosylation and Glycoproteins Research 3
    • Ubiquitin and proteasome pathways 2
    • RNA Interference and Gene Delivery 2
    • Cancer-related Molecular Pathways 10

David Coomber

21 papers receiving 731 citations

Peers

David Coomber
Comparison fields: 5 of 76
  • Oncology 287
  • Radiology, Nuclear Medicine and Imaging 200
  • Molecular Biology 532
  • Biotechnology 60
  • Cancer Research 78
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A. Takada Japan
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Citations per field
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Citations per year

Countries citing papers authored by David Coomber

Since Specialization
Citations

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

Fields of papers citing papers by David Coomber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Coomber, 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 David Coomber Line = papers co-authored together David Coomber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008156
2 2004120
3 200765
4 199963
5 200642
6 200739
7 200332
8 200330
9 200128
10 200826
11 199625
12 200823
13 200921
14 199920
15 200716
16 201013
17
Isolation of human antibodies against the central DNA binding domain of p53 from an individual with colorectal cancer using antibody phage display.
200111
18 199511
19 199410
20 20106

About David Coomber

David Coomber is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Biotechnology, having authored 21 papers that have together received 760 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (4 papers), Glycosylation and Glycoproteins Research (3 papers), Ubiquitin and proteasome pathways (2 papers), T-cell and B-cell Immunology (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Oncology (287 citations), Radiology, Nuclear Medicine and Imaging (200 citations), Molecular Biology (532 citations), Biotechnology (60 citations) and Cancer Research (78 citations). David Coomber has collaborated with scholars based in Singapore, Australia and United Kingdom. Frequent co-authors include David P. Lane, Robyn L. Ward, Roman Hrstka, Petr Müller, Bořivoj Vojtěšek, Nicholas J. Hawkins, Mary L. Disis, Duncan McGregor, Philip A. Kuhlman and Chandra Verma. Their work appears in journals such as Cell Cycle, Oncogene, Journal of Molecular Biology, Molecular Pathology and The Journal of Immunology.

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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