David Coomber

879 total citations
21 papers, 728 citations indexed

About

David Coomber is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David Coomber has authored 21 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Oncology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David Coomber's work include Cancer-related Molecular Pathways (11 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Epigenetics and DNA Methylation (4 papers). David Coomber is often cited by papers focused on Cancer-related Molecular Pathways (11 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Epigenetics and DNA Methylation (4 papers). David Coomber collaborates with scholars based in Singapore, Australia and United Kingdom. David Coomber's co-authors include David P. Lane, Robyn L. Ward, Bořivoj Vojtěšek, Roman Hrstka, Petr Müller, Nicholas J. Hawkins, Mary L. Disis, Philip A. Kuhlman, Chandra Verma and Duncan McGregor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

David Coomber

21 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Coomber Singapore 15 536 296 201 107 78 21 728
A. Takada Japan 8 494 0.9× 131 0.4× 157 0.8× 225 2.1× 59 0.8× 19 758
Helen Chung United States 6 502 0.9× 217 0.7× 498 2.5× 292 2.7× 42 0.5× 8 895
Rose K. Busch United States 18 878 1.6× 178 0.6× 108 0.5× 135 1.3× 70 0.9× 38 1.1k
Sangeeta Bafna United States 10 636 1.2× 290 1.0× 132 0.7× 206 1.9× 101 1.3× 12 896
Edgar Wawra Austria 16 314 0.6× 237 0.8× 196 1.0× 34 0.3× 113 1.4× 29 698
Josefine Gerhardt Switzerland 10 292 0.5× 181 0.6× 84 0.4× 81 0.8× 149 1.9× 12 618
Richard Beatson United Kingdom 15 765 1.4× 288 1.0× 167 0.8× 622 5.8× 70 0.9× 26 1.1k
Fritz Rudert Germany 14 523 1.0× 96 0.3× 120 0.6× 120 1.1× 66 0.8× 21 705
Aaron M. LeBeau United States 14 315 0.6× 296 1.0× 116 0.6× 67 0.6× 167 2.1× 28 686
M. E. Bramwell United Kingdom 14 684 1.3× 120 0.4× 334 1.7× 176 1.6× 70 0.9× 32 959

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-authorship network of co-authors of David Coomber

This figure shows the co-authorship network connecting the top 25 collaborators of David Coomber. A scholar is included among the top collaborators of David Coomber 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 David Coomber. David Coomber 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.
2.
Li, Jun, Hyung‐Ho Ha, Lin Guo, David Coomber, & Young‐Tae Chang. (2010). Discovery of novel zebrafish neural tracers by organism-based screening of a rosamine library. Chemical Communications. 46(17). 2932–2932. 13 indexed citations
3.
Brown, Christopher J., Shubhra Ghosh Dastidar, David Coomber, et al.. (2009). Rational Design and Biophysical Characterization of Thioredoxin-Based Aptamers: Insights into Peptide Grafting. Journal of Molecular Biology. 395(4). 871–883. 20 indexed citations
4.
Brown, Christopher J., et al.. (2008). The electrostatic surface of MDM2 modulates the specificity of its interaction with phosphorylated and unphosphorylated p53 peptides. Cell Cycle. 7(5). 608–610. 23 indexed citations
5.
Müller, Petr, Roman Hrstka, David Coomber, David P. Lane, & Bořivoj Vojtěšek. (2008). Chaperone-dependent stabilization and degradation of p53 mutants. Oncogene. 27(24). 3371–3383. 152 indexed citations
6.
Ménendez, Sergio, et al.. (2008). Regulation of the p14ARF promoter by DNA methylation. Cell Cycle. 7(1). 112–119. 26 indexed citations
7.
Coomber, David, et al.. (2007). Directed Evolution of p53 Variants with Altered DNA-binding Specificities by In Vitro Compartmentalization. Journal of Molecular Biology. 371(5). 1238–1248. 15 indexed citations
8.
Goh, Walter L., Meihui Xu, Declan P. Lunny, et al.. (2007). Detection of the p53 response in zebrafish embryos using new monoclonal antibodies. Oncogene. 27(5). 629–640. 64 indexed citations
9.
Coomber, David, et al.. (2007). Modulation of the p53-MDM2 Interaction by Phosphorylation of Thr18: A Computational Study. Cell Cycle. 6(21). 2604–2611. 37 indexed citations
10.
Lim, Yun-Ping, Anne Song, B Vojtĕsek, et al.. (2006). The p53 knowledgebase: an integrated information resource for p53 research. Oncogene. 26(11). 1517–1521. 37 indexed citations
11.
Coomber, David, et al.. (2004). CIS display: In vitro selection of peptides from libraries of protein–DNA complexes. Proceedings of the National Academy of Sciences. 101(9). 2806–2810. 114 indexed citations
12.
Coomber, David. (2003). Panning of Antibody Phage-Display Libraries: Standard Protocols. Humana Press eBooks. 178. 133–145. 30 indexed citations
13.
Ménendez, Sergio, et al.. (2003). Oligomerization of the Human ARF Tumor Suppressor and Its Response to Oxidative Stress. Journal of Biological Chemistry. 278(21). 18720–18729. 26 indexed citations
14.
O’Brien, Philippa M., et al.. (2001). Immunoglobulin genes expressed by B-lymphocytes infiltrating cervical carcinomas show evidence of antigen-driven selection. Cancer Immunology Immunotherapy. 50(10). 523–532. 27 indexed citations
15.
Coomber, David & Robyn L. Ward. (2001). Isolation of human antibodies against the central DNA binding domain of p53 from an individual with colorectal cancer using antibody phage display.. PubMed. 7(9). 2802–8. 11 indexed citations
16.
Ward, Robyn L., Nicholas J. Hawkins, David Coomber, & Mary L. Disis. (1999). Antibody immunity to the HER-2/neu oncogenic protein in patients with colorectal cancer. Human Immunology. 60(6). 510–515. 61 indexed citations
17.
Coomber, David, Nicholas J. Hawkins, Michelle A. Clark, & Robyn L. Ward. (1999). Generation of Anti-p53 Fab Fragments from Individuals with Colorectal Cancer Using Phage Display. The Journal of Immunology. 163(4). 2276–2283. 20 indexed citations
18.
Coomber, David, et al.. (1996). Characterisation and clinicopathological correlates of serum anti-p53 antibodies in breast and colon cancer. Journal of Cancer Research and Clinical Oncology. 122(12). 757–762. 23 indexed citations
19.
Ward, Robyn L., Fernando S. Santiago, Nicholas J. Hawkins, et al.. (1995). A rapid PCR ELISA for the detection of activated K-ras in colorectal cancer. Molecular Pathology. 48(5). M273–M277. 11 indexed citations
20.
Coomber, David, William J. O’Sullivan, & Annette M. Gero. (1994). Adenosine analogues as antimetabolites against Plasmodium falciparum malaria. International Journal for Parasitology. 24(3). 357–365. 9 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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